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Heart disease,

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still the single leading cause of death,

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the number one killer.

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The number
one killer in the US.

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We're
spending so much money

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and yet the outcomes are all worse.

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Heart disease has become

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the most frequent cause of death.

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Cardiovascular ailments

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continue to take American lives.

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You can
reduce the risk of heart attack

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if you eat a diet low in
cholesterol and saturated fats.

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We're still
taught that high-fat diets

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cause heart disease because
they raise LDL cholesterol.

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We
would talk about cholesterol

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being bad. Higher cholesterol
is gonna clog your veins.

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Is that what we should
be focusing on the most?

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And I think, no, it absolutely is not.

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The
only reason to focus on

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cholesterol is because we have drugs.

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There's no other reason.

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More drugs, more illnesses,
and it's not working.

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It's
a broad failure of the

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medical system, I think. It's
just the paradigm is wrong.

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You go to the medical literature,

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it's all on flimsy data based
off of a sick population.

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cholesterol
was not a good predictor

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of who's gonna have a heart attack.

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Now is our chance.

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This one study could change everything.

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These people could finally
help us crack the code.

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I'm
sorry, that's not ethical.

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Incredibly reckless.

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No regard for human life.

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I feel like I've underestimated

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the wind that's in front of us.

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If we think high LDL in
everybody is equally concerning,

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if that's wrong, then we've
been wrong for a very long time.

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All over the world,

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people are looking for ways
to live a healthier life,

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free from medication and disease.

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I have traveled so many places

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to get some of these
stories from people like me,

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people who suffered,
sometimes for decades,

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with chronic illness,

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and then, in what seems like a miracle,

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a simple change in diet
turns it all around.

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My symptoms
all improved dramatically.

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Many people lowering
or getting off medication,

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finding relief from pain.

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It really
did change my life.

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It literally felt like
the lights had come on.

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They have hope again, life again.

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So many people have found their solution

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in a Ketogenic diet.

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I was
surprised at first that

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just changing my diet

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had such a night and day
effect on my mental health.

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There's new hope

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for the reversal of mental illness.

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It's almost like a different existence.

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The resolution
of eating disorders.

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I'd never
been able to go that long

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without eating

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or without, like, obsessing
about it and thinking about it.

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The reversal of Type 2 diabetes

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and safe management of Type 1.

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His diabetes is
completely under control.

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He just looks healthy.

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Every
day is just a better day.

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There is hope.

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And that is what I want everyone to know.

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That was my story,

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and it's a story I've seen
tens of thousands of times.

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I wish the story ended here.

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A new report from the
American Heart Association

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is shedding light on the risks associated

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with some popular eating plans.

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The problem is
modern medicine believes

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that Ketogenic diets can also kill us.

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These diets that were
very low in carbohydrates

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raise the risk for bad cholesterol,

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and that is a risk
factor for heart disease.

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If you have that much fat,
the bad cholesterol goes up,

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increasing your risk of heart problems.

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There's an assumption

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that if someone starts a Ketogenic diet,

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automatically you increase
your risk of heart disease.

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And that really is unfounded.

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Most people on Keto

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see little change in their cholesterol,

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but surprisingly, it's the
leanest, healthiest individuals

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who can see their levels go up, a lot.

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The cholesterol went through the roof.

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My LDL is way up.

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It was the highest I've seen it.

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I was in the best I've ever been in,

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yet one lab number was
saying that this was bad.

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I just knew how good I
felt when I was low carb,

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but I did freak out a little.

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I was really afraid.

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I was really scared.

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Modern medicine
believes there's no debate.

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These people are a heart
attack waiting to happen.

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Straight out, LDL cholesterol

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causes heart disease and stroke.

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LDL cholesterol is
causative, without a doubt.

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LDL causes heart
disease, without question.

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You'll have more heart
attacks and more strokes.

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A lot of times LDL is described

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as though it is the disease.

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If you have high LDL,

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it's as good as if you
already have heart disease,

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or at least that it's
right around the corner.

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But what if modern medicine is wrong?

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Would
you like to see your heart

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in three dimensions?

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What if this
isn't a medical problem

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but a scientific opportunity?

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Well, we have the

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anterior descending artery here.

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Why not just go ahead
and study these folks?

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That's one of the
fascinating things about Dave.

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He's an outsider who came in

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and is starting to sort of upend medicine.

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My story began when
I saw my own cholesterol

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skyrocket on this diet

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and I became obsessed
with finding out why.

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But I'm not a medical professional.

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I've gathered hundreds of blood tests

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and I tracked everything I consume.

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But I don't work for a lab.

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I've authored peer-reviewed papers

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to share these discoveries.

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Well, then, Dave,

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please come and tell us more about it.

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And now I'm spearheading

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a highly controversial research study

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with a team of doctors and PhDs

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across multiple institutions.

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But I'm not a trained researcher.

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I'm an engineer chasing
this medical mystery

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around the world and seeking an answer

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for the countless individuals

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who rely on Ketogenic
diets for their health.

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I need for what they're experiencing

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to tell the story for us.

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And that's what's exciting,
getting to see how different

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each of the locations are,

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but yet how common the phenomenon is.

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This isn't to say the
Ketogenic diet is a panacea.

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It's not for everyone.

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It's certainly not for
every medical condition.

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But for some medical conditions
and for some individuals,

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it seems to be a lifeline.

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And yet they have this one problem.

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They see this extraordinary increase

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in their LDL cholesterol.

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Why not just go ahead and find out,

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are they at a higher risk?

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He's throwing strikes.

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We really need to have an answer,

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not just for the adults,
but also for the children,

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who might have a medical reason

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to be on a very low carbohydrate diet.

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And they deserve it from us.

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91.

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Worldwide, the
leading causes of death

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are chronic diseases.

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You already know these well,

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heart disease, stroke, Type 2 Diabetes,

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Alzheimer's, and kidney disease.

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A key driver of most chronic diseases

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is chronically elevated insulin.

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And a major contributor to
chronically elevated insulin

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is the over-consumption of
sugar and refined carbohydrates.

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Ketogenic diets, often
referred to as Keto,

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restrict carbohydrates to less
than 5% of daily calories.

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They include high amounts of healthy fats

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and a moderate amount of protein.

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Studies on Keto diets show
that they can reduce insulin,

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normalize blood sugar,
promote weight loss,

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and restore metabolic health.

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And yet every physician
I've met on this journey

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was taught that Keto diets
cause high cholesterol,

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and high cholesterol causes
the number one killer,

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heart disease.

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Just cholesterol is bad.

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It causes heart diseases.

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We would talk about
cholesterol being bad.

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Higher cholesterol are
gonna clog your veins.

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The assumption was just,
well, everyone knows

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that the cholesterol is the problem.

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Enough said.

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But what is cholesterol?

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cholesterol is an essential molecule

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found in every cell in the human body.

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We cannot live without it.

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In fact, whatever cholesterol

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we don't get from the foods we eat,

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our liver will make on its own.

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And the liver is not alone.

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Nearly every cell in the human body

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can synthesize cholesterol.

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cholesterol is essential for
building your cell membranes.

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It also helps your liver make bile,

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which is needed to
digest the foods you eat.

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cholesterol also plays a starring role

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in the central nervous system,

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ensuring your brain communicates
well with your body.

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It also helps synthesize vitamin D,

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which supports your immune system,

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and sex hormones like
testosterone and estrogen.

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So if every cell in our
bodies needs cholesterol

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and we can't live without it,

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how did it become the
villain of modern medicine?

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Well, here's an interesting fact.

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Most studies that show an association

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between elevated cholesterol
and heart disease

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are looking at general populations

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who are, let's face it,
generally unhealthy.

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There was a recent study that showed 93%

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of the American population has
suboptimal metabolic health.

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93%.

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So then the question becomes,

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well, would that same evidence

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translate to a metabolically
healthy population

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or a population who's in Ketosis?

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And we don't have that evidence, right?

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That population has not been studied.

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What if we back out high insulin?

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What if we back out obesity,
diabetes, pre-diabetes?

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What if we take a look at healthy people

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and see if cholesterol matters the same?

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What if high cholesterol

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in healthy people on a Keto diet

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is telling us a different story?

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This is the kind of thing I
like to be eating, or this.

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Now you might be like,

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"Huh, how many photos
of food do you have?"

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Good question.

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About, I don't know, this many.

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I've been pretty much
a nerd my whole life.

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And I liked playing with Legos.

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I liked reading comic books.

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I liked playing video games.

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I liked playing around with programs

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and writing little games
for myself and my friends.

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I like building things.

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I remember I really
impressed my dad one time

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'cause I built a
transmission for a Lego car.

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And it was fun.

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Just the building and the
constructing of things

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is enjoyable.

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But here's one of the
things about all engineers.

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We actually spend more
time taking things apart.

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I've been taking photographs of my food

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and lot of these metrics

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for coming on to eight
years in a couple of months.

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I'd just always be sure that
my hand was in the shot,

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but usually I'd have, like, my fist nearby

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so you could get a sense of volume.

265
00:12:07,393 --> 00:12:09,018
Why do you do this?

266
00:12:09,019 --> 00:12:10,688
I wanted to track all my food

267
00:12:12,148 --> 00:12:16,151
so that I had the data to
match with the blood work I do.

268
00:12:16,152 --> 00:12:18,946
And I have a perfect record
of everything I've consumed.

269
00:12:20,239 --> 00:12:21,072
How many photos

270
00:12:21,073 --> 00:12:23,742
has Dave taken of you versus food?

271
00:12:23,743 --> 00:12:25,744
Well, I think if anybody

272
00:12:25,745 --> 00:12:26,703
looked through their phone,

273
00:12:26,704 --> 00:12:30,790
they'd think that something
was very, very off,

274
00:12:30,791 --> 00:12:34,753
because there are far
more pictures of his food,

275
00:12:34,754 --> 00:12:36,546
his food and his fist.

276
00:12:36,547 --> 00:12:39,090
I even have a lot of gestures.

277
00:12:39,091 --> 00:12:41,426
While the hand enclosed

278
00:12:41,427 --> 00:12:44,179
is what's showing up shot after shot,

279
00:12:44,180 --> 00:12:48,558
I actually have some
things like this gesture.

280
00:12:48,559 --> 00:12:50,560
What this means is I decided

281
00:12:50,561 --> 00:12:52,772
to start eating two
hot dogs without a bun.

282
00:12:53,898 --> 00:12:56,608
But an open hand means that I stopped.

283
00:12:56,609 --> 00:13:00,153
And that's because these hot
dogs were gross.

284
00:13:00,154 --> 00:13:02,489
Being the engineer geek that he is,

285
00:13:02,490 --> 00:13:04,240
he just has a different way of thinking,

286
00:13:04,241 --> 00:13:08,119
that maybe somebody who spent
their entire life in medicine,

287
00:13:08,120 --> 00:13:10,955
than how they would think
in their thought process.

288
00:13:10,956 --> 00:13:12,248
The more I could take things apart

289
00:13:12,249 --> 00:13:13,625
and see how they worked on the inside,

290
00:13:13,626 --> 00:13:16,044
the more I became fascinated.

291
00:13:16,045 --> 00:13:18,338
And nowhere did I become more fascinated

292
00:13:18,339 --> 00:13:21,133
than with code, with programming.

293
00:13:24,220 --> 00:13:27,555
As early as I can
remember, I loved software.

294
00:13:27,556 --> 00:13:30,850
Eventually, I'd be writing my
own code, starting businesses,

295
00:13:30,851 --> 00:13:33,895
and building platforms
with teams of engineers.

296
00:13:33,896 --> 00:13:37,774
I love technology, and
technology loved me back.

297
00:13:37,775 --> 00:13:40,068
But it came at a cost.

298
00:13:40,069 --> 00:13:42,821
Like my fellow developers,
my diet was terrible

299
00:13:42,822 --> 00:13:43,655
and my blood work

300
00:13:43,656 --> 00:13:45,907
was showing higher and
higher glucose levels,

301
00:13:45,908 --> 00:13:47,951
suggesting I was developing diabetes,

302
00:13:47,952 --> 00:13:49,328
like most of my family.

303
00:13:50,412 --> 00:13:54,249
Finally, in 2015, I decided
to do something about it.

304
00:13:54,250 --> 00:13:56,918
The low-carb diet was
steadily rising in popularity,

305
00:13:56,919 --> 00:13:59,170
especially for treating diabetes,

306
00:13:59,171 --> 00:14:01,422
which made a lot of sense to me.

307
00:14:01,423 --> 00:14:04,384
And when I cut back on
carbohydrates, it worked.

308
00:14:04,385 --> 00:14:06,344
Not only did my blood sugar come down,

309
00:14:06,345 --> 00:14:09,097
I dropped 30 pounds, my
energy levels increased,

310
00:14:09,098 --> 00:14:12,308
my sleep improved, my running improved.

311
00:14:12,309 --> 00:14:16,229
Everything got better, except one thing,

312
00:14:16,230 --> 00:14:18,357
one thing that could not be ignored.

313
00:14:19,650 --> 00:14:22,026
I remember that day like it was yesterday.

314
00:14:22,027 --> 00:14:27,032
I remember it because that
one 8 1/2 by 11 piece of paper

315
00:14:28,284 --> 00:14:30,368
completely changed my life.

316
00:14:33,789 --> 00:14:37,877
I just kept looking at those
labs completely mystified.

317
00:14:40,963 --> 00:14:42,255
I kind of wanted a second opinion.

318
00:14:42,256 --> 00:14:43,632
Maybe it was a lab error.

319
00:14:45,384 --> 00:14:47,845
So why not just get my
blood work all over again?

320
00:14:48,846 --> 00:14:49,721
In the meantime,

321
00:14:49,722 --> 00:14:52,056
I'm trying to learn everything
I can about cholesterol.

322
00:14:52,057 --> 00:14:54,559
But I have no background
in medicine or research

323
00:14:54,560 --> 00:14:58,354
so I'd just get frustrated
and then depressed.

324
00:14:58,355 --> 00:15:00,399
And my appetite had fallen off.

325
00:15:01,400 --> 00:15:03,359
But I kept thinking, that's
actually a good thing.

326
00:15:03,360 --> 00:15:05,737
If my appetite's fallen off, guess what?

327
00:15:05,738 --> 00:15:10,116
I'm eating less fat, and
especially less saturated fat.

328
00:15:10,117 --> 00:15:12,076
Because if I'm eating less saturated fat,

329
00:15:12,077 --> 00:15:15,246
my LDL should drop, right?

330
00:15:15,247 --> 00:15:16,414
But that's not what happened.

331
00:15:16,415 --> 00:15:17,374
Not at all.

332
00:15:18,959 --> 00:15:21,002
The second test was two weeks later.

333
00:15:21,003 --> 00:15:25,089
Instead of dropping, my
LDL jumped up, a lot.

334
00:15:25,090 --> 00:15:27,133
It climbed another hundred points.

335
00:15:27,134 --> 00:15:31,596
And suddenly a lot of my
fear became fascination.

336
00:15:31,597 --> 00:15:35,642
I knew, I knew right then,
there's way more to this story.

337
00:15:35,643 --> 00:15:38,227
It's not as simple as it's
just fat or saturated fat

338
00:15:38,228 --> 00:15:41,397
because this was literally
the first experiment

339
00:15:41,398 --> 00:15:43,275
that I didn't even intend to do,

340
00:15:44,401 --> 00:15:47,111
yet I was doing it.

341
00:15:47,112 --> 00:15:50,865
I was finding out that
the thing that I was told

342
00:15:50,866 --> 00:15:52,701
was driving up my cholesterol,

343
00:15:53,953 --> 00:15:57,372
it couldn't have been all
there was to the story.

344
00:15:57,373 --> 00:15:59,707
There had to be more.

345
00:15:59,708 --> 00:16:02,543
And at that point it, it
turned into a full obsession.

346
00:16:03,963 --> 00:16:06,673
So I started taking pictures
of my food all the time,

347
00:16:06,674 --> 00:16:08,883
and that allowed me to
have a tighter record

348
00:16:08,884 --> 00:16:11,886
of where my food matched
with my lipid levels,

349
00:16:11,887 --> 00:16:14,806
because at the same time, I'm
getting constant blood tests

350
00:16:14,807 --> 00:16:16,265
and tracking my cholesterol,

351
00:16:16,266 --> 00:16:18,559
then comparing it to my food intake.

352
00:16:18,560 --> 00:16:21,270
So I could actually see
these changes in real time.

353
00:16:21,271 --> 00:16:23,773
And the very first pattern that emerged

354
00:16:23,774 --> 00:16:26,526
was this inversion pattern.

355
00:16:26,527 --> 00:16:29,320
My baseline LDL is still high on Keto,

356
00:16:29,321 --> 00:16:33,241
but, get this, my numbers
can swing dramatically

357
00:16:33,242 --> 00:16:35,743
based on what I eat on a daily basis,

358
00:16:35,744 --> 00:16:38,162
and not the way we might think.

359
00:16:38,163 --> 00:16:40,707
When I consumed less food on Keto,

360
00:16:40,708 --> 00:16:44,669
including less saturated
fat, my LDL jumped higher.

361
00:16:44,670 --> 00:16:47,672
When I consumed more, my LDL dropped.

362
00:16:47,673 --> 00:16:49,132
That was the first signal.

363
00:16:49,133 --> 00:16:50,842
The first signal was, wait, wait, wait,

364
00:16:50,843 --> 00:16:53,094
these levels are super dynamic.

365
00:16:53,095 --> 00:16:56,347
All I need to do is track my food,

366
00:16:56,348 --> 00:16:59,350
take a higher frequency of these tests,

367
00:16:59,351 --> 00:17:00,476
and then see if that feedback

368
00:17:00,477 --> 00:17:01,769
gives me meaningful information.

369
00:17:01,770 --> 00:17:02,603
And it did.

370
00:17:02,604 --> 00:17:05,690
It was giving me meaningful
information in real time.

371
00:17:05,691 --> 00:17:07,275
In just the span of a few months,

372
00:17:07,276 --> 00:17:11,571
I was already wanting to go to
the next low carb conference,

373
00:17:11,572 --> 00:17:13,364
and knock on their doors, and say,

374
00:17:13,365 --> 00:17:14,741
"Look, guys, you've gotta check this out.

375
00:17:14,742 --> 00:17:16,076
You've gotta look at this."

376
00:17:21,290 --> 00:17:23,958
It's my very first low carb conference.

377
00:17:23,959 --> 00:17:25,376
And I brought my laptop with me,

378
00:17:25,377 --> 00:17:26,794
which had the data in it.

379
00:17:26,795 --> 00:17:28,421
And it had the graphs.

380
00:17:28,422 --> 00:17:31,507
The thing was that it
was our very first event,

381
00:17:31,508 --> 00:17:33,676
and I was spinning like a top,

382
00:17:33,677 --> 00:17:36,220
and he kept getting in
my face with his laptop.

383
00:17:36,221 --> 00:17:37,055
You know, like, "Look at it."

384
00:17:37,056 --> 00:17:39,682
And I was saying, "Yeah, Dave,
thanks, but, you know..."

385
00:17:39,683 --> 00:17:41,142
"No, no, no, like..."

386
00:17:41,143 --> 00:17:42,727
He was so passionate about it.

387
00:17:42,728 --> 00:17:45,605
And all I had was eight
blood tests at that time,

388
00:17:45,606 --> 00:17:48,274
but it showed this inversion pattern.

389
00:17:48,275 --> 00:17:49,817
And I started talking to them

390
00:17:49,818 --> 00:17:51,737
about what I thought it might be.

391
00:17:52,988 --> 00:17:57,575
And they all looked at me like
I was an alien.

392
00:17:57,576 --> 00:17:58,993
But the most astounding thing to me

393
00:17:58,994 --> 00:18:00,620
was everybody was coming to me saying,

394
00:18:00,621 --> 00:18:03,039
"Have you met that gentleman

395
00:18:03,040 --> 00:18:04,957
who's walking around with a laptop?"

396
00:18:04,958 --> 00:18:07,960
And he's got this graph
and he's showing everybody

397
00:18:07,961 --> 00:18:10,463
you can adjust your LDL
and your cholesterol

398
00:18:10,464 --> 00:18:13,091
by what you eat on a daily basis.

399
00:18:13,092 --> 00:18:16,595
Yeah, I'm sure I came off
as, you know, a bit kooky.

400
00:18:17,513 --> 00:18:21,474
Regardless, though, it didn't
change how passionate I was

401
00:18:21,475 --> 00:18:24,811
about making sure that
they could understand

402
00:18:24,812 --> 00:18:26,938
just how dynamic these levels were.

403
00:18:26,939 --> 00:18:29,357
The usual we think about
lipids and lipoproteins

404
00:18:29,358 --> 00:18:31,109
is on the order of months.

405
00:18:31,110 --> 00:18:32,360
Now here's Dave who comes along

406
00:18:32,361 --> 00:18:34,028
with his end of one experiment and says,

407
00:18:34,029 --> 00:18:35,655
"In a matter of days,

408
00:18:35,656 --> 00:18:38,283
I can radically change my cholesterol."

409
00:18:39,660 --> 00:18:42,161
We've not talked about that in lipidology.

410
00:18:42,162 --> 00:18:43,663
If anybody has any questions,

411
00:18:43,664 --> 00:18:46,207
feel free to post them here in the chat.

412
00:18:46,208 --> 00:18:47,917
The more I shared my discoveries,

413
00:18:47,918 --> 00:18:50,044
the more people started paying attention.

414
00:18:50,045 --> 00:18:52,463
Dave is a software engineer

415
00:18:52,464 --> 00:18:54,340
who got ridiculously interested

416
00:18:54,341 --> 00:18:57,009
in self experimentation, nutrition.

417
00:18:57,010 --> 00:18:58,261
I wanna thank Dave Feldman,

418
00:18:58,262 --> 00:19:00,263
an engineer who came into this field.

419
00:19:00,264 --> 00:19:02,390
Dave Feldman, I think it's extraordinary

420
00:19:02,391 --> 00:19:03,975
that we've got an engineer.

421
00:19:03,976 --> 00:19:07,436
Dave Feldman noticed that
when he went on a low carb diet,

422
00:19:07,437 --> 00:19:08,271
his LDL-

423
00:19:08,272 --> 00:19:10,439
Dave Feldman is someone
you'd wanna have on too.

424
00:19:10,440 --> 00:19:12,692
Dave Feldman, who's been
a guest on the podcast-

425
00:19:12,693 --> 00:19:14,819
I respect Dave Feldman.

