Four-gene pan-African blood signature predicts progression to tuberculosis

Sara Suliman, Ethan Thompson, Jayne Sutherland, January Weiner Rd, Martin O C Ota, Smitha Shankar, Adam Penn-Nicholson, Bonnie Thiel, Mzwandile Erasmus, Jeroen Maertzdorf, Fergal J Duffy, Philip C Hill, E Jane Hughes, Kim Stanley, Katrina Downing, Michelle L Fisher, Joe Valvo, Shreemanta K Parida, Gian van der Spuy, Gerard TrompIfedayo M O Adetifa, Simon Donkor, Rawleigh Howe, Harriet Mayanja-Kizza, W Henry Boom, Hazel Dockrell, Tom H M Ottenhoff, Mark Hatherill, Alan Aderem, Willem A Hanekom, Thomas J Scriba, Stefan He Kaufmann, Daniel E Zak, Gerhard Walzl*,

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Rationale: Contacts of patients with tuberculosis (TB) constitute an important target population for preventive measures because they are at high risk of infection with Mycobacterium tuberculosis and progression to disease. Objectives: We investigated bio-signatures with predictive ability for incident TB. Methods: In a case-control study nested within the Grand Challenges 6-74 longitudinal HIV-negative African cohort of exposed household contacts, we employed RNA sequencing, PCR, and the pair ratio algorithm in a training/test set approach. Overall, 79 progressors who developed TB between 3 and 24 months after diagnosis of index case and 328 matched nonprogressors who remained healthy during 24 months of follow-up were investigated. Measurements and Main Results: A four-transcript signature derived from samples in a South African and Gambian training set predicted progression up to two years before onset of disease in blinded test set samples from South Africa, the Gambia, and Ethiopia with little population-associated variability, and it was also validated in an external cohort of South African adolescents with latent M. tuberculosis infection. By contrast, published diagnostic or prognostic TB signatures were predicted in samples from some but not all three countries, indicating site-specific variability. Post hoc meta-analysis identified a single gene pair, C1QC/TRAV27 (complement C1q C-chain / T-cell receptor-a variable gene 27) that would consistently predict TB progression in household contacts from multiple African sites but not in infected adolescents without known recent exposure events. Conclusions: Collectively, we developed a simple whole blood-based PCR test to predict TB in recently exposed household contacts from diverse African populations. This test has potential for implementation in national TB contact investigation programs.

Original languageEnglish
Pages (from-to)1198-1208
Number of pages11
JournalAmerican Journal of Respiratory and Critical Care Medicine
Volume197
Issue number9
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Biomarkers
  • Gene expression
  • Tuberculosis

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