Dave Feldman Profile picture
Mar 23 25 tweets 10 min read
1/ #Metabolism, #lipids, and #ASCVD
#megathread🧵🧵🧵

Okay, I want to revisit and breakdown my position on this crucial topic and the challenges in communicating it.

⚠️ Get comfortable, as this could get long.

Ready? Let's go...
2/ First, it's worth reviewing why there's a high level of confidence low density lipoproteins (LDLs) drive atherosclerotic cardiovascular disease (ASCVD)

For an excellent, lay-person video, I recommend @NutritionMadeS3's from a couple years ago 👇

3/ Also in the name of arguably the most cited meta-analysis for the Lipid Hypothesis to date:

"Low-density Lipoproteins cause atherosclerotic cardiovascular disease"

This meta combines lines from genetic, observational, and interventional studies.

pubmed.ncbi.nlm.nih.gov/28444290/
4/ Now if you've followed me through the years, you know I regularly and often emphasize that...

... It's possible:
1) Lipid Hypothesis could be completely correct.
... and ...
2) #LowCarb diets with high LDL could be dangerous

Hence freq reminders 👇

5/ So everything I discuss next is strictly under the umbrella of a hypothesis and shouldn't be taken as medical advice in any way. Sound good?

Okay – let's talk about ***Metabolism***

I know, I know, you hear the term all day long on #NutritionTwitter. But what is it, really?
6/ For a simple answer, metabolism is the balance ⚖️ between...

🧱 "anabolism" (the building up of things) and

💥"catabolism" (the breaking down of things)

And the "things" we're especially interested in is protein and energy (fat and carbs)
7/ But I should expand on this a tiny bit more.

Metabolism isn't just the balance between these two modes, it's how good a body is at doing each of them...

... particularly with fuel. ⛽️⛽️⛽️

How good you are at putting fuel away and getting it back out again is very important
8/ So what does this have to do with lipids, particularly LDL?

Quite a lot, actually. Bear with me...

I'd like to pull out a great graphic from @theproof's recent podcast that combines a number of "risk factors" (left), "Metabolic Syndrome", and "Associated Disease" (right).
9/ Okay... for those who don't know, what the heck is "Metabolic Syndrome"?

For this, I'll just post #ChatGPT's reply. 👇

But in short, it's at least 3 of the following:
-Abdominal obesity
-high glucose
-high blood pressure
-high triglycerides (TG)
-low HDL cholesterol (HDL)
10/ Now hold it! 🛑 See those 5 criteria above?...

I've changed them. All of them. Plenty of times.

For example, 5 years ago I did the "White Bread and Processed Meat Experiment" (cholesterolcode.com/the-tandem-dro…)

In 7 days my:
HDL-C changed 55 ➡️ 38
and TG change 78 ➡️ 221
11/ Let me restate this for emphasis...

A 31% (!) HDL drop from 55 to 38 mg/dL meets one of the criteria for Metabolic Syndrome

A rise of 183%(!) for triglycerides likewise meets another.

But this is just some wonky, acute exercise, right?
12/ Sure -- let's assume it is just a short term experiment and that my numbers will return in a matter of days to where they were on #keto.

That's not a reason to ignore this data, it's the exact opposite!

We need to look to short and long term metabolic influence on lipids...
13/ I'm demonstrating a state associated with chronic disease
***without the actual chronic disease***.

I'm intentionally inducing a state of elevated insulin (through constant consumption of white bread) resulting in many of the downstream characteristics of Metabolic Syndrome
14/ So returning to that graph, we understandably should ask -- how much of these risk factors are causing Metabolic Syndrome...

... vs Metabolic Syndrome causing these risk factors?
15/ Importantly, the more severe one's Metabolic Syndrome, the more they will also have:
Higher oxLDL
Higher "small dense" LDL
Less "big fluffy" LDL

@theproof -- with these too 👆 I strongly posit atherogenicity is less about independent causality than a reflection of the status
16/ I appreciate that there's now more focus on the actual composition of the lipoproteins themselves, such as the level of triglyceride (TG) on LDLs.

The cargo on LDLs is like a manifest. It can help tell the story about what happened to the vehicle in its preceding stages.
17/ 🤓🤓🤓 [[[GEEK ASIDE: and for more detail on this, check out the interplay between CETP and lipoprotein lipase in their ultimate downstream effect on LDL composition. I'll again predict that same sized LDL between MetS vs LMHRs will have very different TG-CE composition]]]
18/ I realize there's enormous confidence that these various markers can be looked at in isolation and quantified for their independent contribution (or lack of) to plaque development (particularly ApoB).

I don't share that level of confidence, and posit metabolism is relevant.
19/ But until recently, there was no realistic scenario where we could get folks without some form of dysfunction in lipid metabolism (either via genetics, like monogenetic FH or acquired like MetS) with high LDL but low CVD risk factors otherwise.

Until #LMHRs, ofc...
20/ I posit the vast majority of this phenotype, #LMHRs (LDL ≥ 200, HDL ≥ 80, TG ≤ 70 -- see our papers, CholesterolCode.com/papers) are likely to present functional lipid metabolism, but more study is needed.

Regardless, they provide a truly unique opportunity to examine risk.
21/ If LDL (and ApoB) are independently atherogenic, then they are in very serious danger given their levels are in the very top 99% of the general population (>200 mg/dL) with some even in the top 99.9%.

