Btbd8 deficiency reduces susceptibility to colitis by enhancing intestinal barrier function and suppressing inflammation
Bibliographic record
Abstract
Introduction BTBD8 has been identified as a susceptible gene for inflammatory bowel diseases (IBD). However, the function of BTBD8 in normal development and IBD pathogenesis remains unknown. Methods We administered drinking water with 3% dextran sodium sulfate (DSS) to wild-type (WT) and Btbd8 knockout (KO) mice for seven consecutive days to induce IBD. Subsequently, we further examined whether Btbd8 KO affects intestinal barrier and inflammation. Results We demonstrated that Btbd8 deficiency partially protects mice from DSS-induced IBD, even though no obvious phenotypes were observed in Btbd8 KO mice. Btbd8 deletion leads to strengthened tight junctions between intestinal epithelial cells, elevated intestinal stem cell activity, and enhanced mucus layer. All these three mechanisms work together to improve the intestinal barrier integrity in Btbd8 KO mice. In addition, Btbd8 deficiency mitigates inflammation by reducing the expression of IL-1β and IL-6 by macrophages. Discussion Our studies validate the crucial role of Btbd8 in IBD pathogenesis, and reveal that Btbd8 deficiency may ameliorate DSS-induced IBD through improving the intestinal barrier integrity, as well as suppressing inflammatory response mediated by macrophages. These findings suggest that Btbd8 could be a promising therapeutic target for the treatment of IBD.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".