The polygenetically inherited metabolic syndrome of WOKW rats is associated with insulin resistance and altered gene expression in adipose tissue
Bibliographic record
Abstract
BACKGROUND: Wistar Ottawa Karlsburg W (RT1u) rats (WOKW) develop a complete metabolic syndrome closely resembling the human disease. The aim of this study was to characterize the phenotype of adipose tissue in WOKW rats with regard to adipocyte metabolism, insulin resistance, and gene expression and thus to define the phenotype more precisely. METHODS: Glucose metabolism, insulin sensitivity, and gene expression of key adipocyte genes, including adiponectin, interleukin 6 (Il6), 11 beta-hydroxysteroid dehydrogenase (11beta Hsd), peroxisome proliferator-activated receptor gamma (Ppar gamma), forkhead box O1 (Foxo1), glucose transporter 4 (Glut4), CCAAT/enhancer binding protein (C/ebp alpha), and fatty acid synthase (Fasn) were characterized in adipocytes from epididymal and subcutaneous fat depots of 28-week-old male WOKW rats and Dark Agouti (DA) controls. RESULTS: WOKW rats display decreased insulin-stimulated glucose uptake and decreased insulin sensitivity during lipogenesis and lipolysis in isolated adipocytes. The severe insulin resistance predominantly in epididymal adipose tissue of WOKW rats is associated with a 10-fold decrease in adipocyte adiponectin gene expression, decreased Ppar gamma, but increased Foxo1 gene expression compared to DA rats. CONCLUSIONS: Insulin resistance in adipose tissue is associated with altered adipocyte gene expression in WOKW rats, additionally completing the picture of the metabolic syndrome in this animal model. This fact not only qualifies the WOKW rat for further detailed analysis of genetic determinants of metabolic syndrome but also highlights its suitability for pharmacological research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".