Hepatic cholesterol and bile acid metabolism and intestinal cholesterol absorption in scavenger receptor class B type I-deficient mice
Bibliographic record
Abstract
The scavenger receptor class B type I (SR-BI), which is expressed in the liver and intestine, plays a critical role in cholesterol metabolism in rodents. While hepatic SR-BI expression controls high density lipoprotein (HDL) cholesterol metabolism, intestinal SR-BI has been proposed to facilitate cholesterol absorption. To evaluate further the relevance of SR-BI in the enterohepatic circulation of cholesterol and bile salts, we studied biliary lipid secretion, hepatic sterol content and synthesis, bile acid metabolism, fecal neutral sterol excretion, and intestinal cholesterol absorption in SR-BI knockout mice. SR-BI deficiency selectively impaired biliary cholesterol secretion, without concomitant changes in either biliary bile acid or phospholipid secretion. Hepatic total and unesterified cholesterol contents were slightly increased in SR-BI-deficient mice, while sterol synthesis was not significantly changed. Bile acid pool size and composition, as well as fecal bile acid excretion, were not altered in SR-BI knockout mice. Intestinal cholesterol absorption was somewhat increased and fecal sterol excretion was slightly decreased in SR-BI knockout mice relative to controls. These findings establish the critical role of hepatic SR-BI expression in selectively controlling the utilization of HDL cholesterol for biliary secretion. In contrast, SR-BI expression is not essential for intestinal cholesterol absorption. —Mardones, P., V. Quiñones, L. Amigo, M. Moreno, J. F. Miquel, M. Schwarz, H. E. Miettinen, B. Trigatti, M. Krieger, S. VanPatten, D. E. Cohen, and A. Rigotti. Hepatic cholesterol and bile acid metabolism and intestinal cholesterol absorption in scavenger receptor class B type I-deficient mice.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".