426
00:19:14,820 --> 00:19:17,572
Dave Feldman, who's been on the podcast.

427
00:19:17,573 --> 00:19:19,115
I mentioned a guy named
Dave Feldman and he was-

428
00:19:19,116 --> 00:19:21,909
And Dave Feldman is an engineer

429
00:19:21,910 --> 00:19:23,620
who stumbled onto this mystery.

430
00:19:24,913 --> 00:19:26,706
And that's how it all started.

431
00:19:26,707 --> 00:19:28,040
They all thought I was a little crazy,

432
00:19:28,041 --> 00:19:32,170
which maybe I am because I put
my engineering career on hold

433
00:19:32,171 --> 00:19:35,591
and jumped full time into
the world of science.

434
00:19:45,434 --> 00:19:47,685
It's fascinating because now

435
00:19:47,686 --> 00:19:49,562
I'm connected with all these people

436
00:19:49,563 --> 00:19:51,314
who experienced the same thing I did.

437
00:19:51,315 --> 00:19:54,400
It's like they're echoing
back the same story,

438
00:19:54,401 --> 00:19:58,237
where they feel like they
found the fountain of youth.

439
00:19:58,238 --> 00:20:00,448
All these things improved
and there's a lot of people

440
00:20:00,449 --> 00:20:02,533
who are getting medical benefits

441
00:20:02,534 --> 00:20:04,994
from dropping their
carbohydrates way down,

442
00:20:04,995 --> 00:20:07,789
but you've got this one
thing, this one thing.

443
00:20:11,126 --> 00:20:14,503
I have to know, I have to
know if this is a problem.

444
00:20:14,504 --> 00:20:17,715
Because it's the only one,
it's the only one I can see.

445
00:20:17,716 --> 00:20:18,550
Alison?

446
00:20:20,427 --> 00:20:21,260
Hi.

447
00:20:21,261 --> 00:20:22,094
Hello.

448
00:20:22,095 --> 00:20:22,929
How are you?

449
00:20:22,930 --> 00:20:24,305
Come on in.

450
00:20:24,306 --> 00:20:26,265
I've landed in Pennsburg, Pennsylvania

451
00:20:26,266 --> 00:20:27,767
to meet 10-year-old Johnny.

452
00:20:27,768 --> 00:20:29,352
Hey.

453
00:20:29,353 --> 00:20:30,937
Tell me a little bit about Johnny.

454
00:20:30,938 --> 00:20:32,188
What kind of kid is he?

455
00:20:32,189 --> 00:20:36,067
So Johnny is all boy.

456
00:20:36,068 --> 00:20:38,653
I'm gonna start with that.

457
00:20:38,654 --> 00:20:40,697
He's very, very active.

458
00:20:42,157 --> 00:20:44,408
Do a full windup, all right?

459
00:20:44,409 --> 00:20:46,411
You could go slow, slow with the windup.

460
00:20:47,746 --> 00:20:50,414
He turned 10 last April

461
00:20:50,415 --> 00:20:54,001
and he played with 11 and 12 year olds.

462
00:20:54,002 --> 00:20:55,002
And some of those 12 year olds

463
00:20:55,003 --> 00:20:57,755
actually were almost 13 year olds.

464
00:20:57,756 --> 00:20:59,840
And he didn't miss a beat.

465
00:20:59,841 --> 00:21:02,760
Like, I think I can do
like 50 miles per hour,

466
00:21:02,761 --> 00:21:05,221
like, right-handed.

467
00:21:05,222 --> 00:21:07,182
I sure (indistinct) 12 year olds too.

468
00:21:08,141 --> 00:21:09,809
Last year, Johnny was diagnosed

469
00:21:09,810 --> 00:21:11,269
with Type 1 diabetes.

470
00:21:11,270 --> 00:21:14,355
His condition requires
vigilant blood sugar monitoring

471
00:21:14,356 --> 00:21:15,940
and insulin therapy.

472
00:21:15,941 --> 00:21:19,193
This is .5 units of R insulin.

473
00:21:19,194 --> 00:21:21,696
He'll get this right
before he eats breakfast.

474
00:21:21,697 --> 00:21:23,072
Insulin injections are crucial

475
00:21:23,073 --> 00:21:24,907
for individuals with Type 1 diabetes

476
00:21:24,908 --> 00:21:27,576
because their bodies
don't produce insulin,

477
00:21:27,577 --> 00:21:29,078
a hormone needed to regulate blood sugar.

478
00:21:29,079 --> 00:21:30,330
There you go.

479
00:21:31,248 --> 00:21:32,331
Without insulin,

480
00:21:32,332 --> 00:21:33,874
glucose builds up in the bloodstream

481
00:21:33,875 --> 00:21:35,419
to dangerously high levels.

482
00:21:36,336 --> 00:21:38,629
Injections of insulin unlock the cells,

483
00:21:38,630 --> 00:21:40,966
allowing them to absorb glucose properly,

484
00:21:41,800 --> 00:21:44,052
keeping blood glucose levels normal.

485
00:21:45,762 --> 00:21:47,847
But the amount of insulin Johnny requires

486
00:21:47,848 --> 00:21:50,309
is greatly affected by the foods he eats.

487
00:21:51,143 --> 00:21:54,103
Type 1 diabetes, the
mantra has always been

488
00:21:54,104 --> 00:21:55,980
eat whatever you want, eat your carbs,

489
00:21:55,981 --> 00:21:57,732
and cover it with insulin.

490
00:21:57,733 --> 00:21:59,483
Your child
will still be able to eat

491
00:21:59,484 --> 00:22:01,736
all of his or her favorite foods.

492
00:22:01,737 --> 00:22:02,903
Because with Type 1 diabetes,

493
00:22:02,904 --> 00:22:05,114
the risk of too low of insulin

494
00:22:05,115 --> 00:22:07,366
is as great as too high of insulin.

495
00:22:07,367 --> 00:22:10,995
And that's unfortunately
why, in the long run,

496
00:22:10,996 --> 00:22:12,830
they tend to do pretty poorly,

497
00:22:12,831 --> 00:22:17,084
because the treatment
guidelines are very lax

498
00:22:17,085 --> 00:22:19,086
about how aggressive to be.

499
00:22:19,087 --> 00:22:23,257
I can have a cupcake and get
insulin for it and be okay.

500
00:22:23,258 --> 00:22:25,843
That's what they kept
saying, feed him what he wants,

501
00:22:25,844 --> 00:22:27,595
you dose accordingly.

502
00:22:27,596 --> 00:22:30,848
So I have pictures of him,
like, in the hospital bed

503
00:22:30,849 --> 00:22:35,353
with his IVs and he's shoveling
pancakes covered in syrup.

504
00:22:35,354 --> 00:22:38,439
That's the highest
his blood sugar has been

505
00:22:38,440 --> 00:22:41,567
since we knew he had Type 1 diabetes.

506
00:22:41,568 --> 00:22:43,986
The last night in the
hospital under their care,

507
00:22:43,987 --> 00:22:47,615
I think it was over 300
milligrams per deciliter.

508
00:22:47,616 --> 00:22:51,702
But he didn't like being
on that rollercoaster.

509
00:22:51,703 --> 00:22:54,580
That rollercoaster of
glucose gets too high,

510
00:22:54,581 --> 00:22:56,874
you need insulin, but then it
can get too low and you have

511
00:22:56,875 --> 00:22:59,460
the hypoglycemic effect.
- Correct.

512
00:22:59,461 --> 00:23:02,004
If I was living, like,
that high carb diet,

513
00:23:02,005 --> 00:23:04,215
like, I would have to
take a lot of insulin,

514
00:23:04,216 --> 00:23:06,926
it'd bring me up and then
when I started low carb

515
00:23:06,927 --> 00:23:08,386
it got perfect.

516
00:23:09,971 --> 00:23:13,265
So we buy our eggs from a local farm.

517
00:23:13,266 --> 00:23:14,975
The entire family went Keto,

518
00:23:14,976 --> 00:23:17,895
cutting out simple
carbohydrates like bread, pasta,

519
00:23:17,896 --> 00:23:19,897
cereal, and sugary sweets.

520
00:23:19,898 --> 00:23:21,982
So Johnny at 10 years old,

521
00:23:21,983 --> 00:23:25,361
hardly requiring any insulin
because he's on a Keto diet,

522
00:23:25,362 --> 00:23:28,864
his path is going to be
much clearer, much smoother,

523
00:23:28,865 --> 00:23:32,118
and much better controlled
than the alternative.

524
00:23:32,119 --> 00:23:33,494
Fewer carbs on his plate

525
00:23:33,495 --> 00:23:35,788
means less glucose in his bloodstream,

526
00:23:35,789 --> 00:23:39,375
making Johnny less reliant
on injected insulin.

527
00:23:39,376 --> 00:23:41,752
An hour and
a half after breakfast

528
00:23:41,753 --> 00:23:44,046
and he's sitting at 78,

529
00:23:44,047 --> 00:23:46,924
which is pretty healthy blood glucose

530
00:23:46,925 --> 00:23:48,343
for a child or anybody.

531
00:23:49,678 --> 00:23:53,722
So I keep our
extra insulin in this fridge.

532
00:23:53,723 --> 00:23:57,102
We get it every month
and I just put it away.

533
00:23:58,895 --> 00:24:00,521
Before the discovery of insulin,

534
00:24:00,522 --> 00:24:03,732
a diagnosis of Type 1
diabetes was a death sentence.

535
00:24:03,733 --> 00:24:05,985
Children with the disease became emaciated

536
00:24:05,986 --> 00:24:08,154
and slowly starved to death.

537
00:24:08,155 --> 00:24:10,281
When insulin was discovered in the 1920s,

538
00:24:10,282 --> 00:24:13,033
it revolutionized the treatment of Type 1,

539
00:24:13,034 --> 00:24:15,870
but dosing insulin was a new frontier

540
00:24:15,871 --> 00:24:18,372
and there were no tools
like blood glucose meters

541
00:24:18,373 --> 00:24:20,332
to monitor the results.

542
00:24:20,333 --> 00:24:23,252
In the old days,
individuals were being given

543
00:24:23,253 --> 00:24:26,505
what I call industrial doses of insulin.

544
00:24:26,506 --> 00:24:28,424
Richard Bernstein is a pioneer

545
00:24:28,425 --> 00:24:30,218
in the realm of diabetes care.

546
00:24:31,303 --> 00:24:36,015
Born in 1934, he developed
Type 1 at the age of 11.

547
00:24:36,016 --> 00:24:37,600
How old are you Dr. Bernstein?

548
00:24:37,601 --> 00:24:40,186
89.

549
00:24:40,187 --> 00:24:43,481
When I got diabetes,
my parents were told

550
00:24:43,482 --> 00:24:48,487
that my lifespan would be
30 years from the onset.

551
00:24:50,030 --> 00:24:52,615
So I'd live to be 41.

552
00:24:52,616 --> 00:24:54,284
Wow.

553
00:24:55,243 --> 00:24:57,953
Many of Bernstein's
contemporaries would die young.

554
00:24:57,954 --> 00:25:00,372
Early insulin therapy was a miracle cure,

555
00:25:00,373 --> 00:25:02,625
but young patients on high insulin doses

556
00:25:02,626 --> 00:25:05,085
developed early atherosclerosis.

557
00:25:05,086 --> 00:25:07,505
Most died from heart attacks and strokes

558
00:25:07,506 --> 00:25:10,674
within 20 or 30 years of starting therapy.

559
00:25:10,675 --> 00:25:14,386
So one of the things that's
emerged with insulin therapy

560
00:25:14,387 --> 00:25:19,183
for Type 1 diabetics is it's
connection with heart disease.

561
00:25:19,184 --> 00:25:22,269
The connection with heart
disease was very profound.

562
00:25:22,270 --> 00:25:25,064
Gary Taubes is an
investigative science journalist

563
00:25:25,065 --> 00:25:27,942
who has researched the history
and treatment of diabetes.

564
00:25:27,943 --> 00:25:32,112
By the 1960s, the research
is saying insulin itself

565
00:25:32,113 --> 00:25:37,117
in high doses is atherogenic,
it causes atherosclerosis.

566
00:25:37,118 --> 00:25:38,285
Bernstein was determined

567
00:25:38,286 --> 00:25:40,538
to avoid those complications.

568
00:25:40,539 --> 00:25:44,583
Okay, this is the
first blood sugar meter.

569
00:25:44,584 --> 00:25:47,586
It was used in emergency rooms

570
00:25:47,587 --> 00:25:50,339
to tell the drunks from
the diabetics at night

571
00:25:50,340 --> 00:25:53,050
when the labs were closed (chuckles).

572
00:25:53,051 --> 00:25:54,718
Originally
trained as an engineer,

573
00:25:54,719 --> 00:25:56,679
Bernstein hacked the bulky monitor

574
00:25:56,680 --> 00:25:59,265
so he could run it off
batteries, carry it with him,

575
00:25:59,266 --> 00:26:01,183
and continuously track his blood sugar.

576
00:26:01,184 --> 00:26:04,812
So he becomes the very
first person in the world

577
00:26:04,813 --> 00:26:07,732
to start measuring his blood sugar at home

578
00:26:09,401 --> 00:26:10,901
multiple times a day.

579
00:26:10,902 --> 00:26:13,028
I was the only one in the world

580
00:26:13,029 --> 00:26:15,990
who was checking his
blood sugar all day long.

581
00:26:15,991 --> 00:26:19,868
Literally patient number one
for blood sugar monitoring.

582
00:26:19,869 --> 00:26:21,120
And he comes up with this idea

583
00:26:21,121 --> 00:26:23,289
that he calls the Law of Small Numbers,

584
00:26:23,290 --> 00:26:26,292
which is the way physicists
and engineers think,

585
00:26:26,293 --> 00:26:30,671
that small inputs have
predictable effects.

586
00:26:30,672 --> 00:26:33,716
So if he keeps the input, the carbs small,

587
00:26:33,717 --> 00:26:36,010
he can keep the insulin doses small.

588
00:26:36,011 --> 00:26:40,264
And now he could kind of keep
everything under control.

589
00:26:40,265 --> 00:26:43,601
I finally had normal blood sugars.

590
00:26:43,602 --> 00:26:48,397
I walked into this taking
200 units of insulin,

591
00:26:48,398 --> 00:26:51,942
and today I take about 20 units,

592
00:26:51,943 --> 00:26:54,528
about a 10th of what I was taking then.

593
00:26:54,529 --> 00:26:57,072
Bernstein went
back to school in his 40s

594
00:26:57,073 --> 00:26:59,617
to become a medical doctor.

595
00:26:59,618 --> 00:27:01,368
Adding MD after his name

596
00:27:01,369 --> 00:27:03,704
would open more doors for
publishing his discoveries

597
00:27:03,705 --> 00:27:05,497
in medical journals.

598
00:27:05,498 --> 00:27:06,915
But even so...

599
00:27:06,916 --> 00:27:09,209
Letters of rejection.

600
00:27:09,210 --> 00:27:10,461
He sent it out to journals,

601
00:27:10,462 --> 00:27:13,088
got very nice rejection letters back then

602
00:27:13,089 --> 00:27:17,509
saying this is a good idea,
but you're not a typical person

603
00:27:17,510 --> 00:27:19,178
and nobody else is ever
gonna wanna monitor

604
00:27:19,179 --> 00:27:21,472
their blood sugar five times a day.

605
00:27:21,473 --> 00:27:26,478
So Bernstein's revelation that
you can control the disease

606
00:27:26,770 --> 00:27:29,355
with small doses of insulin

607
00:27:29,356 --> 00:27:32,107
and control blood sugar almost perfectly

608
00:27:32,108 --> 00:27:35,736
without carbohydrates
would be left behind.

609
00:27:35,737 --> 00:27:39,073
Wow, it just seems so
straightforward though.

610
00:27:39,074 --> 00:27:41,033
If carbohydrates are what gets converted

611
00:27:41,034 --> 00:27:43,160
to glucose in our body

612
00:27:43,161 --> 00:27:46,372
and if you've got a condition

613
00:27:46,373 --> 00:27:48,374
where you have difficulty regulating it,

614
00:27:48,375 --> 00:27:50,250
why not just have less carbohydrates?

615
00:27:50,251 --> 00:27:52,211
Well, there's something

616
00:27:52,212 --> 00:27:55,839
that's now called the cholesterol Myth.

617
00:27:55,840 --> 00:27:57,508
Okay, so remember how,

618
00:27:57,509 --> 00:27:59,510
in the early years of insulin therapy,

619
00:27:59,511 --> 00:28:02,262
people with Type 1
diabetes were dying young

620
00:28:02,263 --> 00:28:04,515
from heart attacks and strokes?

621
00:28:04,516 --> 00:28:06,558
At the time, some researchers blamed it

622
00:28:06,559 --> 00:28:08,352
on high doses of insulin,

623
00:28:08,353 --> 00:28:11,772
but other researchers blamed
it on high cholesterol.

624
00:28:11,773 --> 00:28:15,067
Dr. Bernstein calls this
the cholesterol Myth

625
00:28:15,068 --> 00:28:17,653
because he observed that reducing insulin

626
00:28:17,654 --> 00:28:21,615
reduces diabetic complications
like heart disease.

627
00:28:21,616 --> 00:28:24,034
When did you first find out that Johnny

628
00:28:24,035 --> 00:28:26,746
had something going on
with his cholesterol?

629
00:28:28,331 --> 00:28:31,417
That was at his one year labs.

630
00:28:31,418 --> 00:28:33,419
And this brings
us back to Johnny.

631
00:28:33,420 --> 00:28:36,672
Johnny's insulin is under
control and he's thriving.

632
00:28:36,673 --> 00:28:38,882
But like so many I've
met who are very lean,

633
00:28:38,883 --> 00:28:40,676
and athletic, and go low carb,

634
00:28:40,677 --> 00:28:43,721
Johnny's cholesterol
went through the roof.

635
00:28:43,722 --> 00:28:45,597
I was hysterical.

636
00:28:45,598 --> 00:28:46,807
I called my husband.

637
00:28:46,808 --> 00:28:49,601
I was just like, "Ahhh,
we're doing everything right.

638
00:28:49,602 --> 00:28:51,603
Why is this happening?"

639
00:28:51,604 --> 00:28:52,896
He's like, "Calm down.

640
00:28:52,897 --> 00:28:53,731
It's okay.

641
00:28:53,732 --> 00:28:55,399
Like, breathe."

642
00:28:55,400 --> 00:28:56,525
Timeout.

643
00:28:56,526 --> 00:28:58,986
Of course Johnny's parents
and his medical team

644
00:28:58,987 --> 00:29:00,279
are freaked out.

645
00:29:00,280 --> 00:29:02,489
His LDL cholesterol isn't just high,

646
00:29:02,490 --> 00:29:05,117
it's 640 milligrams per deciliter.

647
00:29:05,118 --> 00:29:08,620
That's well over six times
the recommended level.

648
00:29:08,621 --> 00:29:10,164
Johnny's cholesterol is on par

649
00:29:10,165 --> 00:29:12,250
with kids who have a rare genetic disease.

650
00:29:13,334 --> 00:29:17,755
It's called Familial
Hypercholesterolemia, or FH.

651
00:29:17,756 --> 00:29:19,965
FH impairs the absorption
of LDL cholesterol,

652
00:29:19,966 --> 00:29:22,634
causing a massive buildup
in the bloodstream.

653
00:29:22,635 --> 00:29:26,180
In its rarest form, FH can
cause heart attacks and death

654
00:29:26,181 --> 00:29:27,639
in young children.

655
00:29:27,640 --> 00:29:31,268
This condition is often marked
by fatty deposits on the skin

656
00:29:31,269 --> 00:29:34,480
and is considered the strongest
case for the hypothesis

657
00:29:34,481 --> 00:29:38,400
that LDL cholesterol independently
causes heart disease.

658
00:29:38,401 --> 00:29:40,527
But it's unclear how much of the risk

659
00:29:40,528 --> 00:29:43,739
is related to the genetic disease itself.

660
00:29:43,740 --> 00:29:46,658
Regardless, the association
between LDL cholesterol

661
00:29:46,659 --> 00:29:48,535
and heart disease in this condition

662
00:29:48,536 --> 00:29:53,081
is a major reason why Johnny's
medical team is so concerned.

663
00:29:53,082 --> 00:29:55,251
So now the difficult question.

664
00:29:56,127 --> 00:29:57,586
How do you know for sure

665
00:29:57,587 --> 00:30:00,214
if you're doing the
right thing for Johnny?

666
00:30:00,215 --> 00:30:02,132
I feel sometimes, just looking at him,

667
00:30:02,133 --> 00:30:05,427
he looks like so much healthier

668
00:30:05,428 --> 00:30:08,555
than any other kid his own age.

669
00:30:08,556 --> 00:30:10,265
I know that's kind of naive,

670
00:30:10,266 --> 00:30:13,268
to think that nothing
wrong is going on inside,

671
00:30:13,269 --> 00:30:16,230
but I tell you that all the
time, he just looks healthy.

672
00:30:16,231 --> 00:30:18,607
I'm hoping that maybe one day

673
00:30:18,608 --> 00:30:22,736
there'll be a doctor that can help us,

674
00:30:22,737 --> 00:30:25,656
you know, at least with what we should do,

675
00:30:25,657 --> 00:30:27,950
the proper test to get done to make sure

676
00:30:27,951 --> 00:30:30,410
that everything is okay with him.

677
00:30:35,834 --> 00:30:37,042
Here's an important point.

678
00:30:37,043 --> 00:30:39,127
Johnny doesn't have genetic FH.

679
00:30:39,128 --> 00:30:41,797
He wasn't born with these levels.

680
00:30:41,798 --> 00:30:44,842
Like me, he only started
to see high cholesterol

681
00:30:44,843 --> 00:30:48,804
when he went on a Ketogenic
diet to manage his diabetes.

682
00:30:48,805 --> 00:30:51,014
He also has minimal body fat

683
00:30:51,015 --> 00:30:53,309
and is extremely lean and athletic.

684
00:30:54,519 --> 00:30:55,686
And high LDL cholesterol

685
00:30:55,687 --> 00:30:58,063
wasn't the only thing we had in common.

686
00:30:58,064 --> 00:31:00,649
We also had high HDL cholesterol,

687
00:31:00,650 --> 00:31:03,443
often referred to as the good cholesterol.

688
00:31:03,444 --> 00:31:06,322
And low Triglycerides, a
measure of fat in the blood.

