Short chain fatty acid absorption in lean vs obese humans
Bibliographic record
Abstract
Short chain fatty acids (SCFA) produced during the colonic fermentation of dietary fiber may reduce risk for obesity and type 2 diabetes. Our objectives were to determine if fecal SCFA concentration and absorption differ and/or are correlated in lean and overweight/obese (OW) subjects. Lean (n=11) and OW (n=11) subjects were recruited. After completing a 3‐day diet record subjects provided a fresh fecal sample to measure SCFA concentration. Subjects then inserted a rectal dialysis bag filled with 10ml of SCFA solution for 30 min. The procedures were repeated after two weeks. Fecal SCFA was higher in OW than lean subjects (80±6 vs 56±6 mmol/kg, p=0.02). The rate of SCFA absorption was similar and proportional to the SCFA concentration in the dialysis bag in both groups. There was a significant positive correlation between the SCFA absorption and fecal SCFAs for the OW group (r 0.44, p=0.04), but not for the lean group (r −0.22, p= 0.33) (difference in slopes, p=0.03). Since SCFA absorption from the dialysis bag was concentration dependent in the groups, OW people may absorb more colonic SCFA from their own feces. Within the OW group, the positive correlation between SCFA absorption and fecal SCFA concentration may be a result of upregulation of transporter expression for ionic diffusion. This work was supported by a grant from the Canadian Institutes for Health Research .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".