ArticleGenes2020
Identification and Validation of Potential miRNAs, as Biomarkers for Sepsis and Associated Lung Injury: A Network-Based Approach.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 33 citations in OpenAlex.
- Downregulated miR-1290 serves as a diagnostic and prognostic biomarker in sepsis and protects against inflammatory injury by targeting TAOK1.BMC immunology · 2026Article
- Pathogen-Specific Regulation of Renin-Angiotensin System Genes in Epithelial Cells: A Comparative Study of SARS-CoV-2 Spike Protein N-Terminal Domain Fragment and Bacterial Lipopolysaccharide.Pathogens (Basel, Switzerland) · 2026Article
- Analysis of PANoptosis-related genes in septic cardiomyopathy by bioinformatics, machine learning and experimental validation.Experimental and therapeutic medicine · 2026Article
- The Microbiota and Evolution of Obesity.Endocrine reviews · 2025Review
- The Role of miR-144 in Inflammatory Diseases: A Review.Immunity, inflammation and disease · 2025Review
- Observational
- Correlating tissue and plasma‑specific piRNA changes to predict their possible role in pancreatic malignancy and chronic inflammation.Biomedical reports · 2024Article
- Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches.Scientific reports · 2023Article
- Urinary microRNAs in sepsis function as a novel prognostic marker.Experimental and therapeutic medicine · 2023Article
- Identification of Driver Genes and miRNAs in Ovarian Cancer through an Integrated In-Silico Approach.Biology · 2023Article
- MicroRNAs combined with the TLR4/TDAG8 mRNAs and proinflammatory cytokines are biomarkers for the rapid diagnosis of sepsis.Molecular medicine reports · 2022Article
- Integrated transcriptomic and regulatory network analyses uncovers the role of let-7b-5p, SPIB, and HLA-DPB1 in sepsis.Scientific reports · 2022Article
- Article
- An Insight into miR-1290: An Oncogenic miRNA with Diagnostic Potential.International journal of molecular sciences · 2022Review
- Article
- Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury.Genetics research · 2022Article
- Evaluation Value of Serum miR-4299 and miR-16-5p in Risk Stratification of Sepsis-Induced Acute Kidney Injury.BioMed research international · 2022Article
- MicroRNA-451a and Th1/Th2 ratio inform inflammation, septic organ injury, and mortality risk in sepsis patients.Frontiers in microbiology · 2022Article
- miR-942-5p prevents sepsis-induced acute lung injury via targeting TRIM37.International journal of experimental pathology · 2021Article
- Analysis of miRNA Profiles and the Regulatory Network in Congenital Pulmonary Airway Malformations.Frontiers in pediatrics · 2021Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis is a dysregulated immune response disease affecting millions worldwide. Delayed diagnosis, poor prognosis, and disease heterogeneity make its treatment ineffective. miRNAs are imposingly involved in personalized medicine such as therapeutics, due to their high sensitivity and accuracy. Our study aimed to reveal the biomarkers that may be involved in the dysregulated immune response in sepsis and lung injury using a computational approach and in vivo validation studies. A sepsis miRNA Gene Expression Omnibus (GEO) dataset based on the former analysis of blood samples was used to identify differentially expressed miRNAs (DEMs) and associated hub genes. Sepsis-associated genes from the Comparative Toxicogenomics Database (CTD) that overlapped with identified DEM targets were utilized for network construction. In total, 317 genes were found to be regulated by 10 DEMs (three upregulated, namely miR-4634, miR-4638-5p, and miR-4769-5p, and seven downregulated, namely miR-4299, miR-451a, miR181a-2-3p, miR-16-5p, miR-5704, miR-144-3p, and miR-1290). Overall hub genes (HIP1, GJC1, MDM4, IL6R, and ERC1) and for miR-16-5p (SYNRG, TNRC6B, and LAMTOR3) were identified based on centrality measures (degree, betweenness, and closeness). In vivo validation of miRNAs in lung tissue showed significantly downregulated expression of miR-16-5p corroborating with our computational findings, whereas expression of miR-181a-2-3p and miR-451a were found to be upregulated in contrast to the computational approach. In conclusion, the differential expression pattern of miRNAs and hub genes reported in this study may help to unravel many unexplored regulatory pathways, leading to the identification of critical molecular targets for increased prognosis, diagnosis, and drug efficacy in sepsis and associated organ injuries.
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Registered trials
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