689
00:31:07,407 --> 00:31:10,075
High HDL cholesterol and low Triglycerides

690
00:31:10,076 --> 00:31:12,160
are markers of good metabolic health

691
00:31:12,161 --> 00:31:14,204
and are associated with a low risk

692
00:31:14,205 --> 00:31:16,373
of cardiovascular disease.

693
00:31:16,374 --> 00:31:20,085
I continued to see this
triad of high LDL cholesterol

694
00:31:20,086 --> 00:31:23,422
alongside high HDL cholesterol
and low Triglycerides

695
00:31:23,423 --> 00:31:27,093
in other lean, metabolically
healthy people on a Keto diet.

696
00:31:28,595 --> 00:31:32,139
Finally, in 2017, I wrote
an article in my blog

697
00:31:32,140 --> 00:31:35,893
where I named this profile
Lean Mass Hyper Responder.

698
00:31:35,894 --> 00:31:37,604
The responses were staggering.

699
00:31:38,771 --> 00:31:41,231
Hundreds of people,
then thousands of people

700
00:31:41,232 --> 00:31:43,942
from different countries
all around the world.

701
00:31:45,945 --> 00:31:49,364
Identifying this phenotype
proved a major breakthrough.

702
00:31:49,365 --> 00:31:51,867
But the big unanswered question remains.

703
00:31:51,868 --> 00:31:53,827
Will these high levels of LDL cholesterol

704
00:31:53,828 --> 00:31:56,580
cause plaque to build up in their arteries

705
00:31:56,581 --> 00:31:57,623
or is there something different

706
00:31:57,624 --> 00:31:59,417
about Lean Mass Hyper Responders?

707
00:32:00,418 --> 00:32:03,879
For that matter, is there
something more they can tell us

708
00:32:03,880 --> 00:32:06,466
about cholesterol and its
role in heart disease?

709
00:32:13,556 --> 00:32:15,599
You know, when you
see your LDL come back

710
00:32:15,600 --> 00:32:17,894
in the 300s, 400, 500s,

711
00:32:19,562 --> 00:32:22,064
and you're a medically literate person,

712
00:32:22,065 --> 00:32:23,983
the reaction always is,

713
00:32:26,152 --> 00:32:28,987
like, I can just, it's
the facial expression.

714
00:32:28,988 --> 00:32:29,905
It's the double take.

715
00:32:29,906 --> 00:32:32,824
Like, is this an error?

716
00:32:32,825 --> 00:32:34,034
What's going on here?

717
00:32:34,035 --> 00:32:35,661
This is something that you only see,

718
00:32:35,662 --> 00:32:37,204
especially levels in the 500s,

719
00:32:37,205 --> 00:32:40,415
in very rare genetic conditions.

720
00:32:40,416 --> 00:32:41,625
This is the famous building

721
00:32:41,626 --> 00:32:42,834
that there are all the pictures of-

722
00:32:42,835 --> 00:32:45,629
Nick Norwitz is a
medical student at Harvard.

723
00:32:45,630 --> 00:32:47,547
He first noticed his LDL spiking

724
00:32:47,548 --> 00:32:48,882
when he got his blood work back

725
00:32:48,883 --> 00:32:51,176
after starting a Ketogenic diet.

726
00:32:53,054 --> 00:32:55,722
Nick went Keto to treat
his ulcerative colitis,

727
00:32:55,723 --> 00:32:57,057
an inflammatory bowel disease

728
00:32:57,058 --> 00:32:59,685
that causes ulcers in the gut.

729
00:32:59,686 --> 00:33:03,188
Symptoms of ulcerative colitis
include severe abdominal pain

730
00:33:03,189 --> 00:33:04,773
and intestinal bleeding.

731
00:33:04,774 --> 00:33:05,983
Basically, I went from having

732
00:33:05,984 --> 00:33:07,651
absolutely no dietary restrictions,

733
00:33:07,652 --> 00:33:08,860
in fact I was known as the guy

734
00:33:08,861 --> 00:33:10,862
who would basically be
the garbage disposal,

735
00:33:10,863 --> 00:33:12,114
I'd eat anything,

736
00:33:12,115 --> 00:33:14,199
to really not being able
to eat much of anything

737
00:33:14,200 --> 00:33:17,494
without having negative reactions.

738
00:33:17,495 --> 00:33:21,749
I think the scariest thing
about his ulcerative colitis,

739
00:33:22,750 --> 00:33:25,085
for me at least, was
seeing him lose weight.

740
00:33:25,086 --> 00:33:27,713
I mean, he lost a
dramatic amount of weight.

741
00:33:27,714 --> 00:33:29,631
He lost about 20% of his body weight,

742
00:33:29,632 --> 00:33:32,718
and he's already, you know,
a very lean young man.

743
00:33:32,719 --> 00:33:34,177
Over the course of two years,

744
00:33:34,178 --> 00:33:36,221
Nick went from athletic and energetic

745
00:33:36,222 --> 00:33:39,850
to dangerously thin, going
in and out of the hospital.

746
00:33:39,851 --> 00:33:41,268
He was so sick and weak

747
00:33:41,269 --> 00:33:43,812
he considered dropping
out of medical school.

748
00:33:43,813 --> 00:33:45,564
At the lowest point of his illness,

749
00:33:45,565 --> 00:33:47,441
he ended up in a palliative care ward

750
00:33:47,442 --> 00:33:49,526
surrounded by dying patients.

751
00:33:49,527 --> 00:33:52,487
Yeah, it was a little bit terrifying.

752
00:33:54,615 --> 00:33:57,576
So that was the point at
which I started finagling

753
00:33:57,577 --> 00:34:00,704
with lifestyle and particularly diet.

754
00:34:00,705 --> 00:34:02,205
And you know the punch
the line to the story

755
00:34:02,206 --> 00:34:03,749
was I eventually tried Keto

756
00:34:03,750 --> 00:34:07,754
out of a large degree of
desperation and zero expectation.

757
00:34:08,796 --> 00:34:11,382
And my life changed like that.

758
00:34:13,301 --> 00:34:16,136
It was shocking to see
what a potent effect

759
00:34:16,137 --> 00:34:17,847
the Ketogenic diet had on my life.

760
00:34:18,973 --> 00:34:22,851
Within a few days, I was
feeling remarkably better.

761
00:34:22,852 --> 00:34:25,353
My energy was back.

762
00:34:25,354 --> 00:34:27,856
My symptoms all improved dramatically,

763
00:34:27,857 --> 00:34:29,107
and my inflammatory markers

764
00:34:29,108 --> 00:34:31,276
had dropped to completely normal.

765
00:34:31,277 --> 00:34:33,988
I think they dropped like
sixfold within a week.

766
00:34:34,989 --> 00:34:38,158
So, you know, that was a
light bulb moment for me.

767
00:34:38,159 --> 00:34:39,659
Even then, I was a little bit anxious,

768
00:34:39,660 --> 00:34:41,412
you know, that it wouldn't hold.

769
00:34:43,289 --> 00:34:46,500
But it's been over four
years and it's holding.

770
00:34:46,501 --> 00:34:48,126
We're gonna leave a little bit on there.

771
00:34:48,127 --> 00:34:49,294
It really has changed my life

772
00:34:49,295 --> 00:34:53,840
and I think given me the life
back that I was hoping for.

773
00:34:53,841 --> 00:34:57,969
Nick is interesting
because he got into Keto

774
00:34:57,970 --> 00:35:00,013
because it became the
one thing he could do

775
00:35:00,014 --> 00:35:02,474
to help his symptoms
with ulcerative colitis.

776
00:35:02,475 --> 00:35:07,437
And that ironically is what
would ultimately lead him to me,

777
00:35:07,438 --> 00:35:10,357
because given how lean and how fit he is,

778
00:35:10,358 --> 00:35:12,901
that meant he was likely gonna develop

779
00:35:12,902 --> 00:35:15,112
the Lean Mass Hyper Responder phenotype.

780
00:35:15,113 --> 00:35:16,238
And eventually he did.

781
00:35:16,239 --> 00:35:18,323
And on my first lipid panel,

782
00:35:18,324 --> 00:35:20,325
which was taken very shortly

783
00:35:20,326 --> 00:35:22,327
after I started a Ketogenic diet,

784
00:35:22,328 --> 00:35:25,247
my LDL jumps well over threefold.

785
00:35:25,248 --> 00:35:28,376
It had gone from around
90 to well over 300.

786
00:35:29,544 --> 00:35:32,713
Subsequent tests found that
it went up even higher.

787
00:35:33,965 --> 00:35:35,842
It's peaked at the mid-500s.

788
00:35:36,801 --> 00:35:38,760
Nick Dove into
the medical literature,

789
00:35:38,761 --> 00:35:40,095
but he found few answers

790
00:35:40,096 --> 00:35:41,471
as to why he would experience

791
00:35:41,472 --> 00:35:44,141
such a hyper-response in his cholesterol.

792
00:35:44,142 --> 00:35:46,601
So he did what any modern
medical student would do.

793
00:35:46,602 --> 00:35:48,311
He hit the internet.

794
00:35:48,312 --> 00:35:51,022
And it wasn't long
before I got into the trail

795
00:35:51,023 --> 00:35:54,234
of this quirky engineer in Nevada

796
00:35:54,235 --> 00:35:57,362
who had put up a blog
post about this phenotype

797
00:35:57,363 --> 00:36:00,198
in which people who are lean
and athletic go low carb

798
00:36:00,199 --> 00:36:02,993
and their LDL goes through the roof.

799
00:36:02,994 --> 00:36:05,203
Their HDL also goes up and
the Triglycerides drop.

800
00:36:05,204 --> 00:36:06,538
And I looked back on my lipid panel,

801
00:36:06,539 --> 00:36:09,750
I'm like, "Well, this is me."

802
00:36:10,585 --> 00:36:12,669
Isn't it just striking

803
00:36:12,670 --> 00:36:14,713
how little curiosity there really is

804
00:36:14,714 --> 00:36:17,090
for at least wanting to get under the hood

805
00:36:17,091 --> 00:36:18,758
and understand this better?

806
00:36:18,759 --> 00:36:21,053
When you have a question,

807
00:36:22,096 --> 00:36:24,639
a really authentic question,

808
00:36:24,640 --> 00:36:27,727
and you're told it's off limits,

809
00:36:29,270 --> 00:36:31,021
at least for me, it makes
you a lot more hungry

810
00:36:31,022 --> 00:36:33,732
to, like, go after that question.

811
00:36:33,733 --> 00:36:35,984
The idea that this is a scientific taboo

812
00:36:35,985 --> 00:36:38,028
but actually also a
legitimate scientific question

813
00:36:38,029 --> 00:36:39,779
is very enticing for both of us,

814
00:36:39,780 --> 00:36:41,865
combined with the fact that
it actually has the potential

815
00:36:41,866 --> 00:36:43,158
to help a lot of people.

816
00:36:43,159 --> 00:36:44,576
So Nick and I teamed up,

817
00:36:44,577 --> 00:36:47,204
along with Dr. Adrian
Soto-Mota and many others,

818
00:36:47,205 --> 00:36:49,331
and we begin publishing papers together.

819
00:36:51,459 --> 00:36:55,712
True science is human being
exercising their curiosity

820
00:36:55,713 --> 00:36:57,839
and poking things to see what happens

821
00:36:57,840 --> 00:37:00,175
and then trying to make sense of it.

822
00:37:00,176 --> 00:37:01,635
That's true science.

823
00:37:01,636 --> 00:37:03,721
When you keep poking at that question

824
00:37:04,722 --> 00:37:05,680
and there's no good answer,

825
00:37:05,681 --> 00:37:06,973
that's the question you wanna pursue.

826
00:37:06,974 --> 00:37:08,475
And if people get defensive
about that question,

827
00:37:08,476 --> 00:37:10,477
that's a question you really wanna pursue.

828
00:37:10,478 --> 00:37:12,687
We are presented with this opportunity,

829
00:37:12,688 --> 00:37:15,440
this scientific opportunity
that's never existed before,

830
00:37:15,441 --> 00:37:16,691
where we actually pulled off

831
00:37:16,692 --> 00:37:21,697
getting this one variable of
interest, LDL, all by itself.

832
00:37:24,158 --> 00:37:25,534
It's scientific manna

833
00:37:26,494 --> 00:37:28,328
that you could actually get
the variable of interest

834
00:37:28,329 --> 00:37:30,873
all by itself at super high levels

835
00:37:32,083 --> 00:37:34,251
alongside low cardiovascular risk.

836
00:37:34,252 --> 00:37:36,670
Yeah, it's a natural experiment.

837
00:37:36,671 --> 00:37:39,256
And yet there's so much controversy

838
00:37:39,257 --> 00:37:42,759
just in our pursuing research on this,

839
00:37:42,760 --> 00:37:44,886
which, to me, baffles me.

840
00:37:44,887 --> 00:37:45,763
It's crazy.

841
00:37:51,018 --> 00:37:53,812
So this is just a general example?

842
00:37:53,813 --> 00:37:58,191
Yes, this is somebody who
has severe atherosclerosis.

843
00:37:58,192 --> 00:37:59,234
Dr. Matthew Budoff

844
00:37:59,235 --> 00:38:01,236
is a cardiologist and researcher.

845
00:38:01,237 --> 00:38:03,363
He's conducted hundreds of clinical trials

846
00:38:03,364 --> 00:38:06,032
and published over 1,500
peer-reviewed papers

847
00:38:06,033 --> 00:38:07,325
on his findings.

848
00:38:07,326 --> 00:38:08,827
This is the left artery.

849
00:38:08,828 --> 00:38:12,038
Dark means that there's soft plaque.

850
00:38:12,039 --> 00:38:14,207
White means there's calcified plaque.

851
00:38:14,208 --> 00:38:15,709
You can see dark and white.

852
00:38:15,710 --> 00:38:19,337
So this person has just
a lot of atherosclerosis.

853
00:38:19,338 --> 00:38:22,299
Dr. Budoff uses high
resolution computerized x-rays

854
00:38:22,300 --> 00:38:26,261
to produce detailed 3D
images from inside the body.

855
00:38:26,262 --> 00:38:28,513
And we can take a look
at the individual arteries

856
00:38:28,514 --> 00:38:32,142
and compare it and contrast it
to the last study we just saw

857
00:38:32,143 --> 00:38:33,893
that had severe disease.

858
00:38:33,894 --> 00:38:35,353
This is the right coronary,

859
00:38:35,354 --> 00:38:40,150
nice, smooth, big pipes
and no disease seen.

860
00:38:40,151 --> 00:38:42,652
So I started working with cardiac CT

861
00:38:42,653 --> 00:38:45,113
early in my career in the early '90s.

862
00:38:45,114 --> 00:38:48,366
And my boss told me back in 1991

863
00:38:48,367 --> 00:38:50,452
this is gonna be the
mammogram of the heart,

864
00:38:50,453 --> 00:38:53,830
that we're gonna do these
scans in middle aged people,

865
00:38:53,831 --> 00:38:55,832
see who has plaque and who does not,

866
00:38:55,833 --> 00:38:57,667
who needs treatment and who does not,

867
00:38:57,668 --> 00:38:59,210
and base everything on that,

868
00:38:59,211 --> 00:39:01,463
just like we do a mammogram
for breast cancer.

869
00:39:01,464 --> 00:39:04,132
Yeah, we called it the
mammogram of the heart.

870
00:39:04,133 --> 00:39:06,134
And we knew it reflected

871
00:39:06,135 --> 00:39:08,470
the total amount of atherosclerosis.

872
00:39:08,471 --> 00:39:09,971
In the early 1990s,

873
00:39:09,972 --> 00:39:12,640
Dr. Arthur Agatston, Dr. Budoff,

874
00:39:12,641 --> 00:39:14,434
and their cardiology colleagues

875
00:39:14,435 --> 00:39:17,145
rallied around a brand new x-ray machine.

876
00:39:17,146 --> 00:39:19,814
For the first time, it
was ultra fast enough

877
00:39:19,815 --> 00:39:23,443
to take clear images of a
live, beating human heart.

878
00:39:23,444 --> 00:39:25,153
And it froze the motion of the heart.

879
00:39:25,154 --> 00:39:28,865
So for the first time, you
could actually see the heart.

880
00:39:28,866 --> 00:39:31,868
It showed that there was a
lot more coronary calcium

881
00:39:31,869 --> 00:39:35,622
in people with coronary
disease versus those without.

882
00:39:35,623 --> 00:39:37,791
But the high price
and radiation exposure

883
00:39:37,792 --> 00:39:40,627
of ultra-fast scanners made adoption slow.

884
00:39:40,628 --> 00:39:43,880
Fast forward 30 years and
both the price and exposure

885
00:39:43,881 --> 00:39:45,757
have come down dramatically.

886
00:39:45,758 --> 00:39:49,178
Yet still, coronary calcium
scans are under-utilized.

887
00:39:50,054 --> 00:39:53,431
A more advanced scan
known as a CT angiogram

888
00:39:53,432 --> 00:39:57,560
adds contrast dye injected
into the blood of the patient.

889
00:39:57,561 --> 00:39:59,938
This allows researchers like Dr. Budoff

890
00:39:59,939 --> 00:40:03,274
to see both the calcified and soft plaque

891
00:40:03,275 --> 00:40:06,569
for a more complete picture
of their heart disease risk.

892
00:40:06,570 --> 00:40:07,987
And then we can rotate around

893
00:40:07,988 --> 00:40:09,490
to the right side of the heart

894
00:40:10,408 --> 00:40:13,535
and measure the right
coronary artery through here.

895
00:40:13,536 --> 00:40:15,495
And then this is the right coronary artery

896
00:40:15,496 --> 00:40:18,039
with a moderate to severe stenosis.

897
00:40:18,040 --> 00:40:21,042
It gets narrow and then opens
back up like an hourglass.

898
00:40:21,043 --> 00:40:22,502
That's a stenosis.

899
00:40:22,503 --> 00:40:24,337
This person will probably
need to get a stent

900
00:40:24,338 --> 00:40:26,965
or bypass surgery at some point.

901
00:40:26,966 --> 00:40:28,633
CT angiography is great

902
00:40:28,634 --> 00:40:31,719
because beyond looking at
something like a marker, like LDL,

903
00:40:31,720 --> 00:40:33,847
you're actually looking
at the physical presence

904
00:40:33,848 --> 00:40:35,932
of the disease itself,

905
00:40:35,933 --> 00:40:37,934
for that matter, whether
it's there at all.

906
00:40:37,935 --> 00:40:39,310
And this gave me an idea.

907
00:40:39,311 --> 00:40:41,855
What if we recruit a hundred
Lean Mass Hyper Responders

908
00:40:41,856 --> 00:40:44,441
who rely on Keto diets for their health

909
00:40:44,442 --> 00:40:46,276
and who see extraordinary increases

910
00:40:46,277 --> 00:40:48,194
in their LDL cholesterol?

911
00:40:48,195 --> 00:40:50,071
We just scan their hearts.

912
00:40:50,072 --> 00:40:53,741
We just go ahead and
look inside to find out,

913
00:40:53,742 --> 00:40:56,077
do they have plaque in their arteries?

914
00:40:56,078 --> 00:40:58,955
Honestly, I mean, as just a reflex,

915
00:40:58,956 --> 00:41:00,665
as a preventive cardiologist,

916
00:41:00,666 --> 00:41:05,671
somebody walks into my office
with an LDL of 250 or 300,

917
00:41:05,963 --> 00:41:08,923
I'm looking for the prescription pad.

918
00:41:08,924 --> 00:41:12,760
So why not just study
them, look inside and see?

919
00:41:12,761 --> 00:41:14,137
The plan is simple.

920
00:41:14,138 --> 00:41:17,265
We scan everybody at the
beginning of the study.

921
00:41:17,266 --> 00:41:19,560
And then a year later,
we do a follow-up scan.

922
00:41:20,686 --> 00:41:23,605
Then we can do a
comparison between the two.

923
00:41:23,606 --> 00:41:25,064
There's only one catch.

924
00:41:25,065 --> 00:41:27,192
There's no money without industry

925
00:41:27,193 --> 00:41:29,861
and there's not an industry
for Ketogenic diet.

926
00:41:29,862 --> 00:41:33,198
We don't have big pharma
here to fund the trial.

927
00:41:33,199 --> 00:41:36,451
So I decided to try something different.

928
00:41:36,452 --> 00:41:41,457
I had officially announced the
Citizen Science Foundation.

929
00:41:42,041 --> 00:41:44,709
And I was a little scared, honestly.

930
00:41:44,710 --> 00:41:47,378
I didn't know how much money
we would get or wouldn't get.

931
00:41:47,379 --> 00:41:49,506
Yeah, so for me, this was a first.

932
00:41:49,507 --> 00:41:51,925
I haven't worked with
other crowdfunding studies.

933
00:41:51,926 --> 00:41:55,595
But I knew I needed at least $50,000.

934
00:41:55,596 --> 00:41:59,390
Yes, if you could
donate, any amount helps.

935
00:42:03,187 --> 00:42:07,232
As that study announcement was made,

936
00:42:07,233 --> 00:42:10,527
I was heartened to see that
tens of thousands of dollars

937
00:42:10,528 --> 00:42:11,945
were coming in.

938
00:42:16,033 --> 00:42:16,866
I went ahead and said,

939
00:42:16,867 --> 00:42:20,078
"Look, but what I really want is 200,000."

940
00:42:20,079 --> 00:42:23,581
At $200,000, that would give me $2,000

941
00:42:23,582 --> 00:42:24,999
per Lean Mass Hyper Responder,

942
00:42:25,000 --> 00:42:27,043
which is what I figured I would need

943
00:42:27,044 --> 00:42:29,337
for the study idea I had in mind.

944
00:42:29,338 --> 00:42:30,171
Hi, guys.

945
00:42:30,172 --> 00:42:34,717
I am humbled, to say the
least, to share this news,

946
00:42:34,718 --> 00:42:36,219
that once our contributor pool

947
00:42:36,220 --> 00:42:38,805
reaches a hundred thousand dollars,

948
00:42:38,806 --> 00:42:40,807
there's an anonymous
donor that has made clear

949
00:42:40,808 --> 00:42:43,685
that they will be matching
it dollar for dollar.

950
00:42:43,686 --> 00:42:48,691
They will be contributing a
hundred thousand dollar match.

951
00:42:54,405 --> 00:42:55,238
We did it.

