Comparison of Bacterial Composition, Concentration, and Metabolism of Short Chain Fatty Acid in Inflammatory Bowel Disease:A Systematic Review
Bibliographic record
Abstract
Inflammatory bowel disease (IBD), which consists of Crohn's disease (CD) and ulcerative colitis (UC), is a chronic inflammatory disorder of the intestine. The etiology is heterogeneous and multifactorial, including genetic susceptibility, immune-mediated tissue damage, and changes of lumen microenvironment, especially short-chain fatty acid (SCFA) producing bacteria. Several studies reported a decrease in SCFA concentration in both CD and UC. In fact, SCFAs has important roles in accelerating disease remission. This systematic review aimed to evaluate the changes in SCFA concentration, the composition of SCFA-producing bacteria, and SCFA metabolism in IBD. A literature search was conducted via PubMed, Scopus, and CENTRAL by selecting studies according to inclusion and exclusion criteria. The quality and risk of bias assessment were performed using the Newcastle-Ottawa Scale (NOS). Overall, 160 UC and 127 CD patients from 5 studies were reviewed. The SCFA concentration was significantly reduced (p <0.05) in both PC and UC. Moreover, there was a decrease in major SCFA-producing bacteria. Clostridium coccoides were significantly decreased in the feces of active UC (p = 0.015) and CD (p = 0.04). Clostridium leptum was decreased on intestinal mucosal biopsy of active CD and UC (p <0.0001). Faecalibacterium prausnitzii were decreased in active CD faeces (p <0.0001) and UC (p = 0.0001). Butyrate oxidation rate was also reported to decrease in UC compared to control (p<0.0001). In conclusion, the ability of major SCFA-producing bacterial production in IBD was diminished, which implies a decreased protective and anti-inflammatory effect of SCFA that altered its metabolism.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.008 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".