Hence our longitudinal CCTA study w/ Lundquist (CitizenScienceFoundation.org/study)
22/ To reiterate what I said earlier, I know this conversation is a limited one because I've been having it for over 7 years.

Some folks see my experiments and/or my model and just "get" it -- or at least start asking the metabolic questions. (btw, @khurramn1 was most recent)
23/ But for most, the causal chain model is attractive because it's easy to understand. One Lipoprotein To Rule Them All (is it ApoB? LDL? oxLDL? Glycated LDL? Small dense LDL? etc)

Discussing how all these can also be downstream of a broken lipid metabolism is complicated...
24/ ..& If there's any one thing it's taken me too long to learn, it's that there's a powerful gravitational pull toward models that simplify both the problems and their solutions.

Thank you to everyone who's made it this far. Hopefully I kept it lay-friendly enough this time 😃

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More from @realDaveFeldman

Mar 12
Maybe. I hope so.

Let me just say a major problem with the #diet and #nutrition space is just how many sides seek to oversimplify these things.

And as unpopular as it is to say it, I think there's way too much focus of folks having extremely quick success as though it's common.
I know it's well intentioned.

But I also know many people in my own family who have struggled their whole lives to lose weight and assume if they don't have this near instant drop to their goal weight like <fill in the blank success story> then they are doing it all wrong...
... I can't tell you how many times I point out truly new, record-setting successes with people I know personally -- but it's their own record, their own health journey.

But they often can't see it because they hear they "won't be hungry anymore on <fill in blank diet>"...
Read 5 tweets
Mar 11
1/ My thoughts on #Satiety & @DietDoctor 🧵

If you've followed me a while, you know I try to avoid the "diet debates" (tho not always successfully)

However, I have been getting a high frequency of DMs/messages/calls regarding DD's new endeavor for a #lowcarb alternative
2/ Let me first start off by saying I don't think any diet is inherently superior to all others.

I *do* think the #lowcarb diet is under-utilized for populations that can uniquely benefit from it.

However, I also believe most of us have many more options than is often assumed.
3/ Moreover, I consider @DietDoctor's long history of providing a "one stop shop" platform for all things #lowcarb/#keto with high quality guides, videos, and tools to be without equal.

It made it extremely easy to refer everyone in DD's direction, particularly beginners.
Read 16 tweets
Mar 9
1/ Yes-- I've been meaning to literally do an entire talk on Simpson's Paradox because the concept is really quite simple.

Here's an example:
✅Hypothesis: higher body weight causes higher blood pressure.

💡If we only had scales and BP cuffs, we'd certainly see the relationship
2/ Let's further point out we could demonstrate it over three lines of evidence: observational (epi), interventional (Rx), and genetic (🧬)

Epi: When randomly grabbing a large population of Americans, we find those who generally weigh more generally have higher BP ✅
3/ Rx -- interventions that generally reduce weight, also generally reduce BP ✅

And lastly, 🧬 -- most genes that associate with lower weight will generally have lower BP ✅

Now obviously we have more advanced tools these days than weight scales and BP cuffs...
Read 7 tweets
Mar 5
1/4 "also is the LEM (Lipid Energy Model) mutually exclusive with high LDL being atherogenic?"

Yes and no.

Yes -- in that the two should be treated as separate questions. It may well be that LEM is true, yet high LDL is independently atherogenetic and vice versa.

However...
2/4 No -- in that it was actually metabolic dynamics having an impact on lipid profiles that led me down the road we're at now.

Function vs dysfunction (or successful regulation vs unsuccessful regulation) having an upstream impact on lipid levels should be strongly considered.
3/4 But currently, it is assumed these influences are either irrelevant or the impact known -- at least to the extent that it is commonly assumed high LDL is pathogenic in every context (hence, little need to prospectively study metabolically healthy populations with high LDL)
Read 4 tweets
Feb 7
1/ Got lots of pings on this one (including from @theproof)

But it's worth unpacking just how many variables are in play and why I obsess so much about controlling for them when the shifts are relatively small...
2/ If you're just tuning in, I've done over 50 experiments with many of them hypercontrolled (like below) where I literally eat to an exact meal plan with exact timing, have nearly identical exercise, and try to sync sleep schedule as best as possible. cholesterolcode.com/the-oxldl-repl…
3/ It's because I know there's already a lot of things that can alter lipid levels even in the very short term. Not just days, but *hours*.

Check out this prelim data where I was testing 6 times over each day. And these are the means of the last 3 days...
Read 12 tweets
Feb 2
1/2 Example 1:
🚬 Imagine if the average person from the moment they're born were taught to be 2 pack a day smoker.

⛔️ Now imagine a fraction were born into families that were 0 pack a day smokers.

Would we expect that latter group to have greater longevity than the former?
2/2 Example 2:
Now imagine most people averaged 100 #LDL cholesterol over their lifetime.

But a fraction were born with a genetic mutation that kept their average at 20.

Would we expect that latter group to have greater longevity?
If genetically low LDL/ApoB had universally a net benefit -- this would be strong evidence that indeed this particle is pathogenic -- which is to say, disease-causing overall (not just atherogenic)

But does existing genetic data support this hypothesis? Is there clear longevity?
Read 5 tweets

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