Literature DB >> 31533985

Automatic Identification of Individual rpoB Gene Mutations Responsible for Rifampin Resistance in Mycobacterium tuberculosis by Use of Melting Temperature Signatures Generated by the Xpert MTB/RIF Ultra Assay.

Yuan Cao1, Heta Parmar1, Ann Marie Simmons2, Devika Kale2, Kristy Tong2, Deanna Lieu2, David Persing2, Robert Kwiatkowski2, David Alland1, Soumitesh Chakravorty3,2.   

Abstract

Molecular surveillance of rifampin-resistant Mycobacterium tuberculosis can help to monitor the transmission of the disease. The Xpert MTB/RIF Ultra assay detects mutations in the rifampin resistance-determining region (RRDR) of the rpoB gene by the use of melting temperature (Tm ) information from 4 rpoB probes which can fall in one of the 9 different assay-specified Tm windows. The large amount of Tm data generated by the assay offers the possibility of an RRDR genotyping approach more accessible than whole-genome sequencing. In this study, we developed an automated algorithm to specifically identify a wide range of mutations in the rpoB RRDR by utilizing the pattern of the Tm of the 4 probes within the 9 windows generated by the Ultra assay. The algorithm builds a RRDR mutation-specific "Tm signature" reference library from a set of known mutations and then identifies the RRDR genotype of an unknown sample by measuring the Tm distances between the test sample and the reference Tm values. Validated using a set of clinical isolates, the algorithm correctly identified RRDR genotypes of 93% samples with a wide range of rpoB single and double mutations. Our analytical approach showed a great potential for fast RRDR mutation identification and may also be used as a stand-alone method for ruling out relapse or transmission between patients. The algorithm can be further modified and optimized for higher accuracy as more Ultra data become available.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  Xpert MTB/RIF Ultra; rpoBzzm321990; tuberculosis

Year:  2019        PMID: 31533985      PMCID: PMC6935902          DOI: 10.1128/JCM.00907-19

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  11 in total

1.  Analysis of potential household transmission events of tuberculosis in the city of Belem, Brazil.

Authors:  Emilyn Costa Conceição; Arthur Emil Dos Santos Guimarães; Maria Luíza Lopes; Ismari Perini Furlaneto; Yan Corrêa Rodrigues; Marília Lima da Conceição; Wandyra Araújo Barros; Ninarosa Calzavara Cardoso; Abhinav Sharma; Luana Nepomuceno Gondim Costa Lima; Harrison Magdinier Gomes; Rafael Silva Duarte; Cristiane Frota; Liliana K Rutaihwa; Sebastien Gagneux; Philip Noel Suffys; Karla Valéria Batista Lima
Journal:  Tuberculosis (Edinb)       Date:  2018-10-02       Impact factor: 3.131

2.  Rifampin drug resistance tests for tuberculosis: challenging the gold standard.

Authors:  Armand Van Deun; Kya J M Aung; Valentin Bola; Rossin Lebeke; Mohamed Anwar Hossain; Willem Bram de Rijk; Leen Rigouts; Aysel Gumusboga; Gabriela Torrea; Bouke C de Jong
Journal:  J Clin Microbiol       Date:  2013-06-12       Impact factor: 5.948

3.  Rapid universal identification of bacterial pathogens from clinical cultures by using a novel sloppy molecular beacon melting temperature signature technique.

Authors:  Soumitesh Chakravorty; Bola Aladegbami; Michele Burday; Michael Levi; Salvatore A E Marras; Darshini Shah; Hiyam H El-Hajj; Fred Russell Kramer; David Alland
Journal:  J Clin Microbiol       Date:  2009-11-18       Impact factor: 5.948

4.  Whole-genome-based Mycobacterium tuberculosis surveillance: a standardized, portable, and expandable approach.

Authors:  Thomas A Kohl; Roland Diel; Dag Harmsen; Jörg Rothgänger; Karen Meywald Walter; Matthias Merker; Thomas Weniger; Stefan Niemann
Journal:  J Clin Microbiol       Date:  2014-04-30       Impact factor: 5.948

Review 5.  Antimicrobial agent resistance in mycobacteria: molecular genetic insights.

