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Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment
Genetic heterogeneity of Mycobacterium tuberculosis (MTB) within a patient has caused great concern as it might complicate antibiotic treatment and cause treatment failure. But the extent of genetic heterogeneity has not been described in detail nor has its association with heterogeneous treatment r...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664930/ https://www.ncbi.nlm.nih.gov/pubmed/26620446 http://dx.doi.org/10.1038/srep17507 |
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author | Liu, Qingyun Via, Laura E. Luo, Tao Liang, Lili Liu, Xin Wu, Sufang Shen, Qingyu Wei, Wang Ruan, Xianglin Yuan, Xing Zhang, Guolong Barry, Clifton E. Gao, Qian |
author_facet | Liu, Qingyun Via, Laura E. Luo, Tao Liang, Lili Liu, Xin Wu, Sufang Shen, Qingyu Wei, Wang Ruan, Xianglin Yuan, Xing Zhang, Guolong Barry, Clifton E. Gao, Qian |
author_sort | Liu, Qingyun |
collection | PubMed |
description | Genetic heterogeneity of Mycobacterium tuberculosis (MTB) within a patient has caused great concern as it might complicate antibiotic treatment and cause treatment failure. But the extent of genetic heterogeneity has not been described in detail nor has its association with heterogeneous treatment response. During treatment of a subject with MDR-TB, serial computed tomography (CT) scans showed this subject had six anatomically discrete lesions and they responded to treatment with disparate kinetics, suggesting heterogeneous MTB population may exist. To investigate this heterogeneity, we applied deep whole genome sequencing of serial sputum isolates and discovered that the MTB population within this patient contained three dominant sub-clones differing by 10 ~ 14 single nucleotide polymorphisms (SNPs). Differential mutation patterns in known resistance alleles indicated these sub-clones had different drug-resistance patterns, which may explain the heterogeneous treatment responses between lesions. Our results showed clear evidence of branched microevolution of MTB in vivo, which led to a diverse bacterial community. These findings indicated that complex sub-populations of MTB might coexist within patient and contribute to lesions’ disparate responses to antibiotic treatment. |
format | Online Article Text |
id | pubmed-4664930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46649302015-12-03 Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment Liu, Qingyun Via, Laura E. Luo, Tao Liang, Lili Liu, Xin Wu, Sufang Shen, Qingyu Wei, Wang Ruan, Xianglin Yuan, Xing Zhang, Guolong Barry, Clifton E. Gao, Qian Sci Rep Article Genetic heterogeneity of Mycobacterium tuberculosis (MTB) within a patient has caused great concern as it might complicate antibiotic treatment and cause treatment failure. But the extent of genetic heterogeneity has not been described in detail nor has its association with heterogeneous treatment response. During treatment of a subject with MDR-TB, serial computed tomography (CT) scans showed this subject had six anatomically discrete lesions and they responded to treatment with disparate kinetics, suggesting heterogeneous MTB population may exist. To investigate this heterogeneity, we applied deep whole genome sequencing of serial sputum isolates and discovered that the MTB population within this patient contained three dominant sub-clones differing by 10 ~ 14 single nucleotide polymorphisms (SNPs). Differential mutation patterns in known resistance alleles indicated these sub-clones had different drug-resistance patterns, which may explain the heterogeneous treatment responses between lesions. Our results showed clear evidence of branched microevolution of MTB in vivo, which led to a diverse bacterial community. These findings indicated that complex sub-populations of MTB might coexist within patient and contribute to lesions’ disparate responses to antibiotic treatment. Nature Publishing Group 2015-12-01 /pmc/articles/PMC4664930/ /pubmed/26620446 http://dx.doi.org/10.1038/srep17507 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Liu, Qingyun Via, Laura E. Luo, Tao Liang, Lili Liu, Xin Wu, Sufang Shen, Qingyu Wei, Wang Ruan, Xianglin Yuan, Xing Zhang, Guolong Barry, Clifton E. Gao, Qian Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title | Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title_full | Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title_fullStr | Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title_full_unstemmed | Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title_short | Within patient microevolution of Mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
title_sort | within patient microevolution of mycobacterium tuberculosis correlates with heterogeneous responses to treatment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664930/ https://www.ncbi.nlm.nih.gov/pubmed/26620446 http://dx.doi.org/10.1038/srep17507 |
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