Direct Whole-Genome Sequencing of Sputum Accurately Identifies Drug-Resistant Mycobacterium tuberculosis Faster than MGIT Culture Sequencing
The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective...
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Published in | Journal of clinical microbiology Vol. 56; no. 8 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
American Society for Microbiology
01.08.2018
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Abstract | The current methods available to diagnose antimicrobial-resistant
Mycobacterium tuberculosis
infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment.
The current methods available to diagnose antimicrobial-resistant
Mycobacterium tuberculosis
infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of
M. tuberculosis
directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced
M. tuberculosis
from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases. |
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AbstractList | The current methods available to diagnose antimicrobial-resistant
Mycobacterium tuberculosis
infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment.
The current methods available to diagnose antimicrobial-resistant
Mycobacterium tuberculosis
infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of
M. tuberculosis
directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced
M. tuberculosis
from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases. The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of M. tuberculosis directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced M. tuberculosis from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases.The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of M. tuberculosis directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced M. tuberculosis from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases. The current methods available to diagnose antimicrobial-resistant infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases. |
Author | Brown, James Abubakar, Ibrahim Williams, Rachel Creer, Dean McHugh, Timothy D. Gorton, Rebecca Kunst, Heinke Romero, Erika Yara Chan, Jackie Speight, Graham Lipman, Marc Booth, Helen Doyle, Ronan M. Lozewicz, Stefan Breuer, Judith Holdstock, Jolyon Tiberi, Simon Burgess, Carrie Bryant, Josephine M. Platt, Gareth |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29848567$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1086/514096 10.1016/j.tube.2010.03.012 10.1038/nprot.2015.105 10.1093/bioinformatics/btu033 10.1016/S0966-842X(01)02277-6 10.7554/eLife.16644 10.1128/IAI.70.9.4955-4960.2002 10.1016/j.diagmicrobio.2016.01.009 10.1128/JCM.00750-06 10.1186/s12879-016-1696-7 10.1164/rccm.200503-449OC 10.1016/S1473-3099(17)30123-8 10.1128/AAC.38.10.2380 10.1128/JCM.03073-14 10.1128/JCM.02483-16 10.1371/journal.pmed.1001061 10.1590/S0074-02762009000300012 10.1128/JCM.00547-11 10.3201/eid1106.041262 10.1371/journal.pone.0027805 10.1186/s12916-017-0834-4 10.1371/journal.ppat.1002251 10.1128/JCM.02489-13 10.1186/s12879-014-0591-3 10.1128/CMR.00021-12 10.1016/S2213-2600(15)00466-X 10.1016/j.ijid.2017.07.007 10.1128/JCM.00486-15 10.1093/infdis/jiw014 10.1371/journal.pone.0070178 10.1128/JCM.02993-14 10.1042/bj3380753 |
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Copyright | Copyright © 2018 Doyle et al. Copyright © 2018 Doyle et al. 2018 Doyle et al. |
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Keywords | pathogen DNA enrichment Mycobacterium tuberculosis antimicrobial resistance whole-genome sequencing |
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Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 Citation Doyle RM, Burgess C, Williams R, Gorton R, Booth H, Brown J, Bryant JM, Chan J, Creer D, Holdstock J, Kunst H, Lozewicz S, Platt G, Romero EY, Speight G, Tiberi S, Abubakar I, Lipman M, McHugh TD, Breuer J. 2018. Direct whole-genome sequencing of sputum accurately identifies drug-resistant Mycobacterium tuberculosis faster than MGIT culture sequencing. J Clin Microbiol 56:e00666-18. https://doi.org/10.1128/JCM.00666-18. |
