Enhanced stem cell engraftment and modulation of hepatic reactive oxygen species production in diet‐induced obesity
Bibliographic record
Abstract
OBJECTIVE: The impact of dietary-induced obesity (DIO) on stem cell engraftment and the respective therapeutic potential of stem cell engraftment in DIO have not been reported. The objectives of this study were to examine the impact of DIO on the survival and efficacy of intravenous bone marrow-derived mesenchymal stem cell (MSC) administration in the conscious C57BL/6 mouse. METHODS: Male mice consumed either a chow (CH) or high fat (HF, 60% kcal) diet for 18 weeks and were subsequently treated with MSC over a 6-day period. Key measurements included tissue-specific cell engraftment, glucose and insulin sensitivity, inflammation, and oxidative stress. RESULTS: MSC administration had no effect on inflammatory markers, glucose, or insulin sensitivity. DIO mice showed increases in MSC engraftment in multiple tissues compared with their CH counterparts. Engraftment was increased in the HF liver where MSC administration attenuated DIO-induced oxidative stress. These liver-specific alterations in HF-MSC were associated with increases in stanniocalcin-1 (STC1) and uncoupling protein 2 (UCP2), which contribute to cell survival and modulate mitochondrial bioenergetics. CONCLUSION: Results suggest that MSC administration in DIO promotes engraftment and mitigates hepatic oxidative stress. These data invite further exploration into the therapeutic potential of stem cells for the treatment of DIO oxidative stress in the liver.
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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".