952
00:42:55,239 --> 00:42:59,492
We managed to crowdfund a clinical study.

953
00:42:59,493 --> 00:43:03,162
And that just doesn't happen these days.

954
00:43:03,163 --> 00:43:05,623
That's just not something you see.

955
00:43:05,624 --> 00:43:07,208
And thank goodness

956
00:43:07,209 --> 00:43:09,168
because now we're really getting the data.

957
00:43:09,169 --> 00:43:11,379
We're just making it happen ourselves.

958
00:43:11,380 --> 00:43:13,047
And who better to lead the study

959
00:43:13,048 --> 00:43:16,426
than one of the pioneers in
high resolution heart imaging,

960
00:43:16,427 --> 00:43:18,553
Dr. Matthew Budoff himself.

961
00:43:18,554 --> 00:43:19,971
I think this is remarkable.

962
00:43:19,972 --> 00:43:21,472
I think it's a wonderful model.

963
00:43:21,473 --> 00:43:23,766
I think you can answer a
lot of great questions.

964
00:43:23,767 --> 00:43:25,977
And I think crowdfunding
has done wonderful things

965
00:43:25,978 --> 00:43:26,978
outside of science.

966
00:43:26,979 --> 00:43:29,105
I'm not aware of too many models of it

967
00:43:29,106 --> 00:43:31,232
funding scientific studies,

968
00:43:31,233 --> 00:43:33,776
but we now need crowdfunding

969
00:43:33,777 --> 00:43:36,988
to answer some of these
clinical questions about diet.

970
00:43:38,657 --> 00:43:40,575
So it's happening.

971
00:43:40,576 --> 00:43:44,245
The fully funded Lean Mass
Hyper Responder Study is a go.

972
00:43:44,246 --> 00:43:46,873
All 100 participants
will be evaluated here,

973
00:43:46,874 --> 00:43:49,626
at the Lundquist Institute's
Cardiac Wellness Center

974
00:43:49,627 --> 00:43:51,669
in Southern California.

975
00:43:51,670 --> 00:43:54,130
Frank Caputo traveled
all the way from New York

976
00:43:54,131 --> 00:43:55,173
to participate.

977
00:43:55,174 --> 00:43:56,174
I enrolled for it.

978
00:43:56,175 --> 00:43:57,258
They picked me for it.

979
00:43:57,259 --> 00:43:58,343
How are you today?

980
00:43:58,344 --> 00:43:59,260
Good, how are you?

981
00:43:59,261 --> 00:44:00,428
I'm good.

982
00:44:00,429 --> 00:44:01,262
Scan day.

983
00:44:01,263 --> 00:44:05,099
And I'm hoping that this changes
the science going forward.

984
00:44:05,100 --> 00:44:07,685
Back Home, Frank
works as a landscaper.

985
00:44:07,686 --> 00:44:10,188
He started Keto five years ago.

986
00:44:10,189 --> 00:44:12,398
I do work a very physical job,

987
00:44:12,399 --> 00:44:15,151
have a lot of inflammation
throughout my days.

988
00:44:15,152 --> 00:44:16,402
I needed a change,

989
00:44:16,403 --> 00:44:19,405
so I challenged myself
to try this diet out.

990
00:44:19,406 --> 00:44:21,366
Immediately, I started feeling better.

991
00:44:21,367 --> 00:44:22,659
Frank qualified for the study

992
00:44:22,660 --> 00:44:26,954
because after he started Keto,
his LDL cholesterol spiked.

993
00:44:26,955 --> 00:44:30,625
LDL was last we
checked, it was about 238.

994
00:44:30,626 --> 00:44:34,630
Prior to being on the
diet, it was at about 73.

995
00:44:35,589 --> 00:44:39,801
So it is what they
consider a hyper response

996
00:44:39,802 --> 00:44:41,969
to the diet, the LDL.

997
00:44:41,970 --> 00:44:44,180
Frank's other
blood work all looks good.

998
00:44:44,181 --> 00:44:46,265
His blood glucose and
Triglycerides are low

999
00:44:46,266 --> 00:44:49,394
and his HDL is high,
which are all indicators

1000
00:44:49,395 --> 00:44:50,896
of excellent metabolic health.

1001
00:44:52,189 --> 00:44:53,606
As a participant in the study,

1002
00:44:53,607 --> 00:44:56,734
Frank must test his ketone levels daily.

1003
00:44:56,735 --> 00:44:59,737
This number is proof that
Frank is keeping his carbs low

1004
00:44:59,738 --> 00:45:01,155
and maintaining his Keto diet.

1005
00:45:01,156 --> 00:45:03,825
And this is the extent
of the fat burning mode

1006
00:45:03,826 --> 00:45:05,076
that I'm in right now.

1007
00:45:05,077 --> 00:45:06,160
Along with blood work,

1008
00:45:06,161 --> 00:45:08,538
Frank will undergo two CT angiograms,

1009
00:45:08,539 --> 00:45:09,831
one at the beginning of the study

1010
00:45:09,832 --> 00:45:12,041
and another one year later.

1011
00:45:12,042 --> 00:45:14,961
The images taken here could
change our entire understanding

1012
00:45:14,962 --> 00:45:18,756
of Ketogenic diets,
cholesterol, and heart health.

1013
00:45:18,757 --> 00:45:21,551
I'm hoping this
changes the medical protocol,

1014
00:45:21,552 --> 00:45:24,637
where instead of them
immediately putting you

1015
00:45:24,638 --> 00:45:27,265
on a statin for the rest of your life

1016
00:45:27,266 --> 00:45:29,350
because they see a high LDL,

1017
00:45:29,351 --> 00:45:31,269
they're sending you for a heart scan

1018
00:45:31,270 --> 00:45:33,062
and they're seeing if there's any calcium

1019
00:45:33,063 --> 00:45:35,356
that's built up in your arteries.

1020
00:45:35,357 --> 00:45:38,234
Very soon, Frank and 99 others

1021
00:45:38,235 --> 00:45:40,153
will help us find some answers.

1022
00:45:49,329 --> 00:45:53,791
To understand how LDL cholesterol
can jump so high so fast,

1023
00:45:53,792 --> 00:45:56,586
you need to understand what
happens inside the body

1024
00:45:56,587 --> 00:45:58,838
when you restrict carbohydrates.

1025
00:45:58,839 --> 00:46:00,506
The human body has what you might call

1026
00:46:00,507 --> 00:46:02,300
a hybrid energy system.

1027
00:46:02,301 --> 00:46:05,428
We can use glucose for fuel,
which comes from sugar,

1028
00:46:05,429 --> 00:46:07,513
starches, and simple carbohydrates,

1029
00:46:07,514 --> 00:46:10,475
and our bodies can run on fat.

1030
00:46:10,476 --> 00:46:12,643
When your primary fuel is fat,

1031
00:46:12,644 --> 00:46:16,190
you enter a unique metabolic
state called Ketosis.

1032
00:46:17,191 --> 00:46:19,984
A variety of eating
patterns can induce Ketosis,

1033
00:46:19,985 --> 00:46:23,446
including carnivore, omnivore, vegetarian,

1034
00:46:23,447 --> 00:46:25,990
and there's even plant-based Keto.

1035
00:46:25,991 --> 00:46:28,994
The key to Keto is
restricting carbohydrates.

1036
00:46:30,037 --> 00:46:33,122
Carbohydrate restriction drops
glucose stores in the liver

1037
00:46:33,123 --> 00:46:37,627
and shifts energy demand over
to using more fat for fuel.

1038
00:46:37,628 --> 00:46:39,462
So if we're eating high carbs,

1039
00:46:39,463 --> 00:46:41,547
we're using glucose for energy.

1040
00:46:41,548 --> 00:46:43,925
If we're eating low
carb, we're in Ketosis,

1041
00:46:43,926 --> 00:46:45,426
all of a sudden our body switches

1042
00:46:45,427 --> 00:46:47,428
and we're burning predominantly fat

1043
00:46:47,429 --> 00:46:50,181
or fatty acids to create energy.

1044
00:46:50,182 --> 00:46:53,267
But here's the thing,
and this explains a lot,

1045
00:46:53,268 --> 00:46:56,646
glucose is soluble, like this table sugar.

1046
00:46:56,647 --> 00:46:58,356
It mixes easily in the blood

1047
00:46:58,357 --> 00:47:00,734
because the blood is water-based.

1048
00:47:02,528 --> 00:47:04,320
But shipping fat around in the bloodstream

1049
00:47:04,321 --> 00:47:06,697
is an extremely difficult
problem to solve.

1050
00:47:06,698 --> 00:47:07,907
Why?

1051
00:47:07,908 --> 00:47:10,243
Well, you know how oil
and water don't mix.

1052
00:47:10,244 --> 00:47:13,163
It's the exact same thing
with fat in the blood.

1053
00:47:14,122 --> 00:47:18,251
Like this oil, fat will clump together.

1054
00:47:18,252 --> 00:47:20,711
It doesn't mix well with the blood.

1055
00:47:20,712 --> 00:47:23,173
So how does the body solve this challenge?

1056
00:47:24,007 --> 00:47:26,425
Well, the body makes
these little containers

1057
00:47:26,426 --> 00:47:28,845
to ship lipids through the bloodstream.

1058
00:47:28,846 --> 00:47:30,638
They're a bit like submarines.

1059
00:47:30,639 --> 00:47:33,099
And the lipids are effectively the cargo

1060
00:47:33,100 --> 00:47:34,809
that rides inside.

1061
00:47:34,810 --> 00:47:38,646
Altogether, they're a complex
of lipids and proteins,

1062
00:47:38,647 --> 00:47:41,357
appropriately called lipoproteins.

1063
00:47:41,358 --> 00:47:43,276
Never heard of a lipoprotein?

1064
00:47:43,277 --> 00:47:45,319
Well, actually, you probably have.

1065
00:47:45,320 --> 00:47:48,447
The most legendary is called LDL,

1066
00:47:48,448 --> 00:47:50,993
short for Low Density Lipoprotein.

1067
00:47:52,452 --> 00:47:54,996
And here's where we see the
connection to cholesterol,

1068
00:47:54,997 --> 00:47:57,039
because the fat we burn for energy

1069
00:47:57,040 --> 00:48:01,752
is just one kind of lipid that
rides inside lipoproteins.

1070
00:48:01,753 --> 00:48:04,213
There are other lipids
that catch a ride as well,

1071
00:48:04,214 --> 00:48:08,050
such as fat soluble
vitamins, A, D, E, and K.

1072
00:48:08,051 --> 00:48:11,095
And yes, the most famous
lipid that ride-shares

1073
00:48:11,096 --> 00:48:15,391
with fat around the body is,
you guessed it, cholesterol.

1074
00:48:15,392 --> 00:48:17,935
And that brings us back to the Keto diet.

1075
00:48:17,936 --> 00:48:20,688
When we're fueled more
by fat than glucose,

1076
00:48:20,689 --> 00:48:23,566
it makes a lot of sense
why we would need to ship

1077
00:48:23,567 --> 00:48:25,484
more of this fat around in the blood

1078
00:48:25,485 --> 00:48:27,737
inside these lipoproteins.

1079
00:48:27,738 --> 00:48:30,156
More lipoproteins circulating in the blood

1080
00:48:30,157 --> 00:48:33,576
means more cholesterol
in circulation as well.

1081
00:48:33,577 --> 00:48:37,538
To be sure, this is a high-level
simplified explanation,

1082
00:48:37,539 --> 00:48:39,040
but it's the basic premise

1083
00:48:39,041 --> 00:48:41,292
for what we call the Lipid Energy Model,

1084
00:48:41,293 --> 00:48:44,211
and it's the phenomenon we
believe we're seeing often

1085
00:48:44,212 --> 00:48:46,423
in lean people on a very low carb diet.

1086
00:48:47,341 --> 00:48:51,469
Okay, but are there any
studies supporting this?

1087
00:48:52,679 --> 00:48:53,804
Randomized controlled trials

1088
00:48:53,805 --> 00:48:56,599
are considered the gold
standard in research.

1089
00:48:56,600 --> 00:48:58,684
In a broad analysis of 41 RCTs

1090
00:48:58,685 --> 00:49:01,729
that included people on
low carb and Keto diets,

1091
00:49:01,730 --> 00:49:05,274
we see, indeed, the
leanness of participants

1092
00:49:05,275 --> 00:49:07,610
prove strongly predictive of the change

1093
00:49:07,611 --> 00:49:09,612
in their LDL cholesterol.

1094
00:49:09,613 --> 00:49:12,698
The leaner they were, the
more likely and higher

1095
00:49:12,699 --> 00:49:15,284
their LDL cholesterol would go.

1096
00:49:15,285 --> 00:49:18,704
Conversely, those with higher
body mass were more likely

1097
00:49:18,705 --> 00:49:21,082
to see their LDL stay the same

1098
00:49:21,083 --> 00:49:23,752
or even decrease on a low carb diet.

1099
00:49:26,546 --> 00:49:29,048
This could explain why most people on Keto

1100
00:49:29,049 --> 00:49:31,801
do not see an increase in LDL cholesterol,

1101
00:49:31,802 --> 00:49:35,137
because most people adopt
the diet to lose weight.

1102
00:49:35,138 --> 00:49:38,099
So they start out at a higher body mass.

1103
00:49:38,100 --> 00:49:41,185
But in recent years, we are
recognizing the power of Keto

1104
00:49:41,186 --> 00:49:43,479
for treating all kinds
of medical conditions,

1105
00:49:43,480 --> 00:49:45,231
including mental health.

1106
00:49:45,232 --> 00:49:47,566
For these reasons, we're seeing more lean

1107
00:49:47,567 --> 00:49:49,902
and normal weight people
switching over to Keto.

1108
00:49:49,903 --> 00:49:52,238
And it's when lean people

1109
00:49:52,239 --> 00:49:54,907
go on these very low carbohydrate diets

1110
00:49:54,908 --> 00:49:58,120
that we can see their
cholesterol levels rise, a lot.

1111
00:50:06,712 --> 00:50:07,753
Hello.

1112
00:50:07,754 --> 00:50:09,463
Hi, Robyn, (laughs) how are you?

1113
00:50:09,464 --> 00:50:10,631
I'm very well, thanks.

1114
00:50:10,632 --> 00:50:11,507
How are you?

1115
00:50:11,508 --> 00:50:12,341
Good, good.

1116
00:50:12,342 --> 00:50:15,386
Robyn is a mom, a wife,
and a woman who's suffered

1117
00:50:15,387 --> 00:50:18,806
from the debilitating
depression of Bipolar disorder.

1118
00:50:18,807 --> 00:50:21,642
I was basically comatose all day long.

1119
00:50:21,643 --> 00:50:23,477
I set an alarm in the morning to wake up

1120
00:50:23,478 --> 00:50:26,647
and take the kids to school,
go home, go back to bed,

1121
00:50:26,648 --> 00:50:30,026
set an alarm to remember
to wake up to get them.

1122
00:50:30,027 --> 00:50:32,403
Bipolar disorder
is a mental health condition

1123
00:50:32,404 --> 00:50:34,488
characterized by severe mood swings

1124
00:50:34,489 --> 00:50:37,950
that include manic highs
followed by depressive lows.

1125
00:50:37,951 --> 00:50:39,452
Everything was just gray.

1126
00:50:39,453 --> 00:50:42,038
There was no joy in life.

1127
00:50:42,039 --> 00:50:44,915
And I'm doing all of this during a time

1128
00:50:44,916 --> 00:50:46,333
were my children are little.

1129
00:50:46,334 --> 00:50:49,128
Like, I should be sitting
on the floor with them

1130
00:50:49,129 --> 00:50:52,214
and playing with whatever
toys they're playing with.

1131
00:50:52,215 --> 00:50:55,509
But instead, I'm just
kind of perched on a couch

1132
00:50:55,510 --> 00:50:56,927
and just watching.

1133
00:50:56,928 --> 00:50:59,680
Like, I can see life is happening,

1134
00:50:59,681 --> 00:51:02,892
but I'm not participating in that life.

1135
00:51:02,893 --> 00:51:06,020
It would become a decade-long struggle.

1136
00:51:06,021 --> 00:51:08,064
Robyn cycled through numerous doctors

1137
00:51:08,065 --> 00:51:09,523
and various medications,

1138
00:51:09,524 --> 00:51:12,568
drugs that sedated her
and caused weight gain,

1139
00:51:12,569 --> 00:51:14,695
making it difficult to do daily tasks

1140
00:51:14,696 --> 00:51:16,655
and help raise a family.

1141
00:51:16,656 --> 00:51:19,451
What are some of your
earliest memories of your mom?

1142
00:51:20,702 --> 00:51:24,998
To be honest, I don't
have a lot of them.

1143
00:51:26,208 --> 00:51:28,292
I think I would ask her to play with me

1144
00:51:28,293 --> 00:51:32,005
and she would just sit in her
bed and she wouldn't get up.

1145
00:51:33,590 --> 00:51:37,301
There was a lot of, for
them, tears, a lot of crying,

1146
00:51:37,302 --> 00:51:39,678
a lot of uncertainty.

1147
00:51:39,679 --> 00:51:44,684
But for me, a lot of, I
don't know how to stop this.

1148
00:51:44,768 --> 00:51:46,143
And it was miserable.

1149
00:51:46,144 --> 00:51:47,729
It was absolutely heartbreaking.

1150
00:51:48,730 --> 00:51:50,898
Nearly a billion
people on the planet

1151
00:51:50,899 --> 00:51:53,609
now have a psychiatric
condition serious enough

1152
00:51:53,610 --> 00:51:56,237
that it interferes with their daily life.

1153
00:51:56,238 --> 00:51:58,864
This startling increase
in mental health disorders

1154
00:51:58,865 --> 00:52:02,284
coincides with the rapid decline
in the quality of our diet.

1155
00:52:02,285 --> 00:52:03,786
For the past 75 years,

1156
00:52:03,787 --> 00:52:05,663
we've thought of mental health conditions

1157
00:52:05,664 --> 00:52:07,665
as chemical imbalances in the brain

1158
00:52:07,666 --> 00:52:09,501
to be treated with medications.

1159
00:52:10,544 --> 00:52:13,546
But the field of psychiatry is
experiencing a transformation

1160
00:52:13,547 --> 00:52:15,548
in how it views these conditions,

1161
00:52:15,549 --> 00:52:18,092
recognizing that most mental disorders

1162
00:52:18,093 --> 00:52:22,471
may in fact be metabolic
disorders affecting the brain.

1163
00:52:22,472 --> 00:52:23,973
There is a very strong connection

1164
00:52:23,974 --> 00:52:25,224
between metabolic and mental health,

1165
00:52:25,225 --> 00:52:26,976
just as there is a very strong connection

1166
00:52:26,977 --> 00:52:27,977
between metabolic health

1167
00:52:27,978 --> 00:52:31,272
and just about every
aspect of health.

1168
00:52:31,273 --> 00:52:32,356
Dr. Georgia Ede

1169
00:52:32,357 --> 00:52:34,150
and a growing group of psychiatrists

1170
00:52:34,151 --> 00:52:36,610
say that Ketogenic Metabolic Therapy,

1171
00:52:36,611 --> 00:52:39,238
which is structured around a Keto diet,

1172
00:52:39,239 --> 00:52:41,240
offers promising new hope.

1173
00:52:41,241 --> 00:52:44,660
And for some people,
it can be life-changing.

1174
00:52:44,661 --> 00:52:47,121
Dr. Chris Palmer,
a Harvard psychiatrist,

1175
00:52:47,122 --> 00:52:49,415
says the Ketogenic diet can work

1176
00:52:49,416 --> 00:52:51,250
even when medications fail.

1177
00:52:51,251 --> 00:52:53,085
It doesn't work for everyone.

1178
00:52:53,086 --> 00:52:56,213
But I think the thing that
has been really disruptive

1179
00:52:56,214 --> 00:52:58,424
to the field and quite exciting

1180
00:52:58,425 --> 00:52:59,466
is that the Ketogenic diet

1181
00:52:59,467 --> 00:53:03,345
can sometimes have dramatic benefits

1182
00:53:03,346 --> 00:53:06,974
for people with Bipolar
disorder, schizophrenia.

1183
00:53:06,975 --> 00:53:09,643
There's still some debate
on exactly how Keto diet

1184
00:53:09,644 --> 00:53:11,520
improves brain function,

1185
00:53:11,521 --> 00:53:13,689
but one prominent theory
points to the change

1186
00:53:13,690 --> 00:53:15,108
in fuel sources.

1187
00:53:16,026 --> 00:53:18,819
High consumption of sugar
and refined carbohydrates

1188
00:53:18,820 --> 00:53:21,071
can flood the body with so much glucose

1189
00:53:21,072 --> 00:53:23,532
that it causes an energy overload,

1190
00:53:23,533 --> 00:53:26,035
making cells malfunction
throughout the body

1191
00:53:26,036 --> 00:53:28,538
and causing cells in the
brain to malfunction too.

1192
00:53:30,040 --> 00:53:31,582
A Keto diet switches the body

1193
00:53:31,583 --> 00:53:33,792
over to burning mostly fat for fuel.

1194
00:53:33,793 --> 00:53:37,296
A portion of this fat
is converted to ketones.

1195
00:53:37,297 --> 00:53:40,507
Even in the midst of a
glucose-induced energy crisis,

1196
00:53:40,508 --> 00:53:42,968
ketones can fuel the brain.

1197
00:53:42,969 --> 00:53:45,429
I think that may be
responsible for this phenomenon

1198
00:53:45,430 --> 00:53:48,974
that we often see in patients
who begin a Ketogenic diet.

1199
00:53:48,975 --> 00:53:51,268
Sometimes in as little as three days,

1200
00:53:51,269 --> 00:53:53,646
people will say things like,

1201
00:53:53,647 --> 00:53:55,481
"I feel like my brain,

1202
00:53:55,482 --> 00:53:57,609
you know, the lights just switched on."

1203
00:53:59,236 --> 00:54:00,277
A revelation.

1204
00:54:00,278 --> 00:54:01,445
I just felt amazing.

1205
00:54:01,446 --> 00:54:03,322
My energy is through the roof.

1206
00:54:03,323 --> 00:54:05,157
I'd never felt like that before.

1207
00:54:05,158 --> 00:54:07,869
Everything was in color
and sounded amazing.

1208
00:54:08,745 --> 00:54:09,954
You get the picture.

1209
00:54:09,955 --> 00:54:10,829
And get this.