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References | e_1_3_3_17_2 e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_18_2 e_1_3_3_13_2 e_1_3_3_15_2 e_1_3_3_34_2 e_1_3_3_14_2 e_1_3_3_35_2 e_1_3_3_32_2 e_1_3_3_33_2 e_1_3_3_11_2 Baldeviano-Vidalón GC (e_1_3_3_12_2) 2005; 9 e_1_3_3_30_2 e_1_3_3_10_2 e_1_3_3_31_2 e_1_3_3_6_2 e_1_3_3_5_2 e_1_3_3_8_2 e_1_3_3_7_2 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_27_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_23_2 e_1_3_3_26_2 e_1_3_3_25_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_4_2 e_1_3_3_22_2 e_1_3_3_3_2 e_1_3_3_21_2 |
References_xml | – ident: e_1_3_3_23_2 doi: 10.1086/514096 – ident: e_1_3_3_14_2 doi: 10.1016/j.tube.2010.03.012 – ident: e_1_3_3_18_2 doi: 10.1038/nprot.2015.105 – ident: e_1_3_3_19_2 doi: 10.1093/bioinformatics/btu033 – ident: e_1_3_3_33_2 doi: 10.1016/S0966-842X(01)02277-6 – ident: e_1_3_3_34_2 doi: 10.7554/eLife.16644 – ident: e_1_3_3_25_2 doi: 10.1128/IAI.70.9.4955-4960.2002 – ident: e_1_3_3_5_2 doi: 10.1016/j.diagmicrobio.2016.01.009 – ident: e_1_3_3_21_2 doi: 10.1128/JCM.00750-06 – ident: e_1_3_3_26_2 doi: 10.1186/s12879-016-1696-7 – ident: e_1_3_3_11_2 doi: 10.1164/rccm.200503-449OC – ident: e_1_3_3_8_2 doi: 10.1016/S1473-3099(17)30123-8 – ident: e_1_3_3_20_2 doi: 10.1128/AAC.38.10.2380 – ident: e_1_3_3_16_2 doi: 10.1128/JCM.03073-14 – ident: e_1_3_3_27_2 doi: 10.1128/JCM.02483-16 – ident: e_1_3_3_3_2 doi: 10.1371/journal.pmed.1001061 – volume: 9 start-page: 1155 year: 2005 ident: e_1_3_3_12_2 article-title: Multiple infection with resistant and sensitive M. tuberculosis strains during treatment of pulmonary tuberculosis patients publication-title: Int J Tuberc Lung Dis – ident: e_1_3_3_22_2 doi: 10.1590/S0074-02762009000300012 – ident: e_1_3_3_17_2 doi: 10.1128/JCM.00547-11 – ident: e_1_3_3_4_2 doi: 10.3201/eid1106.041262 – ident: e_1_3_3_2_2 – ident: e_1_3_3_28_2 doi: 10.1371/journal.pone.0027805 – ident: e_1_3_3_31_2 doi: 10.1186/s12916-017-0834-4 – ident: e_1_3_3_35_2 doi: 10.1371/journal.ppat.1002251 – ident: e_1_3_3_13_2 doi: 10.1128/JCM.02489-13 – ident: e_1_3_3_29_2 doi: 10.1186/s12879-014-0591-3 – ident: e_1_3_3_10_2 doi: 10.1128/CMR.00021-12 – ident: e_1_3_3_7_2 doi: 10.1016/S2213-2600(15)00466-X – ident: e_1_3_3_30_2 doi: 10.1016/j.ijid.2017.07.007 – ident: e_1_3_3_9_2 doi: 10.1128/JCM.00486-15 – ident: e_1_3_3_32_2 doi: 10.1093/infdis/jiw014 – ident: e_1_3_3_15_2 doi: 10.1371/journal.pone.0070178 – ident: e_1_3_3_6_2 doi: 10.1128/JCM.02993-14 – ident: e_1_3_3_24_2 doi: 10.1042/bj3380753 |
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Snippet | The current methods available to diagnose antimicrobial-resistant
Mycobacterium tuberculosis
infections require a positive culture or only test a limited... The current methods available to diagnose antimicrobial-resistant infections require a positive culture or only test a limited number of resistance-associated... The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited... |
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SubjectTerms | Antitubercular Agents - pharmacology Drug Resistance, Bacterial - drug effects Drug Resistance, Bacterial - genetics Early Diagnosis Genome, Bacterial - genetics Humans Microbial Sensitivity Tests Molecular Diagnostic Techniques - methods Molecular Diagnostic Techniques - standards Mycobacteriology and Aerobic Actinomycetes Mycobacterium tuberculosis - drug effects Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - isolation & purification Sputum - chemistry Sputum - microbiology Tuberculosis - diagnosis Tuberculosis - microbiology Tuberculosis, Multidrug-Resistant - diagnosis Tuberculosis, Multidrug-Resistant - microbiology Whole Genome Sequencing |
Title | Direct Whole-Genome Sequencing of Sputum Accurately Identifies Drug-Resistant Mycobacterium tuberculosis Faster than MGIT Culture Sequencing |
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