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CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries. However, the protein biomarker pipeline is small....
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423361/ https://www.ncbi.nlm.nih.gov/pubmed/34403447 http://dx.doi.org/10.1371/journal.ppat.1009773 |
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author | Koyuncu, Deniz Niazi, Muhammad Khalid Khan Tavolara, Thomas Abeijon, Claudia Ginese, Melanie L. Liao, Yanghui Mark, Carolyn Specht, Aubrey Gower, Adam C. Restrepo, Blanca I. Gatti, Daniel M. Kramnik, Igor Gurcan, Metin Yener, Bülent Beamer, Gillian |
author_facet | Koyuncu, Deniz Niazi, Muhammad Khalid Khan Tavolara, Thomas Abeijon, Claudia Ginese, Melanie L. Liao, Yanghui Mark, Carolyn Specht, Aubrey Gower, Adam C. Restrepo, Blanca I. Gatti, Daniel M. Kramnik, Igor Gurcan, Metin Yener, Bülent Beamer, Gillian |
author_sort | Koyuncu, Deniz |
collection | PubMed |
description | More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries. However, the protein biomarker pipeline is small. Here, we used the Diversity Outbred (DO) mouse population to address this gap, identifying five protein biomarker candidates. One protein biomarker, serum CXCL1, met the World Health Organization’s Targeted Product Profile for a triage test to diagnose active TB from latent M.tb infection (LTBI), non-TB lung disease, and normal sera in HIV-negative, adults from South Africa and Vietnam. To find the biomarker candidates, we quantified seven immune cytokines and four inflammatory proteins corresponding to highly expressed genes unique to progressor DO mice. Next, we applied statistical and machine learning methods to the data, i.e., 11 proteins in lungs from 453 infected and 29 non-infected mice. After searching all combinations of five algorithms and 239 protein subsets, validating, and testing the findings on independent data, two combinations accurately diagnosed progressor DO mice: Logistic Regression using MMP8; and Gradient Tree Boosting using a panel of 4: CXCL1, CXCL2, TNF, IL-10. Of those five protein biomarker candidates, two (MMP8 and CXCL1) were crucial for classifying DO mice; were above the limit of detection in most human serum samples; and had not been widely assessed for diagnostic performance in humans before. In patient sera, CXCL1 exceeded the triage diagnostic test criteria (>90% sensitivity; >70% specificity), while MMP8 did not. Using Area Under the Curve analyses, CXCL1 averaged 94.5% sensitivity and 88.8% specificity for active pulmonary TB (ATB) vs LTBI; 90.9% sensitivity and 71.4% specificity for ATB vs non-TB; and 100.0% sensitivity and 98.4% specificity for ATB vs normal sera. Our findings overall show that the DO mouse population can discover diagnostic-quality, serum protein biomarkers of human TB. |
format | Online Article Text |
id | pubmed-8423361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84233612021-09-08 CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice Koyuncu, Deniz Niazi, Muhammad Khalid Khan Tavolara, Thomas Abeijon, Claudia Ginese, Melanie L. Liao, Yanghui Mark, Carolyn Specht, Aubrey Gower, Adam C. Restrepo, Blanca I. Gatti, Daniel M. Kramnik, Igor Gurcan, Metin Yener, Bülent Beamer, Gillian PLoS Pathog Research Article More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries. However, the protein biomarker pipeline is small. Here, we used the Diversity Outbred (DO) mouse population to address this gap, identifying five protein biomarker candidates. One protein biomarker, serum CXCL1, met the World Health Organization’s Targeted Product Profile for a triage test to diagnose active TB from latent M.tb infection (LTBI), non-TB lung disease, and normal sera in HIV-negative, adults from South Africa and Vietnam. To find the biomarker candidates, we quantified seven immune cytokines and four inflammatory proteins corresponding to highly expressed genes unique to progressor DO mice. Next, we applied statistical and machine learning methods to the data, i.e., 11 proteins in lungs from 453 infected and 29 non-infected mice. After searching all combinations of five algorithms and 239 protein subsets, validating, and testing the findings on independent data, two combinations accurately diagnosed progressor DO mice: Logistic Regression using MMP8; and Gradient Tree Boosting using a panel of 4: CXCL1, CXCL2, TNF, IL-10. Of those five protein biomarker candidates, two (MMP8 and CXCL1) were crucial for classifying DO mice; were above the limit of detection in most human serum samples; and had not been widely assessed for diagnostic performance in humans before. In patient sera, CXCL1 exceeded the triage diagnostic test criteria (>90% sensitivity; >70% specificity), while MMP8 did not. Using Area Under the Curve analyses, CXCL1 averaged 94.5% sensitivity and 88.8% specificity for active pulmonary TB (ATB) vs LTBI; 90.9% sensitivity and 71.4% specificity for ATB vs non-TB; and 100.0% sensitivity and 98.4% specificity for ATB vs normal sera. Our findings overall show that the DO mouse population can discover diagnostic-quality, serum protein biomarkers of human TB. Public Library of Science 2021-08-17 /pmc/articles/PMC8423361/ /pubmed/34403447 http://dx.doi.org/10.1371/journal.ppat.1009773 Text en © 2021 Koyuncu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Koyuncu, Deniz Niazi, Muhammad Khalid Khan Tavolara, Thomas Abeijon, Claudia Ginese, Melanie L. Liao, Yanghui Mark, Carolyn Specht, Aubrey Gower, Adam C. Restrepo, Blanca I. Gatti, Daniel M. Kramnik, Igor Gurcan, Metin Yener, Bülent Beamer, Gillian CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title | CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title_full | CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title_fullStr | CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title_full_unstemmed | CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title_short | CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice |
title_sort | cxcl1: a new diagnostic biomarker for human tuberculosis discovered using diversity outbred mice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423361/ https://www.ncbi.nlm.nih.gov/pubmed/34403447 http://dx.doi.org/10.1371/journal.ppat.1009773 |
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