1210
00:54:10,830 --> 00:54:13,457
In 2022, scientists in France

1211
00:54:13,458 --> 00:54:16,043
used a Ketogenic diet with 28 patients

1212
00:54:16,044 --> 00:54:19,213
who had been hospitalized
for severe Bipolar disorder,

1213
00:54:19,214 --> 00:54:22,091
major depression, or schizophrenia.

1214
00:54:22,092 --> 00:54:25,010
In less than a year, nearly
half of the participants

1215
00:54:25,011 --> 00:54:27,554
achieved full clinical remission.

1216
00:54:27,555 --> 00:54:29,682
That means they no
longer meet the criteria

1217
00:54:29,683 --> 00:54:31,267
for mental illness.

1218
00:54:31,268 --> 00:54:35,646
And that is so exciting and powerful

1219
00:54:35,647 --> 00:54:38,607
because our existing treatments right now

1220
00:54:38,608 --> 00:54:41,277
usually don't restore people's health.

1221
00:54:41,278 --> 00:54:44,405
You know, doctors who've
been treating Bipolar disorder,

1222
00:54:44,406 --> 00:54:48,659
schizophrenia, major depression
for years and decades

1223
00:54:48,660 --> 00:54:50,619
have said they never thought

1224
00:54:50,620 --> 00:54:54,498
they would see complete
remission with nutrition alone.

1225
00:54:54,499 --> 00:54:55,624
In addition to his work

1226
00:54:55,625 --> 00:54:57,710
as a cardiologist and lipidologist,

1227
00:54:57,711 --> 00:55:01,171
Dr. Bret Scher is the medical
director at Metabolic Mind,

1228
00:55:01,172 --> 00:55:04,508
a nonprofit organization that
promotes metabolic therapies

1229
00:55:04,509 --> 00:55:06,010
to improve mental health.

1230
00:55:06,011 --> 00:55:08,887
But what I've seen in
the past year and a half

1231
00:55:08,888 --> 00:55:11,098
by being the director of Metabolic Mind

1232
00:55:11,099 --> 00:55:12,975
is stories left and right

1233
00:55:12,976 --> 00:55:15,853
of people completely putting
their Bipolar disorder

1234
00:55:15,854 --> 00:55:18,147
into remission with a Ketogenic lifestyle.

1235
00:55:18,148 --> 00:55:21,358
And that's remarkable, the way
it has changed their lives,

1236
00:55:21,359 --> 00:55:24,028
the way it's changed their family's lives.

1237
00:55:24,029 --> 00:55:27,197
It's almost like a different existence.

1238
00:55:27,198 --> 00:55:29,033
I don't even know how to describe it.

1239
00:55:29,034 --> 00:55:30,409
After a five-year struggle

1240
00:55:30,410 --> 00:55:32,494
with treatment-resistant Bipolar disorder

1241
00:55:32,495 --> 00:55:33,787
that left him homeless

1242
00:55:33,788 --> 00:55:36,248
and wandering the streets of Los Angeles,

1243
00:55:36,249 --> 00:55:40,044
out of desperation, Matt
Baszucki tried Ketogenic therapy.

1244
00:55:40,045 --> 00:55:42,713
He says it healed his brain.

1245
00:55:42,714 --> 00:55:44,256
Not only did my mood stabilize,

1246
00:55:44,257 --> 00:55:46,008
but everything just fell into place.

1247
00:55:46,009 --> 00:55:49,803
So I could play chess again,
I could work full-time.

1248
00:55:49,804 --> 00:55:53,515
I was exercising, and
I was lifting weights,

1249
00:55:53,516 --> 00:55:54,558
and I had energy.

1250
00:55:54,559 --> 00:55:57,144
And everything seemed to fall into place

1251
00:55:57,145 --> 00:55:58,062
when I went on Keto.

1252
00:55:58,063 --> 00:56:02,066
And people have no
idea that what they eat

1253
00:56:02,067 --> 00:56:04,777
can cause mental illness.

1254
00:56:04,778 --> 00:56:07,571
Eric Rogers suffered
from severe depression

1255
00:56:07,572 --> 00:56:08,614
and thoughts of suicide.

1256
00:56:08,615 --> 00:56:12,368
He adopted a Keto diet to
address his pre-diabetes.

1257
00:56:12,369 --> 00:56:14,203
Not only did his metabolic health improve,

1258
00:56:14,204 --> 00:56:16,580
his depression faded away.

1259
00:56:16,581 --> 00:56:18,874
I felt it initially fairly quickly,

1260
00:56:18,875 --> 00:56:22,586
but it's just been a
continual gradual improvement

1261
00:56:22,587 --> 00:56:27,592
to where, yeah, the last seven
years, no mood issues at all.

1262
00:56:28,676 --> 00:56:30,928
Like, kind of blown away

1263
00:56:30,929 --> 00:56:35,058
that I just don't really
experience symptoms anymore.

1264
00:56:36,059 --> 00:56:36,892
Lauren Kennedy

1265
00:56:36,893 --> 00:56:38,894
struggled with Schizo Affective Disorder

1266
00:56:38,895 --> 00:56:40,104
for more than a decade.

1267
00:56:40,105 --> 00:56:41,980
It's a serious mental health condition

1268
00:56:41,981 --> 00:56:44,858
that combines the
psychosis of schizophrenia

1269
00:56:44,859 --> 00:56:47,486
with the mood disorders of Bipolar.

1270
00:56:47,487 --> 00:56:48,779
But earlier this year,

1271
00:56:48,780 --> 00:56:51,073
she began working with her psychiatrist

1272
00:56:51,074 --> 00:56:52,992
to implement Ketogenic therapy.

1273
00:56:53,827 --> 00:56:55,744
I have been using
medical Ketogenic therapy

1274
00:56:55,745 --> 00:56:57,579
to treat my Schizo Affective Disorder

1275
00:56:57,580 --> 00:56:58,956
over the last five months,

1276
00:56:58,957 --> 00:57:01,458
and honestly I'm kind of blown away

1277
00:57:01,459 --> 00:57:04,837
by how effective it has been
in eradicating my symptoms.

1278
00:57:04,838 --> 00:57:06,672
I have thoroughly documented this process

1279
00:57:06,673 --> 00:57:09,007
on my YouTube channel, Living
Well With Schizophrenia,

1280
00:57:09,008 --> 00:57:11,468
if you want to learn
more about my experience.

1281
00:57:11,469 --> 00:57:14,263
I think I already feel
fine on 10 milligrams,

1282
00:57:14,264 --> 00:57:18,642
so kind of planning to
try going completely off.

1283
00:57:18,643 --> 00:57:20,018
People who have schizophrenia

1284
00:57:20,019 --> 00:57:22,813
usually have lifelong disorders.

1285
00:57:22,814 --> 00:57:24,815
They have lifelong suffering.

1286
00:57:24,816 --> 00:57:28,777
Any treatment that can reduce symptoms

1287
00:57:28,778 --> 00:57:33,783
or even put symptoms into
remission is a godsend.

1288
00:57:34,951 --> 00:57:37,870
You may have noticed the name
of our channel has changed.

1289
00:57:37,871 --> 00:57:40,205
It's gone from Living
Well With Schizophrenia

1290
00:57:40,206 --> 00:57:43,251
to now Living Well After Schizophrenia.

1291
00:57:44,794 --> 00:57:49,799
I don't struggle with my symptoms
of schizophrenia anymore.

1292
00:57:51,092 --> 00:57:55,429
And so I hope that setting an
example that it is possible

1293
00:57:55,430 --> 00:57:59,183
can be seen as a new
kind of beacon of hope

1294
00:57:59,184 --> 00:58:01,226
for people who may be experiencing

1295
00:58:01,227 --> 00:58:03,188
similar challenges or illnesses.

1296
00:58:05,857 --> 00:58:07,900
Let's go with red.

1297
00:58:07,901 --> 00:58:09,985
This is where it gets interesting.

1298
00:58:09,986 --> 00:58:14,156
Because I had no indication, no idea,

1299
00:58:14,157 --> 00:58:18,076
no information at the time to let me know

1300
00:58:18,077 --> 00:58:21,371
that mental health could be affected

1301
00:58:21,372 --> 00:58:24,500
in any way, shape, or form by diet.

1302
00:58:24,501 --> 00:58:26,628
Ironically, it was the desire

1303
00:58:27,837 --> 00:58:30,797
to lower her cholesterol that
led Robyn to try Keto diet.

1304
00:58:30,798 --> 00:58:34,301
Within six months,
Robyn dropped 50 pounds.

1305
00:58:34,302 --> 00:58:37,763
At first, her cholesterol
levels trended downward.

1306
00:58:37,764 --> 00:58:40,557
And something remarkable
happened to her mood.

1307
00:58:40,558 --> 00:58:42,392
I said to Matt,

1308
00:58:42,393 --> 00:58:45,479
"I think my mental health
is getting better."

1309
00:58:45,480 --> 00:58:47,356
There was a joy in her

1310
00:58:47,357 --> 00:58:51,236
that I hadn't seen in
a very, very long time.

1311
00:58:53,363 --> 00:58:54,531
I felt excitement.

1312
00:58:55,365 --> 00:58:59,952
And I just said, "You
know what, I need to see

1313
00:58:59,953 --> 00:59:04,831
if I can live my life
without this medication."

1314
00:59:04,832 --> 00:59:07,584
We went to the doctor and we
told him what was going on.

1315
00:59:07,585 --> 00:59:10,170
And she agreed and said,

1316
00:59:10,171 --> 00:59:13,173
"Yes, let's titrate you
off your medications."

1317
00:59:13,174 --> 00:59:15,968
So that's exactly what we did.

1318
00:59:15,969 --> 00:59:16,802
And I have not been

1319
00:59:16,803 --> 00:59:19,930
on any mental health
medications ever since.

1320
00:59:19,931 --> 00:59:21,682
Wow.

1321
00:59:21,683 --> 00:59:23,725
Robyn achieved full remission.

1322
00:59:23,726 --> 00:59:26,228
She no longer suffers from Bipolar.

1323
00:59:26,229 --> 00:59:27,271
And it's holding.

1324
00:59:27,272 --> 00:59:28,814
It's been seven years now.

1325
00:59:28,815 --> 00:59:30,732
Robyn has reconnected with her children

1326
00:59:30,733 --> 00:59:32,859
and is healing her relationships.

1327
00:59:32,860 --> 00:59:36,154
Before life was
gray, now it's full of color.

1328
00:59:36,155 --> 00:59:40,034
That joy that I knew existed, I now feel.

1329
00:59:40,994 --> 00:59:43,036
I just look
forward to everything.

1330
00:59:43,037 --> 00:59:44,746
That is in the bulls-eye.

1331
00:59:44,747 --> 00:59:46,665
That's totally a miss.

1332
00:59:46,666 --> 00:59:48,917
'Cause this is
what it's supposed to be.

1333
00:59:48,918 --> 00:59:51,837
This is what our life is supposed to be.

1334
00:59:51,838 --> 00:59:55,090
There's hope, and it just
takes one little change.

1335
00:59:55,091 --> 00:59:56,800
You did a good job throwing axes.

1336
00:59:56,801 --> 00:59:57,634
Thank you.

1337
00:59:57,635 --> 01:00:00,137
But now that Robyn
has regained her mental health,

1338
01:00:00,138 --> 01:00:03,056
she has also become more and more lean.

1339
01:00:03,057 --> 01:00:05,350
Well, that's where the irony starts.

1340
01:00:05,351 --> 01:00:08,312
I started this whole
process of eating low carb

1341
01:00:08,313 --> 01:00:10,897
to drop my cholesterol

1342
01:00:10,898 --> 01:00:14,985
and then suddenly my
cholesterol starts shooting up.

1343
01:00:14,986 --> 01:00:19,281
Robyn saw her LDL
cholesterol climb to 360.

1344
01:00:19,282 --> 01:00:23,827
Suddenly, she faced a very
real and difficult decision.

1345
01:00:23,828 --> 01:00:27,998
Should she abandon a diet that
has given her her life back?

1346
01:00:27,999 --> 01:00:31,293
Modern lipidology says abandon
the diet quickly, you know?

1347
01:00:31,294 --> 01:00:34,004
This is the worst thing that
could ever happen to you.

1348
01:00:34,005 --> 01:00:38,467
And yet we see so many
people improving their lives,

1349
01:00:38,468 --> 01:00:39,760
improving their metabolic health,

1350
01:00:39,761 --> 01:00:41,720
improving their mental health.

1351
01:00:41,721 --> 01:00:44,890
And abandoning it could lead

1352
01:00:44,891 --> 01:00:48,185
to some potentially
really negative outcomes.

1353
01:00:48,186 --> 01:00:51,772
So it's tough to figure out what to do.

1354
01:00:51,773 --> 01:00:54,149
Robyn, it's so good to see you again.

1355
01:00:54,150 --> 01:00:55,108
How are you?

1356
01:00:55,109 --> 01:00:56,109
I'm doing really well.

1357
01:00:56,110 --> 01:00:57,361
How are you?

1358
01:00:57,362 --> 01:00:59,738
Robyn turned
to Dr. Tro Kalayjian.

1359
01:00:59,739 --> 01:01:02,532
He specializes in low carb nutrition.

1360
01:01:02,533 --> 01:01:04,451
Of course, you being the
great doctor that you are,

1361
01:01:04,452 --> 01:01:08,914
you asked me, would I go
on a statin, and I refused.

1362
01:01:08,915 --> 01:01:10,874
But instead of being like
all the other doctors

1363
01:01:10,875 --> 01:01:13,710
and considering me a noncompliant patient,

1364
01:01:13,711 --> 01:01:16,505
you worked with me on some ways

1365
01:01:16,506 --> 01:01:18,674
that we could try to get around that.

1366
01:01:18,675 --> 01:01:21,927
We saw your famous Wonder Bread study

1367
01:01:21,928 --> 01:01:25,180
and we knew of other people in my clinic

1368
01:01:25,181 --> 01:01:26,807
who had improved their cholesterol

1369
01:01:26,808 --> 01:01:30,268
by adding back carbohydrates.

1370
01:01:30,269 --> 01:01:33,105
What Dr. Tro just
mentioned is a key premise

1371
01:01:33,106 --> 01:01:34,940
of the Lipid Energy Model.

1372
01:01:34,941 --> 01:01:37,901
I demonstrated this in my
most popular experiment.

1373
01:01:39,696 --> 01:01:42,364
I called it the White Bread Experiment.

1374
01:01:42,365 --> 01:01:44,241
In it, I lowered my cholesterol

1375
01:01:44,242 --> 01:01:46,576
more than 200 points in a week

1376
01:01:46,577 --> 01:01:50,122
by adding white bread to
my otherwise Keto diet.

1377
01:01:50,123 --> 01:01:51,206
The experiment reveals

1378
01:01:51,207 --> 01:01:55,002
just how tightly linked
cholesterol is to metabolism.

1379
01:01:55,837 --> 01:01:57,087
Many people who eat Keto

1380
01:01:57,088 --> 01:01:59,923
have replicated variations
of this experiment.

1381
01:01:59,924 --> 01:02:03,552
It can dramatically and swiftly
affect cholesterol levels.

1382
01:02:03,553 --> 01:02:06,471
And any simple carbohydrate will work.

1383
01:02:06,472 --> 01:02:10,851
It can be white bread, sweet potato, or...

1384
01:02:13,813 --> 01:02:15,731
Five months ago, I started an experiment

1385
01:02:15,732 --> 01:02:18,109
to see which would lower
my cholesterol more,

1386
01:02:19,318 --> 01:02:22,572
statin therapy or Oreo cookies.

1387
01:02:23,948 --> 01:02:25,741
Nick made the provocative choice

1388
01:02:25,742 --> 01:02:28,326
of adding 12 Oreo cookies per day,

1389
01:02:28,327 --> 01:02:30,412
about a hundred grams of carbs

1390
01:02:30,413 --> 01:02:33,457
to his otherwise low carb Keto diet.

1391
01:02:33,458 --> 01:02:35,083
He compared that to six weeks

1392
01:02:35,084 --> 01:02:37,377
of high intensity statin therapy.

1393
01:02:37,378 --> 01:02:39,880
The results are stunning.

1394
01:02:39,881 --> 01:02:42,799
The addition of Oreo cookies
was twice as effective

1395
01:02:42,800 --> 01:02:47,012
at lowering Nick's LDL in less
than half the amount of time.

1396
01:02:47,013 --> 01:02:48,221
But why?

1397
01:02:48,222 --> 01:02:50,807
Well, remember, according
to the Lipid Energy Model,

1398
01:02:50,808 --> 01:02:54,936
the main driver of LDL cholesterol
in people on Keto diets

1399
01:02:54,937 --> 01:02:58,523
is a drop in glucose stores in the liver.

1400
01:02:58,524 --> 01:03:00,400
This shifts energy demand

1401
01:03:00,401 --> 01:03:03,403
toward using mostly fat-based fuel.

1402
01:03:03,404 --> 01:03:06,156
But even a small
reintroduction of carbohydrates

1403
01:03:06,157 --> 01:03:08,617
can refill those glucose stores.

1404
01:03:08,618 --> 01:03:10,911
And when glucose is easily available,

1405
01:03:10,912 --> 01:03:12,996
it dramatically drops the need

1406
01:03:12,997 --> 01:03:15,791
to ship fat fuel in the blood,

1407
01:03:15,792 --> 01:03:18,335
resulting in a sudden and significant drop

1408
01:03:18,336 --> 01:03:19,670
in LDL cholesterol.

1409
01:03:20,838 --> 01:03:23,298
So did it work for Robyn?

1410
01:03:23,299 --> 01:03:28,094
So every day, actually,
the very first meal of my day

1411
01:03:28,095 --> 01:03:30,431
was one sweet potato.

1412
01:03:31,265 --> 01:03:32,224
For three months,

1413
01:03:32,225 --> 01:03:34,684
Robyn added one sweet potato per day

1414
01:03:34,685 --> 01:03:36,312
to her baseline Keto diet.

1415
01:03:37,396 --> 01:03:40,398
Lo and behold, the numbers
are all trending downwards

1416
01:03:40,399 --> 01:03:42,818
where they're supposed to trend downward.

1417
01:03:42,819 --> 01:03:45,779
And we're seeing success.

1418
01:03:45,780 --> 01:03:47,823
But the first thing that happens to me

1419
01:03:47,824 --> 01:03:51,701
when I wake up in the morning,
and this is a big sign to me,

1420
01:03:51,702 --> 01:03:54,579
it's like a blaring me on blinking sign,

1421
01:03:54,580 --> 01:03:56,624
is I can't wait to go back to bed.

1422
01:03:58,251 --> 01:04:00,919
I said, "I think my
depression's coming back."

1423
01:04:00,920 --> 01:04:03,839
Dr. Tro and Robyn
tried scaling back the dose,

1424
01:04:03,840 --> 01:04:06,967
cutting down to half a
sweet potato per day,

1425
01:04:06,968 --> 01:04:08,093
then a quarter.

1426
01:04:08,094 --> 01:04:11,221
But still, her symptoms
of depression lingered.

1427
01:04:11,222 --> 01:04:12,639
It was not getting better.

1428
01:04:12,640 --> 01:04:15,433
Even that quarter of a sweet potato,

1429
01:04:15,434 --> 01:04:17,644
I was not in a good mental state.

1430
01:04:17,645 --> 01:04:20,730
My family was very aware
of what was going on,

1431
01:04:20,731 --> 01:04:22,607
and they were telling me,

1432
01:04:22,608 --> 01:04:24,276
"Mom, it's hard to be around you."

1433
01:04:24,277 --> 01:04:26,695
"Mom, you're angry again."

1434
01:04:26,696 --> 01:04:30,615
It wasn't worth it to
me to drop that number

1435
01:04:30,616 --> 01:04:32,242
and ruin the relationships

1436
01:04:32,243 --> 01:04:35,161
that I was really very new to forming

1437
01:04:35,162 --> 01:04:36,914
with my family members.

1438
01:04:37,874 --> 01:04:40,333
And so we eventually just stopped.

1439
01:04:41,919 --> 01:04:44,421
Robyn's experience
speaks to a larger issue.

1440
01:04:44,422 --> 01:04:47,966
For many people, the
Keto diet is a lifeline,

1441
01:04:47,967 --> 01:04:51,345
and adding back carbohydrates
is simply not an option.

1442
01:04:52,221 --> 01:04:55,432
What's important
to me is my overall health

1443
01:04:55,433 --> 01:04:56,474
and the relationships

1444
01:04:56,475 --> 01:04:59,185
that I'm trying to
rebuild with my children.

1445
01:04:59,186 --> 01:05:02,480
And I can't do that if
I am eating that way.

1446
01:05:02,481 --> 01:05:05,066
I've lived that life, I know
what that life feels like,

1447
01:05:05,067 --> 01:05:07,528
and I never want to go back.

1448
01:05:18,372 --> 01:05:20,123
So to be coming from the outside,

1449
01:05:20,124 --> 01:05:21,833
raise money for a study like that

1450
01:05:21,834 --> 01:05:24,378
to pursue a question that
you're just curious in,

1451
01:05:25,880 --> 01:05:27,964
I'm trying to think of a word
more powerful than admirable,

1452
01:05:27,965 --> 01:05:29,758
but it's incredibly admirable.

1453
01:05:29,759 --> 01:05:31,885
Today, today is the day.

1454
01:05:31,886 --> 01:05:35,473
We're going to Lundquist, so this is it.

1455
01:05:36,474 --> 01:05:37,725
He's swimming upstream.

1456
01:05:39,602 --> 01:05:41,186
And he's had to scrap and fight

1457
01:05:41,187 --> 01:05:42,729
just to get a couple
hundred thousand dollars

1458
01:05:42,730 --> 01:05:43,731
to do these studies.

1459
01:05:44,982 --> 01:05:48,276
Today we get to see the
first hundred heart scans

1460
01:05:48,277 --> 01:05:49,111
from the study.

1461
01:05:51,405 --> 01:05:54,325
It's taken seven years
to get to this point.

1462
01:05:55,326 --> 01:05:56,160
Big day.

1463
01:05:59,288 --> 01:06:02,708
For Dave, it's truly
a passion project for him.

1464
01:06:04,794 --> 01:06:08,380
It's something that he
feels very strongly about.

1465
01:06:08,381 --> 01:06:12,217
This is not about money,
or fame, or fortune,

1466
01:06:12,218 --> 01:06:13,176
or anything like that.

