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

OBJECTIVE: To identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB). METHODS: 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 o...

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Autores principales: Ferrian, Selena, Manca, Claudia, Lubbe, Sugnet, Conradie, Francesca, Ismail, Nazir, Kaplan, Gilla, Gray, Clive M., Fallows, Dorothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413057/
https://www.ncbi.nlm.nih.gov/pubmed/28464011
http://dx.doi.org/10.1371/journal.pone.0176660
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author Ferrian, Selena
Manca, Claudia
Lubbe, Sugnet
Conradie, Francesca
Ismail, Nazir
Kaplan, Gilla
Gray, Clive M.
Fallows, Dorothy
author_facet Ferrian, Selena
Manca, Claudia
Lubbe, Sugnet
Conradie, Francesca
Ismail, Nazir
Kaplan, Gilla
Gray, Clive M.
Fallows, Dorothy
author_sort Ferrian, Selena
collection PubMed
description OBJECTIVE: To identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB). METHODS: 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. RESULTS: 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. CONCLUSION: 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.
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spelling pubmed-54130572017-05-14 A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis Ferrian, Selena Manca, Claudia Lubbe, Sugnet Conradie, Francesca Ismail, Nazir Kaplan, Gilla Gray, Clive M. Fallows, Dorothy PLoS One Research Article OBJECTIVE: To identify plasma markers predictive of therapeutic response in patients with multidrug resistant tuberculosis (MDR-TB). METHODS: 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. RESULTS: 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. CONCLUSION: 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. Public Library of Science 2017-05-02 /pmc/articles/PMC5413057/ /pubmed/28464011 http://dx.doi.org/10.1371/journal.pone.0176660 Text en © 2017 Ferrian et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Ferrian, Selena
Manca, Claudia
Lubbe, Sugnet
Conradie, Francesca
Ismail, Nazir
Kaplan, Gilla
Gray, Clive M.
Fallows, Dorothy
A combination of baseline plasma immune markers can predict therapeutic response in multidrug resistant tuberculosis
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413057/
https://www.ncbi.nlm.nih.gov/pubmed/28464011
http://dx.doi.org/10.1371/journal.pone.0176660
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