Systematic investigation of the relationships of trimethylamine <i>N</i> -oxide and <scp>l</scp> -carnitine with obesity in both humans and rodents
Bibliographic record
Abstract
Previous studies suggested the potential associations of trimethylamine N-oxide (TMAO) and its metabolic precursor l-carnitine with obesity. However, existing evidence is limited and inconsistent. In the present study, we perform a cross-sectional analysis of the associations of serum levels of TMAO and l-carnitine with obesity measures, including BMI, body fat distribution and body composition in 1081 participants from the general Newfoundland population. The dietary effects of TMAO and l-carnitine in preventing high fat diet-induced obesity in both male and female mice were also evaluated. We found significant associations between higher serum l-carnitine levels and obesity (higher BMI, body fat mass and VT%) in women, but not in men after controlling multiple confounding factors. Serum TMAO levels were positively associated with age, but not obesity in both men and women. Dietary TMAO had no influence on fat accumulation in high fat diet-fed mice. However, l-carnitine supplementation prevented high fat diet-fed induced obesity in both male and female mice by up-regulating lipolysis and down-regulating lipogenesis in white adipose tissues. The present study provides further evidence for the relationships between TMAO, l-carnitine and obesity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".