ArticleMolecular medicine reports2019
Identification of key miRNA‑mRNA pairs in septic mice by bioinformatics analysis.
Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Integrating host mRNA signatures and clinical trajectories with machine learning for risk stratification and survival prediction in sepsis: an ICU-based prospective cohort study.BMC infectious diseases · 2026Article
- Comprehensive characterization of multi-omics landscapes between gut microbial metabolites and the druggable genome in sepsis.Frontiers in immunology · 2025Article
- Identification and validation of a novel four-gene diagnostic model for neonatal early-onset sepsis with bacterial infection.European journal of pediatrics · 2023Article
- Circ_UBE2D2 Attenuates the Progression of Septic Acute Kidney Injury in Rats by Targeting miR-370-3p/NR4A3 Axis.Journal of microbiology and biotechnology · 2022Article
- Identification of potential novel biomarkers for abdominal aortic aneurysm based on comprehensive analysis of circRNA-miRNA-mRNA networks.Experimental and therapeutic medicine · 2021Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is one of the most common causes of death among critically ill patients in intensive care units worldwide; however, the microRNAs (miRNAs/miRs) involved in the sepsis process (and their target genes) are largely unknown. The present study integrated miRNA and mRNA datasets to elucidate key sepsis‑related miRNA‑mRNA pairs. The datasets, GSE74952 and GSE55238 were downloaded from the Gene Expression Omnibus. By performing bioinformatics analysis such as GEO2R, miRNA target gene prediction, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis and miRNA‑mRNA network analysis, a total of four sepsis‑related miRNA‑mRNA pairs were successfully obtained. Mmu‑miR‑370‑3p, cluster of differentiation (CD)8a, CD247, Zap70 and inhibitor of nuclear factor κ B kinase subunit β (Ikbkb) were identified as the components involved in these pairs, and these genes were enriched in the T‑cell receptor signaling pathway. Finally, reverse transcription‑quantitative PCR results validated that the expression levels of the four genes (CD8a, CD247, Zap70 and Ikbkb) in the sepsis model mice were consistent with the microarray analysis. In conclusion, the present study identified four sepsis‑related miRNA‑mRNA pairs using bioinformatics analysis. These results indicated that the candidate miRNA‑mRNA pairs may be involved in the regulation of immunity in sepsis, which may in turn act as indicators or therapeutic targets for sepsis.
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