A serum circulating miRNA signature for short-term risk of progression to active tuberculosis among household contacts

Abstract
ENGLISH ABSTRACT: Biomarkers that predict who among recently Mycobacterium tuberculosis (MTB)-exposed individuals will progress to active tuberculosis are urgently needed. Intracellular microRNAs (miRNAs) regulate the host response to MTB and circulating miRNAs (c-miRNAs) have been developed as biomarkers for other diseases. We performed machine-learning analysis of c-miRNA measurements in the serum of adult household contacts (HHCs) of TB index cases from South Africa and Uganda and developed a c-miRNA-based signature of risk for progression to active TB. This c-miRNA-based signature significantly discriminated HHCs within 6 months of progression to active disease from HHCs that remained healthy in an independent test set [ROC area under the ROC curve (AUC) 0.74, progressors < 6 Mo to active TB and ROC AUC 0.66, up to 24 Mo to active TB], and complements the predictions of a previous cellular mRNA-based signature of TB risk.
Description
CITATION: Duffy, F. J., et al. 2018. A serum circulating miRNA signature for short-term risk of progression to active tuberculosis among household contacts. Frontiers in Immunology, 9:661, doi:10.3389/fimmu.2018.00661.
The original publication is available at https://www.frontiersin.org
Keywords
Tuberculosis, Biochemical markers, Machine learning, Serum
Citation
Duffy, F. J., et al. 2018. A serum circulating miRNA signature for short-term risk of progression to active tuberculosis among household contacts. Frontiers in Immunology, 9:661, doi:10.3389/fimmu.2018.00661