ArticleMolecular medicine reports2022
MicroRNAs combined with the TLR4/TDAG8 mRNAs and proinflammatory cytokines are biomarkers for the rapid diagnosis of sepsis.
Article in Molecular medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Monocyte chemoattractant protein-1 as a potential marker for patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Preliminary miRNA profiling of plasma from patients infected with distinct SARS-CoV-2 variants.Molecular biology reports · 2026Article
- Early prediction of sepsis in the ICU: a comparative analysis of multiple machine-learning algorithms using the MIMIC-III database.BMC medical informatics and decision making · 2026Article
- Identification of amino acid metabolism‑related genes as diagnostic and prognostic biomarkers in sepsis through machine learning.Experimental and therapeutic medicine · 2025Article
- Liver injury in sepsis: manifestations, mechanisms and emerging therapeutic strategies.Frontiers in immunology · 2025Review
- A miRNA signature linked to high lipoprotein (a) and coronary calcification in familial hypercholesterolaemia.Computational and structural biotechnology journal · 2025Article
- Immunomodulation of Proton-activated G Protein-coupled Receptors in Inflammation.Current medical science · 2024Review
- Association Between Plasma Levels of Monocyte Chemoattractant Protein-1 (MCP-1) and 28-Day Mortality in Elderly Patients with Sepsis: A Retrospective Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early diagnosis and treatment of sepsis are of particular importance to patient survival. To obtain novel biomarkers that serve as prompt indicators of sepsis, the current study screened the differentially expressed microRNAs (DEMs) that were associated with sepsis susceptibility. The correlation between the elucidated DEMs and the inflammatory response was also examined. The present study included 40 patients with sepsis and 40 healthy controls. RNA‑sequencing technology and bioinformatics analysis were applied to screen the DEMs between the two cohorts. The expression of these DEMs was subsequently verified by performing reverse transcription‑quantitative PCR (RT‑qPCR). In addition, IL‑6, IL‑21, C‑X‑C motif chemokine ligand‑8 (CXCL8) and monocyte chemoattractant protein‑1 (MCP‑1) levels, along with T‑cell death‑associated gene 8 (TDAG8) and toll‑like receptor 4 (TLR4) mRNA expression levels were assessed. The association between microRNA (miRNA/miR)‑3663‑3p and the secretion of various proinflammatory cytokines or TDAG8 and TLR4 mRNA expressions were subsequently evaluated by linear correlation analysis. The results revealed 305 DEMs (P<0.05; fold change >2) between patients with sepsis and healthy controls. Among these, the top 18 up‑ and downregulated miRNAs were selected for RT‑qPCR verification. In addition, the serum content of IL‑6, IL‑21, CXCL8 and MCP‑1, and the expression of TDAG8 and TLR4 mRNAs were significantly increased in patients with sepsis compared with healthy controls. Moreover, in patients with sepsis, a positive correlation was identified between miR‑3663‑3p and the secretion of inflammatory cytokines or TDAG8 and TLR4 mRNA expression. A positive correlation was also elucidated between TDAG8 and TLR4 mRNA expression and proinflammatory cytokine/chemokine secretion. Receiver operating characteristic curve analysis of miR‑3663‑3p expression, IL‑6, IL‑21, CXCL8 and MCP‑1 secretion and TDAG8 and TLR4 mRNA expression demonstrated that miRNA analysis may be invaluable for the diagnosis of sepsis. Collectively, the results determined that miR‑3663‑3p may be a potentially powerful diagnostic and predictive biomarker of sepsis and that the combined and simultaneous detection of several biomarkers, including proteins, miRNAs and mRNA may be a reliable approach for the fast diagnosis and early identification of sepsis.
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