ArticleJournal of translational medicine2020
Whole blood transcriptomic investigation identifies long non-coding RNAs as regulators in sepsis.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 55 citations in OpenAlex.
- Epigenetic Mechanisms in Sepsis-Induced Cardiomyopathy: From Pathophysiology to Therapeutic Targets.International journal of molecular sciences · 2026Review
- FENDRR-mediated regulation of osteoclast differentiation through the miRNA-129-5p/P2X7R axis.Journal of orthopaedic surgery and research · 2026Article
- Less is more: relative rank is more informative than absolute abundance for compositional NGS data.Briefings in functional genomics · 2025Review
- lncRNA FENDRR targets miR-3614-5p to promote sepsis-induced acute kidney injuryCentral-European journal of immunology · 2025Article
- PAGE-based transfer learning from single-cell to bulk sequencing enhances model generalization for sepsis diagnosis.Briefings in bioinformatics · 2024Article
- Deep learning model to discriminate diverse infection types based on pairwise analysis of host gene expression.iScience · 2024Article
- Co-expression module analysis reveals high expression homogeneity for both coding and non-coding genes in sepsis.BMC genomics · 2023Article
- Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes.BMC bioinformatics · 2023Article
- bvnGPS: a generalizable diagnostic model for acute bacterial and viral infection using integrative host transcriptomics and pretrained neural networks.Bioinformatics (Oxford, England) · 2023Article
- GPGPS: a robust prognostic gene pair signature of glioma ensembling IDH mutation and 1p/19q co-deletion.Bioinformatics (Oxford, England) · 2023Article
- Construction of a ferroptosis-related signature based on seven lncRNAs for prognosis and immune landscape in clear cell renal cell carcinoma.BMC medical genomics · 2022Article
- Ablation of long noncoding RNA MALAT1 activates antioxidant pathway and alleviates sepsis in mice.Redox biology · 2022Article
- LncRNA SNHG1 promotes sepsis-induced myocardial injury by inhibiting Bcl-2 expression via DNMT1.Journal of cellular and molecular medicine · 2022Article
- Comprehensive insight into endothelial progenitor cell-derived extracellular vesicles as a promising candidate for disease treatment.Stem cell research & therapy · 2022Review
- Long non-coding RNAs and microRNAs as crucial regulators in cardio-oncology.Cell & bioscience · 2022Review
- Curcumin Elevates microRNA-183-5p via Cathepsin B-Mediated Phosphatidylinositol 3-Kinase/AKT Pathway to Strengthen Lipopolysaccharide-Stimulated Immune Function of Sepsis Mice.Contrast media & molecular imaging · 2022Article
- Iron metabolism-related genes reveal predictive value of acute coronary syndrome.Frontiers in pharmacology · 2022Article
- Article
- Functional delivery of lncRNA TUG1 by endothelial progenitor cells derived extracellular vesicles confers anti-inflammatory macrophage polarization in sepsis via impairing miR-9-5p-targeted SIRT1 inhibition.Cell death & disease · 2021Article
- Long non-coding RNA pairs to assist in diagnosing sepsis.BMC genomics · 2021Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis is a fatal disease referring to the presence of a known or strongly suspected infection coupled with systemic and uncontrolled immune activation causing multiple organ failure. However, current knowledge of the role of lncRNAs in sepsis is still extremely limited.
methodsWe performed an in silico investigation of the gene coexpression pattern for the patients response to all-cause sepsis in consecutive intensive care unit (ICU) admissions. Sepsis coexpression gene modules were identified using WGCNA and enrichment analysis. lncRNAs were determined as sepsis biomarkers based on the interactions among lncRNAs and the identified modules.
resultsTwenty-three sepsis modules, including both differentially expressed modules and prognostic modules, were identified from the whole blood RNA expression profiling of sepsis patients. Five lncRNAs, FENDRR, MALAT1, TUG1, CRNDE, and ANCR, were detected as sepsis regulators based on the interactions among lncRNAs and the identified coexpression modules. Furthermore, we found that CRNDE and MALAT1 may act as miRNA sponges of sepsis related miRNAs to regulate the expression of sepsis modules. Ultimately, FENDRR, MALAT1, TUG1, and CRNDE were reannotated using three independent lncRNA expression datasets and validated as differentially expressed lncRNAs.
conclusionThe procedure facilitates the identification of prognostic biomarkers and novel therapeutic strategies of sepsis. Our findings highlight the importance of transcriptome modularity and regulatory lncRNAs in the progress of sepsis.
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