Aging-Associated Reductions in Lipolytic and Mitochondrial Proteins in Mouse Adipose Tissue Are Not Rescued by Metformin Treatment
Bibliographic record
Abstract
Mitochondrial enzyme expression is reduced in adipose tissue from old mice, yet little is known regarding mechanisms that could be mediating, or interventions that could be used, to reverse these changes. The purpose of this study was to examine the relationship between lipolytic and fatty acid reesterification enzymes, 5' adenosine monophosphate-activated protein kinase and mitochondrial proteins in adipose tissue from young versus old mice. A second aim was to determine whether metformin treatment could rescue the age-associated decline in adipose tissue mitochondrial proteins. Approximately 22-month-old male C57BL/6 mice were fed a diet with or without 0.5% metformin for 8 weeks. Compared with young mice (~11 wk of age), the protein content/phosphorylation of hormone-sensitive lipase, adipose tissue triglyceride lipase, and phosphoenolpyruvate carboxykinase were reduced in old mice. This was paralleled by increases in the plasma nonesterified fatty acid:glycerol ratio and reductions in adipose tissue 5' adenosine monophosphate-activated protein kinase activity and select mitochondrial proteins in old mice. There were no differences in these variables when comparing adipose tissue from young and 6-month-old mice. While metformin improved glucose homeostasis, it did not increase 5' adenosine monophosphate-activated protein kinase phosphorylation or mitochondrial enzymes. Our findings demonstrate a co-ordinated down regulation of lipolytic, reesterification, and mitochondrial enzymes in adipose tissue with aging that is unresponsive to metformin treatment.
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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) | 0.001 | 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".