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

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...

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Bibliographic Details
Published in:Scientific reports 2020-12, Vol.10 (1), p.22072-22072, Article 22072
Main Authors: Petrilli, Jéssica D., Araújo, Luana E., da Silva, Luciane Sussuchi, Laus, Ana Carolina, Müller, Igor, Reis, Rui Manuel, Netto, Eduardo Martins, Riley, Lee W., Arruda, Sérgio, Queiroz, Adriano
Format: Article
Language:English
Subjects:
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Adolescent
Adult
CCR2 protein
CD66 antigen
CEACAM1 protein
Disease
Fc receptors
Female
Gene expression
Gene Expression Regulation
Humanities and Social Sciences
Humans
Infections
Latent infection
Latent Tuberculosis - blood
Latent Tuberculosis - diagnosis
Lung diseases
Male
Middle Aged
Monocyte chemoattractant protein 1
multidisciplinary
Mycobacterium tuberculosis - metabolism
RNA, Messenger - blood
Science
Science (multidisciplinary)
Tuberculosis
Tuberculosis, Pulmonary - blood
Tuberculosis, Pulmonary - diagnosis
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Summary: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.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-78793-2