ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Integrative Analysis of Expression Profiles of MicroRNAs and mRNAs in Treatment of Acute Myocardial Infarction with Compound Longmaining Decoction.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Fungal protein D1 inhibits the proliferation of A549 cells via activating the p53/miR-34a signaling pathway.Journal of natural medicines · 2025Article
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats.Frontiers in veterinary science · 2025Review
- Exosomal miR-218-5p/miR-363-3p from Endothelial Progenitor Cells Ameliorate Myocardial Infarction by Targeting the p53/JMY Signaling Pathway.Oxidative medicine and cellular longevity · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND This study identified microRNAs (miRNAs) and mRNAs associated with Compound Longmaining (CLMN) treatment of acute myocardial infarction (AMI). Our results provide a theoretical framework to guide AMI treatment and improve myocardial injury. MATERIAL AND METHODS The myocardial tissues of the sham operation group (S), the model group (M), and the CLMN treatment group (T) were obtained. The mRNA and miRNA expression profiles were identified using RNA-sequencing analysis. The sequencing results were verified by quantitative real-time PCR (qRT-PCR). Bioinformatics was used to predict the function of differentially expressed genes (DEGs) and related signal transduction pathways. The target genes of miRNAs were predicted by software analysis, and the relationship between miRNA and mRNA was studied by network analysis. RESULTS RNA-sequencing revealed 22 differentially expressed miRNAs (DEMs) and 76 DEGs in myocardial tissue. Six DEMs and 9 DEGs were randomly selected for qRT-PCR validation, and corroborating results were obtained. The results of Gene ontology (GO) showed that DEGs participated in different biological processes. Through the combined analysis of miRNAs and mRNAs expression, it was confirmed that a single miRNA is involved in the regulation of multiple genes, and also multiple miRNAs can target one gene. CONCLUSIONS The analysis based on the miRNA-mRNA network can not only help to elucidate the potential molecular mechanism of CLMN treatment of AMI, but can also help in identifying novel therapeutic targets.
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