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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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 |
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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 |
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© 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. |
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The University of Tokyo |
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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 |
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Article |
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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 |
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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 |
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2020 |
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https://repository.li.mahidol.ac.th/handle/123456789/59109 |
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1763494383653486592 |