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 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.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Petrilli JD,Araújo LE,da Silva LS,Laus AC,Müller I,Reis RM,Netto EM,Riley LW,Arruda S,Queiroz A

doi

10.1038/s41598-020-78793-2

subject

Has Abstract

pub_date

2020-12-16 00:00:00

pages

22072

issue

1

issn

2045-2322

pii

10.1038/s41598-020-78793-2

journal_volume

10

pub_type

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