Skip to content

Integrated Bioinformatics and Experimental Validation of Post-Translational Modification-Related Biomarkers in Myocardial Ischemia-Reperfusion Injury

Aug 2026 · Journal of Cardiovascular Translational Research · Vol 19 · 0 citations · 60 references
Medicine

TL;DR

Hypoxia/reoxygenation assays using H9C2 rat cardiomyocytes confirmed the upregulation of Myc and Rnf115 during early MIRI, aligning with bioinformatics trends.

View source

Similar papers

Open access Aug 2026

Integrative transcriptomic analysis and experimental validation identify GPR97 and PROK2 as novel genes upregulated in acute myocardial infarction

This integrated computational and experimental study identifies a set of high-value diagnostic core genes in AMI and validates the specific upregulation of novel genes (GPR97, PROK2) in myocardial ischemia, placing them within a pathological network involving metabolic, immune and protective pathways.

Yumin Meng, Qi-Fang Chen, Jie Liu · 0 citations
Aug 2026

miR-221-3p-mediated CPT2 suppression links cardiomyocyte metabolic stress to NET-associated inflammation in myocardial ischemia-reperfusion injury: Multi-omics evidence and experimental validation.

In vivo, miR-221-3p antagomir pre-treatment restored CPT2, reduced reactive oxygen species (ROS) and NET-associated markers, lowered apparent infarct burden, and improved acute cardiac function, and identified 18 metabolites associated with IHD after false-discovery-rate (FDR) correction.

Malike Mutailipu, Abudousaimi Aini, Duolikun Mutailifu et al. · 0 citations
Open access Aug 2026

Bioinformatics-based analysis of key genes associated with endoplasmic reticulum stress in myocardial infarction

In vivo qPCR results verified that the mRNA expression of CEBPB and PPP1R15A was significantly elevated in myocardial tissues of AMI model mice compared with the sham group, and have high research potential for exploring the molecular mechanism of myocardial ischemic injury.

Long-Sheng Zhang, Ning Liang, De-Zhao Liu et al. · 0 citations
Aug 2026

CCL4 as a Potential Immune-Metabolic Biomarker in Acute Myocardial Infarction via Machine Learning and Single-Cell Transcriptomics.

The findings suggest that CCL4 may serve as a potential diagnostic biomarker for AMI, and the observed immune-metabolic associations provide a basis for future mechanistic and translational studies.

Jin-Zhong Bo, Y. Xiang, Yanshuo Ni et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.