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

Abstract

Methods: We used the NanoString platform to evaluate the expression of 594 inflammatory genes in whole blood samples from 35 participants, including individuals with active TB, LTBI, asthma (OPD), and healthy controls.

Results: Nine genes (CD274, CEACAM1, CR1, FCGR1A/B, IFITM1, IRAK3, LILRA6, MAPK14, PDCD1LG2) distinguished active TB from OPD with 100% sensitivity and specificity. Additionally, seven genes (C1QB, C2, CCR2, CCRL2, LILRB4, MAPK14, MSR1) distinguished TB from LTBI with sensitivity and specificity between 82% and 100%. CCR2 and C1QB were particularly promising for predicting TB reactivation.

Conclusion: The study identified single-gene candidates that can accurately discriminate active TB from other conditions. These markers may serve as non-sputum-based diagnostic tools and predictive markers for TB reactivation.

Keywords: Tuberculosis; Latent TB infection; mRNA expression; Biomarkers; NanoString.

Clique aqui

• Data de Publicação: 16/12/2020
• Autores: Jéssica D. Petrilli1,7, Luana E.Araújo1,7, Luciane Sussuchi da Silva2 , Ana Carolina Laus2 , Igor Müller1 , Rui Manuel Reis2,3,4, Eduardo Martins Netto5 , LeeW. Riley6 , SérgioArruda1 & Adriano Queiroz1*