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Episode 167: Nicholas Norwitz discusses a ketogenic diet as metabolic medicine

STEM-Talk

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Precision in Predicting LDL Change

The speaker discusses the limitations of using BMI as a predictor for LDL change and suggests that including subcutaneous fat, visceral fat, lean body mass, and other features in the analysis could improve the precision of the model. They mention the need for resources to conduct a large-scale study on this topic. Adipose tissue contains roughly 25% of total body cholesterol, and the binding of LDL to adipocyte cell membranes is competitively inhibited by HDL.

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