Bile acid–induced metabolic changes in the colon promote Enterobacteriaceae expansion and associate with dysbiosis in Crohn’s disease
Bibliographic record
Abstract
Bile acids (BAs) affect the growth of potentially pathogenic commensals, including those from the Enterobacteriaceae family, which are frequently overrepresented in inflammatory bowel disease (IBD). BAs are normally reabsorbed in the ileum for recycling and are often increased in the colonic lumina of patients with IBD, including those with Crohn’s disease (CD). Here, we investigated the influence of BAs on gut colonization by Enterobacteriaceae. We found increased abundance of Enterobacteriaceae in the colonic mucosae of patients with CD with a concomitant decrease in the transporters that resorb BAs in the ileum. The increase in Enterobacteriaceae colonization was greater in the colons of patients who had undergone terminal ileum resection compared with those with intact ileum, leading us to hypothesize that BAs promote intestinal colonization by Enterobacteriaceae. Exposure of human colonic epithelial cell lines to BAs reduced mitochondrial respiration, increased oxygen availability, and enhanced the epithelial adherence of several Enterobacteriaceae members. In a publicly available human dataset, mucosal Enterobacteriaceae was negatively associated with the expression of genes related to mitochondrial function. In a murine model, increased intestinal BA availability enhanced colonization by Escherichia coli in a manner that depended on bacterial respiration. Together, our findings demonstrate that BAs reduce mitochondrial respiration in the colon, leading to an increase in oxygen availability that facilitates Enterobacteriaceae colonization. This identification of BAs as facilitators of host-commensal interactions may be relevant to multiple intestinal diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".