1467
01:06:13,177 --> 01:06:16,347
It has always been about
helping other people.

1468
01:06:17,473 --> 01:06:19,557
I'm kind of nervous, man.
It's been so long to come up

1469
01:06:19,558 --> 01:06:21,268
to this exact moment (indistinct).

1470
01:06:22,228 --> 01:06:26,732
So, Dr. Budoff, our hundred
baselines are here, right?

1471
01:06:28,150 --> 01:06:31,236
So let's look.

1472
01:06:31,237 --> 01:06:32,070
Sure.

1473
01:06:32,071 --> 01:06:37,076
So just going through the
population that we studied,

1474
01:06:37,118 --> 01:06:38,827
you can see a pretty nice spectrum,

1475
01:06:38,828 --> 01:06:41,621
going from about 200 LDL
all the way up to somebody

1476
01:06:41,622 --> 01:06:42,914
who looks like they're approaching

1477
01:06:42,915 --> 01:06:46,209
about 600 milligrams per deciliter.

1478
01:06:46,210 --> 01:06:49,546
So this is kind of the big money shot.

1479
01:06:49,547 --> 01:06:51,549
More than half had zero plaque.

1480
01:06:52,550 --> 01:06:56,803
53% had absolutely no plaque detectable.

1481
01:06:56,804 --> 01:06:59,055
The vast majority have either no

1482
01:06:59,056 --> 01:07:02,350
or minimal atherosclerosis.

1483
01:07:02,351 --> 01:07:03,935
I just couldn't believe my eyes.

1484
01:07:03,936 --> 01:07:08,941
The total plaque score can
go from 0 to a maximum of 45.

1485
01:07:08,983 --> 01:07:12,277
And yet everyone in the
study is a nine or below.

1486
01:07:12,278 --> 01:07:15,822
Not one person even made it to 10.

1487
01:07:15,823 --> 01:07:19,325
This is actually, this is really good,

1488
01:07:19,326 --> 01:07:20,285
right?
- Yeah.

1489
01:07:20,286 --> 01:07:23,038
Staying zero is still
the predominant number

1490
01:07:23,039 --> 01:07:26,124
and the median is still
zero for the overall cohort,

1491
01:07:26,125 --> 01:07:29,294
even as we trended higher in age.

1492
01:07:29,295 --> 01:07:30,670
This is big.

1493
01:07:30,671 --> 01:07:33,965
The average age of our participants is 55.

1494
01:07:33,966 --> 01:07:37,093
At 55 years old, it's
very common to see plaque

1495
01:07:37,094 --> 01:07:38,970
developing in the arteries,

1496
01:07:38,971 --> 01:07:42,182
and yet most of our participants
have no visible plaque

1497
01:07:42,183 --> 01:07:44,225
on these initial scans.

1498
01:07:44,226 --> 01:07:48,146
Add to that, they've been Keto
for an average of 4.7 years.

1499
01:07:48,147 --> 01:07:49,689
That's almost half a decade

1500
01:07:49,690 --> 01:07:52,610
at these sky high levels
of LDL cholesterol.

1501
01:07:53,652 --> 01:07:57,697
Yeah, no, I think this is
really, really incredible data.

1502
01:07:57,698 --> 01:08:00,075
I think the expectations

1503
01:08:00,076 --> 01:08:02,285
when we see LDL cholesterol

1504
01:08:02,286 --> 01:08:06,081
of 200, 300, 500, 600

1505
01:08:06,082 --> 01:08:09,542
is that the coronaries are
gonna be coated in plaque,

1506
01:08:09,543 --> 01:08:11,294
that there's gonna be a lot of blockages,

1507
01:08:11,295 --> 01:08:12,462
that we're gonna be thinking about,

1508
01:08:12,463 --> 01:08:16,091
should we be calling the cardiac
surgeon for bypass surgery?

1509
01:08:16,092 --> 01:08:18,593
And that's not what we saw.

1510
01:08:18,594 --> 01:08:20,470
I just really appreciate this, Matt.

1511
01:08:20,471 --> 01:08:24,015
Like, there's literally
epileptics that write me,

1512
01:08:24,016 --> 01:08:26,392
and severe Type 1 diabetics.

1513
01:08:26,393 --> 01:08:30,188
And, you know, the first
time I'm hearing a toddler,

1514
01:08:30,189 --> 01:08:32,983
her parents are considering
getting her brain surgery.

1515
01:08:34,610 --> 01:08:37,195
And she was thriving on a Ketogenic diet.

1516
01:08:37,196 --> 01:08:38,905
The pediatrician was
pushing back and saying,

1517
01:08:38,906 --> 01:08:39,906
"Well, there's no point

1518
01:08:39,907 --> 01:08:43,368
if she's gonna, like, have
a heart attack in 10 years.

1519
01:08:43,369 --> 01:08:46,621
I wanna be able to give her
that answer from our data.

1520
01:08:46,622 --> 01:08:48,331
We will, we will give 'em the answer.

1521
01:08:48,332 --> 01:08:49,207
Yeah.

1522
01:08:49,208 --> 01:08:50,750
So thanks.

1523
01:08:50,751 --> 01:08:53,503
Thanks to you, and your
team, and everybody.

1524
01:08:53,504 --> 01:08:54,337
That's great.

1525
01:08:54,338 --> 01:08:56,881
And we just pursue wherever
the science takes us.

1526
01:08:56,882 --> 01:08:59,135
And we, you know, come in with open minds

1527
01:09:00,010 --> 01:09:03,471
and try to see which way the,

1528
01:09:03,472 --> 01:09:06,057
you know, the science pushes us.

1529
01:09:06,058 --> 01:09:07,684
Yeah.

1530
01:09:17,486 --> 01:09:19,738
Here we are, London town.

1531
01:09:20,865 --> 01:09:23,616
There's a lot of low carbers here.

1532
01:09:23,617 --> 01:09:25,785
And that means, of course, a number of 'em

1533
01:09:25,786 --> 01:09:27,663
are gonna have some high cholesterol.

1534
01:09:28,539 --> 01:09:30,290
We've traveled all the way across the pond

1535
01:09:30,291 --> 01:09:32,500
to London, England to meet with members

1536
01:09:32,501 --> 01:09:34,335
of the Public Health Collaborative.

1537
01:09:34,336 --> 01:09:37,213
The PHC is a nonprofit health organization

1538
01:09:37,214 --> 01:09:39,757
that advocates for the
use of low carb and Keto

1539
01:09:39,758 --> 01:09:43,261
to reverse metabolic disorders
like Type 2 diabetes.

1540
01:09:43,262 --> 01:09:44,888
Sam Feltham is the president

1541
01:09:44,889 --> 01:09:47,640
and he's been closely
following our research.

1542
01:09:47,641 --> 01:09:52,271
The LDL issue, really one
of the biggest objections

1543
01:09:53,105 --> 01:09:57,025
to implementing low carb in all aspects,

1544
01:09:57,026 --> 01:10:00,529
whether it be cardiovascular
disease, or Type 2 diabetes,

1545
01:10:02,323 --> 01:10:04,365
and everything else in between.

1546
01:10:04,366 --> 01:10:08,995
So Dave's work is vital
in overcoming that.

1547
01:10:08,996 --> 01:10:10,872
So I'm really excited about it.

1548
01:10:15,252 --> 01:10:16,544
Why do
you travel all over the world

1549
01:10:16,545 --> 01:10:18,088
to meet these people in person?

1550
01:10:19,423 --> 01:10:21,007
I think there's just no substitute.

1551
01:10:21,008 --> 01:10:25,303
Like, really coming to
meet people directly,

1552
01:10:25,304 --> 01:10:28,599
you get to know their story directly.

1553
01:10:29,683 --> 01:10:30,767
While we're here,

1554
01:10:30,768 --> 01:10:33,728
we'll actually be chatting
with Dr. Jen Unwin.

1555
01:10:33,729 --> 01:10:34,562
Jen.

1556
01:10:34,563 --> 01:10:35,855
Welcome.

1557
01:10:35,856 --> 01:10:36,689
How are you?

1558
01:10:36,690 --> 01:10:37,607
Pretty good.

1559
01:10:37,608 --> 01:10:38,858
I'm just so excited

1560
01:10:38,859 --> 01:10:40,985
to finally be discussing this with her.

1561
01:10:40,986 --> 01:10:44,864
And of course she has
extraordinarily high levels of LDL.

1562
01:10:44,865 --> 01:10:47,533
You don't just have high cholesterol,

1563
01:10:47,534 --> 01:10:49,994
you have what I think many would consider

1564
01:10:49,995 --> 01:10:51,788
extremely high cholesterol.

1565
01:10:51,789 --> 01:10:52,664
Mm-hmm.

1566
01:10:52,665 --> 01:10:54,207
I myself was very surprised

1567
01:10:54,208 --> 01:10:58,878
that her levels were up
there, at around 600.

1568
01:10:58,879 --> 01:11:02,215
And she's voluntarily
having it at those levels

1569
01:11:02,216 --> 01:11:04,301
in order to work with her food addiction.

1570
01:11:05,427 --> 01:11:07,887
I'm a carb addict.

1571
01:11:07,888 --> 01:11:11,474
If I up my carbohydrate, I
lose all balance with my diet

1572
01:11:11,475 --> 01:11:15,937
and I start overeating and
then putting on weight.

1573
01:11:15,938 --> 01:11:17,730
She's exactly the kind of person

1574
01:11:17,731 --> 01:11:20,733
who drives me to continue this research.

1575
01:11:20,734 --> 01:11:23,152
I'm sure many colleagues would say,

1576
01:11:23,153 --> 01:11:26,072
"Why not just go ahead and
bring the carbs up a little bit

1577
01:11:26,073 --> 01:11:29,118
if that can bring the
cholesterol down a lot more?"

1578
01:11:29,994 --> 01:11:31,703
Why wouldn't you consider that?

1579
01:11:31,704 --> 01:11:34,914
What I've learned, like you,
through self experimentation,

1580
01:11:34,915 --> 01:11:38,584
is that I'm better when I
keep the carbs really low.

1581
01:11:38,585 --> 01:11:40,086
And I think that's why

1582
01:11:40,087 --> 01:11:42,213
my cholesterol's gone up over the years,

1583
01:11:42,214 --> 01:11:44,132
because there's a nice balance

1584
01:11:44,133 --> 01:11:48,261
between feeling well mentally,

1585
01:11:48,262 --> 01:11:50,096
not doing that sort of weight cycling.

1586
01:11:50,097 --> 01:11:54,892
It's just that sort of stability
is so invaluable to me,

1587
01:11:54,893 --> 01:11:56,437
that mental stability.

1588
01:11:58,480 --> 01:12:00,983
I might not even swap that if you told me

1589
01:12:02,776 --> 01:12:05,528
that I'm going out earlier.

1590
01:12:05,529 --> 01:12:07,405
I might even keep that.

1591
01:12:07,406 --> 01:12:11,409
Dr. Jen follows a nearly
100% animal-based diet

1592
01:12:11,410 --> 01:12:13,453
with fresh eggs from her own chickens

1593
01:12:13,454 --> 01:12:16,415
and grass-fed lamb from a
pasture just down the road.

1594
01:12:17,499 --> 01:12:20,460
She's been eating this way
for more than a decade.

1595
01:12:20,461 --> 01:12:23,130
You're eating a lot of these livestock,

1596
01:12:25,090 --> 01:12:27,300
predominantly meat-based diet.

1597
01:12:27,301 --> 01:12:28,134
Yeah.

1598
01:12:28,135 --> 01:12:30,054
It's resulting in you
having high cholesterol.

1599
01:12:30,971 --> 01:12:34,557
And this, as natural as it feels,

1600
01:12:34,558 --> 01:12:36,601
must therefore be killing you, right?

1601
01:12:36,602 --> 01:12:40,104
Yeah, no.

1602
01:12:42,066 --> 01:12:42,899
No.

1603
01:12:42,900 --> 01:12:47,488
So, you know, I feel better
physically and mentally at 59

1604
01:12:48,822 --> 01:12:52,617
than I did in my 20s when
I was eating a high sugar,

1605
01:12:52,618 --> 01:12:55,244
high processed food diet.

1606
01:12:55,245 --> 01:12:56,704
Dr. Jen is not alone.

1607
01:12:56,705 --> 01:12:59,624
New research is bringing to
light the benefits of Keto

1608
01:12:59,625 --> 01:13:02,251
for a variety of eating disorders.

1609
01:13:05,172 --> 01:13:08,174
Then there was kind of
this constant, like, battle.

1610
01:13:08,175 --> 01:13:09,384
You know, I felt like I was standing

1611
01:13:09,385 --> 01:13:10,843
on the sidelines of my own life.

1612
01:13:10,844 --> 01:13:12,845
Like, I couldn't really
participate, you know?

1613
01:13:12,846 --> 01:13:14,931
'Cause I always had,
like, all these thoughts

1614
01:13:14,932 --> 01:13:16,099
running through my head.

1615
01:13:16,100 --> 01:13:17,892
Michelle Hurn
was just 12 years old

1616
01:13:17,893 --> 01:13:20,478
when she was diagnosed
with Anorexia nervosa,

1617
01:13:20,479 --> 01:13:23,022
a potentially deadly eating disorder.

1618
01:13:23,023 --> 01:13:26,192
She suffered from constant
racing thoughts about food

1619
01:13:26,193 --> 01:13:27,944
but struggled to eat.

1620
01:13:27,945 --> 01:13:30,446
She became so thin her parents sent her

1621
01:13:30,447 --> 01:13:32,073
to an inpatient care facility

1622
01:13:32,074 --> 01:13:34,992
where the medical team put
her on an IV feeding tube

1623
01:13:34,993 --> 01:13:38,204
and force-fed her foods that
would help her gain weight.

1624
01:13:38,205 --> 01:13:40,373
The number one
ingredients of tube formulas

1625
01:13:40,374 --> 01:13:44,460
are maltodextrin, soy protein,
corn syrup, canola oil,

1626
01:13:44,461 --> 01:13:47,547
these really highly
inflammatory ingredients.

1627
01:13:47,548 --> 01:13:49,632
And so, you know, you're taking somebody

1628
01:13:49,633 --> 01:13:52,510
who, you know, clearly
had starved themselves

1629
01:13:52,511 --> 01:13:55,888
for several months, super damaged GI,

1630
01:13:55,889 --> 01:13:59,392
and immediately dripping,
you know, all of this sugar

1631
01:13:59,393 --> 01:14:01,269
and oil in their system

1632
01:14:01,270 --> 01:14:03,980
while having them eat the
standard American diet.

1633
01:14:03,981 --> 01:14:05,273
You know, we were eating cereals,

1634
01:14:05,274 --> 01:14:07,400
and breads, and pastas, the food pyramid.

1635
01:14:07,401 --> 01:14:08,860
The focus of treatment

1636
01:14:08,861 --> 01:14:10,653
always seems to be about the weight.

1637
01:14:10,654 --> 01:14:12,280
Eat your shakes.

1638
01:14:12,281 --> 01:14:14,031
Eat your chocolate shakes,
and your chocolate cake,

1639
01:14:14,032 --> 01:14:15,700
and your cookies.

1640
01:14:15,701 --> 01:14:19,454
I mean, it's a real thing that
people aren't able to leave

1641
01:14:19,455 --> 01:14:22,206
an inpatient treatment center
until they eat their cookies.

1642
01:14:22,207 --> 01:14:23,916
It didn't take long for,

1643
01:14:23,917 --> 01:14:26,335
I had all kinds of
problems in the facility.

1644
01:14:26,336 --> 01:14:30,423
I had severe anxiety, you know, depressed.

1645
01:14:30,424 --> 01:14:32,091
I was, like, shaking.

1646
01:14:32,092 --> 01:14:34,802
I had massive GI issues, diarrhea,

1647
01:14:34,803 --> 01:14:37,763
then constipation, lots of pain.

1648
01:14:37,764 --> 01:14:39,015
And, you know, you're often told,

1649
01:14:39,016 --> 01:14:40,391
like, it's in your head, you know?

1650
01:14:40,392 --> 01:14:41,726
It's in your head.

1651
01:14:41,727 --> 01:14:46,355
It was a very difficult time.

1652
01:14:46,356 --> 01:14:48,065
Michelle eventually
gained enough weight

1653
01:14:48,066 --> 01:14:49,484
to check out at the care facility,

1654
01:14:49,485 --> 01:14:52,403
but she struggled with
anxiety and nutrition

1655
01:14:52,404 --> 01:14:55,239
throughout adolescence and into adulthood,

1656
01:14:55,240 --> 01:14:57,950
even contemplating suicide for a time.

1657
01:14:57,951 --> 01:15:00,328
Then out of sheer desperation,

1658
01:15:00,329 --> 01:15:04,123
she tried a low carb,
high animal protein diet.

1659
01:15:04,124 --> 01:15:05,500
In a matter of weeks,

1660
01:15:05,501 --> 01:15:08,794
her anxiety around food
started clearing up.

1661
01:15:08,795 --> 01:15:10,546
If you're thinking
about eating disorders

1662
01:15:10,547 --> 01:15:13,633
as purely like a psychiatric illness,

1663
01:15:13,634 --> 01:15:15,343
like, you can't ask somebody

1664
01:15:15,344 --> 01:15:18,304
with a dysfunctional
relationship with food

1665
01:15:18,305 --> 01:15:20,806
to eliminate a food group
or give up a food group.

1666
01:15:20,807 --> 01:15:24,310
Like, that in theory, like, makes sense.

1667
01:15:24,311 --> 01:15:26,896
But what I want people to understand

1668
01:15:26,897 --> 01:15:28,272
and what I'd want more dieticians

1669
01:15:28,273 --> 01:15:30,399
and medical professionals to understand

1670
01:15:30,400 --> 01:15:33,611
is Anorexia is not just
a psychiatric illness.

1671
01:15:33,612 --> 01:15:36,447
It has a metabolic
component to it, you know?

1672
01:15:36,448 --> 01:15:39,534
And that's the one
thing that we've missed.

1673
01:15:39,535 --> 01:15:42,078
I mean, Anorexia has the
highest mortality rate

1674
01:15:42,079 --> 01:15:44,288
of any psychiatric disorder.

1675
01:15:44,289 --> 01:15:48,251
So if people can eat in a way,

1676
01:15:48,252 --> 01:15:49,877
you know, that provides their body

1677
01:15:49,878 --> 01:15:52,088
with all the nourishment they need,

1678
01:15:52,089 --> 01:15:54,674
and they feel calm, and they
can participate in their life,

1679
01:15:54,675 --> 01:15:56,884
I would say that's not restrictive.

1680
01:15:56,885 --> 01:15:58,094
That's freedom.

1681
01:15:58,095 --> 01:16:00,805
And I think a lot of food
addicts would stay the same.

1682
01:16:00,806 --> 01:16:04,976
It's really priceless,
that freedom from cravings

1683
01:16:04,977 --> 01:16:09,730
and compulsions to eat,
which I've suffered.

1684
01:16:09,731 --> 01:16:11,440
Both Dr. Jen and Michelle

1685
01:16:11,441 --> 01:16:13,359
have dedicated their
lives to helping others

1686
01:16:13,360 --> 01:16:14,860
with eating disorders,

1687
01:16:14,861 --> 01:16:16,988
Michelle as a registered dietician

1688
01:16:16,989 --> 01:16:18,656
who supports Ketogenic nutrition

1689
01:16:18,657 --> 01:16:20,491
for treatment of Anorexia

1690
01:16:20,492 --> 01:16:24,078
and Dr. Jen in her
practice as a psychologist.

1691
01:16:24,079 --> 01:16:28,040
I'm dedicated now to this
work around food addiction,

1692
01:16:28,041 --> 01:16:29,584
educating people about that

1693
01:16:29,585 --> 01:16:33,129
so that they understand
that it's a real condition,

1694
01:16:33,130 --> 01:16:35,840
and helping them to learn to manage it.

1695
01:16:35,841 --> 01:16:38,134
But what about the cholesterol?

1696
01:16:38,135 --> 01:16:40,595
Both women are Hyper Responders.

1697
01:16:40,596 --> 01:16:44,724
Soon, Dr. Jen will visit her
cardiologist to find out,

1698
01:16:44,725 --> 01:16:46,684
is she trading good health today

1699
01:16:46,685 --> 01:16:48,520
for a heart attack tomorrow?

1700
01:16:55,068 --> 01:16:56,902
I think one of the benefits of traveling

1701
01:16:56,903 --> 01:16:59,740
and showing that this is everywhere,

1702
01:17:00,616 --> 01:17:04,785
in all ethnicities, and in
all ages, and all genders,

1703
01:17:04,786 --> 01:17:09,750
that it's a phenomenon that
needs to get looked at.

1704
01:17:10,125 --> 01:17:12,376
I think when people can see that,

1705
01:17:12,377 --> 01:17:14,295
particularly when all
kinds of people can see

1706
01:17:14,296 --> 01:17:16,213
all kinds of people are affected,

1707
01:17:16,214 --> 01:17:17,382
that makes a difference.

1708
01:17:24,389 --> 01:17:25,682
Okay, so you're recording?

1709
01:17:29,436 --> 01:17:32,147
This is absolutely gonna be one
of the best days of my life.

1710
01:17:33,815 --> 01:17:35,608
There's been a big development.

1711
01:17:35,609 --> 01:17:38,319
Dr. Budoff's team is preparing
our study for submission

1712
01:17:38,320 --> 01:17:40,446
to the American Heart Association.

1713
01:17:40,447 --> 01:17:42,907
The goal is to present a
summary of our research

1714
01:17:42,908 --> 01:17:45,576
to the AHA's Scientific Sessions,

1715
01:17:45,577 --> 01:17:47,828
one of the most important
cardiology conferences

1716
01:17:47,829 --> 01:17:49,205
in the world.

1717
01:17:49,206 --> 01:17:50,373
Tomorrow, yeah.

1718
01:17:50,374 --> 01:17:51,290
Tomorrow, wow.

1719
01:17:51,291 --> 01:17:53,042
Okay, so this is really it.

1720
01:17:53,043 --> 01:17:56,588
All the work, all of the
push, this is the moment.

1721
01:17:58,256 --> 01:18:00,216
I wasn't just thinking
it, I could feel it.

1722
01:18:00,217 --> 01:18:01,051
This is it.

1723
01:18:02,010 --> 01:18:04,720
This may be some of the most novel data

1724
01:18:04,721 --> 01:18:07,723
in the field of cardiology in decades.