Authors:  J M Musser
Journal:  Clin Microbiol Rev       Date:  1995-10       Impact factor: 26.132

6.  Profiling of rpoB mutations and MICs for rifampin and rifabutin in Mycobacterium tuberculosis.

Authors:  F B Jamieson; J L Guthrie; A Neemuchwala; O Lastovetska; R G Melano; C Mehaffy
Journal:  J Clin Microbiol       Date:  2014-04-16       Impact factor: 5.948

7.  Mycobacterium tuberculosis strains with highly discordant rifampin susceptibility test results.

Authors:  A Van Deun; L Barrera; I Bastian; L Fattorini; H Hoffmann; K M Kam; L Rigouts; S Rüsch-Gerdes; A Wright
Journal:  J Clin Microbiol       Date:  2009-09-16       Impact factor: 5.948

8.  Xpert Ultra Can Unambiguously Identify Specific Rifampin Resistance-Conferring Mutations.

Authors:  Emmanuel André; Bouke C de Jong; Kamela C S Ng; Armand van Deun; Conor J Meehan; Gabriela Torrea; Michèle Driesen; Siemon Gabriëls; Leen Rigouts
Journal:  J Clin Microbiol       Date:  2018-08-27       Impact factor: 5.948

9.  The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing.

Authors:  Soumitesh Chakravorty; Ann Marie Simmons; Mazhgan Rowneki; Heta Parmar; Yuan Cao; Jamie Ryan; Padmapriya P Banada; Srinidhi Deshpande; Shubhada Shenai; Alexander Gall; Jennifer Glass; Barry Krieswirth; Samuel G Schumacher; Pamela Nabeta; Nestani Tukvadze; Camilla Rodrigues; Alena Skrahina; Elisa Tagliani; Daniela M Cirillo; Amy Davidow; Claudia M Denkinger; David Persing; Robert Kwiatkowski; Martin Jones; David Alland
Journal:  mBio       Date:  2017-08-29       Impact factor: 7.867

10.  Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.

Authors:  Susan E Dorman; Samuel G Schumacher; David Alland; Pamela Nabeta; Derek T Armstrong; Bonnie King; Sandra L Hall; Soumitesh Chakravorty; Daniela M Cirillo; Nestani Tukvadze; Nino Bablishvili; Wendy Stevens; Lesley Scott; Camilla Rodrigues; Mubin I Kazi; Moses Joloba; Lydia Nakiyingi; Mark P Nicol; Yonas Ghebrekristos; Irene Anyango; Wilfred Murithi; Reynaldo Dietze; Renata Lyrio Peres; Alena Skrahina; Vera Auchynka; Kamal Kishore Chopra; Mahmud Hanif; Xin Liu; Xing Yuan; Catharina C Boehme; Jerrold J Ellner; Claudia M Denkinger
Journal:  Lancet Infect Dis       Date:  2017-11-30       Impact factor: 25.071

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  2 in total

1.  Genotyping of Mycobacterium tuberculosis Rifampin Resistance-Associated Mutations by Use of Data from Xpert MTB/RIF Ultra Enables Large-Scale Tuberculosis Molecular Epidemiology Studies.

Authors:  Brian Weinrick
Journal:  J Clin Microbiol       Date:  2019-12-23       Impact factor: 5.948

2.  Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum.

Authors:  Yuan Cao; Heta Parmar; David Alland; Soumitesh Chakravorty; Rajiv L Gaur; Deanna Lieu; Shobana Raghunath; Nova Via; Simone Battaglia; Daniela M Cirillo; Claudia Denkinger; Sophia Georghiou; Robert Kwiatkowski; David Persing
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

  2 in total

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