Loss of functional farnesoid X receptor increases atherosclerotic lesions in apolipoprotein E-deficient mice
Bibliographic record
Abstract
The farnesoid X receptor (FXR) is a bile acid-activated transcription factor that regulates the expression of genes critical for bile acid and lipid homeostasis. This study was undertaken to investigate the pathological consequences of the loss of FXR function on the risk and severity of atherosclerosis. For this purpose, FXR-deficient (FXR-/-) mice were crossed with apolipoprotein E-deficient (ApoE-/-) mice to generate FXR-/- ApoE-/- mice. Challenging these mice with a high-fat, high-cholesterol (HF/HC) diet resulted in reduced weight gain and decreased survival compared with wild-type, FXR-/-, and ApoE-/- mice. FXR-/- ApoE-/- mice also had the highest total plasma lipids and the most atherogenic lipoprotein profile. Livers from FXR-/- and FXR-/- ApoE-/- mice exhibited marked lipid accumulation, focal necrosis (accompanied by increased levels of plasma aspartate aminotransferase), and increased inflammatory gene expression. Measurement of en face lesion area of HF/HC-challenged mice revealed that although FXR-/- mice did not develop atherosclerosis, FXR-/- ApoE-/- mice had approximately double the lesion area compared with ApoE-/- mice. In conclusion, loss of FXR function is associated with decreased survival, increased severity of defects in lipid metabolism, and more extensive aortic plaque formation in a mouse model of atherosclerotic disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".