Glutamine attenuates obstructive cholestasis in rats via farnesoid X receptor–mediated regulation of <i>Bsep</i> and <i>Mrp2</i>
Bibliographic record
Abstract
To investigate the protective effect of glutamine (Gln) against obstructive cholestasis in association with farnesoid X receptor (FXR) activation, an obstructive cholestasis model was established in male Sprague–Dawley rats by bile duct ligation (BDL). Serum biomarkers and hematoxylin plus eosin staining were used to identify the degree of hepatic injury in the rats with obstructive cholestasis after Gln treatment. Immunohistochemistry, real-time PCR, Western blot, cultured primary rat hepatocytes with FXR knockdown, and dual-luciferase reporter assay were performed to elucidate the mechanisms underlying Gln hepatoprotection. We found that Gln treatment protected against obstructive cholestasis induced by BDL through reducing hepatocyte injury. Upregulation of the hepatic efflux transporters small heterodimer partner (Shp), bile salt export pump (Bsep), and multidrug resistance–associated protein 2 (Mrp2), and inhibition of the hepatic uptake transporter Na+/taurocholate cotransporting polypeptide (Ntcp) and the bile acid synthesis enzyme cholesterol 7α-hydroxylase (Cyp7a1) expression were observed in rats with BDL treated with Gln in vivo. Furthermore, the regulatory effect of Gln on Bsep and Mrp2 expression was abrogated after FXR knockdown in rat primary cultured hepatocytes. Luciferase assay HepG2 cells also illustrated FXR was a direct target for Gln treatment. In conclusion, the regulation of Bsep and Mrp2 expression mediated by FXR might be an important mechanism for Gln against obstructive cholestasis.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".