Article

WGCNA Reveal Potential Diagnosis Biomarkers and Therapeutic Targets for COVID-19 Infection in Patients with Sepsis

2022-11-17

Abstract excerpt

<h4>Background: </h4> Sepsis patients have the worst outcomes when affected by coronavirus disease 2019 (COVID-19). Unknown are the molecular mechanisms underlying the relationship between sepsis and COVID-19. The primary purpose of the present work was to establish whether there is interaction between COVID-19 and sepsis in terms of molecular perturbation and to uncover a molecular signature, molecular networks,...

Topics

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

Identifiers and source

Literature Corpus work: b260a13e-0cc1-58e0-9bbf-083a4682fa8e
DOI: 10.21203/rs.3.rs-2217607/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

WGCNA Reveal Potential Diagnosis Biomarkers and Therapeutic Targets for COVID-19 Infection in Patients with SepsisDOI 10.21203/rs.3.rs-2217607/v1Read

Identification and Analysis of Shared Risk Factors in Sepsis and High Mortality Risk COVID-19 PatientsSemantic 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

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

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

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

Identification of key genes and novel immune infiltration-associated biomarkers of sepsisSemantic proximity Read

A comprehensive analysis of immune features and construction of an immune gene diagnostic model for sepsisSemantic proximity Read

Construction of gene network database, and identification of key genes for diagnosis, prognosis, and treatment in sepsisSemantic proximity Read

Comparative Analysis of Host Responses Between Sepsis and COVID-19: A Prospective Observational Study of Whole Blood TranscriptomeSemantic proximity Read

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

Predicting severity in COVID-19 disease using sepsis blood gene expression signaturesSemantic proximity Read

Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics AnalysisSemantic proximity Read