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 and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS

23 Aug 2025

Abstract excerpt

Acute respiratory distress syndrome (ARDS) is one of the most common and serious complications in the development of sepsis. Endoplasmic reticulum stress (ERS) plays an important role in the pathophysiologic process of sepsis-associated ARDS. The aim of this study was to identify and analyze hub genes related to ERS in sepsis-associated ARDS using bioinformatics and machine learning algorithms, which may serve as...

Read the complete abstract on PubMed

Topics

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

Share to Autophagy in Disease and Therapy
Share to Endoplasmic Reticulum Stress and Disease
Share to Phagocytosis and Immune Regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40849369
DOI: 10.1038/s41598-025-16644-8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDSPMID 40849369Read ↗

Identification of immune-related endoplasmic reticulum stress genes in sepsis using bioinformatics 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 ↗

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

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

Identification of Potential Biomarkers for Nonsurvivor Sepsis Patients via Microarray Technology: A Study Based on GEO DatasetsSemantic proximity Read ↗

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

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

Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning frameworkSemantic proximity Read ↗

Identification of key immune genes for sepsis-induced ARDS based on bioinformatics analysisSemantic proximity Read ↗

Novel insights into the molecular mechanisms of sepsis-associated acute kidney injury: an integrative study of GBP2, PSMB8, PSMB9 genes and immune microenvironment characteristicsSemantic proximity Read ↗

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

Role of cellular senescence genes and Immune Infiltration in sepsis and sepsis-induced ARDS based on bioinformatics analysisSemantic proximity Read ↗

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