Butyrate enhances antibacterial effects while suppressing other features of alternative activation in IL-4-induced macrophages
Bibliographic record
Abstract
The short-chain fatty acid butyrate is produced by fermentation of dietary fiber by the intestinal microbiota; butyrate is the primary energy source of colonocytes and has immunomodulatory effects. Having shown that macrophages differentiated with IL-4 [M(IL-4)s] can suppress colitis, we hypothesized that butyrate would reinforce an M(IL-4) phenotype. Here, we show that in the presence of butyrate M(IL-4)s display reduced expression of their hallmark markers Arg1 and Ym1 and significantly suppressed LPS-induced nitric oxide, IL-12p40, and IL-10 production. Butyrate treatment likely altered the M(IL-4) phenotype via inhibition of histone deacetylation. Functionally, M(IL-4)s treated with butyrate showed increased phagocytosis and killing of bacteria, compared with M(IL-4) and this was not accompanied by enhanced proinflammatory cytokine production. Culture of regulatory T cells with M(IL-4)s and M(IL-4 + butyrate)s revealed that both macrophage subsets suppressed expression of the regulatory T-cell marker Foxp3. However, Tregs cocultured with M(IL-4 + butyrate) produced less IL-17A than Tregs cocultured with M(IL-4). These data illustrate the importance of butyrate, a microbial-derived metabolite, in the regulation of gut immunity: the demonstration that butyrate promotes phagocytosis in M(IL-4)s that can limit T-cell production of IL-17A reveals novel aspects of bacterial-host interaction in the regulation of intestinal homeostasis.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".