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

Multicohort Analysis of Whole-Blood Gene Expression Data Does Not Form a Robust Diagnostic for Acute Respiratory Distress Syndrome

17 Jan 2018

Abstract excerpt

OBJECTIVES: To identify a novel, generalizable diagnostic for acute respiratory distress syndrome using whole-blood gene expression arrays from multiple acute respiratory distress syndrome cohorts of varying etiologies. DATA SOURCES: We performed a systematic search for human whole-blood gene expression arrays of acute respiratory distress syndrome in National Institutes of Health Gene Expression Omnibus and...

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: 29337789
DOI: 10.1097/ccm.0000000000002839

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

Multicohort Analysis of Whole-Blood Gene Expression Data Does Not Form a Robust Diagnostic for Acute Respiratory Distress SyndromePMID 29337789Read ↗

Data driven analysis reveals shared transcriptome response and immune cell composition across aetiologies of critical illnessSemantic proximity Read ↗

A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene setSemantic proximity Read ↗

Acute Respiratory Distress Syndrome Molecular Phenotypes Have Distinct Lower Respiratory Tract Transcriptomes.Semantic proximity Read ↗

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

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

Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust ClustersSemantic proximity Read ↗

Rare genetic variant risks in patients with sepsis-associated acute respiratory distress syndromeSemantic proximity Read ↗

Gene expression signatures identify pediatric patients with multiple organ dysfunction who require advanced life support in the intensive care unitSemantic proximity Read ↗

An immune dysfunction score for stratification of patients with acute infection based on whole blood gene expressionSemantic proximity Read ↗

International multi-cohort analysis identifies novel framework for quantifying immune dysregulation in critical illness: results of the SUBSPACE consortiumSemantic proximity Read ↗

Understanding Heterogeneity in Biologic Phenotypes of Acute Respiratory Distress Syndrome by Leukocyte Expression ProfilesSemantic proximity Read ↗

Benchmarking Sepsis Gene Expression Diagnostics Using Public Data*Semantic proximity Read ↗

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