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Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage

Published: 02 October 2016 Publication History

Abstract

Infection by Mycobacterium tuberculosis complex (MTB) produces either active tuberculosis (TB) disease or latent infections without symptoms with about a 10% lifetime risk of developing disease. We hypothesize that MTB lineages may have different latent reactivation phenotypes, and that these different phenotypes would be reflected in different disease dynamics in foreign-born TB patients in New York City (NY). We define the time to disease (TTD) as the length of time between a subject's arrival in the US and development of active disease. We study statistical differences in TTD distributions for the four most prevalent MTB lineages. By studying foreign-born patients with unique genotype MTB, TTD can serve as a proxy for time to latent reactivation. We observe significant differences between the TTD distributions among the 4 lineages using the Anderson-Darling (AD) test. Deeper understanding of latent reactivation can support TB control efforts and aid development of new tuberculosis drugs targeted toward latent TB.

References

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A. G. M. III and C. Pomeroy. Management of antimicrobials in infectious diseases: impact of antibiotic resistance. Humana Press, Totowa, N.J, 2009.
[2]
A. Shabbeer, L. S. Cowan, C. Ozcaglar, N. Rastogi, S. L. Vandenberg, B. Yener, and K. P. Bennett. TB-Lineage: an online tool for classification and analysis of strains of mycobacterium tuberculosis complex. Infection, Genetics and Evolution, 12(4):789--797, 2012.
[3]
K. M. Shea, J. S. Kammerer, C. A. Winston, T. R. Navin, C. R. Horsburgh, et al. Estimated rate of reactivation of latent tuberculosis infection in the united states, overall and by population subgroup. American Journal of Epidemiology, page kwt246, 2013.

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cover image ACM Conferences
BCB '16: Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
October 2016
675 pages
ISBN:9781450342254
DOI:10.1145/2975167
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2016

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Author Tags

  1. Bioinformatics
  2. Molecular Epidemiology
  3. Tuberculosis

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BCB '16
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Overall Acceptance Rate 254 of 885 submissions, 29%

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