Trimethylamine N-oxide: not just red meat—egg yolk and renal function are also important
Bibliographic record
Abstract
This commentary refers to ‘The red and the white, and the difference it makes’, by A. Davies and T.F. Lüscher, 2019;40:595–597. In their editorial about trimethylamine N-oxide (TMAO), Davies and Lüscher1 said that the study referred to ‘proves that red meat, through L-carnitine, is the major source of elevated TMAO plasma levels in a healthy Western population’. That statement ignores the major contribution of egg yolk to TMAO production, from phosphatidylcholine. The yolks of two large (65 g) eggs contain 474 mg of cholesterol and 320 mg of phosphatidylcholine, i.e., more cholesterol and as much TMAO precursor as a Hardee’s Monster Thickburger, a 12-ounce beef burger. There is a linear dose response of plasma TMAO with egg consumption; two eggs more than double levels of TMAO. In patients referred for coronary angiography, Tang et al.2 measured plasma TMAO after a test dose of two hard-boiled eggs, and found that patients in the highest quartile of TMAO had a 2.5-fold increase in the 3-year risk of stroke, myocardial infarction, or vascular death. Patients with severe atherosclerosis not explained by traditional risk factors (unexplained atherosclerosis) had significantly higher levels of TMAO, P-cresylsulfate, p-cresyl glucuronide, and phenylacetylglutamine than patients with high levels of risk factors and little/no carotid plaque (protected phenotype), despite no differences in dietary intake of TMAO precursors and no difference in renal function.3 In backward linear regression, both TMAO and p-cresylsulfate were significant predictors of carotid plaque, and more significant than sex, diastolic blood pressure, total cholesterol, and diabetes mellitus.3 This suggests that approaches such as repopulation of the intestinal microbiome may be a way to treat atherosclerosis. High levels of TMAO accelerate decline in renal function, and increase mortality in patients with severe renal disease. However, we found that plasma levels of TMAO and six other intestinal metabolites were significantly elevated by even mild renal impairment; an estimated glomerular filtration rate (eGFR) <66 mL/min/1.73 m2.4 Renal function declines with age; above age 80 the mean eGFR among patients referred to our stroke prevention clinics was <60 mL/min/1.73 m2. Thus, patients with impaired renal function, including the elderly, should not only limit intake of red meat, but should also avoid egg yolk. Egg whites and egg white-based substitutes can be used instead to make delicious omelettes, frittatas, and egg salad sandwiches. Conflict of interest: none declared.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.026 | 0.017 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".