1725
01:18:07,724 --> 01:18:11,519
Dr. Budoff has prepared a
comparison between 80 participants

1726
01:18:11,520 --> 01:18:14,105
in our Lean Mass Hyper Responder Study

1727
01:18:14,106 --> 01:18:16,482
and 80 from the Miami Heart Study,

1728
01:18:16,483 --> 01:18:18,693
a separate study that includes many

1729
01:18:18,694 --> 01:18:20,403
who are also metabolically healthy

1730
01:18:20,404 --> 01:18:23,614
but have average levels
of LDL cholesterol.

1731
01:18:23,615 --> 01:18:25,241
For the first time ever,

1732
01:18:25,242 --> 01:18:27,576
we'll see how the plaque
levels in our group

1733
01:18:27,577 --> 01:18:31,455
compare to a healthy
matched control group.

1734
01:18:31,456 --> 01:18:33,165
Are you excited about this data?

1735
01:18:33,166 --> 01:18:34,208
Yeah, no, I'm very excited.

1736
01:18:34,209 --> 01:18:35,167
I'm looking forward to it.

1737
01:18:35,168 --> 01:18:37,878
I'm pretty confident that
we'll be able to present it

1738
01:18:37,879 --> 01:18:39,338
as a late-breaking clinical trial.

1739
01:18:39,339 --> 01:18:41,257
Obviously, we have to wait to see

1740
01:18:41,258 --> 01:18:42,925
what the American Heart says about it,

1741
01:18:42,926 --> 01:18:46,011
but I think it's robust
data, it's prospective,

1742
01:18:46,012 --> 01:18:47,138
it was blinded.

1743
01:18:47,139 --> 01:18:50,891
This is very exciting data and
I think very powerful data.

1744
01:18:50,892 --> 01:18:52,810
This is a pivotal moment.

1745
01:18:52,811 --> 01:18:54,854
Our data and this comparison

1746
01:18:54,855 --> 01:18:58,315
have the potential to influence
the world of cardiology.

1747
01:18:58,316 --> 01:19:02,570
As much as I'd like to
have been that protagonist

1748
01:19:02,571 --> 01:19:04,156
who knew he was right all along,

1749
01:19:06,324 --> 01:19:09,745
you don't know until it's right
there staring back at you.

1750
01:19:13,081 --> 01:19:14,082
Okay, alright.

1751
01:19:14,916 --> 01:19:15,959
We've got a busy morning.

1752
01:19:20,881 --> 01:19:22,923
We've come to Philadelphia, Pennsylvania

1753
01:19:22,924 --> 01:19:26,260
for the American Heart
Association's annual conference.

1754
01:19:26,261 --> 01:19:27,553
This is where cardiologists

1755
01:19:27,554 --> 01:19:29,346
and lipidologists from all over the world

1756
01:19:29,347 --> 01:19:31,432
come to learn the latest science,

1757
01:19:31,433 --> 01:19:35,561
except we've just learned our
science won't be presented.

1758
01:19:35,562 --> 01:19:36,855
I'm just beside myself.

1759
01:19:38,148 --> 01:19:38,981
I couldn't sleep.

1760
01:19:38,982 --> 01:19:41,692
I couldn't get over

1761
01:19:41,693 --> 01:19:45,446
that this was happening.

1762
01:19:45,447 --> 01:19:47,948
The American Heart
Association has a long history

1763
01:19:47,949 --> 01:19:50,743
of pushing back against low carb and Keto.

1764
01:19:50,744 --> 01:19:52,745
I suspected they might downplay our data,

1765
01:19:52,746 --> 01:19:56,415
but honestly I never expected this.

1766
01:19:56,416 --> 01:20:00,127
I can't think of a single better example

1767
01:20:00,128 --> 01:20:03,506
of what we're up against, frankly,

1768
01:20:03,507 --> 01:20:07,092
than the American Heart
Association's Scientific Sessions

1769
01:20:07,093 --> 01:20:11,765
rejecting our abstract of 160 people.

1770
01:20:12,849 --> 01:20:16,852
Groups of 80 compared with CT angiography,

1771
01:20:16,853 --> 01:20:18,646
that gets rejected.

1772
01:20:18,647 --> 01:20:20,940
But they're accepting
a case report abstract

1773
01:20:20,941 --> 01:20:25,946
on a single person who already
had advanced heart disease,

1774
01:20:27,405 --> 01:20:29,615
then having a heart attack,

1775
01:20:29,616 --> 01:20:33,578
and emphasizing that it's a
Lean Mass Hyper Responder.

1776
01:20:34,913 --> 01:20:37,623
Why not at least accept both?

1777
01:20:37,624 --> 01:20:39,875
I'm dumbfounded, honestly.

1778
01:20:39,876 --> 01:20:41,085
Very disappointing, for sure.

1779
01:20:41,086 --> 01:20:43,963
I thought it would be
accepted at American Heart.

1780
01:20:43,964 --> 01:20:46,382
But, you know, we'll never know for sure

1781
01:20:46,383 --> 01:20:48,468
what kept it from the meeting.

1782
01:20:52,305 --> 01:20:53,222
Thank you very much.

1783
01:20:53,223 --> 01:20:55,724
It's certainly a pleasure
to be here with everybody.

1784
01:20:55,725 --> 01:20:57,351
Fortunately, it didn't take long

1785
01:20:57,352 --> 01:20:59,019
before another cardiology conference

1786
01:20:59,020 --> 01:21:02,565
recognized the value of this
new and exciting research.

1787
01:21:02,566 --> 01:21:04,692
So we undertook this study

1788
01:21:04,693 --> 01:21:08,863
to look at this interesting
population of patients

1789
01:21:08,864 --> 01:21:13,325
who go on a carbohydrate-restricted
Ketogenic diet

1790
01:21:13,326 --> 01:21:18,163
and end up with very high LDL cholesterol.

1791
01:21:18,164 --> 01:21:19,832
The Lean Mass Hyper Responders

1792
01:21:19,833 --> 01:21:23,460
had an LDL of 272
milligrams per deciliter.

1793
01:21:23,461 --> 01:21:27,424
And when we compared them to
patients with more normal LDLs,

1794
01:21:28,717 --> 01:21:31,385
mean LDL of 123, there was no difference

1795
01:21:31,386 --> 01:21:33,846
in coronary plaque burden.

1796
01:21:33,847 --> 01:21:35,431
It's incredible.

1797
01:21:35,432 --> 01:21:36,849
When you compare the two groups,

1798
01:21:36,850 --> 01:21:39,476
there is no statistically
significant difference

1799
01:21:39,477 --> 01:21:41,103
in total plaque score.

1800
01:21:41,104 --> 01:21:44,398
In fact, ours are
trending slightly better.

1801
01:21:44,399 --> 01:21:47,693
In spite of having sky high
levels of LDL cholesterol,

1802
01:21:47,694 --> 01:21:49,278
the Lean Mass Hyper Responder group

1803
01:21:49,279 --> 01:21:52,489
has essentially the same
low level of plaque.

1804
01:21:52,490 --> 01:21:54,325
But I'll just conclude by saying

1805
01:21:54,326 --> 01:21:56,619
there is no correlation, in this study,

1806
01:21:56,620 --> 01:21:59,622
between LDL cholesterol and plaque burden.

1807
01:21:59,623 --> 01:22:02,458
So with that, I'll stop and
thank you all very much.

1808
01:22:04,669 --> 01:22:07,380
That was fantastic.

1809
01:22:11,760 --> 01:22:13,636
I don't know how much
more I could've liked it.

1810
01:22:13,637 --> 01:22:16,931
And the response from the audience

1811
01:22:16,932 --> 01:22:19,058
was kind of what I was expecting.

1812
01:22:19,059 --> 01:22:20,976
We are seeing these
people in clinical practice

1813
01:22:20,977 --> 01:22:23,145
and it makes us feel very uncomfortable

1814
01:22:23,146 --> 01:22:24,104
when somebody walks in with this.

1815
01:22:24,105 --> 01:22:26,440
So would you recommend

1816
01:22:26,441 --> 01:22:28,233
that we're supposed to just ignore the LDL

1817
01:22:28,234 --> 01:22:29,568
and not treat them if they walk in?

1818
01:22:29,569 --> 01:22:30,819
No, no.

1819
01:22:30,820 --> 01:22:33,238
So I would say get a calcium score.

1820
01:22:33,239 --> 01:22:36,075
If we have great data that
a calcium score of zero

1821
01:22:36,076 --> 01:22:38,619
does not induce long-term risk,

1822
01:22:38,620 --> 01:22:40,412
I would say get a calcium score.

1823
01:22:40,413 --> 01:22:42,539
Going as fast as I can, George, I promise.

1824
01:22:42,540 --> 01:22:44,083
Huge amount of interest.

1825
01:22:44,084 --> 01:22:46,085
Rapid fire questions.

1826
01:22:48,171 --> 01:22:49,964
They had to cut off the questions

1827
01:22:49,965 --> 01:22:51,131
because there were just so many.

1828
01:22:51,132 --> 01:22:54,051
I think it was eyeopening
for a lot of people.

1829
01:22:54,052 --> 01:22:54,886
Yeah.

1830
01:22:55,762 --> 01:22:56,595
This is it.

1831
01:22:56,596 --> 01:22:59,139
I mean, we're across the dotted line now.

1832
01:22:59,140 --> 01:23:01,475
Wow, what a revelation.

1833
01:23:01,476 --> 01:23:03,727
Earth-shaking in the world of health.

1834
01:23:03,728 --> 01:23:05,437
Will the findings of a new study

1835
01:23:05,438 --> 01:23:08,440
make us rethink everything we
know about LDL cholesterol?

1836
01:23:08,441 --> 01:23:09,525
The video I posted

1837
01:23:09,526 --> 01:23:11,402
is already up to a hundred thousand views.

1838
01:23:11,403 --> 01:23:14,822
I don't think I've ever
had anything this viral.

1839
01:23:14,823 --> 01:23:17,950
The data that I've been
talking about is finally in.

1840
01:23:17,951 --> 01:23:20,744
Even after four years,
most of these people

1841
01:23:20,745 --> 01:23:23,956
do not have a progression
of atherosclerosis.

1842
01:23:23,957 --> 01:23:26,083
And that's also getting a little spicy.

1843
01:23:26,084 --> 01:23:27,960
A number of people are
getting pushback too.

1844
01:23:27,961 --> 01:23:29,670
A lot of people now are
feeling that it's okay

1845
01:23:29,671 --> 01:23:32,381
to chug endless amounts of saturated fat

1846
01:23:32,382 --> 01:23:35,134
and increase your LDL to 500.

1847
01:23:35,135 --> 01:23:36,635
So the research that Dave is doing

1848
01:23:36,636 --> 01:23:40,431
with Dr. Budoff and others
is absolutely groundbreaking

1849
01:23:40,432 --> 01:23:43,392
because medicine has never
looked at this in this way.

1850
01:23:43,393 --> 01:23:46,562
Whatever it shows, we need
to know what is going on

1851
01:23:46,563 --> 01:23:49,148
in this particular patient population.

1852
01:23:49,149 --> 01:23:51,066
And then that will hopefully
lead to more research,

1853
01:23:51,067 --> 01:23:53,861
and more experience, and more
research, and more experience.

1854
01:23:53,862 --> 01:23:55,779
And that's how science progresses.

1855
01:23:55,780 --> 01:23:57,448
That's how medicine progresses.

1856
01:23:57,449 --> 01:23:58,991
It's new territory,

1857
01:23:58,992 --> 01:24:03,204
but the territory I was
aiming to get to.

1858
01:24:09,502 --> 01:24:11,503
When it comes to risk
factors for heart disease,

1859
01:24:11,504 --> 01:24:14,381
is it possible that we've
been missing the forest

1860
01:24:14,382 --> 01:24:16,008
for the trees?

1861
01:24:16,009 --> 01:24:17,259
Is it possible

1862
01:24:17,260 --> 01:24:20,179
that we've been hyper-focused
on LDL cholesterol

1863
01:24:20,180 --> 01:24:24,308
when the major culprit is
chronically high insulin?

1864
01:24:24,309 --> 01:24:26,769
Our processed food culture
provides an overabundance

1865
01:24:26,770 --> 01:24:28,896
of refined carbohydrates and sugar.

1866
01:24:28,897 --> 01:24:32,441
The blood sugar spikes caused
by over-consuming these foods

1867
01:24:32,442 --> 01:24:35,235
wreaks havoc on our metabolism.

1868
01:24:35,236 --> 01:24:36,320
This causes our bodies

1869
01:24:36,321 --> 01:24:39,198
to release ever higher amounts of insulin.

1870
01:24:39,199 --> 01:24:40,365
Chronically high insulin

1871
01:24:40,366 --> 01:24:42,577
is a major risk factor for heart disease.

1872
01:24:43,578 --> 01:24:46,246
Take a look at this analysis
of one of the largest

1873
01:24:46,247 --> 01:24:49,374
and longest health studies ever conducted.

1874
01:24:49,375 --> 01:24:50,793
The Women's Health Initiative

1875
01:24:50,794 --> 01:24:53,378
examined more than 160,000 women

1876
01:24:53,379 --> 01:24:56,590
over a period of more than 20 years.

1877
01:24:56,591 --> 01:24:58,175
This analysis found the condition

1878
01:24:58,176 --> 01:25:00,552
with the greatest risk
factor for heart disease

1879
01:25:00,553 --> 01:25:02,055
is Type 2 diabetes.

1880
01:25:02,972 --> 01:25:05,307
People with Type 2 increase their risk

1881
01:25:05,308 --> 01:25:09,478
of developing heart disease
by more than tenfold.

1882
01:25:09,479 --> 01:25:11,105
Those with metabolic syndrome,

1883
01:25:11,106 --> 01:25:13,482
which is a cluster of metabolic disorders,

1884
01:25:13,483 --> 01:25:16,568
have more than sixfold greater risk.

1885
01:25:16,569 --> 01:25:17,611
The biological marker

1886
01:25:17,612 --> 01:25:19,571
with the highest risk
factor for heart disease

1887
01:25:19,572 --> 01:25:21,448
is insulin resistance.

1888
01:25:21,449 --> 01:25:23,534
Insulin resistance occurs in people

1889
01:25:23,535 --> 01:25:25,744
who have chronically
high levels of insulin,

1890
01:25:25,745 --> 01:25:27,996
like in Type 2 diabetes.

1891
01:25:27,997 --> 01:25:30,040
No other marker even comes close.

1892
01:25:30,041 --> 01:25:33,127
By comparison, elevated LDL is associated

1893
01:25:33,128 --> 01:25:35,963
with a very small increased risk.

1894
01:25:35,964 --> 01:25:39,967
Insulin resistance is responsible

1895
01:25:39,968 --> 01:25:42,761
not just for diabetes and heart disease

1896
01:25:42,762 --> 01:25:45,639
but all chronic diseases of the West.

1897
01:25:45,640 --> 01:25:48,058
And if you're not
measuring insulin levels,

1898
01:25:48,059 --> 01:25:50,227
you're missing the boat.

1899
01:25:50,228 --> 01:25:52,563
Yet insulin is rarely tested,

1900
01:25:52,564 --> 01:25:54,523
even though insulin resistance

1901
01:25:54,524 --> 01:25:57,943
has the strongest association
with the biggest killer.

1902
01:25:57,944 --> 01:25:59,653
What is routinely tested

1903
01:25:59,654 --> 01:26:02,197
in physician offices all around the world?

1904
01:26:02,198 --> 01:26:03,031
cholesterol.

1905
01:26:03,032 --> 01:26:05,784
There've been lots of theories
about why the focus on LDL,

1906
01:26:05,785 --> 01:26:09,163
and one is because we have
a drug that we can give,

1907
01:26:09,164 --> 01:26:12,457
that is, you know, quote,
unquote, easy to take,

1908
01:26:12,458 --> 01:26:15,085
easy to give, easy for the doctors,

1909
01:26:15,086 --> 01:26:17,629
as opposed to lifestyle changes,

1910
01:26:17,630 --> 01:26:19,756
which is what improves metabolic health,

1911
01:26:19,757 --> 01:26:22,092
which takes more time to talk about,

1912
01:26:22,093 --> 01:26:25,637
which is, for many people,
harder than taking a pill.

1913
01:26:25,638 --> 01:26:27,514
I mean, that's really
where the focus should be,

1914
01:26:27,515 --> 01:26:30,350
but unfortunately I think
our modern day medicine

1915
01:26:30,351 --> 01:26:35,022
is not very good at addressing
lifestyle interventions

1916
01:26:35,023 --> 01:26:37,192
as opposed to pharmaceutical
interventions.

1917
01:26:49,078 --> 01:26:51,121
The final data is finally here

1918
01:26:51,122 --> 01:26:53,165
and I'm driving to meet Dr. Budoff.

1919
01:26:53,166 --> 01:26:55,752
I've waited eight years for this moment.

1920
01:26:57,462 --> 01:26:59,922
Dr. Budoff is ready to
show me a comparison

1921
01:26:59,923 --> 01:27:02,799
between the first and
the final set of scans.

1922
01:27:02,800 --> 01:27:04,509
Take a look.

1923
01:27:04,510 --> 01:27:07,304
It's hard to even
describe how much effort it took

1924
01:27:07,305 --> 01:27:09,056
to get to this very moment.

1925
01:27:13,478 --> 01:27:16,355
Alright, one more try.

1926
01:27:16,356 --> 01:27:21,360
It's definitely been a
roller coaster of seven,

1927
01:27:21,361 --> 01:27:23,487
however many years it's been.

1928
01:27:23,488 --> 01:27:26,365
He just keeps pushing through
all of the ups and downs

1929
01:27:26,366 --> 01:27:27,824
and the days where he just feels

1930
01:27:27,825 --> 01:27:30,577
like he wants to just give it up

1931
01:27:30,578 --> 01:27:33,580
and move on to something else.

1932
01:27:33,581 --> 01:27:37,919
He always just looks towards
the people that he's helping.

1933
01:27:40,546 --> 01:27:42,631
All right, Dave, sorry.

1934
01:27:42,632 --> 01:27:43,465
No worries.

1935
01:27:43,466 --> 01:27:45,134
Promise, this
should work. Alright.

1936
01:27:47,804 --> 01:27:49,721
A lot of people can
come up with a hypothesis,

1937
01:27:49,722 --> 01:27:52,266
but what he's done is
he's followed it through.

1938
01:27:52,267 --> 01:27:54,142
For someone with no medical training,

1939
01:27:54,143 --> 01:27:56,478
no medical degrees, no research training,

1940
01:27:56,479 --> 01:27:59,106
to have partnered and
built this amazing team

1941
01:27:59,107 --> 01:28:01,024
that contribute to the medical literature

1942
01:28:01,025 --> 01:28:03,819
is substantial, and
really deserves notice,

1943
01:28:03,820 --> 01:28:04,945
and would be remarkable

1944
01:28:04,946 --> 01:28:07,281
for any, you know, seasoned researcher.

1945
01:28:07,282 --> 01:28:08,657
But he's an engineer.

1946
01:28:08,658 --> 01:28:11,536
He's completely on the outside
and he's created all this.

1947
01:28:12,578 --> 01:28:13,412
And we're in business.

1948
01:28:13,413 --> 01:28:15,248
All right, so here's the data.

1949
01:28:16,082 --> 01:28:18,250
So this is a sum of all of the vessels

1950
01:28:18,251 --> 01:28:20,252
and the severity of the plaque.

1951
01:28:20,253 --> 01:28:23,630
Overall, very, very excellent data,

1952
01:28:23,631 --> 01:28:26,508
with about 90% of
patients showing no change

1953
01:28:26,509 --> 01:28:28,510
over the course of a full year.

1954
01:28:28,511 --> 01:28:29,345
Wow.

1955
01:28:30,430 --> 01:28:33,307
The data is better than I ever expected.

1956
01:28:33,308 --> 01:28:38,145
90% of our participants show
little to no change in plaque.

1957
01:28:38,146 --> 01:28:39,688
That means most people

1958
01:28:39,689 --> 01:28:43,317
who started with zero plaque
a year ago stayed at zero.

1959
01:28:43,318 --> 01:28:46,236
Vast majority, 90% plus,

1960
01:28:46,237 --> 01:28:48,697
are in that range of no progression,

1961
01:28:48,698 --> 01:28:51,075
which is a great place to be.

1962
01:28:51,993 --> 01:28:54,536
Overall, remarkable results.

1963
01:28:54,537 --> 01:28:56,330
But there are a few outliers.

1964
01:28:56,331 --> 01:28:59,791
Six people showed significant
plaque progression.

1965
01:28:59,792 --> 01:29:02,294
But even then, the numbers don't line up

1966
01:29:02,295 --> 01:29:04,421
the way modern medicine would predict.

1967
01:29:04,422 --> 01:29:06,006
There is no correlation

1968
01:29:06,007 --> 01:29:07,674
between the levels of LDL cholesterol

1969
01:29:07,675 --> 01:29:09,634
and the progression of plaque.

1970
01:29:09,635 --> 01:29:12,804
In fact, some people with
the highest LDL cholesterol

1971
01:29:12,805 --> 01:29:15,474
developed no plaque at all.

1972
01:29:15,475 --> 01:29:16,641
And take a look at this.

1973
01:29:16,642 --> 01:29:19,728
Six people actually show regression.

1974
01:29:19,729 --> 01:29:22,689
We did see six
people with regression.

1975
01:29:22,690 --> 01:29:25,359
So six people had less plaque.

1976
01:29:25,360 --> 01:29:26,818
This is incredibly exciting.

1977
01:29:26,819 --> 01:29:30,989
Six people had less plaque
at the end of one year.

1978
01:29:30,990 --> 01:29:34,785
At these levels of LDL
cholesterol, that's unheard of.

1979
01:29:34,786 --> 01:29:38,121
For years, I've wondered
if that's even possible.

1980
01:29:38,122 --> 01:29:39,664
We wouldn't expect it.

1981
01:29:39,665 --> 01:29:41,541
And if we did, that
would be a new learning

1982
01:29:41,542 --> 01:29:42,918
that we try to understand.

1983
01:29:42,919 --> 01:29:46,338
If you saw regression with LDL levels

1984
01:29:46,339 --> 01:29:50,550
in the 2-300 range, that
better be front page news

1985
01:29:50,551 --> 01:29:53,595
because that would be remarkable.

