Prohibitin Overexpression in Adipocytes Induces Mitochondrial Biogenesis, Leads to Obesity Development, and Affects Glucose Homeostasis in a Sex-Specific Manner
Bibliographic record
Abstract
Adipocytes are the primary cells in the body that store excess energy as triglycerides. To perform this specialized function, adipocytes rely on their mitochondria; however, the role of adipocyte mitochondria in the regulation of adipose tissue homeostasis and its impact on metabolic regulation is not understood. We developed a transgenic mouse model, Mito-Ob, overexpressing prohibitin (PHB) in adipocytes. Mito-Ob mice developed obesity due to upregulation of mitochondrial biogenesis in adipocytes. Of note, Mito-Ob female mice developed more visceral fat than male mice. However, female mice exhibited no change in glucose homeostasis and had normal insulin and high adiponectin levels, whereas male mice had impaired glucose homeostasis, compromised brown adipose tissue structure, and high insulin and low adiponectin levels. Mechanistically, we found that PHB overexpression enhances the cross talk between the mitochondria and the nucleus and facilitates mitochondrial biogenesis. The data suggest a critical role of PHB and adipocyte mitochondria in adipose tissue homeostasis and reveal sex differences in the effect of PHB-induced adipocyte mitochondrial remodeling on whole-body metabolism. Targeting adipocyte mitochondria may provide new therapeutic opportunities for the treatment of obesity, a major risk factor for type 2 diabetes.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".