Metformin adapts its cellular effects to bioenergetic status in a model of metabolic dysfunction
Bibliographic record
Abstract
Thermal injury induces a complex immunometabolic response, characterized by hyperglycemia, extensive inflammation and persistent hypermetabolism. It has been suggested that attenuation of the hypermetabolic response is beneficial for patient wellbeing. To that effect, metformin represents an attractive therapeutic agent, as its effects on glycemia, inflammation and bioenergetics can improve outcomes in burn patients. Therefore, we studied metformin and its effects on mitochondrial bioenergetics in a murine model of thermal injury. We set out to determine the impact of this agent on mitochondrial hypermetabolism (adult mice) and mitochondrial dysfunction (aged mice). Seahorse respirometry complimented by in-gel activity assays were used to elucidate metformin's cellular mechanism. We found that metformin exerts distinctly different effects, attenuating the hypermetabolic mitochondria of adult mice while significantly improving mitochondrial bioenergetics in the aged mice. Furthermore, we observed that these changes occur both with and without adenosine monophosphate kinase (AMPK) activation, respectively, and analyzed damage markers to provide further context for metformin's beneficial actions. We suggest that metformin has a dual role following trauma, acting via both AMPK-dependent and independent pathways depending on bioenergetic status. These findings help further our understanding of metformin's biomolecular effects and support the continued use of this drug in patients.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".