Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases

Abstract Current diagnostic tests for tuberculosis (TB) are not able to predict reactivation disease progression from latent TB infection (LTBI). The main barrier to predicting reactivation disease is the lack of our understanding of host biomarkers associated with progression from latent infection...

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Autores principales:	Jéssica D. Petrilli, Luana E. Araújo, Luciane Sussuchi da Silva, Ana Carolina Laus, Igor Müller, Rui Manuel Reis, Eduardo Martins Netto, Lee W. Riley, Sérgio Arruda, Adriano Queiroz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4ce4b49915e44cb6b99d8ed6de0bfebc
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spelling	oai:doaj.org-article:4ce4b49915e44cb6b99d8ed6de0bfebc2021-12-02T12:42:18ZWhole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases10.1038/s41598-020-78793-22045-2322https://doaj.org/article/4ce4b49915e44cb6b99d8ed6de0bfebc2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78793-2https://doaj.org/toc/2045-2322Abstract Current diagnostic tests for tuberculosis (TB) are not able to predict reactivation disease progression from latent TB infection (LTBI). The main barrier to predicting reactivation disease is the lack of our understanding of host biomarkers associated with progression from latent infection to active disease. Here, we applied an immune-based gene expression profile by NanoString platform to identify whole blood markers that can distinguish active TB from other lung diseases (OPD), and that could be further evaluated as a reactivation TB predictor. Among 23 candidate genes that differentiated patients with active TB from those with OPD, nine genes (CD274, CEACAM1, CR1, FCGR1A/B, IFITM1, IRAK3, LILRA6, MAPK14, PDCD1LG2) demonstrated sensitivity and specificity of 100%. Seven genes (C1QB, C2, CCR2, CCRL2, LILRB4, MAPK14, MSR1) distinguished TB from LTBI with sensitivity and specificity between 82 and 100%. This study identified single gene candidates that distinguished TB from OPD and LTBI with high sensitivity and specificity (both > 82%), which may be further evaluated as diagnostic for disease and as predictive markers for reactivation TB.Jéssica D. PetrilliLuana E. AraújoLuciane Sussuchi da SilvaAna Carolina LausIgor MüllerRui Manuel ReisEduardo Martins NettoLee W. RileySérgio ArrudaAdriano QueirozNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jéssica D. Petrilli Luana E. Araújo Luciane Sussuchi da Silva Ana Carolina Laus Igor Müller Rui Manuel Reis Eduardo Martins Netto Lee W. Riley Sérgio Arruda Adriano Queiroz Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
description	Abstract Current diagnostic tests for tuberculosis (TB) are not able to predict reactivation disease progression from latent TB infection (LTBI). The main barrier to predicting reactivation disease is the lack of our understanding of host biomarkers associated with progression from latent infection to active disease. Here, we applied an immune-based gene expression profile by NanoString platform to identify whole blood markers that can distinguish active TB from other lung diseases (OPD), and that could be further evaluated as a reactivation TB predictor. Among 23 candidate genes that differentiated patients with active TB from those with OPD, nine genes (CD274, CEACAM1, CR1, FCGR1A/B, IFITM1, IRAK3, LILRA6, MAPK14, PDCD1LG2) demonstrated sensitivity and specificity of 100%. Seven genes (C1QB, C2, CCR2, CCRL2, LILRB4, MAPK14, MSR1) distinguished TB from LTBI with sensitivity and specificity between 82 and 100%. This study identified single gene candidates that distinguished TB from OPD and LTBI with high sensitivity and specificity (both > 82%), which may be further evaluated as diagnostic for disease and as predictive markers for reactivation TB.
format	article
author	Jéssica D. Petrilli Luana E. Araújo Luciane Sussuchi da Silva Ana Carolina Laus Igor Müller Rui Manuel Reis Eduardo Martins Netto Lee W. Riley Sérgio Arruda Adriano Queiroz
author_facet	Jéssica D. Petrilli Luana E. Araújo Luciane Sussuchi da Silva Ana Carolina Laus Igor Müller Rui Manuel Reis Eduardo Martins Netto Lee W. Riley Sérgio Arruda Adriano Queiroz
author_sort	Jéssica D. Petrilli
title	Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
title_short	Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
title_full	Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
title_fullStr	Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
title_full_unstemmed	Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
title_sort	whole blood mrna expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/4ce4b49915e44cb6b99d8ed6de0bfebc
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Whole blood mRNA expression-based targets to discriminate active tuberculosis from latent infection and other pulmonary diseases

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