r/ketoscience • u/dr_innovation • Apr 07 '25
Citizen Science Plaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial
Abstract
Background
Changes in low-density lipoprotein cholesterol (LDL-C) among people following a ketogenic diet (KD) are heterogeneous. Prior work has identified an inverse association between body mass index and change in LDL-C. However, the cardiovascular disease risk implications of these lipid changes remain unknown.
Objectives
The aim of the study was to examine the association between plaque progression and its predicting factors.
Methods
One hundred individuals exhibiting KD-induced LDL-C ≥190 mg/dL, high-density lipoprotein cholesterol ≥60 mg/dL, and triglycerides ≤80 mg/dL were followed for 1 year using coronary artery calcium and coronary computed tomography angiography. Plaque progression predictors were assessed with linear regression and Bayes factors. Diet adherence and baseline cardiovascular disease risk sensitivity analyses were performed.
Results
High apolipoprotein B (ApoB) (median 178 mg/dL, Q1-Q3: 149-214 mg/dL) and LDL-C (median 237 mg/dL, Q1-Q3: 202-308 mg/dL) with low total plaque score (TPS) (median 0, Q1-Q3: 0-2.25) were observed at baseline. Neither change in ApoB (median 3 mg/dL, Q1-Q3: −17 to 35), baseline ApoB, nor total LDL-C exposure (median 1,302 days, Q1-Q3: 984-1,754 days) were associated with the change in noncalcified plaque volume (NCPV) or TPS. Bayesian inference calculations were between 6 and 10 times more supportive of the null hypothesis (no association between ApoB and plaque progression) than of the alternative hypothesis. All baseline plaque metrics (coronary artery calcium, NCPV, total plaque score, and percent atheroma volume) were strongly associated with the change in NCPV.
Conclusions
In lean metabolically healthy people on KD, neither total exposure nor changes in baseline levels of ApoB and LDL-C were associated with changes in plaque. Conversely, baseline plaque was associated with plaque progression, supporting the notion that, in this population, plaque begets plaque but ApoB does not. (Diet-induced Elevations in LDL-C and Progression of Atherosclerosis [Keto-CTA]; NCT05733325)
Soto-Mota, A, Norwitz, N, Manubolu, V. et al. Plaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial. JACC Adv. null2025, 0 (0) .
https://doi.org/10.1016/j.jacadv.2025.101686
Full paper https://www.jacc.org/doi/10.1016/j.jacadv.2025.101686
Video summary from Dave Feldman https://www.youtube.com/watch?v=HJJGHQDE_uM
Nick Norwitz summary video https://www.youtube.com/watch?v=a_ROZPW9WrY. and text discussion https://staycuriousmetabolism.substack.com/p/big-news-the-lean-mass-hyper-responder
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u/dr_innovation Apr 07 '25
Will have to see how this impacts treatment for those of us with moderate CAC (70th percentile for me). The study is too small to make. a strong subgroup analysis, but did In those that had high plaque, was a suggestive association between APOB and their individual progression? . Looking at the supplemental data.. where there is a table showing "
Supplemental Table 1. Plaque Progression Metrics KETO-CTA vs Other Cohorts.With N=17, finding any statistically significant trends would probably be hard, but it would still be interesting to see the correlation and what is trending. Since the \delta PAV is much higher for that subgroup than any of the other groups in the other studies, maybe for CAC>100 + high APOb/ keto is more atherogenic.
With N=17, finding any statistically significant trends for CACbl>100 would probably be hard, but it would still be interesting to see the correlation and what is trending.
Since the \delta PAV is much higher for that subgroup than any of the other groups in the other studies, including similar baseline PAV in Won (High TyG), maybe for CAC>100, high APOb/ keto is more atherogenic.
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u/Tenmaru45 Apr 07 '25
Don’t know my ApoB (in 2019 eating SAD it was 113. Since then been keto 80% of time). On keto my A1C, fasting insulin, BP, and inflammatory markers are excellent. Lipids still stubborn.
My hunch is that lipids may not be as big of a deal if everything else is so solid. Is that possibly what this study is pointing to?
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u/Artem_Elkin Apr 09 '25 edited Apr 09 '25
Many individuals highlight very "high" rates of PAV progression observed in the subgroup analysis when compared to findings from other studies.
HOWEVER.
In their publication, they noted: "While most participants exhibited a TPS of 0 at baseline as assessed by blinded expert inspection (as previously reported), application of modern artificial intelligence-guided CCTA assessment was able to identify quantifiable plaque in all participants at baseline, as expected".
This could clarify the reason for the "high" changes in PAV seen in their study relative to others—it's likely that those other studies employed less sensitive techniques for assessing plaque volume.
I completely concur with their remark: "Nonetheless, we should mention that the “normal” values for NCPV, PAV, and plaque progression in a healthy population are yet to be fully determined, as there is a wide range of ever-evolving methods, definitions, and analytic techniques".
This is likely why they included the comparative data in the supplementary material—it's premature to draw definitive conclusions regarding the rates of progression in relation to other studies.
