1/ Thank you for the invitation, @chadinabhan.

I've now listened to the episode and was a bit surprised at a few points, but also less so with others.

Cholesterol is a very emotionally charged topic, and understandably so...
2/ For me, this journey started 6 years ago with alarmingly high total and LDL cholesterol following my going on a ketogenic diet. I became obsessed with trying to understand why and begin reading everything I could on lipidology...
3/ I found through a series of experiments there was quite a bit of change I could induce based on dietary patterns. As I developed and executed this "citizen science" research, I turned it around back to the community to hopefully help us in advancing this important topic.
4/ Ex. -- probably the most talked about of these was my White Bread experiment (LDL 296->83 in 7 days) where I intentionally had a diet no one recommends to demonstrate it was more likely carbs v fat, not plant v meat, or nutritious v non-nutritious, etc. cholesterolcode.com/the-tandem-dro…
5/ This "metabolic influence of lipids" shouldn't be controversial, of course, there's plenty of literature looking it how metabolism has impacted lipids for decades. Not just with diet, but also with fasting as well.

(ie See my presentation )
6/ If you want a bit of a deeper dive on this #LipidEnergyModel we're working on, you can check out my presentation to Stanford here:

However, while the model may or may not explain why, does it matter if high LDL-C is of high risk regardless?
7/ It absolutely could be. When discussing risk where LDL-C may be higher due to VLDL-TG turnover (per the model), I often say I'm "cautiously optimistic". But those two words are meant to convey a leaning, not certainty.
8/ But a key part of this model in looking to the success or failure of VLDL-TG turnover is in whether it likewise results in higher HDL-C and lower triglycerides.

(I know that got a tiny bit technical, but it's relevant with regard to downstream influence on this lipid profile)
9/ The combination of these three together I call the "low carb lipid triad": High LDL-C, High HDL-C, and low triglycerides.

And this is an *extremely* common outcome, particularly for many seemingly metabolically healthy on keto.

10/ Conversely, both low HDL-C and high TG are already criteria for Metabolic Syndrome (MetSyn) and Atherogenic Dyslipidemia (AD), each of which are substantially associated with cardiovascular disease (CVD) risk.

Put another way, the LC triad as almost the opposite of AD.
11/ For me, the obvious next step is to look to existing data we have with this triad and see how strongly it associates with CVD.

Simply stated, do we see an association of high LDL with high CVD where there's absence of MetSyn/AD?

But this is where a lot of pushback starts...
12/ In spite of this case for looking to metabolic health and disease and how it impacts lipid profiles, many feel there's more then enough evidence where looking to LDL-C/ApoB in isolation, and that greater specificity is unnecessary. (I respectfully disagree.)
13/ Which is why this divide has emerged. So many in the low carb community would say, "Yes, of course metabolism has impacts on all these lipid levels, it just happened to me (or my brother, my mom, etc)." And thus, this interest toward metabolic causality makes a lot of sense..
14/ Conversely, many others who disagree are very adamant that these markers should be looked at piecemeal instead of together.

And when doing so, you can see an association with LDL and CVD -- and given this less specific approach, I'd agree.
15/ For example, this is a great study that @ethanjweiss tweeted recently which I really love given its very recent comprehensive review on adipocyte hypertrophy research.

Note these scatterplots looking to lipid levels, particularly with visceral fat.
16/ HDL goes down, TG and LDL go up. I'm sure most who research lipids would agree the changes in HDL and TG are more likely a consequence, and not a cause of this metabolically compromised state. (Which I agree with)

But why wouldn't we consider this of LDL as well?
17/ Many including Dr Dayspring point to how low HDL and high TG is typically a proxy for higher ApoB. And yes, it usually is (but not always).

But the fact this is usually case should be the very reason we have much more curiosity in examining its counterpart.
18/ To make a claim that A causes B, we need to likewise know that B does not cause A, or to what degree it does we can account for.

But we also need to confirm there isn't a C, D, E, F, etc that is causing both. (Which is where Bradford Hill comes in very useful)
18/ Again, this can be looked at in existing datasets.

We have so much available now with Framingham, Copenhagen, UK Biobank, etc -- and many of these are longitudinal.

We can not only look to the triad in these data, we could observe its outcome association over time.
19/ Unfortunately, the nuance I explained above is often lost, which is a big part of the problem.

Getting others to consider why metabolism influences lipid profiles and how this is relevant to atherosclerosis is actually much more challenging than I originally assumed...
20/ More commonly, my position is oversimplified to "LDL has nothing to do with heart disease" or some such. And then responses or arguments are returned in kind.

