The Impact of miR-34a on Endothelial Cell Viability and Apoptosis in Ischemic Stroke: Unraveling the <i>MTHFR</i>-Homocysteine Pathway
Bibliographic record
Abstract
INTRODUCTION: Ischemic stroke (IS) is a global health concern, often tied to dyslipidemia and vascular endothelial dysfunction. MicroRNA-34a (miR-34a) was reported to be up-regulated in the blood samples of patients with IS, but the specific role of miR-34a and methylenetetrahydrofolate reductase (MTHFR) in IS remains to be elucidated. METHODS: We studied 143 subjects: 71 IS patients, and 72 healthy controls. Human umbilical vein endothelial cells (HUVECs) were cultured and transfected with a miR-34a mimic, inhibitor, or negative control. The miR-34a expression in serum and HUVECs was quantified via quantitative reverse transcription polymerase chain reaction (qRT-PCR). Viability and apoptosis of HUVECs were assessed using CCK-8 assay and flow cytometry. The expression levels of bcl-2, bax, cyt-c, cleaved caspase 3, MTHFR, and homocysteine were measured by Western blot or enzyme-linked immunosorbent assay (ELISA). The relationship between miR-34a and MTHFR was verified by luciferase reporter assay. The levels of MTHFR and homocysteine in serum were examined by ELISA. RESULTS: MiR-34a expression was increased in IS patients and inhibited viability of HUVECs while promoting their apoptosis. Overexpression of miR-34a up-regulated pro-apoptotic proteins (bax, cyt-c and cleaved caspase 3) and down-regulated anti-apoptotic protein bcl-2 in HUVECs. MTHFR was identified as the downstream target of miR-34a and its expression was reduced by miR-34a overexpression, while homocysteine levels increased. Consistently, MTHFR levels were lower and homocysteine levels were higher in IS patients compared with controls. DISCUSSION: Our results suggest that up-regulated miR-34a plays a role in the pathogenesis of IS, potentially through inhibiting MTHFR expression and increasing homocysteine in endothelial cells. Therefore, miR-34a might be a therapeutic target for IS.
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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 | 0.000 |
| 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".