A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations.

Cell Rep Med

Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA; Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA. Electronic address:

Published: December 2022

AI Article Synopsis

  • Current diagnostics for infections often mislead doctors into wrongly prescribing antibiotics due to their limited accuracy.
  • A study analyzing 4,200 samples across various countries found that existing host-response gene signatures struggle to accurately differentiate between intracellular bacterial infections and viral infections, though they perform better with extracellular bacterial infections.
  • Researchers identified an 8-gene signature that significantly improves diagnostic accuracy, achieving high sensitivity and specificity in distinguishing between bacterial and viral infections, which aligns with WHO standards for effective diagnostic tools.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797950PMC
http://dx.doi.org/10.1016/j.xcrm.2022.100842DOI Listing

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