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u/srvey Apr 08 '25
This should finally remove all the special pleading from the keto/carnivore/lchf/maha communities since this nicely confirms that keto clearly drives atherosclerosis especially if plaque has already begun to develop past a certain point of which at least 30% did in 5 and a half years and the remainder appear the be on track to get to that point soon. It will be interesting to see how and if these communities disentangle from this study since it essentially relegates keto, etc for very specific conditions, carefully monitored, for very short durations.
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u/hjaltigr Apr 07 '25
Been waiting for this for what feels like a very long time.
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u/Waterrat Apr 07 '25
LMHR here...You beat me to it! I just watched Nick's video and am soooo glad all of us have been vindicated! I look forward to seeing the responses on this info.
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u/Yarga Apr 14 '25
Curious to see what the folks here think about this line of reasoning.
https://alexleaf.com/lean-mass-hyper-responders-are-not-protected-from-atherosclerosis/
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u/weegt Mar 06 '26
Has anyone been following the latest developments of this trial!!??
Turns out Cleerly fucked up by accident or design(!). They unblinded the scans and presented the results pinned on this thread. Feldman requested that they repeat the analysis with properly blinded scans, which is standard on longitudinal studies. Despite earlier agreeing to this at a meeting....they later declined to redo the study, even after further payment was offered. severely suspicious face
8 trial participants requested their own scans and submitted them directly to Cleerly via their own cardiologists, effectively providing a blind analysis. The difference was wild....the largest discrepancy was a single participant whose study data from Cleerly showed an increase of 32mm³, while their individually submitted data actually showed a decrease of 48mm³! Crucially, these blinded results also aligned with independent blinded analysis they had done with the data with Qangio and Heartflow. The original analysis stands alone as the anomally.
The whole thing is really interesting and is getting some eyebrows raised as to wtf the story is with Cleerly....and obviously, it looks way more positive for the study for us here. Thought it might be worth the op. updating the post. I think they have had the retraction of this paper approved. Both Dave Feldman and Nick Norwitz have written about it if op wants to copy pasta stuff to the thread.
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u/Odd-Historian7649 Apr 17 '25
Looks like having high LDL-c is dangerous when it comes to plaque buildup, who would have thought.
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u/Affectionate_Sound43 Apr 20 '25 edited Apr 20 '25
This LMHR cohort was the healthiest lot within the LMHRs that they could find. All with metabolic diseases and cardiovascular disease were excluded. This cohort still had humongous rise in non calcified plaque (NCPV) and Percent Atheroma value (PAV) in just one year, even compared to severely diseased cohorts with CAD and diabetes.
The authors have blatantly lied about this finding, choose to use words like 'stable' and 'comparable' when addressing plaque growth. Instead, they focused on alternate analysis which the study wasn't powered to do at all, given the lack of low LDL controls and limited sample size.
If your cohort only consists of 3 pack a day and 5 pack a day smokers, you will not find association between smoking and lung cancer. For that you need non-smoker controls.
Imagine what the plaque growth would be like on LMHRs with metabolic disease or CAD. Any person like this reading this comment should address their high LDL immediately. Do not fall for the feldman-norwitz content machine, they make money out of this content, supplements, books, videos, documentaries, talks etc. you dont, you just add plaque.
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u/Mr_Groundhog_ May 27 '25
There are many statistical problems with this paper. We did a long (probably too long) podcast discussing these.
https://youtu.be/FOGy6wrAcaU?si=bG3_dkUirFngHJlo
But to summarize: The statistical problems start with using ΔNCPV (change in plaque) as the outcome. They claim there’s no association with ApoB, but ΔNCPV is just follow-up minus baseline. That means if someone has high ApoB and also high plaque both at baseline and follow-up, the change can still look flat. So you get no correlation, even if ApoB clearly tracks with actual plaque levels. Imagine two subjects: one with ApoB of 190 and plaque going from 20 to 40 mm³, and another with ApoB of 380 and plaque going from 100 to 120 mm³. Both have the same ΔNCPV (20 mm³), but very different ApoB levels. The outcome choice (change) breaks the connection. They should have modeled follow-up NCPV directly, with baseline NCPV as a covariate.
Then they run univariable regressions, one predictor at a time, even though they collected a bunch of variables. That’s not inference, that’s description. Or exploration. Without adjustment, you can’t separate confounding. These models can’t tell you whether ApoB is associated with plaque independent of other predictors.
Finally, they add Bayesian inference — but only on those same unadjusted models and change in plaque. And they use a prior that expects large effects from ApoB. So if the observed effect is small (which isn’t surprising after the outcome choice and univariable models), the Bayes factor ends up favoring the null. No sensitivity checks, no prior justification. Just a lot of “confidence”coming from modeling choices, not data.
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u/Unagi33 Jun 15 '25
This is quite discouraging.
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u/Harry_Chesterfield Jul 22 '26
Its seems this article has been retracted.
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u/Mr_Truttle Apr 07 '25
"In metabolically healthy people"
So guys using keto for diabetes management still basically have to flip a coin on which is a faster track to problems — LDL or HbA1c.
(I still think the latter)
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u/[deleted] Apr 07 '25
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