ArticleFrontiers in immunology2023
Identification and validation of key biomarkers based on RNA methylation genes in sepsis.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- New trends and hotspots in sepsis-related protein post-translational modification: a bibliometric and visual analysis.Frontiers in medicine · 2025Pooled it
- Ferroptosis-related TFRC: a potential therapeutic target in sepsis and regulatory effect of γ-Tocotrienol.Human genomics · 2026Article
- NOP2-mediated m5C methylation impairs mitophagy and aggravates acute lung injury by targeting PINK1.Scientific reports · 2026Article
- The m5C orchestrator NSUN7 drives SPARC/HMGB1 axis-mediated inflammation to exacerbate kidney injury.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Emerging roles of tRNA modification-mediated codon-specific translational reprogramming in cancer biology.Cell death & disease · 2026Review
- Elevated FTO alleviates sepsis‑induced acute kidney injury by regulating macrophage inflammatory phenotypes.International journal of molecular medicine · 2026Article
- Multi-omics integration in allergy, viral infections and asthma: a comprehensive analysis of bioinformatics tools.Frontiers in bioinformatics · 2026Article
- Deciphering N7-methylguanosine-driven immune dysregulation in unexplained recurrent spontaneous abortion based on transcriptome data and experimental validation.European journal of medical research · 2025Article
- METTL1 aggravates sepsis-acute kidney injury by promoting mHistology and histopathology · 2025Article
- The Role of NSUN Family Genes in m5C Methylation and Diseases.Biomedicines · 2025Review
- NSUN7-mediated m5C methylation of NLRP3 promotes pyroptosis in ovarian granulosa cells in polycystic ovary syndrome.Scientific reports · 2025Article
- Transcriptome-based molecular subgroup identification and prognosis stratification in pediatric AML.Annals of hematology · 2025Article
- Research on RNA modification in disease diagnosis and prognostic biomarkers: current status and challenges.Briefings in bioinformatics · 2025Review
- Identification and validation of a prognostic signature of mJournal of thoracic disease · 2025Article
- Article
- Pan-cancer analysis of the prognosis and immune infiltration of NSUN7 and its potential function in renal clear cell carcinoma.Discover oncology · 2025Article
- Epigenetic marvels: exploring the landscape of colorectal cancer treatment through cutting-edge epigenetic-based drug strategies.Clinical epigenetics · 2025Review
- TRIM11 modulates sepsis progression by promoting HOXB9 ubiquitination and inducing the NF-κB signaling pathway.Molecular biology reports · 2025Article
- Curcumin-induced exosomal FTO from bone marrow stem cells alleviates sepsis-associated acute kidney injury by modulating the m6A methylation of OXSR1.The Kaohsiung journal of medical sciences · 2025Article
- Comprehensive analysis of immunogenic cell death-related gene and construction of prediction model based on WGCNA and multiple machine learning in severe COVID-19.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: RNA methylation is closely involved in immune regulation, but its role in sepsis remains unknown. Here, we aim to investigate the role of RNA methylation-associated genes (RMGs) in classifying and diagnosing of sepsis. Methods: Five types of RMGs (m1A, m5C, m6Am, m7G and Ψ) were used to identify sepsis subgroups based on gene expression profile data obtained from the GEO database (GSE57065, GSE65682, and GSE95233). Unsupervised clustering analysis was used to identify distinct RNA modification subtypes. The CIBERSORT, WGCNA, GO and KEGG analysis were performed to explore immune infiltration pattern and biological function of each cluster. RF, SVM, XGB, and GLM algorithm were applied to identify the diagnostic RMGs in sepsis. Finally, the expression levels of the five key RMGs were verified by collecting PBMCs from septic patients using qRT-PCR, and their diagnostic efficacy for sepsis was verified in combination with clinical data using ROC analysis. Results: Sepsis was divided into three subtypes (cluster 1 to 3). Cluster 1 highly expressed Conclusions: Our study uncovered that dysregulation of RNA methylation genes (m1A, m5C, m6Am, m7G and Ψ) was closely involved in the pathogenesis of sepsis, providing new insights into the classification of sepsis endotypes. We also revealed that five hub RMGs could function as novel diagnostic biomarkers and potential targets for treatment.
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