Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Genes with Altered Methylation and Its Role in Early Diagnosis of Sepsis-Induced Acute Respiratory Distress Syndrome

1 Jan 2021

Abstract excerpt

PURPOSE: Early diagnosis of sepsis-induced acute respiratory distress syndrome (ARDS) is critical for effective treatment. We aimed to identify early stage biomarkers. MATERIALS AND METHODS: Differentially expressed genes were identified in whole blood samples from patients with sepsis or ARDS based on the Gene Expression Omnibus (GEO) datasets GSE32707, GSE54514 and GSE10361. Functional enrichment analysis...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Immune Response and Inflammation
Share to Inflammation biomarkers and pathways
Share to Sepsis Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33536775
DOI: 10.2147/ijgm.s287960

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Genes with Altered Methylation and Its Role in Early Diagnosis of Sepsis-Induced Acute Respiratory Distress SyndromePMID 33536775Read ↗

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

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

Identification of hub genes and prediction of the ceRNA network in adult sepsisSemantic proximity Read ↗

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

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

Network analysis identifies a gene biomarker panel for sepsis-induced acute respiratory distress syndromeSemantic proximity Read ↗

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

Diagnostic and Predictive Values of Ferroptosis-Related Genes in Child SepsisSemantic proximity Read ↗

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

Screening of Sepsis Biomarkers Based on Bioinformatics Data AnalysisSemantic proximity Read ↗

Prognostic Genes of Sepsis-induced ARDS identified by Gene Co- expression Network AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.