Identification of LncRNA Mhrt as a potential biomarker for preventing the progression of Myocardial Ischemia-Reperfusion Injury through bioinformatics and experimental validation

This study aimed to identify biomarkers associated with MIRI and elucidate their potential mechanisms through integrated bioinformatics and experimental validation. snRNA-seq data (GSE227088) from MIRI samples underwent batch effect removal and quality control to construct a nuclear landscape. Cell type-specific clusters (cardiomyocyte-enriched cluster) were identified by comparing cell proportions between Sham and MIRI groups. Differential expression analysis revealed the lncRNA Mhrt as significantly upregulated in cardiomyocyte cluster (avg_log2FC > 2). Single-gene GSEA and pseudotime trajectory analyses were performed to explore lncRNA Mhrt’s role in MIRI progression. Subsequently, in the microarray dataset (GSE160516), genes associated with lncRNA Mhrt were identified using WGCNA, followed by enrichment analysis. The diagnostic efficacy of lncRNA Mhrt was evaluated based on the AUC of the ROC curve and its differential expression between the Sham and MIRI groups, and validated by qRT-PCR. In GSE227088, MIRI-related cardiomyocyte cluster and the significantly expressed lncRNA Mhrt (|avg_log2FC| >2) were identified. Enrichment analysis suggested its potential role in regulating mitochondrial functions such as oxidative phosphorylation to influence MIRI pathogenesis. Pseudotime analysis indicated its possible involvement in cardiomyocyte redifferentiation. Validation in GSE160516 showed that lncRNA Mhrt had extremely high diagnostic efficacy in distinguishing between the Sham and MIRI groups (ROC curve AUC = 1) with significant intergroup expression differences, which was further validated by qRT-PCR. This study highlights lncRNA Mhrt as a potential biomarker for MIRI, implicating its regulatory role in oxidative phosphorylation-mediated pathological processes. These findings advance understanding of MIRI mechanisms and provide a foundation for therapeutic development.

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Journal
BMC Cardiovascular Disorders
Published
2025-11-26
DOI
https://doi.org/10.1186/s12872-025-05324-0
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

Identification of LncRNA Mhrt as a potential biomarker for preventing the progression of Myocardial Ischemia-Reperfusion Injury through bioinformatics and experimental validation

Zelin Wang, W K Kong, Qiang Fu, Zhe Zhang et al.
BMC Cardiovascular Disorders
Cancer-related molecular mechanisms research
article

Identification of LncRNA Mhrt as a potential biomarker for preventing the progression of Myocardial Ischemia-Reperfusion Injury through bioinformatics and experimental validation

Zelin Wang, W K Kong, Qiang Fu, Zhe Zhang, Yin Fu, Yidi Ma, Bufan Li, Junlei Chen, P Z Qin
article en

Abstract

This study aimed to identify biomarkers associated with MIRI and elucidate their potential mechanisms through integrated bioinformatics and experimental validation. snRNA-seq data (GSE227088) from MIRI samples underwent batch effect removal and quality control to construct a nuclear landscape. Cell type-specific clusters (cardiomyocyte-enriched cluster) were identified by comparing cell proportions between Sham and MIRI groups. Differential expression analysis revealed the lncRNA Mhrt as significantly upregulated in cardiomyocyte cluster (avg_log2FC > 2). Single-gene GSEA and pseudotime trajectory analyses were performed to explore lncRNA Mhrt’s role in MIRI progression. Subsequently, in the microarray dataset (GSE160516), genes associated with lncRNA Mhrt were identified using WGCNA, followed by enrichment analysis. The diagnostic efficacy of lncRNA Mhrt was evaluated based on the AUC of the ROC curve and its differential expression between the Sham and MIRI groups, and validated by qRT-PCR. In GSE227088, MIRI-related cardiomyocyte cluster and the significantly expressed lncRNA Mhrt (|avg_log2FC| >2) were identified. Enrichment analysis suggested its potential role in regulating mitochondrial functions such as oxidative phosphorylation to influence MIRI pathogenesis. Pseudotime analysis indicated its possible involvement in cardiomyocyte redifferentiation. Validation in GSE160516 showed that lncRNA Mhrt had extremely high diagnostic efficacy in distinguishing between the Sham and MIRI groups (ROC curve AUC = 1) with significant intergroup expression differences, which was further validated by qRT-PCR. This study highlights lncRNA Mhrt as a potential biomarker for MIRI, implicating its regulatory role in oxidative phosphorylation-mediated pathological processes. These findings advance understanding of MIRI mechanisms and provide a foundation for therapeutic development.

BMC Cardiovascular DisordersVol. 26(1)
Heilongjiang University of Chinese Medicine (CN), First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Openalex Percentile: Top 55%
Cancer-related molecular mechanisms research
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