Inhibition of microRNA-34a mediates protection of thymosin beta 4 in endothelial progenitor cells against advanced glycation endproducts by targeting B-cell lymphoma 2
Bibliographic record
Abstract
The aim of our work was to test whether thymosin beta 4 protected endothelial progenitor cells against apoptosis induced by advanced glycation endproducts and investigate the underlying mechanism. Treatment with thymosin beta 4 or transfection with microRNA-34a inhibitor enhanced cell viability, reduced apoptosis, abated oxidative stress, and attenuated mitochondrial dysfunction in endothelial progenitor cells exposed to advanced glycation endproducts. Incubation with advanced glycation endproducts led to increased levels of microRNA-34a, which was attenuated by treatment with thymosin beta 4. Transfection with microRNA-34a reversed the beneficial effect of thymosin beta 4 against injuries induced by advanced glycation endproducts. The microRNA-34a could directly bind to the 3'UTRs of the mRNA of B-cell lymphoma 2, and thymosin beta 4 treatment upregulated B-cell lymphoma 2 expression in endothelial progenitor cells exposed to advanced glycation endproducts. More importantly, knockdown of B-cell lymphoma 2 abolished the protection of thymosin beta 4 and microRNA-34a inhibitor against advanced glycation endproducts. In conclusion, inhibition of microRNA-34a mediated protection of thymosin beta 4 in endothelial progenitor cells against advanced glycation endproducts by targeting B-cell lymphoma 2, which was helpful for understanding the therapeutic potential of thymosin beta 4 for diabetic patients.
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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".