Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country

© 2020 Elsevier Ltd Whole-genome sequencing (WGS) analysis has great discriminative power for detecting similar molecular fingerprints of suspected tuberculosis (TB) clusters. The proportion of TB cases within clusters and the associated risk factors are important epidemiological parameters guiding...

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Main Authors: Reiko Miyahara, Nat Smittipat, Tada Juthayothin, Hideki Yanai, Areeya Disratthakit, Worarat Imsanguan, Daranee Intralawan, Supalert Nedsuwan, Boonchai Chaiyasirinroje, Surasit Bupachat, Katsushi Tokunaga, Surakameth Mahasirimongkol, Prasit Palittapongarnpim
Other Authors: The University of Tokyo
Format: Article
Published: 2020
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/59109
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spelling th-mahidol.591092020-10-05T12:37:25Z Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country Reiko Miyahara Nat Smittipat Tada Juthayothin Hideki Yanai Areeya Disratthakit Worarat Imsanguan Daranee Intralawan Supalert Nedsuwan Boonchai Chaiyasirinroje Surasit Bupachat Katsushi Tokunaga Surakameth Mahasirimongkol Prasit Palittapongarnpim The University of Tokyo National Center for Global Health and Medicine Thailand Ministry of Public Health Mahidol University Thailand National Center for Genetic Engineering and Biotechnology The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association TB-HIV Research Foundation Immunology and Microbiology Medicine © 2020 Elsevier Ltd Whole-genome sequencing (WGS) analysis has great discriminative power for detecting similar molecular fingerprints of suspected tuberculosis (TB) clusters. The proportion of TB cases within clusters and the associated risk factors are important epidemiological parameters guiding appropriate outbreak control strategies in endemic settings. We conducted a hospital-based TB case-cohort study between 2003 and 2011 in the northernmost province of Thailand. We identified TB clusters by Mycobacterium tuberculosis WGS and analysed the risks of TB clustering and the characteristics of large clusters compared with small clusters. Among 1146 TB isolates, we identified 77 clusters with 251 isolates defined by a 5-single-nucleotide variant (SNV) cutoff and 112 clusters with 431 isolates defined by a 12-SNV cutoff. Twelve large clusters with 6 isolates or more in each cluster were identified by a 12-SNV cutoff. Sublineage 2.2.1 (both Ancestral and Modern) strains and imprisonment were independently associated with large clusters. Furthermore, although large clusters of Lineage 2.2.1/Ancestral strains included a high number of prisoners, Lineage 2.2.1/Modern strain clusters were only associated with treatment failures and drug resistance. Heterogeneity among lineage strains was observed with respect to large-cluster characteristics. Patients with an increased TB-transmission tendency should be priority targets for contact investigations and outbreak interventions to prevent ongoing transmission. 2020-10-05T05:14:00Z 2020-10-05T05:14:00Z 2020-12-01 Article Tuberculosis. Vol.125, (2020) 10.1016/j.tube.2020.101991 1873281X 14729792 2-s2.0-85090994007 https://repository.li.mahidol.ac.th/handle/123456789/59109 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090994007&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Immunology and Microbiology
Medicine
spellingShingle Immunology and Microbiology
Medicine
Reiko Miyahara
Nat Smittipat
Tada Juthayothin
Hideki Yanai
Areeya Disratthakit
Worarat Imsanguan
Daranee Intralawan
Supalert Nedsuwan
Boonchai Chaiyasirinroje
Surasit Bupachat
Katsushi Tokunaga
Surakameth Mahasirimongkol
Prasit Palittapongarnpim
Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
description © 2020 Elsevier Ltd Whole-genome sequencing (WGS) analysis has great discriminative power for detecting similar molecular fingerprints of suspected tuberculosis (TB) clusters. The proportion of TB cases within clusters and the associated risk factors are important epidemiological parameters guiding appropriate outbreak control strategies in endemic settings. We conducted a hospital-based TB case-cohort study between 2003 and 2011 in the northernmost province of Thailand. We identified TB clusters by Mycobacterium tuberculosis WGS and analysed the risks of TB clustering and the characteristics of large clusters compared with small clusters. Among 1146 TB isolates, we identified 77 clusters with 251 isolates defined by a 5-single-nucleotide variant (SNV) cutoff and 112 clusters with 431 isolates defined by a 12-SNV cutoff. Twelve large clusters with 6 isolates or more in each cluster were identified by a 12-SNV cutoff. Sublineage 2.2.1 (both Ancestral and Modern) strains and imprisonment were independently associated with large clusters. Furthermore, although large clusters of Lineage 2.2.1/Ancestral strains included a high number of prisoners, Lineage 2.2.1/Modern strain clusters were only associated with treatment failures and drug resistance. Heterogeneity among lineage strains was observed with respect to large-cluster characteristics. Patients with an increased TB-transmission tendency should be priority targets for contact investigations and outbreak interventions to prevent ongoing transmission.
author2 The University of Tokyo
author_facet The University of Tokyo
Reiko Miyahara
Nat Smittipat
Tada Juthayothin
Hideki Yanai
Areeya Disratthakit
Worarat Imsanguan
Daranee Intralawan
Supalert Nedsuwan
Boonchai Chaiyasirinroje
Surasit Bupachat
Katsushi Tokunaga
Surakameth Mahasirimongkol
Prasit Palittapongarnpim
format Article
author Reiko Miyahara
Nat Smittipat
Tada Juthayothin
Hideki Yanai
Areeya Disratthakit
Worarat Imsanguan
Daranee Intralawan
Supalert Nedsuwan
Boonchai Chaiyasirinroje
Surasit Bupachat
Katsushi Tokunaga
Surakameth Mahasirimongkol
Prasit Palittapongarnpim
author_sort Reiko Miyahara
title Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
title_short Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
title_full Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
title_fullStr Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
title_full_unstemmed Risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
title_sort risk factors associated with large clusters of tuberculosis patients determined by whole-genome sequencing in a high-tuberculosis-burden country
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/59109
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