ArticleAnnals of translational medicine2020
Contribution of m6A subtype classification on heterogeneity of sepsis.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 46 citations in OpenAlex.
- Upregulation of mScience China. Life sciences · 2026Article
- Construction of RNA m6A profiles in liver tissue of mice in sepsis-induced liver injury based on m6A MeRIP-seq and RNA-seq.European journal of medical research · 2025Article
- The Epigenetics of Sepsis: How Gene Modulation Shapes Outcomes.Biomedicines · 2025Review
- Identification and validation of mFrontiers in immunology · 2025Article
- Research advances in mFrontiers in cell and developmental biology · 2025Review
- Macrophage-derived exosome piR-50971 exacerbates sepsis-induced myocardial injury by inhibiting autophagy through the upregulation of N6-Methyladenosine modification of mTOR.Burns & trauma · 2025Article
- Cuproptosis-related Gene Signatures and Immunological Characterization in Sepsis-associated Acute Lung Injury.Combinatorial chemistry & high throughput screening · 2025Article
- m6A methylation in myocardial tissue of septic mice analyzed using MeRIP/m6A-sequencing and RNA-sequencing.Functional & integrative genomics · 2024Article
- RNA m6A methylation regulators in sepsis.Molecular and cellular biochemistry · 2024Review
- Review
- IGF2BP3 modified GLI2 transcriptionally regulates SYVN1 and facilitates sepsis liver injury through autophagy.iScience · 2024Article
- Elevated WTAP promotes hyperinflammation by increasing m6A modification in inflammatory disease models.The Journal of clinical investigation · 2024Article
- Molecular characterization of m6A RNA methylation regulators with features of immune dysregulation in IgA nephropathy.Clinical and experimental medicine · 2024Article
- Novel insights into the regulatory role of N6-methyladenosine methylation modified autophagy in sepsis.Aging · 2023Article
- Exploration of mBMC bioinformatics · 2023Article
- Identification and validation of key biomarkers based on RNA methylation genes in sepsis.Frontiers in immunology · 2023Article
- IFIH1/IRF1/STAT1 promotes sepsis associated inflammatory lung injury via activating macrophage M1 polarization.International immunopharmacology · 2023Article
- Dynamic m6A-ncRNAs association and their impact on cancer pathogenesis, immune regulation and therapeutic response.Genes & diseases · 2023Review
- Epigenome-wide association study of physical activity and physiological parameters in discordant monozygotic twins.Scientific reports · 2022Article
- Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury.Annals of translational medicine · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSepsis is a highly heterogeneous syndrome with diverse immune status and varied bioprocesses among individuals. The heterogeneity of sepsis could be associated with N6-methyladenosine (m6A) RNA methylation, due to m6A as a common and reversible posttranscriptional RNA modification involved in the regulation of whole bioprocesses. Therefore, we aim to identify m6A induced molecular subtypes of sepsis and furthermore explore the probable mechanism.
methodsGene expression datasets with 479 consecutive patients admitted for sepsis to the intensive care unit (ICU) in the Amsterdam Academic Medical Center were included in present study at first. Secondly, twelve m6A methylation regulatory genes were determined via systematic review in published researches. Furthermore, we utilized unsupervised clustering (consensus k means clustering) to identify m6A induced molecular subtypes in sepsis based on m6A prognostic molecular, and assess the association of these subtypes with clinical traits and survival outcomes. Moreover, the probable mechanism and regulatory relationship of m6A in sepsis was also explored through Gene Set Enrichment Analysis (GSEA), Weighted gene co-expression network analysis (WGCNA), Gene Ontology (GO) analysis and Co-expression analysis.
resultsThree m6A subtypes with different outcome were identified in sepsis cohort through unsupervised clustering on m6A prognostic molecular, designated Cluster 1/2/3 (log-rank P=0.004). The best outcome was found for patients classified as having cluster 3, and at 28 days, 21 of 144 people with cluster 3 had died [hazard ratio (HR)
conclusionsAccording to the heterogeneity in m6A methylation regulatory genes, three distinct subtypes in sepsis were identified with different RNA epigenetics, immune status, biological processes and outcomes, which initially uncovered that heterogeneity of sepsis may be largely caused by m6A RNA methylation.
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