A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.

To identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB).Fifty HIV-negative patients with active pulmonary MDR-TB were analysed for six soluble analytes in plasma at the time of initiating treatment (baseline) and over six months therea...

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Main Authors: Selena Ferrian, Claudia Manca, Sugnet Lubbe, Francesca Conradie, Nazir Ismail, Gilla Kaplan, Clive M Gray, Dorothy Fallows
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5413057?pdf=render
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spelling doaj-0b574b0aeef14094ad2f1804e0d6eded2020-11-24T21:34:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01125e017666010.1371/journal.pone.0176660A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.Selena FerrianClaudia MancaSugnet LubbeFrancesca ConradieNazir IsmailGilla KaplanClive M GrayDorothy FallowsTo identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB).Fifty HIV-negative patients with active pulmonary MDR-TB were analysed for six soluble analytes in plasma at the time of initiating treatment (baseline) and over six months thereafter. Patients were identified as sputum culture positive or negative at baseline. Culture positive patients were further stratified by the median time to sputum culture conversion (SCC) as fast responders (< 76 days) or slow responders (≥ 76 days). Chest X-ray scores, body mass index, and sputum smear microscopy results were obtained at baseline.Unsupervised hierarchical clustering revealed that baseline plasma levels of IP-10/CXCL10, VEGF-A, SAA and CRP could distinguish sputum culture and cavitation status of patients. Among patients who were culture positive at baseline, there were significant positive correlations between plasma levels of CRP, SAA, VEGF-A, sIL-2Rα/CD40, and IP-10 and delayed SCC. Using linear discriminant analysis (LDA) and Receiver Operating Curves (ROC), we showed that a combination of MCP-1/CCL2, IP-10, sIL-2Rα, SAA, CRP and AFB smear could distinguish fast from slow responders and were predictive of delayed SCC with high sensitivity and specificity.Plasma levels of specific chemokines and inflammatory markers measured before MDR-TB treatment are candidate predictive markers of delayed SCC. These findings require validation in a larger study.http://europepmc.org/articles/PMC5413057?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Selena Ferrian
Claudia Manca
Sugnet Lubbe
Francesca Conradie
Nazir Ismail
Gilla Kaplan
Clive M Gray
Dorothy Fallows
spellingShingle Selena Ferrian
Claudia Manca
Sugnet Lubbe
Francesca Conradie
Nazir Ismail
Gilla Kaplan
Clive M Gray
Dorothy Fallows
A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
PLoS ONE
author_facet Selena Ferrian
Claudia Manca
Sugnet Lubbe
Francesca Conradie
Nazir Ismail
Gilla Kaplan
Clive M Gray
Dorothy Fallows
author_sort Selena Ferrian
title A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
title_short A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
title_full A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
title_fullStr A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
title_full_unstemmed A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
title_sort combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description To identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB).Fifty HIV-negative patients with active pulmonary MDR-TB were analysed for six soluble analytes in plasma at the time of initiating treatment (baseline) and over six months thereafter. Patients were identified as sputum culture positive or negative at baseline. Culture positive patients were further stratified by the median time to sputum culture conversion (SCC) as fast responders (< 76 days) or slow responders (≥ 76 days). Chest X-ray scores, body mass index, and sputum smear microscopy results were obtained at baseline.Unsupervised hierarchical clustering revealed that baseline plasma levels of IP-10/CXCL10, VEGF-A, SAA and CRP could distinguish sputum culture and cavitation status of patients. Among patients who were culture positive at baseline, there were significant positive correlations between plasma levels of CRP, SAA, VEGF-A, sIL-2Rα/CD40, and IP-10 and delayed SCC. Using linear discriminant analysis (LDA) and Receiver Operating Curves (ROC), we showed that a combination of MCP-1/CCL2, IP-10, sIL-2Rα, SAA, CRP and AFB smear could distinguish fast from slow responders and were predictive of delayed SCC with high sensitivity and specificity.Plasma levels of specific chemokines and inflammatory markers measured before MDR-TB treatment are candidate predictive markers of delayed SCC. These findings require validation in a larger study.
url http://europepmc.org/articles/PMC5413057?pdf=render
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