Acarbose raises serum butyrate in human subjects withimpaired glucose tolerance
Bibliographic record
Abstract
The fermentation of starch in vitro produces a higher proportion of butyrate than the fermentation of most other substrates. The alpha-glucosidase inhibitor acarbose increases the amount of starch entering the colon, and has been shown to increase faecal butyrate in humans. It is generally considered that colonic butyrate is quantitatively removed by the colonic mucosa and liver and does not appear in peripheral blood. However, studies in animals suggest that a small proportion of colonic butyrate reaches peripheral blood. Thus, we hypothesised that an increase in colonic butyrate production would result in a rise in serum butyrate in human subjects. To test this, subjects with impaired glucose tolerance were randomly treated in a double-blind fashion with placebo (n 11) or acarbose (n 11) (100 mg three times per day). Serum short-chain fatty acid concentrations were measured twelve times over 12 h with subjects eating a standard diet before randomization and after 4 months of therapy. At baseline, 12 h mean serum butyrate concentrations were similar in the placebo and acarbose groups (2.8 (SE 0.7) and 3.3 (SE 0.6) microM, respectively). After 4 months on placebo, mean serum butyrate (2.6 (SE 0.5) microM) was no different from baseline. However, after 4 months on acarbose, serum butyrate had increased to 4.2 (SE 1.0) microM, a value which differed significantly from both the baseline value in the acarbose group and the treatment value in the placebo group. We conclude that acarbose increased serum butyrate in subjects with impaired glucose tolerance. These results support the hypothesis that increased colonic butyrate production in human subjects can be detected by an increase in serum butyrate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".