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

Identifying Key Regulatory Genes in the Whole Blood of Septic Patients to Monitor Underlying Immune Dysfunctions

26 Jun 2013

Abstract excerpt

There is currently no reliable tool available to measure immune dysfunction in septic patients in the clinical setting. This proof-of-concept study assesses the potential of gene expression profiling of whole blood as a tool to monitor immune dysfunction in critically ill septic patients. Whole-blood samples were collected daily for up to 5 days from patients admitted to the intensive care unit with sepsis. RNA...

Read the complete abstract on PubMed

Topics

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

Share to Adrenal Hormones and Disorders
Share to Clusterin in disease pathology
Share to Sepsis Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 23807251
DOI: 10.1097/shk.0b013e31829ee604

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

Identifying Key Regulatory Genes in the Whole Blood of Septic Patients to Monitor Underlying Immune DysfunctionsPMID 23807251Read ↗

Transcriptomic Profiling Reveals Distinct Immune Dysregulation in Early-Stage Sepsis PatientsSemantic proximity Read ↗

Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumoniaSemantic proximity Read ↗

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

Gene-expression profiling of peripheral blood mononuclear cells in sepsis*Semantic proximity Read ↗

Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsisSemantic proximity Read ↗

Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics AnalysisSemantic proximity Read ↗

Early and dynamic changes in gene expression in septic shock patients: a genome-wide approachSemantic proximity Read ↗

Comprehensive analysis of lymphocyte subsets and transcriptome profiles in sepsis-induced acute respiratory distress syndrome: a prospective, observational studySemantic proximity Read ↗

A Meta-Analysis of Whole Blood Transcriptome Reveals Association of Increased Neutrophil Activity and T cell Suppression in SepsisSemantic proximity Read ↗

Identification of key biomarkers and therapeutic targets in sepsis through coagulation-related gene expression and immune pathway analysisSemantic proximity Read ↗

Unique lymphocyte transcriptomic profiles in septic patients with chronic critical illnessSemantic proximity Read ↗

Single-cell transcriptomics identifies different immune signatures between macrophage activation-like syndrome and immune paralysis in sepsisSemantic proximity Read ↗

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