Protective effect of sitagliptin and whole-body γ-irradiation in diabetes-induced cardiac injury
Bibliographic record
Abstract
Diabetes mellitus is associated with an increased risk of cardiac complications; this study aimed to investigate effect of sitagliptin (SITA) alone or combined with γ-irradiation on diabetes-associated cardiac injury. Rats were treated with SITA (100 mg/kg per day; p.o.) for 2 weeks followed by a single dose of whole-body γ-irradiation (3 Gy). Solitary administration of SITA or combined treatment with γ-irradiation succeeded to ameliorate the increase in serum levels of glucose, total cholesterol, triglycerides, creatine kinase-MB, and malondialdehyde, coupled by increased insulin and reduced glutathione levels. Their cardioprotective potential was confirmed through attenuating the apoptotic signaling by mitigating Bcl-2-associated X protein, caspase-3, and apoptosis-inducing factor expression, while augmenting the anti-apoptotic factors, B cell lymphoma-2 (Bcl-2), and heat shock protein 70 (HSP-70) in left ventricular tissue homogenates. These findings were supported histopathologically. In conclusion, treatment with SITA alone or combined with γ-irradiation may prove beneficial in diabetes-accompanied cardiac insult. This could be due to the crosstalk between the antioxidant, anti-apoptotic, and restoration of body’s defense capacities.
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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) | 0.001 | 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".