Calcitonin Gene-Related Peptide Improves Hypoxia-Induced Inflammation and Apoptosis via Nitric Oxide in H9c2 Cardiomyoblast Cells
Bibliographic record
Abstract
OBJECTIVES: The aim of this work was to investigate whether calcitonin gene-related peptide (CGRP) plays a protective role in cardiomyocytes against hypoxia-induced inflammation and apoptosis via an NO-mediated pathway. METHODS: H9c2 cardiac cells were exposed to hypoxia for 2 h to establish a model of myocardial hypoxic-ischemic injury. The cells were pretreated with either CGRP or nitric oxide synthase (NOS) inhibitor (L-NAME) before being exposed to hypoxia for 30 min. Cell viability was analyzed using a cell counter kit 8 (CCK-8). The levels of IL-6 and TNF-α were determined by the corresponding enzyme-linked immunosorbent assay. The expression levels of several apoptosis proteins (p53, caspase-3, cytochrome C) and NOS were detected by Western blot assays. An NO kit was used to evaluate the production of NO. RESULTS: Pretreatment of H9c2 cardiac cells with CGRP for 30 min prior to exposure to hypoxia markedly improved cell viability (83.57 ± 3.21 vs. 62.83 ± 8.30%, p < 0.001); the same effect was observed following pretreatment with the NOS inhibitor L-NAME (89.34 ± 5.95 vs. 75.01 ± 5.61%, p < 0.01). Pretreatment with CGRP also significantly attenuated the inflammatory responses induced by hypoxia, as evidenced by decreases of the levels of both IL-6 (193.21 ± 13.54 vs. 293.38 ± 56.49%, p < 0.001) and TNF-α (207.71 ± 44.27 vs. 281.46 ± 64.88%, p < 0.001). Additionally, CGRP significantly decreased the hypoxia-induced overexpression of the apoptotic proteins (p53: 0.27 ± 0.10 vs. 0.87 ± 0.30, p < 0.001; caspase-3: 0.65 ± 0.15 vs. 0.98 ± 0.26, p < 0.001; cytochrome C: 1.51 ± 0.39 vs. 2.80 ± 0.69, p < 0.001) and enhanced the expression of both endothelial NOS (eNOS; 0.59 ± 0.24 vs. 0.37 ± 0.14, p < 0.05) and phosphorylated eNOS (0.60 ± 0.13 vs. 0.40 ± 0.07, p < 0.05). Furthermore, the application of both L-NAME and CGRP attenuated the hypoxia-induced expression of inducible NOS (iNOS; p < 0.05) and enhanced a hypoxia-mediated decrease in NO (p < 0.01). Interestingly, the expression levels of cell apoptosis (p < 0.05), iNOS and eNOS (p < 0.05) were decreased with L-NAME and CGRP cotreatment following 2 h of acute hypoxia, but the apoptotic factors (p < 0.05) were increased compared with only CGRP pretreatment. CONCLUSION: CGRP protects cardiomyocytes from hypoxia-induced inflammation and apoptosis by modulating NO production.
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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".