#19 - Dave Feldman: stress testing the lipid energy model

In this episode, Dave Feldman, discusses his journey from software engineer to n=1 experimenter, his experience with low-carbohydrate diets, and his hypothesis that cholesterol levels are influenced by energy metabolism. We discuss: • Peter’s synthesis of Dave’s energy model [ 5:00 • ]; • Dave’s journey from software engineer to cholesterol enthusiast [ 15:00 • ]; • Standard blood panels, sterol panels, and what moves the needle when it comes to particle numbers [ 18:30 • ]; • Hyper-responders [ 20:00 • ]; • Lipoprotein transport [33:45]; • The lean mass hyper-responder phenotype [47:30]; • The progression of atherosclerosis, CAC, and CIMT [52:30]; • Testing for oxidized LDL [55:30]; • All-cause mortality and clinical endpoints [1:01:15]; • What does “LDL as causal” mean? [1:05:15]; • Dave’s low carb cholesterol challenge and drug & genetic study qualifications [1:13:15]; • If all other markers are in an healthy range, but LDL-P is high, is the patient at risk? A couple of case studies, and a self-experiment [1:27:30]; • Peter’s three-day exercise and ketosis experiment [ 1:41:00 • ]; • What are remnant lipoproteins? [ 1:45:00 • ]; • What might cause lean mass hyper-responders to have higher LDL particle numbers? [1:53:30]; • A case study from Dave of a lean mass hyper-responder [1:56:30]; • Mass balance and cholesterol flux [2:05:30]; • Can a higher degree of cholesterol explain the lean mass hyper-responder phenotype? [ 2:10:00 • ]; • Peter’s LDL during his keto-fast-keto experiment [2:13:30]; • Does substituting saturated fats with monounsaturated fats lower LDL-P and LDL-C? [2:15:45]; • Dave’s carb-swap experiments [2:22:15]; • Dave’s carotid intima-media thickness tests [2:41:15]; • Looking for studies that stratify for high HDL-C and low TG alongside low and high LDL-C [ 2:53:00 • ]; and • More Learn more at www.PeterAttiaMD.com Connect with Peter on Facebook | Twitter | Instagram.

Release date

Lydbog: 8. oktober 2018