Let’s Be Clear about Expected Cardiovascular Risk: A Commentary on the Massive Rise in LDL Cholesterol Induced by Carbohydrate Restriction in the Proposed “Lean Mass Hyper-Responder” Phenotype
Bibliographic record
Abstract
Dear Editor: I have read the accepted manuscript “Elevated LDL cholesterol with a carbohydrate-restricted diet: evidence for a ‘lean mass hyper-responder phenotype’,” which reports the results of a web-based survey looking at the interaction of carbohydrate restriction, BMI, baseline lipid markers, and changes in LDL cholesterol (1). The purported objective of the paper was to “elucidate possible sources of heterogeneity in LDL cholesterol response to a carbohydrate restricted diet and thereby identify individuals who may be at risk of LDL cholesterol elevation.” The paper describes an interesting observation that the lean mass hyper-responder phenotype (LMHR) had a lower BMI and a lower baseline triglyceride (TG) to HDL cholesterol ratio, and that this was associated with an extreme rise in LDL cholesterol (mean of 143 mg/dL, or 3.7 mmol/L) after exposure to a carbohydrate-restricted diet (CRD). I commend the authors for defining this phenotype because it could help patients and clinicians predict when a marked rise in LDL cholesterol might occur in the context of a CRD. The small case series also reveals preliminary evidence that reintroducing a modest amount of carbohydrate could mitigate this concerning LDL cholesterol response. The phenotype of the LMHR is an interesting scientific observation. I hope the authors will consider doing a prospective study using a validated dietary survey in a broader population with secure methods of data collection to increase confidence in the prevalence of this phenotype. I also hope they might collaborate with lipid scientists to understand the underlying genetic, environmental, and physiological mechanism of the LMHR phenotype, which could potentially contribute to our understanding of cardiovascular disease. A concern of mine is that clinicians and patients reading this article are left with an impression of the safety of elevated LDL cholesterol as well as the LMHR phenotype. Rather than focusing on the objective, a significant portion of the paper's discussion is on the notion of atherogenic dyslipidemia (a known cardiovascular risk factor) without making it clear to the reader that there is broad consensus that LDL cholesterol (and more specifically apoB-containing lipoproteins) is in and of itself a firmly established cause of atherosclerotic cardiovascular disease (2). It thus follows that with all other cardiovascular risks being equal, the null hypothesis is that the higher the apoB, the higher the cardiovascular risk. Authors build upon their case questioning the role of LDL cholesterol in cardiac disease by referencing the sodium-glucose cotransporter-2 (SGLT2) inhibitors, the cardioprotective class of diabetes medication, which increase LDL cholesterol. They unfortunately do not clarify that the LDL cholesterol rise with SGLT2 inhibitors is minimal. For instance, in the landmark EMPA-REG trial, which evaluated the cardiovascular safety of the SGLT2 inhibitor empagliflozin in patients with type 2 diabetes, there was an increase of LDL cholesterol of 1 to 5 mg/dL depending on the time point and dose of the medication (3), which is clearly quite different compared with the dramatic increase in LDL cholesterol seen in the LMHR phenotype. The authors also do not include randomized controlled trial data revealing that in young, lean women, a CRD led to a deleterious lipid profile with a marked increase in apoB including small dense LDL particles, which is contrary to the thrust of evidence provided by the authors in their discussion (4). It needs to be highlighted that the LMHR phenotype described in this paper has extremely high levels of LDL cholesterol (mean of 316 mg/dL, or 8.17 mmol/L) similar to LDL cholesterol levels found in familial hypercholesterolemia, which is a population known for their marked increased risk of vascular events (5). The American Heart Association/American College of Cardiology guidelines state that an LDL cholesterol concentration >4.9 mmol/L (>190 mg/dL) broadly captures a high-risk population for cardiac events and offers the highest recommendation (Class 1) for initiation of cholesterol-lowering therapy (6). In the setting of heterozygous familial hypercholesterolemia there is heterogeneous risk (7) and thus we could find the LMHR phenotype, based on yet to be determined mechanisms, has higher or lower risk than expected; however, to make confident claims on the cardiovascular safety of a ketogenic diet that markedly raises LDL cholesterol, one would need to perform a randomized control trial, which based on the strength of available evidence would have difficulty getting approved by an ethics board. The authors concerningly conclude: “These data suggest that, in contrast to the typical pattern of dyslipidemia, greater LDL cholesterol elevation on a CRD tends to occur in the context of otherwise low cardiometabolic risk.” The perhaps unintended message of this paper, based on the logic of the discussion and the ensuing conclusion, could be that astronomical changes of LDL cholesterol can be safe in the context of low TG and high HDL. This message could lead to harm by negatively affecting a patient's perception of risk or a clinician's judgment. Author disclosures: The author receives consulting fees from Diet Doctor, a website that provides educational material to support people eating a low-carbohydrate diet. He also receives consulting and speaker fees from Novo Nordisk, a pharmaceutical company. He is an expert advisor for the charity, Institute for Personalized Therapeutic Nutrition, which is involved in research as well as education around the use of nutrition for chronic disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.093 | 0.111 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".