Reductions in adipose tissue mitochondrial content in high fat diet‐induced obesity and lean models of insulin resistance
Bibliographic record
Abstract
Insulin resistance is associated with reductions in adipose tissue mitochondrial content. It is not known how rapidly these changes occur and how they relate to changes in glucose homeostasis. In order to establish the temporal relationship between diet‐induced adipose tissue insulin resistance and mitochondrial content, rats were fed a high fat (HF) diet for 2, 4, or 6 weeks. We found that 6 weeks of HF feeding was necessary for reductions in mitochondrial content in epididymal adipose tissue to occur, as demonstrated by decreases in the protein content of cytochrome C and COXIV, reduced Mitotracker staining, and reductions in mitochondrial size as estimated by electron microscopy. Similar results were seen in dexamethasone treated rats, a model of lean insulin resistance. Intraperitoneal Glucose Tolerance Tests (IPGTT) were completed at 4 and 6 weeks to determine whole‐body insulin action. At 4 weeks and 6 weeks, the integrated AUC for glucose and insulin was higher in the HF fed rats versus control. Although reductions in mitochondrial content did not appear to precede changes in whole‐body insulin action, it did appear to be associated with a worsening of insulin sensitivity, a phenomenon that can occur in both lean and obese models of insulin resistance. Funding: Alberta Heritage Foundation for Medical Research, Natural Sciences and Engineering Research Council, Alberta Diabetes Institute
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".