A Serum Circulating miRNA Signature for Short-Term Risk of Progression to Active Tuberculosis Among Household Contacts
Duffy FJ, Thompson E, Downing K, Suliman S, Mayanja-Kizza H, Boom WH, Thiel B, Weiner Iii J, et al. (17 authors)
Frontiers in immunology · 2018-04
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.
MeSH terms
- Humans
- Mycobacterium tuberculosis
- Tuberculosis, Pulmonary
- Disease Progression
- Contact Tracing
- Risk
- Adolescent
- Adult
- Uganda
- South Africa
- Female
- Male
- Young Adult
- Biomarkers
- Machine Learning
- Circulating MicroRNA