Exercise training decreases gene expression of endo- and xeno-sensors in rat small intestine
Bibliographic record
Abstract
The purpose of the study was to test the hypothesis that gene expression of members of the nuclear receptor (NR) superfamily known to act as endo- and xeno-sensors is reduced in the ileum of exercise-trained (Tr) rats. Healthy female rats were either treadmill-trained for 8 weeks, 5 times/week, or remained sedentary (Sed). Training resulted in a significant (p < 0.05) decrease in plasma free fatty acid (0.18 ± 0.01 to 0.15 ± 0.01 mmol/L) and glycerol (24.8 ± 0.8 to 18.7 ± 0.8 mg/L) concentrations. Gene expressions of NRs farnesoid X receptor (FXR; p < 0.05), liver X receptor (LXR; p < 0.05), pregnane X receptor (PXR; p < 0.01), and retinoid X receptor (RXR; p < 0.06) were reduced in the ileum of Tr compared with Sed animals. Tr was also associated with a reduction (p < 0.05) in gene expression of FXR downstream heterodimeric organite solute transporters α (OSTα) and β (OSTβ) involved in the transport of bile acids, LXR downstream genes heterodimeric ATP-binding cassette transporters (ABCG5/G8) involved in transport of absorbed cholesterol back to the lumen, and Niemann-Pick C1-like 1 (NPC1L1) involved in cholesterol absorption. These data indicate that exercise training lowers the expression of molecules involved in the defense system of the ileum against endobiotic and xenobiotic insults under normal conditions, thus, suggesting that regular exercise contributes to the intestinal maintenance of cholesterol and bile acid homeostasis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".