1986
01:29:53,596 --> 01:29:55,931
To independently
confirm these findings,

1987
01:29:55,932 --> 01:29:58,266
we sent the same scans to an outside group

1988
01:29:58,267 --> 01:30:00,394
for a separate analysis.

1989
01:30:00,395 --> 01:30:03,438
Heartflow is one of the most
thoroughly validated platforms

1990
01:30:03,439 --> 01:30:05,899
in cardiovascular research.

1991
01:30:05,900 --> 01:30:07,651
Their results broadly matched

1992
01:30:07,652 --> 01:30:11,738
Dr. Budoff's semi-quantitative
and quantitative analysis.

1993
01:30:11,739 --> 01:30:15,034
The median change in
plaque volume remains low.

1994
01:30:15,993 --> 01:30:17,494
And look at this.

1995
01:30:17,495 --> 01:30:21,207
Heartflow shows more than 30
participants with regression.

1996
01:30:22,208 --> 01:30:25,419
Plaque regression has
been visually verified

1997
01:30:25,420 --> 01:30:27,629
by Dr. Budoff's team directly.

1998
01:30:27,630 --> 01:30:32,300
Multiple participants have less
plaque in their second scan,

1999
01:30:32,301 --> 01:30:36,388
people like Mark, Craig,
Kathleen, and Lyle.

2000
01:30:36,389 --> 01:30:39,474
In spite of high LDL cholesterol,

2001
01:30:39,475 --> 01:30:42,727
all four of you actually saw regression.

2002
01:30:42,728 --> 01:30:44,146
How did that make you feel?

2003
01:30:44,147 --> 01:30:46,648
That was refreshing news.

2004
01:30:46,649 --> 01:30:48,859
Thrilled of course,
over the moon for myself.

2005
01:30:48,860 --> 01:30:49,734
I was happy.

2006
01:30:49,735 --> 01:30:52,362
I'm happy with it 'cause
I love the Keto diet

2007
01:30:52,363 --> 01:30:53,572
and I wanna stay on it.

2008
01:30:53,573 --> 01:30:56,617
Do you feel this study
will affect clinical care?

2009
01:30:57,452 --> 01:30:58,285
I do.

2010
01:30:58,286 --> 01:31:02,497
I think for those patients
with a hyper response of LDL

2011
01:31:02,498 --> 01:31:04,249
in the setting of a Ketogenic diet,

2012
01:31:04,250 --> 01:31:07,043
I think that this should
have a change in management.

2013
01:31:07,044 --> 01:31:09,838
I can't imagine even a cardiologist

2014
01:31:09,839 --> 01:31:12,382
who would say this is inappropriate

2015
01:31:12,383 --> 01:31:13,885
to let you be on this diet.

2016
01:31:19,599 --> 01:31:21,766
This is something that should
be interesting to everyone.

2017
01:31:21,767 --> 01:31:23,560
Even if that only applies to one patient,

2018
01:31:23,561 --> 01:31:24,811
you still have to ask the question,

2019
01:31:24,812 --> 01:31:26,397
well, what the heck is going on?

2020
01:31:29,775 --> 01:31:33,069
Okay, Jen, so you had your CT scan.

2021
01:31:33,070 --> 01:31:35,780
For decades, doctors
viewed LDL cholesterol

2022
01:31:35,781 --> 01:31:37,782
as the go-to marker for heart disease.

2023
01:31:37,783 --> 01:31:38,867
And obviously this was done

2024
01:31:38,868 --> 01:31:42,996
because your cholesterol
is massively high.

2025
01:31:42,997 --> 01:31:45,665
But today,
cardiologist can now see

2026
01:31:45,666 --> 01:31:47,459
a much clearer picture of your risk

2027
01:31:47,460 --> 01:31:49,294
with high resolution heart scans.

2028
01:31:49,295 --> 01:31:50,462
There's no calcium in there

2029
01:31:50,463 --> 01:31:52,339
and there's actually no plaque either.

2030
01:31:52,340 --> 01:31:53,590
You can see there's nothing.

2031
01:31:53,591 --> 01:31:54,841
Sure enough,

2032
01:31:54,842 --> 01:31:57,552
Dr. Jen Unwin has no detectable plaque.

2033
01:31:57,553 --> 01:31:59,846
Two negative calcium
scores five years apart

2034
01:31:59,847 --> 01:32:01,515
whilst continuing your current lifestyle,

2035
01:32:01,516 --> 01:32:05,894
with a cholesterol of 751
milligrams per deciliter,

2036
01:32:05,895 --> 01:32:08,104
and you've got no coronary artery disease.

2037
01:32:08,105 --> 01:32:09,397
So you don't need statins.

2038
01:32:09,398 --> 01:32:10,232
Thanks very much.

2039
01:32:10,233 --> 01:32:11,066
Alright.

2040
01:32:11,067 --> 01:32:11,900
Yep.

2041
01:32:11,901 --> 01:32:13,693
So it kind of flies in the face

2042
01:32:13,694 --> 01:32:15,654
of what you'd think should happen

2043
01:32:15,655 --> 01:32:18,073
and what the GP thought would happen.

2044
01:32:18,074 --> 01:32:19,449
Well, and the fact
that I've been doing this

2045
01:32:19,450 --> 01:32:22,035
for 10 years and there
are still no symptoms,

2046
01:32:22,036 --> 01:32:23,454
and I'm an older person,

2047
01:32:24,705 --> 01:32:26,748
I guess I'd take that as reassuring.

2048
01:32:30,419 --> 01:32:33,713
All those vessels look
really open and excellent,

2049
01:32:33,714 --> 01:32:35,924
lots of blood flow to
all of your heart here.

2050
01:32:35,925 --> 01:32:36,758
Right.

2051
01:32:36,759 --> 01:32:38,677
Despite what Nick
is learning in medical school

2052
01:32:38,678 --> 01:32:41,638
about the consequences
of high cholesterol,

2053
01:32:41,639 --> 01:32:43,306
his heart scan is clean.

2054
01:32:43,307 --> 01:32:47,602
My LDL has been over 500 for years

2055
01:32:47,603 --> 01:32:50,064
and my coronary arteries
are absolutely perfect.

2056
01:32:50,898 --> 01:32:52,148
I definitely think Nick is gonna help

2057
01:32:52,149 --> 01:32:53,316
with shifting the paradigm

2058
01:32:53,317 --> 01:32:56,486
because he has extremely
high levels of LDL.

2059
01:32:56,487 --> 01:32:57,862
He is getting scanned.

2060
01:32:57,863 --> 01:33:00,866
He's turning that around and
putting it into the literature.

2061
01:33:01,701 --> 01:33:05,328
I think nothing quite hits home for people

2062
01:33:05,329 --> 01:33:09,207
like other people who are
sharing their own experience

2063
01:33:09,208 --> 01:33:11,210
and especially their own data.

2064
01:33:14,380 --> 01:33:16,464
Johnny and his parents
finally found a doctor

2065
01:33:16,465 --> 01:33:19,467
who supports Keto for the
management of Type 1 diabetes.

2066
01:33:19,468 --> 01:33:22,929
The Type 1 diabetics
that manage their disease

2067
01:33:22,930 --> 01:33:26,182
with a low carb approach
or a Ketogenic approach,

2068
01:33:26,183 --> 01:33:29,102
in general, I've seen
faring significantly better

2069
01:33:29,103 --> 01:33:31,730
along every metric, every metric.

2070
01:33:31,731 --> 01:33:34,482
Dr. Bilal Mannan
is also keeping a close eye

2071
01:33:34,483 --> 01:33:35,859
on Johnny's heart.

2072
01:33:35,860 --> 01:33:39,070
We're just going through
slices of his heart

2073
01:33:39,071 --> 01:33:42,907
and we see that it's all completely clean.

2074
01:33:42,908 --> 01:33:47,412
I think it brings us a
little bit of, you know, peace

2075
01:33:47,413 --> 01:33:51,124
with the situation, just
knowing that his heart is okay

2076
01:33:51,125 --> 01:33:53,418
and we're just keeping an eye on it.

2077
01:33:57,465 --> 01:34:01,968
Okay, Robyn, so we're
gonna review here your CAC.

2078
01:34:01,969 --> 01:34:03,178
Adding back carbohydrates

2079
01:34:03,179 --> 01:34:04,971
brought down Robyn's cholesterol,

2080
01:34:04,972 --> 01:34:07,807
but it also brought back
her symptoms of Bipolar.

2081
01:34:07,808 --> 01:34:11,728
She's choosing instead to stay
Keto and monitor her heart.

2082
01:34:11,729 --> 01:34:14,773
And each of your arteries
are completely clean.

2083
01:34:14,774 --> 01:34:18,401
There's no evidence of any
calcified plaques there.

2084
01:34:18,402 --> 01:34:22,238
It was a huge relief to get that back.

2085
01:34:22,239 --> 01:34:23,531
And it's a zero.

2086
01:34:23,532 --> 01:34:25,033
There's nothing going on in there.

2087
01:34:25,034 --> 01:34:27,160
Nothing beats the physical detection

2088
01:34:27,161 --> 01:34:28,453
of the disease itself.

2089
01:34:28,454 --> 01:34:29,287
No.

2090
01:34:29,288 --> 01:34:31,039
If there was a medicine that was found

2091
01:34:31,040 --> 01:34:33,792
that would've helped me
with my Bipolar disorder,

2092
01:34:33,793 --> 01:34:36,211
I may not have ever gone down this path.

2093
01:34:36,212 --> 01:34:38,214
There wasn't one, and here I am.

2094
01:34:42,677 --> 01:34:44,719
If the CAC had been zero,

2095
01:34:44,720 --> 01:34:48,765
I wouldn't feel a need to
take lipid-lowering medicine.

2096
01:34:48,766 --> 01:34:50,475
But it wasn't zero.

2097
01:34:50,476 --> 01:34:52,352
Eric reversed suicidal depression

2098
01:34:52,353 --> 01:34:54,729
and metabolic syndrome with Keto,

2099
01:34:54,730 --> 01:34:56,773
but he fears that for many prior years,

2100
01:34:56,774 --> 01:34:59,234
his standard American diet caused damage.

2101
01:34:59,235 --> 01:35:03,113
Eric's coronary artery scan did
show moderate calcification.

2102
01:35:03,114 --> 01:35:06,282
And the doctors I talked
to said take the medicine,

2103
01:35:06,283 --> 01:35:09,703
and if you tolerate it,
it's hedging your bets.

2104
01:35:09,704 --> 01:35:11,746
You're doing everything
you can with lifestyle,

2105
01:35:11,747 --> 01:35:15,959
but let's hedge your bets and
lower your LDL a little bit.

2106
01:35:15,960 --> 01:35:19,754
And as long as it's asymptomatic
lowering, no side effects,

2107
01:35:19,755 --> 01:35:21,923
I'm good with that.

2108
01:35:21,924 --> 01:35:23,466
Eric plans to remain Keto

2109
01:35:23,467 --> 01:35:25,427
for his mental and metabolic health

2110
01:35:25,428 --> 01:35:27,095
and take cholesterol-lowering medication

2111
01:35:27,096 --> 01:35:29,013
for the foreseeable future.

2112
01:35:29,014 --> 01:35:30,640
Many experts in the low carb community

2113
01:35:30,641 --> 01:35:32,183
agree with this approach.

2114
01:35:32,184 --> 01:35:34,978
If they think they're a
Lean Mass Hyper Responder

2115
01:35:34,979 --> 01:35:37,689
and they have a lot of
plaque, you treat 'em.

2116
01:35:37,690 --> 01:35:39,190
In a non-healthy environment,

2117
01:35:39,191 --> 01:35:41,943
I think people still need to
be very cautious about LDL.

2118
01:35:41,944 --> 01:35:44,696
And for those patients who
have metabolic disease,

2119
01:35:44,697 --> 01:35:46,114
coronary artery disease,

2120
01:35:46,115 --> 01:35:48,116
I still believe that lowering LDL

2121
01:35:48,117 --> 01:35:51,911
is very important in that
context of heart disease

2122
01:35:51,912 --> 01:35:54,456
or a lack of metabolic health.

2123
01:35:54,457 --> 01:35:57,584
Almost every doctor we've
interviewed for this documentary

2124
01:35:57,585 --> 01:36:00,837
has a similar position to
Doctors Agatston and Budoff

2125
01:36:00,838 --> 01:36:02,797
for this exact situation.

2126
01:36:02,798 --> 01:36:04,841
They say if you have high LDL cholesterol

2127
01:36:04,842 --> 01:36:08,136
and poor metabolic health
or existing heart disease,

2128
01:36:08,137 --> 01:36:09,763
you may wanna consider taking steps

2129
01:36:09,764 --> 01:36:11,766
to lower your LDL cholesterol.

2130
01:36:12,641 --> 01:36:15,310
But they also agree
metabolic disease itself

2131
01:36:15,311 --> 01:36:18,396
is a far greater risk to heart health.

2132
01:36:18,397 --> 01:36:20,482
There's just no comparison.

2133
01:36:20,483 --> 01:36:23,693
We should look at a lot of
different things as doctors.

2134
01:36:23,694 --> 01:36:27,906
But if you back out metabolic syndrome

2135
01:36:27,907 --> 01:36:31,743
and you look at just cholesterol
in the absence of disease,

2136
01:36:31,744 --> 01:36:34,078
in the absence of family history,

2137
01:36:34,079 --> 01:36:37,040
it's like it almost doesn't matter.

2138
01:36:37,041 --> 01:36:38,666
And what about me?

2139
01:36:38,667 --> 01:36:40,543
Well, remember earlier when Dr. Budoff

2140
01:36:40,544 --> 01:36:41,961
showed this heart scan?

2141
01:36:41,962 --> 01:36:44,297
This is the left anterior descending.

2142
01:36:44,298 --> 01:36:48,009
Nice, smooth, big pipe
and no disease seen,

2143
01:36:48,010 --> 01:36:51,638
so this is a nice, clean study.

2144
01:36:51,639 --> 01:36:53,556
Yeah, that was me.

2145
01:36:53,557 --> 01:36:54,390
It's very simple.

2146
01:36:54,391 --> 01:36:56,643
If you have a patient who is
a Lean Mass Hyper Responder,

2147
01:36:56,644 --> 01:36:59,646
their LDL is very high,
just get a calcium score.

2148
01:36:59,647 --> 01:37:02,106
If the score is zero,
we have great evidence

2149
01:37:02,107 --> 01:37:04,025
that there's no short-term risk

2150
01:37:04,026 --> 01:37:06,069
to having high LDL cholesterol.

2151
01:37:06,070 --> 01:37:07,946
And you may be able to derive the benefits

2152
01:37:07,947 --> 01:37:10,073
of the Ketogenic diet

2153
01:37:10,074 --> 01:37:12,493
without the harms of the high cholesterol.

2154
01:37:19,834 --> 01:37:21,627
Wow, isn't it beautiful?

2155
01:37:23,212 --> 01:37:27,465
We are at the office of Dr. Bernstein.

2156
01:37:27,466 --> 01:37:29,050
Okay, give a little knock.

2157
01:37:29,051 --> 01:37:31,177
We can't wait to meet him.

2158
01:37:31,178 --> 01:37:32,887
One of you is Johnny.

2159
01:37:32,888 --> 01:37:34,514
- Yeah.
- Are you Johnny?

2160
01:37:34,515 --> 01:37:39,018
I wanna thank him for
all of his teachings,

2161
01:37:39,019 --> 01:37:43,106
my son's health, and for getting
us off the roller coaster

2162
01:37:43,107 --> 01:37:44,149
that we were on.

2163
01:37:45,526 --> 01:37:46,819
Thank you so much.

2164
01:37:47,903 --> 01:37:51,614
I have to tell you why I
feel such inspiration from him.

2165
01:37:51,615 --> 01:37:52,741
He was an engineer.

2166
01:37:54,660 --> 01:37:57,078
But the establishment
wasn't listening to him

2167
01:37:57,079 --> 01:37:58,705
until he became a doctor.

2168
01:37:58,706 --> 01:38:00,456
So he was willing to go the extra mile

2169
01:38:00,457 --> 01:38:02,041
to bring this solution

2170
01:38:02,042 --> 01:38:05,128
to so many amazing folks like yourself.

2171
01:38:05,129 --> 01:38:08,047
We're so incredibly honored to be here,

2172
01:38:08,048 --> 01:38:10,341
to be able to say thank you in person.

2173
01:38:10,342 --> 01:38:13,636
And so I hope

2174
01:38:13,637 --> 01:38:16,140
that I can bring the other
part of the solution.

2175
01:38:17,725 --> 01:38:21,060
It takes somebody with
completely fresh eyes,

2176
01:38:21,061 --> 01:38:23,438
but some scientific background,

2177
01:38:23,439 --> 01:38:26,107
in Dave's case, engineering,

2178
01:38:26,108 --> 01:38:28,569
that would take this, and run with it,

2179
01:38:29,403 --> 01:38:31,905
and not be influenced

2180
01:38:31,906 --> 01:38:35,533
by the more traditional medical community.

2181
01:38:35,534 --> 01:38:37,744
I would compare him to Richard Bernstein

2182
01:38:37,745 --> 01:38:40,413
because he was an engineer
who got into medicine,

2183
01:38:40,414 --> 01:38:41,497
had a new way of thinking,

2184
01:38:41,498 --> 01:38:44,293
to now running a major study,

2185
01:38:45,377 --> 01:38:48,797
and a very important study
that would never have happened

2186
01:38:50,090 --> 01:38:51,800
if his cholesterol hadn't gone up.

2187
01:38:52,760 --> 01:38:53,593
For decades,

2188
01:38:53,594 --> 01:38:55,720
modern medicine has
assumed high cholesterol

2189
01:38:55,721 --> 01:38:58,890
on a low carb diet is
dangerous for everyone.

2190
01:38:58,891 --> 01:39:01,768
Today, new data is
showing us that the story

2191
01:39:01,769 --> 01:39:04,437
is much more nuanced, offering new hope

2192
01:39:04,438 --> 01:39:07,357
to countless people who rely
on Keto for their health.

2193
01:39:07,358 --> 01:39:10,402
If they wanna do it, that's
smarter than not doing it.

2194
01:39:11,779 --> 01:39:14,405
I recommend being
healthier than not healthy.

2195
01:39:14,406 --> 01:39:18,409
For me, it was the difference
between having a life

2196
01:39:18,410 --> 01:39:19,661
and no quality of life,

2197
01:39:19,662 --> 01:39:22,538
from being able to pursue
a career in medicine

2198
01:39:22,539 --> 01:39:24,499
and not being able to
pursue a career in medicine.

2199
01:39:24,500 --> 01:39:27,835
People need to understand what they eat

2200
01:39:27,836 --> 01:39:30,338
affects everything in their body.

2201
01:39:30,339 --> 01:39:33,925
It's so hard in our
current food environment

2202
01:39:33,926 --> 01:39:36,135
to stay on this low carb journey.

2203
01:39:36,136 --> 01:39:37,845
So we need to all support each other,

2204
01:39:37,846 --> 01:39:39,555
have the right information.

2205
01:39:39,556 --> 01:39:44,311
I hope doctors won't tell their patients

2206
01:39:45,229 --> 01:39:48,231
who feel good for the
first time in 20 years

2207
01:39:48,232 --> 01:39:49,774
that they need to stop doing Keto

2208
01:39:49,775 --> 01:39:52,151
because their LDL is 20 points higher.

2209
01:39:52,152 --> 01:39:53,445
That's insane.

2210
01:39:54,363 --> 01:39:57,490
I've seen what a Ketogenic diet can do.

2211
01:39:57,491 --> 01:40:00,952
I want people to be given
this as an option initially

2212
01:40:00,953 --> 01:40:04,497
because it's hard to be hopeless.

2213
01:40:04,498 --> 01:40:06,457
I want that message to get out there.

2214
01:40:06,458 --> 01:40:07,458
Hi, everybody.

2215
01:40:07,459 --> 01:40:11,254
Welcome to (indistinct) success story.

2216
01:40:11,255 --> 01:40:12,755
People are now coming
out of the woodwork,

2217
01:40:12,756 --> 01:40:14,632
sharing their stories.

2218
01:40:14,633 --> 01:40:17,677
So, yeah, I think there's
a paradigm shift happening,

2219
01:40:17,678 --> 01:40:18,845
but we're at the very beginning of it,

2220
01:40:18,846 --> 01:40:21,014
and I can't wait to see what happens next

2221
01:40:21,015 --> 01:40:24,225
because the way this can
improve people's lives.

2222
01:40:24,226 --> 01:40:27,687
Truth-seeking is not just science.

2223
01:40:27,688 --> 01:40:29,523
It's actually a part of human nature.

2224
01:40:30,441 --> 01:40:31,983
And I'm thankful for how many people

2225
01:40:31,984 --> 01:40:34,152
have put in their own elbow grease

2226
01:40:34,153 --> 01:40:36,946
to just help us get to the answer.

2227
01:40:36,947 --> 01:40:39,365
Well, I'll take the side
of science every time.

2228
01:40:39,366 --> 01:40:41,492
That's where the data led you.

2229
01:40:41,493 --> 01:40:43,119
That's the answer the data gave us

2230
01:40:43,120 --> 01:40:45,705
and that's the answer
that I see in front of me.

2231
01:40:45,706 --> 01:40:47,206
And if we do another study

2232
01:40:47,207 --> 01:40:50,001
and, you know, can prove
something different

2233
01:40:50,002 --> 01:40:51,294
or supplement that,

2234
01:40:51,295 --> 01:40:53,588
then then the message
may change over time.

2235
01:40:53,589 --> 01:40:56,382
But that's gotta be led by
the science and the outcomes,

2236
01:40:56,383 --> 01:40:57,759
not by our personal beliefs.

2237
01:40:57,760 --> 01:41:00,845
And I think a lot of
times, even in medicine,

2238
01:41:00,846 --> 01:41:04,557
it's personal beliefs
that rule the moment,

2239
01:41:04,558 --> 01:41:07,561
and that might just be the
human flaw in all of this.

2240
01:41:10,689 --> 01:41:11,856
In the end,

2241
01:41:11,857 --> 01:41:14,108
no one can take ownership
of your health like you can.

2242
01:41:14,109 --> 01:41:14,984
You got this.

2243
01:41:21,533 --> 01:41:25,120
For me, that meant digging
deeper into the science.

2244
01:41:26,622 --> 01:41:29,624
And if there's anything I
can now say from experience,

2245
01:41:29,625 --> 01:41:32,877
it's that the science is never settled.