ArticleCell reports. Medicine2022
A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Integrating host mRNA signatures and clinical trajectories with machine learning for risk stratification and survival prediction in sepsis: an ICU-based prospective cohort study.BMC infectious diseases · 2026Article
- Patient representation in RNA signature studies for detecting and predicting the outcomes of febrile illnesses: a scoping review.BMC infectious diseases · 2026Article
- Host gene expression analysis in the detection of bacterial and viral etiology in children hospitalized with a suspected severe infection.Communications medicine · 2026Article
- Blood Host-Response mRNA Assays in Adult Acute Care: Diagnostic Performance, Translational Evidence, and the Clinical Implementation Gap.Infection and drug resistance · 2026Review
- Oxford Nanopore Sequencing in pediatric emergency infectious diseases: from rapid diagnosis to precision medicine.Frontiers in cellular and infection microbiology · 2026Review
- A four-gene signature from blood to exclude bacterial etiology of lower respiratory tract infection in adults.Nature communications · 2025Article
- Multi-cohort analysis identifies a blood-based immune transcriptomic signature for early lung cancer detection.NPJ precision oncology · 2025Article
- A Four-Gene Signature from Blood to Exclude Bacterial Etiology of Lower Respiratory Tract Infection in Adults.Research square · 2025Article
- Next generation bioelectronic medicine: making the case for non-invasive closed-loop autonomic neuromodulation.Bioelectronic medicine · 2025Review
- Interferon-Stimulated Genes and Immune Metabolites as Broad-Spectrum Biomarkers for Viral Infections.Viruses · 2025Review
- The disturbance of ABC transporters in patients with dengue fever: integration of metabolomics and transcriptomics.Frontiers in cellular and infection microbiology · 2025Article
- Development of a host-signature-based machine learning model to diagnose bacterial and viral infections in febrile children.Frontiers in pediatrics · 2025Article
- Harnessing the host response for precision infectious disease diagnosis.Clinical microbiology reviews · 2024Review
- SARS-CoV-2 human challenge reveals biomarkers that discriminate early and late phases of respiratory viral infections.Nature communications · 2024Article
- Protein and transcriptional biomarker profiling may inform treatment strategies in lower respiratory tract infections by indicating bacterial-viral differentiation.Microbiology spectrum · 2024Article
- Sepsis endotypes identified by host gene expression across global cohorts.Communications medicine · 2024Article
- Gene expression signatures in blood from a West African sepsis cohort define host response phenotypes.Nature communications · 2024Article
- Reframing sepsis immunobiology for translation: towards informative subtyping and targeted immunomodulatory therapies.The Lancet. Respiratory medicine · 2024Review
- Using the Traditional Ex Vivo Whole Blood Model to Discriminate Bacteria by Their Inducible Host Responses.Biomedicines · 2024Article
- Transfer RNA-derived fragment production in calves challenged withFrontiers in veterinary science · 2024Article
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Abstract
Limited sensitivity and specificity of current diagnostics lead to the erroneous prescription of antibiotics. Host-response-based diagnostics could address these challenges. However, using 4,200 samples across 69 blood transcriptome datasets from 20 countries from patients with bacterial or viral infections representing a broad spectrum of biological, clinical, and technical heterogeneity, we show current host-response-based gene signatures have lower accuracy to distinguish intracellular bacterial infections from viral infections than extracellular bacterial infections. Using these 69 datasets, we identify an 8-gene signature to distinguish intracellular or extracellular bacterial infections from viral infections with an area under the receiver operating characteristic curve (AUROC) > 0.91 (85.9% specificity and 90.2% sensitivity). In prospective cohorts from Nepal and Laos, the 8-gene classifier distinguished bacterial infections from viral infections with an AUROC of 0.94 (87.9% specificity and 91% sensitivity). The 8-gene signature meets the target product profile proposed by the World Health Organization and others for distinguishing bacterial and viral infections.
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