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A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations
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 in...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797950/ https://www.ncbi.nlm.nih.gov/pubmed/36543117 http://dx.doi.org/10.1016/j.xcrm.2022.100842 |
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author | Rao, Aditya M. Popper, Stephen J. Gupta, Sanjana Davong, Viengmon Vaidya, Krista Chanthongthip, Anisone Dittrich, Sabine Robinson, Matthew T. Vongsouvath, Manivanh Mayxay, Mayfong Nawtaisong, Pruksa Karmacharya, Biraj Thair, Simone A. Bogoch, Isaac Sweeney, Timothy E. Newton, Paul N. Andrews, Jason R. Relman, David A. Khatri, Purvesh |
author_facet | Rao, Aditya M. Popper, Stephen J. Gupta, Sanjana Davong, Viengmon Vaidya, Krista Chanthongthip, Anisone Dittrich, Sabine Robinson, Matthew T. Vongsouvath, Manivanh Mayxay, Mayfong Nawtaisong, Pruksa Karmacharya, Biraj Thair, Simone A. Bogoch, Isaac Sweeney, Timothy E. Newton, Paul N. Andrews, Jason R. Relman, David A. Khatri, Purvesh |
author_sort | Rao, Aditya M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9797950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97979502022-12-30 A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations Rao, Aditya M. Popper, Stephen J. Gupta, Sanjana Davong, Viengmon Vaidya, Krista Chanthongthip, Anisone Dittrich, Sabine Robinson, Matthew T. Vongsouvath, Manivanh Mayxay, Mayfong Nawtaisong, Pruksa Karmacharya, Biraj Thair, Simone A. Bogoch, Isaac Sweeney, Timothy E. Newton, Paul N. Andrews, Jason R. Relman, David A. Khatri, Purvesh Cell Rep Med Article 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. Elsevier 2022-12-20 /pmc/articles/PMC9797950/ /pubmed/36543117 http://dx.doi.org/10.1016/j.xcrm.2022.100842 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rao, Aditya M. Popper, Stephen J. Gupta, Sanjana Davong, Viengmon Vaidya, Krista Chanthongthip, Anisone Dittrich, Sabine Robinson, Matthew T. Vongsouvath, Manivanh Mayxay, Mayfong Nawtaisong, Pruksa Karmacharya, Biraj Thair, Simone A. Bogoch, Isaac Sweeney, Timothy E. Newton, Paul N. Andrews, Jason R. Relman, David A. Khatri, Purvesh A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title | A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title_full | A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title_fullStr | A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title_full_unstemmed | A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title_short | A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
title_sort | robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797950/ https://www.ncbi.nlm.nih.gov/pubmed/36543117 http://dx.doi.org/10.1016/j.xcrm.2022.100842 |
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