Literature DB >> 29050774

Whole genome sequencing of clinical strains of Mycobacterium tuberculosis from Mumbai, India: A potential tool for determining drug-resistance and strain lineage.

Anirvan Chatterjee1, Kayzad Nilgiriwala1, Dhananjaya Saranath2, Camilla Rodrigues3, Nerges Mistry4.   

Abstract

Amplification of drug resistance in Mycobacterium tuberculosis (M.tb) and its transmission are significant barriers in controlling tuberculosis (TB) globally. Diagnostic inaccuracies and delays impede appropriate drug administration, which exacerbates primary and secondary drug resistance. Increasing affordability of whole genome sequencing (WGS) and exhaustive cataloguing of drug resistance mutations is poised to revolutionise TB diagnostics and facilitate personalized drug therapy. However, application of WGS for diagnostics in high endemic areas is yet to be demonstrated. We report WGS of 74 clinical TB isolates from Mumbai, India, characterising genotypic drug resistance to first- and second-line anti-TB drugs. A concordance analysis between phenotypic and genotypic drug susceptibility of a subset of 29 isolates and the sensitivity of resistance prediction to the 4 drugs was calculated, viz. isoniazid-100%, rifampicin-100%, ethambutol-100% and streptomycin-85%. The whole genome based phylogeny showed almost equal proportion of East Asian (27/74) and Central Asian (25/74) strains. Interestingly we also found a clonal group of 9 isolates, of which 7 patients were found to be from the same geographical location and accessed the same health post. This provides the first evidence of epidemiological linkage for tracking TB transmission in India, an approach which has the potential to significantly improve chances of End-TB goals. Finally, the use of Mykrobe Predictor, as a standalone drug resistance and strain typing tool, requiring just few minutes to analyse raw WGS data into tabulated results, implies the rapid clinical applicability of WGS based TB diagnosis.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 29050774     DOI: 10.1016/j.tube.2017.08.002

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  10 in total

1.  A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis.

Authors:  Anna G Green; Chang Ho Yoon; Andrew Beam; Maha Farhat; Michael L Chen; Yasha Ektefaie; Mack Fina; Luca Freschi; Matthias I Gröschel; Isaac Kohane
Journal:  Nat Commun       Date:  2022-07-02       Impact factor: 17.694

2.  Mycobacterium tuberculosis Lineages Associated with Mutations and Drug Resistance in Isolates from India.

Authors:  Siva Kumar Shanmugam; Narender Kumar; Tamilzhalagan Sembulingam; Suresh Babu Ramalingam; Ashok Selvaraj; Udhayakumar Rajendhiran; Sudha Solaiyappan; Srikanth P Tripathy; Mohan Natrajan; Padmapriyadarsini Chandrasekaran; Soumya Swaminathan; Julian Parkhill; Sharon J Peacock; Uma Devi K Ranganathan
Journal:  Microbiol Spectr       Date:  2022-04-20

3.  Whole Genome Sequencing of Mycobacterium tuberculosis Clinical Isolates From India Reveals Genetic Heterogeneity and Region-Specific Variations That Might Affect Drug Susceptibility.

Authors:  Jayshree Advani; Renu Verma; Oishi Chatterjee; Praveen Kumar Pachouri; Prashant Upadhyay; Rajesh Singh; Jitendra Yadav; Farah Naaz; Raju Ravikumar; Shashidhar Buggi; Mrutyunjay Suar; Umesh D Gupta; Akhilesh Pandey; Devendra S Chauhan; Srikanth Prasad Tripathy; Harsha Gowda; T S Keshava Prasad
Journal:  Front Microbiol       Date:  2019-02-26       Impact factor: 5.640

4.  Whole genomic sequencing as a tool for diagnosis of drug and multidrug-resistance tuberculosis in an endemic region in Mexico.

Authors:  Carlos Francisco Madrazo-Moya; Irving Cancino-Muñoz; Betzaida Cuevas-Córdoba; Vanessa González-Covarrubias; Martín Barbosa-Amezcua; Xavier Soberón; Raquel Muñiz-Salazar; Armando Martínez-Guarneros; Claudia Bäcker; José Zarrabal-Meza; Clara Sampieri-Ramirez; Antonio Enciso-Moreno; Michael Lauzardo; Iñaki Comas; Roberto Zenteno-Cuevas
Journal:  PLoS One       Date:  2019-06-05       Impact factor: 3.240

5.  Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.

Authors:  Michael L Chen; Akshith Doddi; Jimmy Royer; Luca Freschi; Marco Schito; Matthew Ezewudo; Isaac S Kohane; Andrew Beam; Maha Farhat
Journal:  EBioMedicine       Date:  2019-04-29       Impact factor: 8.143

6.  Molecular characterisation of multidrug-resistant Mycobacterium tuberculosis isolates from a high-burden tuberculosis state in Brazil.

Authors:  R S Salvato; S Schiefelbein; R B Barcellos; B M Praetzel; I S Anusca; L S Esteves; M L Halon; G Unis; C F Dias; S S Miranda; I N de Almeida; L J de Assis Figueredo; E C Silva; A L Kritski; E R Dalla Costa; M L R Rossetti
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

7.  Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark.

Authors:  Brianna Cheng; Marcel A Behr; Benjamin P Howden; Theodore Cohen; Robyn S Lee
Journal:  Lancet Microbe       Date:  2021-03-02

8.  Differential Impact of the rpoB Mutant on Rifampin and Rifabutin Resistance Signatures of Mycobacterium tuberculosis Is Revealed Using a Whole-Genome Sequencing Assay.

Authors:  Ming-Chih Yu; Ching-Sheng Hung; Chun-Kai Huang; Cheng-Hui Wang; Yu-Chih Liang; Jung-Chun Lin
Journal:  Microbiol Spectr       Date:  2022-08-04

9.  Accuracy of whole genome sequencing versus phenotypic (MGIT) and commercial molecular tests for detection of drug-resistant Mycobacterium tuberculosis isolated from patients in Brazil and Mozambique.

Authors:  Cinara Silva Feliciano; Evangelina Inacio Namburete; Jéssica Rodrigues Plaça; Kamila Peronni; Anzaan Dippenaar; Robin Mark Warren; Wilson Araújo Silva; Valdes Roberto Bollela
Journal:  Tuberculosis (Edinb)       Date:  2018-04-05       Impact factor: 2.973

10.  Whole genome sequencing of Mycobacterium tuberculosis isolates and clinical outcomes of patients treated for multidrug-resistant tuberculosis in Tanzania.

Authors:  Bugwesa Z Katale; Peter M Mbelele; Nsiande A Lema; Susana Campino; Stephen E Mshana; Mark M Rweyemamu; Jody E Phelan; Julius D Keyyu; Mtebe Majigo; Erasto V Mbugi; Hazel M Dockrell; Taane G Clark; Mecky I Matee; Stellah Mpagama
Journal:  BMC Genomics       Date:  2020-02-21       Impact factor: 3.969

  10 in total

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