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 Repjournal_title
Scientific reportsauthors
Petrilli JD,Araújo LE,da Silva LS,Laus AC,Müller I,Reis RM,Netto EM,Riley LW,Arruda S,Queiroz Adoi
10.1038/s41598-020-78793-2subject
Has Abstractpub_date
2020-12-16 00:00:00pages
22072issue
1issn
2045-2322pii
10.1038/s41598-020-78793-2journal_volume
10pub_type
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