Modulatory effects of mesenchymal stem cells on hepatic mitochondrial reactive oxygen species production in dietary‐induced insulin resistance
Bibliographic record
Abstract
Mesenchymal stem cells (MSCs) are thought to exert their effects in part by limiting oxidative stress. Of therapeutic interest are the effects of MSCs in insulin resistance, a cause of elevated reactive oxygen species (ROS). In this study, we analyzed the antioxidant activity of MSCs in the dietary‐induced insulin resistant C57BL6 model. Male mice were placed on either a chow (CH) or high fat (HFF, 60% kcal) diet for 18wk. Over a 6d period, mice received two serial injections of either murine serum or MSC enriched serum (2 million cells/injection, separated by 2d) via the tail vein. Analyses included cell survival, glucose tolerance, insulin resistance, respirometry and levels of hepatic mitochondrial ROS production. HFF mice were obese (31±2g vs. 46±3g) and hyperglycemic. Results demonstrated no difference in glucose tolerance or insulin resistance with MSCs. Interestingly, MSCs did not alter the rate of ROS production in CH (H 2 O 2 production: 0.68±0.14 pmol.min −1 μg −1 in CH‐MSC vs. 0.63±0.11 pmol.min −1 μg −1 in CH‐Serum) but significantly reduced mitochondrial ROS production in HFF (4.85±0.39 vs. 0.72±0.17 pmol.min −1 μg −1 ). In conclusion, short‐term MSC treatment does not impact hyperglycemia but significantly reduces rates of hepatic mitochondrial ROS production. Results invite further exploration into the specific mechanisms by which MSCs reduce ROS in insulin resistant states. Support: HSF, CDA, AIHS
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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".