Liver fat accumulation may be dissociated from adiposity gain in ovariectomized rats
Bibliographic record
Abstract
OBJECTIVE: The purpose of the present study was to establish a model of rats prone and resistant to intra-abdominal fat accumulation in response to ovariectomy (Ovx-P and Ovx-R) and to determine its relationship with molecular biomarkers. DESIGN: Two experiments were conducted in which female rats were either sham-operated (Sham) or ovariectomized (Ovx). In the first experiment, ovariectomized rats were stratified into three tertiles based on intra-abdominal adipose tissue mass. To strengthen the Ovx-P/Ovx-R model, we conducted a second experiment in which the numbers of rats in each group were extended and in which different molecular markers were measured. At the end of a 6-8-week period, ovariectomized rats that displayed the lower abdominal fat accumulation (lower tertile) were labelled as Ovx-R and those in the upper tertile as Ovx-P. RESULTS: Ovx-R rats displayed similar abdominal fat gain to Sham rats whereas Ovx-P rats depicted abdominal fat mass twice as high as that of Sham and Ovx-R rats. Despite the difference in abdominal adiposity, liver fat content was ~50% higher (p < 0.01) in both Ovx-R and Ovx-P rats compared to Sham rats. In addition, both Ovx-R and Ovx-P rats depicted higher HOMA-IR scores (p < 0.05) and lower (p < 0.01) hepatic gene expression of leptin receptor-b and -e, microsomal transfer protein (MTP), and diacylglycerol acyltransferase-2 (DGAT-2) compared to Sham rats. CONCLUSION: The present findings indicate that estrogen withdrawal-induced hepatic steatosis and associated insulin resistance may be dissociated from abdominal fat accumulation and suggest that a decrease in leptin action through a down-regulation of leptin receptors and a decrease in very low density lipoprotein production through a down-regulation of MTP and DGAT-2 may be factors responsible for this observation in the absence of peripheral fat gain.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".