Dave Feldman Profile picture
Aug 21, 2019 6 tweets 3 min read Read on X
1/ I keep thinking about one exchange @ethanjweiss and I had on the #CholesterolScience broadcast... more so than any I've had in any prior interview before. I've cued it to the right timecode here:
2/ In this moment, we're talking about the finding of the 4S trial that @erreyedoc was mentioning (linked here). And in particular, we're talking about those with high LDL, high HDL, and low TG in the existing statin trial data would show a low risk group.
3/ I point out why I'm genuinely stunned this "positive" triad (and certainly one I'm focused on) hasn't garnered the attention of the medical community. Why wasn't there a push right there to better identify and understand if this specific group was being served by Rx treatment?
4/ @ethanjweiss correctly points out that the industry has no reason to shrink its market, which is understandable. That's not where my expectations are -- it's with the scientific community itself. We already had lots of studies on atherogenic dyslipidemia (⬇️HDL ⬆️TG ⬆️SDLDL)..
5/ Why wouldn't we have taken great interest on "reverse atherogenic dyslipidemia" where LDL is high, particularly in the wake of this post hoc study with 4S? To the best of my knowledge, we haven't seen another one since with any other drug trials.
6/ I hope @ethanjweiss is right in that data collection will require full transparency moving forward. I'm certainly interested in how all this applies to the triad of (⬆️LDL+⬆️HDL+⬇️TG).

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Dave Feldman

Dave Feldman Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @realDaveFeldman

Apr 14
🧵 My thoughts on the Baseline Piece of the Puzzle
-- That everyone keeps missing... 1/10

A week ago today the longitudinal paper for our KETO-CTA study dropped (jacc.org/doi/10.1016/j.…) and there's been a lot of positive feedback, but also critiques worth discussing. I'd like to zero in on the topic of NCPV and PAV change.

First and foremost, I’m looking to be respectful of lead author Dr. Adrian Soto-Mota (@AdrianSotoMota) and Principal Investigator Dr. Matthew Budoff (@BudoffMd) regarding the complexity and relevance the heterogeneity of the cohort with regard to our findings. The coming paper expanding on this for both classification and clinical use is already under submission for review.

However, waiting for the publication of the new paper seems very untenable given how long these things take and interest in discussing the overall change in NCPV and PAV for the KETO-CTA study.

This can be challenging on my end as I want to represent this study effectively. And that’s difficult right now when I not as versed to delve deeper into both the heterogeneity relevance statistics like Dr. Soto-Mota or the issues with looking to changes in NCPV or PAV at low baseline levels like Dr. Budoff.

However, here’s what I can speak to…

I can speak to my own personal challenges in looking to the change of NCPV and PAV overall and why this hasn’t made sense to me. Not from a standpoint of discouragement, such as — this makes the study look bad. No, I mean it actually doesn’t fit any model I’m aware of save present plaque being predictive of future plaque change.

Let me unpack what I’m talking about…

Our baseline scans from the study showed this was a low risk population. Again, if looking at this from a population level.

But then, we were able to do a match analysis with Miami Heart. Matching up age, sex, ethnicity and risk factors quite tightly, but with our cohort having an average LDL-C of 272 mg/dL, and the matched Miami Heart cohort having average LDL-C of 123 mg/dL. And what did we find? They were nearly identical. In fact, for the semi-quantitative data ours was trending slightly better. jacc.org/doi/10.1016/j.…Image
2/10 - Moreover, while unpublished, I was cleared to present a preliminary quantitative match analysis with Miami Heart last year at a conference. These would make use of Cleerly scan data for both our cohort and Miami Heart. So it had both overall plaque volume and non calcified plaque volume (NCPV).Image
3/10 - But even better, there was a subgroup analysis that excluded those taking cholesterol lowering medication on Miami Heart to match again with ours... Image
Read 10 tweets
May 21, 2023
1/🧵 If Plaque #ApoB-48 > #ApoB-100

Quite a rabbit hole so far...

First, let me say that data on this has been a bit limited. But *IF* we do ultimately confirm there are more ApoB-48 (B48) than ApoB-100 (B100) in ASCVD plaque, it would be a very big deal.

Let's unpack... Image
2/ First, thanks to @TuckerGoodrich for pinging me on these pubs and pressing the discussion.

But also credit to @CaloriesProper on tweeting this a couple years ago (I missed it then)

To understand why this would be so important if true, some review...
3/ B48 and B100s are the major proteins on chylomicrons (CMs) and VLDLs, respectively.

CMs mostly carry lipids from the small intestine to the bloodstream (lipids consumed), VLDL mostly carry lipids from storage; predominantly from adipose stores.

See full linages here 👇 Image
Read 10 tweets
Apr 14, 2023
1/ Chat on Triglyceride rich #LDL

#Me: Why would triglyceride rich LDL particles be more atherogenic than triglyceride poor LDL particles?

#ChatGPT: Triglyceride-rich LDL (low-density lipoprotein) particles are more atherogenic (i.e., more likely to contribute to the… twitter.com/i/web/status/1…
2/

#Me: Couldn’t it also be possible that triglyceride rich LDL are ultimately the result of metabolic dysfunction and that better explains its association with atherosclerosis?

#ChatGPT: Yes, that is also a possibility. Triglyceride-rich LDL particles are often associated… twitter.com/i/web/status/1…
3/

#Me: Is it possible that almost the entire amount of atherogenesis associated with high triglyceride rich LDL is due to dysfunctional lipid metabolism and the diseases that result in these profiles rather than the LDL particles themselves?

#ChatGPT: Yes, it is possible that… twitter.com/i/web/status/1…
Read 4 tweets
Apr 13, 2023
1/🧵 I'm definitely a fan of both @DominicDAgosti2 and @DrRagnar (obviously), so I was excited to see them chatting about #lipids, #LMHRs, and Dom's consideration of increasing carbs to lower his #ApoB

If no one minds, I'd like to add some thoughts...

2/ First -- I'm extremely excited to share @DominicDAgosti2 may be the most notable N=1 I've waited for regarding #ResistanceTraining change & #LDL/#ApoB in a #ketogenetic context

Those who've followed me for a while know exactly what I'm talking about...
3/ When chatting with Dom in SD last year for dinner, he mentioned focusing less on maintaining such a sizable muscle mass as he typically does, and I predicted he'd likely see his LDL/ApoB as considerably higher with this change if still #keto. This podcast appears to confirm...
Read 10 tweets
Mar 24, 2023
🧵Followup on #salt comment last night:

Took 3 readings of my blood pressure this morning:
113/78
106/68
98/74
Average: 106/73

Context:
- Male, 49
- Moderate exercise
- Moderate-high stress career
- Supp 6-10g of salt daily when #keto* to relieve fatigue, cramping (for >5 yrs)
2/ So everyone on #keto should be like me and take copious amounts of #salt?

Well, sorry, but the answer appears to be:
👉 Your results may vary.... a lot.

On the little-to-no salt side, check out @KetoCarnivore's recent discussion on this
3/ Also check out this short video answer in a Q&A from Steve Phinney regarding salt intake research
Read 5 tweets
Mar 23, 2023
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/
Read 25 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(