Lipid Energy Model Published

We’re excited to announce the publication of the Lipid Energy Model in Metabolites.

The Lipid Energy Model (LEM) examines the phenomenon of rising cholesterol levels for those on low carbohydrate diets and how this may provide powerful insights into lipid metabolism overall.

The LEM provides a mechanistic explanation for:

  • The Lean Mass Hyper-Responder (LMHR) phenotype, characterized by the triad of high LDL (at or above 200 mg/dL), high HDL (at or above 80 mg/dL or above), and low triglycerides (at or below 70 mg/dL), as well as for
  • The phenomenon that LDL-C change on low-carbohydrate diets tends to associate inversely with BMI.

The LMHR phenotype and observation that leaner people with better metabolic health markers are possibly at greater likelihood for increases in LDL-C were described in our prior observational cohort study: https://doi.org/10.1093/cdn/nzab144.

We have also recently provided a particularly comprehensive clinical vignette of an LMHR: https://doi.org/10.3389/fendo.2022.830325

As a personal aside from the first and last authors (Nick Norwitz and Dave Feldman), while we’ve longed looked forward to this milestone, we wish to note that this is just the first of many. Interest in LMHR continues to grow, not only within the low-carb community, but within academic medicine. The publication of the LEM hypothesis paper is a landmark, not because it provides a comprehensive theory with rigorous support from human trials assessing the model, but because it presents a concrete hypothesis with direct and testable predictions.

It is our hope that the publication of the LEM paper (version 1.0) will encourage fellow researcher to help us test these ideas in interventional trials and, thereby, advance scientific knowledge regarding LMHR and, perhaps, human lipid metabolism more broadly.

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Cowgirl
Cowgirl
3 months ago

Thank you for the article. Very nice explanation.

Christy
Christy
9 days ago

Just listened to the Dr. Anthony Gustin podcast interviewing Dave Feldman. You mention a cholesterol/LMHR calculator during that interview but I cannot fin it here at your website. Could you point me in the right direction?

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