ArticleScientific reports2017
Transcriptomic Biomarkers to Discriminate Bacterial from Nonbacterial Infection in Adults Hospitalized with Respiratory Illness.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed, 71 citations in OpenAlex.
- Host-response biomarker panels for distinguishing selected acute respiratory viral-bacterial co-infections from mono-infections.iScience · 2026Review
- Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine.Molecular & cellular proteomics : MCP · 2025Review
- A four-gene signature from blood to exclude bacterial etiology of lower respiratory tract infection in adults.Nature communications · 2025Article
- Minimal gene signatures enable high-accuracy prediction of antibiotic resistance in Pseudomonas aeruginosa.NPJ systems biology and applications · 2025Article
- Development of a Reference Standard to Assign Bacterial Versus Viral Infection Etiology Using an All-inclusive Methodology for Comparison of Novel Diagnostic Tool Performance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults.Research square · 2025Article
- Transcriptomic Biomarkers Associated With Microbiological Etiology and Disease Severity in Childhood Pneumonia.The Journal of infectious diseases · 2025Article
- Low expression of the CCL5 gene and low serum concentrations of CCL5 in severe invasive group a streptococcal disease.Infection · 2025Article
- A two-transcript classifier model of host genes for discrimination of bacterial from viral infection in ulcerative colitis with opportunistic infections: a discovery and validation study.Frontiers in immunology · 2025Article
- Harnessing the host response for precision infectious disease diagnosis.Clinical microbiology reviews · 2024Review
- Longitudinal transcriptomic analysis reveals persistent enrichment of iron homeostasis and erythrocyte function pathways in severe COVID-19 ARDS.Frontiers in immunology · 2024Article
- A Systematic Review of Gene Expression Studies in Critically Ill Patients with Sepsis and Community-Acquired Pneumonia.Biomedicines · 2023Review
- Sepsis heterogeneity.World journal of pediatrics : WJP · 2023Review
- Integrating host transcriptomic signatures for distinguishing autoimmune encephalitis in cerebrospinal fluid by metagenomic sequencing.Cell & bioscience · 2023Article
- Gene Expression Risk Scores for COVID-19 Illness Severity.The Journal of infectious diseases · 2023Article
- Article
- The Microbial Etiology of Community-Acquired Pneumonia in Adults: from Classical Bacteriology to Host Transcriptional Signatures.Clinical microbiology reviews · 2022Review
- An automated DNA computing platform for rapid etiological diagnostics.Science advances · 2022Article
- Combining pathogen and host metagenomics for a better sepsis diagnostic.Nature microbiology · 2022Article
- Advances in diagnostic tools for respiratory tract infections: from tuberculosis to COVID-19 - changing paradigms?ERJ open research · 2022Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Lower respiratory tract infection (LRTI) commonly causes hospitalization in adults. Because bacterial diagnostic tests are not accurate, antibiotics are frequently prescribed. Peripheral blood gene expression to identify subjects with bacterial infection is a promising strategy. We evaluated whole blood profiling using RNASeq to discriminate infectious agents in adults with microbiologically defined LRTI. Hospitalized adults with LRTI symptoms were recruited. Clinical data and blood was collected, and comprehensive microbiologic testing performed. Gene expression was measured using RNASeq and qPCR. Genes discriminatory for bacterial infection were identified using the Bonferroni-corrected Wilcoxon test. Constrained logistic models to predict bacterial infection were fit using screened LASSO. We enrolled 94 subjects who were microbiologically classified; 53 as "non-bacterial" and 41 as "bacterial". RNAseq and qPCR confirmed significant differences in mean expression for 10 genes previously identified as discriminatory for bacterial LRTI. A novel dimension reduction strategy selected three pathways (lymphocyte, α-linoleic acid metabolism, IGF regulation) including eleven genes as optimal markers for discriminating bacterial infection (naïve AUC = 0.94; nested CV-AUC = 0.86). Using these genes, we constructed a classifier for bacterial LRTI with 90% (79% CV) sensitivity and 83% (76% CV) specificity. This novel, pathway-based gene set displays promise as a method to distinguish bacterial from nonbacterial LRTI.
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Registered trials
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