The Role of Adipose Tissue-Derived Stem Cells together with Vitamin C on Survival of Rats with Acute Radiation Syndrome
Bibliographic record
Abstract
Background: Following any injury in radiation accidents, such as Acute Radiation Syndrome (ARS), medical interventions are recommended based on radiation dose and physiological response. Clinical management encompasses blood transfusion, hematopoietic cytokines, and stem-cell transplantation.Objective: This study aimed to determine the effect of adipose tissue-derived stem cells (AdSCs) together with vitamin C on the survival of rats with ARS.Material and Methods: In this experimental study, 45 rats were randomly divided into 3 equal groups of animals administered with a single dose of oral 400 mg/kg vitamin C; those injected intravenously with 1.5×105 AdSCs; and rats transplanted intravenously with 1.5×105 AdSCs together with a single oral dose of 400 mg/kg vitamin C. All rats were already irradiated with 10 Gy (dose rate 0.286 Gy/ min) 60CO, for 35 minutes with a field size of 35 cm × 35 cm for all body areas.Results: A significant increase in survival rate was visible one month after γ irradiation in 73.3% of animals received AdSCs+vitamin C, 60% of rats injected with just AdSCs, and 13.3% of the group received just vitamin C. Conclusion: Our findings revealed significant efficacy of a combined approach involving AdSC transplantation and vitamin C to enhance the survival rate following lethal irradiation. This combination could offer a potential avenue for addressing the alleviation of tissue damage caused by chemotherapy and toxic drugs. We recommend the administration of AdSCs together with vitamin C as an effective and prompt treatment option for irradiation injuries.
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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".