(In fact, I wouldn't be surprised if this thread is no different and likewise gets single lipid study responses)
21/ Fortunately, we're working really hard on a clinical trial with those have the most pronounced version of this triad, Lean Mass Hyper-responders. cholesterolcode.com/lmhr/ It's been taking a while to get into place, but we're currently in IRB and hope to be launching soon
22/ I hypothesize we'll see #LMHRs demonstrating a low progression of atherosclerosis at a population level in spite of having LDL in the top 3% (and consistent with FH levels). But I truly don't know and hope to help us get this data ASAP.
23/ If they do have low progression of atherosclerosis and it is ultimately agreed in time that #LMHRs are low risk (at a population level), then it could go a long way at advancing this distinction of metabolic context with regard to resulting lipid profiles and CVD.
Addendum— in rereading, I realized I didn’t actually link the study page itself.

Obligatory plug👇
citizensciencefoundation.org/campaigns/lean…

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More from @DaveKeto

24 Jun
1/ Ethan would like me to comment on whether I'd take a statin if I had a heart attack, which is commonly considered "secondary prevention"

I can't do that as I avoid discussing use of medication, except (ironically) in a few non-cholesterol Rx.

That said, a few things...
2/ First, I definitely DO NOT want anyone to interpret anything I've said as reflective of analysis with secondary prevention. I'm quite upfront that I prefer looking to lipid research with regard to so called, "primary prevention" (populations without prior heart attacks)...
3/ Second -- and as always -- I want everyone to work with your doctor. Yes, I do think your doctor needs to likewise work with you and your health goals, but this is a given.

If I had a heart attack, I'd definitely be working with my doctor and considering all the options...
Read 5 tweets
21 Jun
1/ #Thread - Hypothesis on why leanness + low carb likely to lead to high cholesterol

I originally retweeted this with a simple "yep" given how it this relates to the #LipidEnergyModel.

Many have asked me to expand, so this thread will be my simple, layperson-friendly breakdown
2/ Let's have some fun and use a relatable analogy...

Imagine you had exactly two kinds of stores in the neighborhood: bakeries and butcher shops.

You normally get groceries from both, but recently the bakeries were closed down, so now you just get meat only for meals...
3/ Now that the bakeries are down, there's more demand on the butcher shops, so they are having more inventory sent to them.

But then, the neighborhood increased while the number of butcher shops actually decreased, and this required an even higher rate of shipments to restock.
Read 11 tweets
19 Jun
1/ This would be a good opportunity to clear the air on a few things...

Per @DrNadolsky's tweet, we don't know everything we want to know about #atherosclerosis. Almost everyone would agree it is multifactorial, and most of Med would ascribe the central risk driver to LDL/ApoB..
2/ If you see your LDL rise on a #keto/#lchf diet and you're uncomfortable with this, here's a thread I made for that 👇

3/ In the mean time, @DrNadolsky, @DrRagnar and I are literally in the final stages of IRB (knock on wood) to get clinical data via CitizenScienceFoundation.org <obligatory plug>

Clinical data is almost always more valuable than anecdotal data (assuming good design, reputable team)..
Read 7 tweets
16 Jun
1/ This tweet below from @DBelardoMD brought a lot of interesting conversation.

I wasn't going to weigh in, but given I'm pretty vocal on this topic already, here are some respectful additions...
2/ First, I agree glucose going up and down -- in and of itself -- is not inherently a mechanism of concern.

The key questions of interest are by how much and for how long -- and from this, can we determine if there is a dysregulation?
3/ I was listening earlier in a Clubhouse chat to @Dr__Guess discuss her recent study and how "all over the map" glucose levels were for these T2D patients -- which is unsurprising given the nature of the disease.

Read 11 tweets
13 Jun
1/ #ListeningThread — actually didn’t know this, but @BioLayne has a podcast. I actually found it in reverse as I’ve been hunting down all things Hypertrophy - and they have a recent podcast with @YngvaiMalmsteve on the topic so I’ll give it a listen… open.spotify.com/episode/2tgWUE…
2/ @BioLayne “… if you torture the data enough, you can get it to show what you would like it to show.”

This is actually a variation I was one of my favorite quotes of all time.👇
3/ it’s also very prescient in its timing. I was actually just talking with @NutritionMadeS3 yesterday, and why I tend to be more interested in studies that work off open or shared data sets given the level of transparency in the statistical instruments being used…
Read 6 tweets
12 Jun
1/ Great question -- and an important one.

The majority of things I'd "take back" have more to do with my having a simplified version of certain concepts that I now much more about (and would present as such)

But I'll be hit up on those things that are more overtly incorrect...
2/ Probably the biggest is my originally saying "Low Density Lipoprotein's primary purpose" is to deliver fat for energy. I had meant it at the time as the class opposite HDL (thus, all ApoB). Sure, a few slides later I differentiate with VLDL, IDL, and LDL...
3/ But the more appropriate way to have stated the same thing would have been: "The primary purpose of ApoB-containing lipoproteins overall is to deliver fat-based energy."

However, I don't think I'd like this statement as much either given how ApoB impacts immune other mechs...
Read 7 tweets

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