Monthly episodes discussing this topic, 2020-01 to 2026-08.
The people on the most episodes about this topic over the trailing three months, excluding their own shows — ordered by VoiceRank, their score across the whole corpus. The chart tracks each one’s episodes month by month.
Positions people took on this topic in transcripts, grouped by school of thought. Within a camp, people with demonstrated expertise on the topic come first, then those who reached the most listeners on it. Every quote links to the episode it came from.
ApoB particle count or LDL particle number is the most accurate and essential metric for determining and managing cardiovascular risk.
6 people · 6 episodes
LDL cholesterol particle number serves as the primary driver of atherosclerosis, and lowering it is the essential strategy for preventing the disease.
“Once apo particles are not cleared there's only one other option for them they have to invade an artery wall. So it's the Apo B concentration and they deliver cholesterol and that explains aogenesis”
The Peter Attia Drive · Jun 2026 · 8 episodes · 576K views on this topicApoB particle count is a more accurate metric for assessing cardiovascular risk than LDL cholesterol or HDL cholesterol.
“most people think it's an NMR measurement which it absolutely is not basically if you want that metric and we've already announced I do work for true health diagnostics I was working with a different lab before that the lab that actually did the development of the LP little a april-b assay”
The Peter Attia Drive · Jan 2020 · 4 episodes · 76K views on this topicApoB particle concentration is a more accurate predictor of cardiovascular risk than LDL cholesterol.
“a better way to predict risk is to add up the concentration of all the apob particles”
FoundMyFitness · Dec 2023 · 20 episodes · 2.2M views on this topicApoB is a superior metric compared to routine lipid panels for determining cardiovascular risk.
“there's no question that the number of LDL particles is a more accurate index of risk than the LDL cholesterol”
The Peter Attia Drive · Oct 2022 · 2 episodes · 461K views on this topicLDL particle number is a superior biomarker to LDL cholesterol for managing cardiovascular risk.
“In that case, it's very clear that LDLP or APOB is a better biomarker because a lot of people who achieve very low LDL cholesterol have not achieved equally very low LDL particles or APOB and they therefore with visibility to that would be candidates for more aggressive LDL lowering.”
The Peter Attia Drive · Aug 2026 · 1 episode · 20K views on this topicCholesterol levels should be interpreted within the context of overall energy metabolism and individual metabolic health.
3 people · 3 episodes
He argues that while LDL is necessary for atherosclerosis, its role is contextual and should not be managed in isolation without considering overall metabolic health.
“I still think Applebe is quote causal, but that doesn't mean it's most important. It's the same with terms like evidence-based, quote unquote, and you know, best medicine.”
Danny Jones · Sep 2025 · 1 episode · 173K views on this topicLipoprotein levels are primarily influenced by energy metabolism and the body's need to transport fatty acids.
“I feel as if I've come across enough with my own mapping of my own metabolism that I found how I can move LDL cholesterol and LDL particle count up and down without medication or supplements by finding what I believe to be the primary influencer which is the energy metabolism”
The Peter Attia Drive · Jan 2020 · 1 episode · 15K views on this topicThe consumption of saturated fat in a diet that restricts carbohydrates does not lead to the accumulation of harmful fats in the body.
“this example of what happens when you consume saturated fat in the matrix of a diet that includes carbohydrate restriction is so against that long worn out idea of you are what you eat”
The Peter Attia Drive · May 2021 · 1 episode · 199K views on this topicPositions are extracted from transcripts by a model and may misattribute who said what. Every quote links to the episode it came from.
Includes episodes tagged with a narrower subject — each is marked with the subject it came in through.
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