Article

Elucidation of Molecular Mechanisms in Sepsis and Identification of Potential Therapeutic Targets through Analysis of Aging-Related Genes

2023-11-02

Abstract excerpt

<h4>Background: </h4> Sepsis remains a crucial global health issue characterised by high mortality rates and a lack of specific treatments. This study aimed to elucidate the molecular mechanisms underlying sepsis and to identify potential therapeutic targets and compounds. Methods High-throughput sequencing data from the GEO database (GSE26440 as the training set and GSE13904 and GSE32707 as the validation sets),...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fe6133b9-feb6-569c-8864-c266aa7f2853
DOI: 10.21203/rs.3.rs-3511763/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Elucidation of Molecular Mechanisms in Sepsis and Identification of Potential Therapeutic Targets through Analysis of Aging-Related GenesDOI 10.21203/rs.3.rs-3511763/v1Read

Gene correlation network analysis to identify regulatory factors in sepsisSemantic proximity Read

Identification of Immune-Related Key Genes as Potential Diagnostic Biomarkers of Sepsis in ChildrenSemantic proximity Read

Bioinformatics and next generation data analysis reveals the potential role of inflammation in sepsis and its associated complicationsSemantic proximity Read

Comprehensive Analysis of Molecular Subtypes and Hub Genes of Sepsis by Gene Expression ProfilesSemantic proximity Read

Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDSSemantic proximity Read

Systematic Study to Unveil Novel Biomarkers, Regulatory Pathways and Exploring Therapeutic Targets for sepsis and associated complications Using Next Generation Sequencing Data Analysis and In Silico Drug DesignSemantic proximity Read

exploring the molecular mechanism of sepsis comprehensively based on multi-omics analysisSemantic proximity Read

Identification of common core genes and pathways of sepsis and cancer by bioinformatics analysisSemantic proximity Read

Identification of Hub Genes and Key Pathways Associated with Sepsis Progression Using Weighted Gene Co-Expression Network Analysis and Machine LearningSemantic proximity Read

Identification of ferroptosis-related key genes associated with immune infiltration in sepsis by bioinformatics analysis and in vivo validationSemantic proximity Read

Revealing the novel pyroptosis-related therapeutic targets for sepsis based on the machine learningSemantic proximity Read

Role of Cellular Senescence Genes and Immune Infiltration in Sepsis and Sepsis-Induced ARDS Based on Bioinformatics AnalysisSemantic proximity Read