Literature DB >> 33298611

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.

Yuan Cao1, Heta Parmar1, David Alland2, Soumitesh Chakravorty2,3, Rajiv L Gaur3, Deanna Lieu3, Shobana Raghunath3, Nova Via3, Simone Battaglia4, Daniela M Cirillo4, Claudia Denkinger5, Sophia Georghiou5, Robert Kwiatkowski3, David Persing3.   

Abstract

We describe the design, development, analytical performance, and a limited clinical evaluation of the 10-color Xpert MTB/XDR assay (CE-IVD only, not for sale in the United States). This assay is intended as a reflex test to detect resistance to isoniazid (INH), fluoroquinolones (FLQ), ethionamide (ETH), and second-line injectable drugs (SLIDs) in unprocessed sputum samples and concentrated sputum sediments which are positive for Mycobacterium tuberculosis The Xpert MTB/XDR assay simultaneously amplifies eight genes and promoter regions in M. tuberculosis and analyzes melting temperatures (Tm s) using sloppy molecular beacon (SMB) probes to identify mutations associated with INH, FLQ, ETH, and SLID resistance. Results can be obtained in under 90 min using 10-color GeneXpert modules. The assay can differentiate low- versus high-level resistance to INH and FLQ as well as cross-resistance versus individual resistance to SLIDs by identifying mutation-specific Tm s or Tm patterns generated by the SMB probes. The assay has a limit of detection comparable to that of the Xpert MTB/RIF assay and successfully detected 16 clinically significant mutations in a challenge set of clinical isolate DNA. In a clinical study performed at two sites with 100 sputum and 214 clinical isolates, the assay showed a sensitivity of 94% to 100% and a specificity of 100% for all drugs except for ETH compared to that of sequencing. The sensitivity and specificity were in the same ranges as those of phenotypic drug-susceptibility testing. Used in combination with a primary tuberculosis diagnostic test, this assay should expand the capacity for detection of drug-resistant tuberculosis near the point of care.
Copyright © 2021 American Society for Microbiology.

Entities:  

Keywords:  10-color; GeneXpert; Mycobacterium tuberculosis; TB; XDR; drug resistance; rapid diagnostics

Year:  2021        PMID: 33298611      PMCID: PMC8106700          DOI: 10.1128/JCM.02314-20

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


  44 in total

1.  A silent mutation in mabA confers isoniazid resistance on Mycobacterium tuberculosis.

Authors:  Hiroki Ando; Tohru Miyoshi-Akiyama; Shinya Watanabe; Teruo Kirikae
Journal:  Mol Microbiol       Date:  2014-01-09       Impact factor: 3.501

2.  Community-wide Screening for Tuberculosis in a High-Prevalence Setting.

Authors:  Guy B Marks; Nhung V Nguyen; Phuong T B Nguyen; Thu-Anh Nguyen; Hoa B Nguyen; Khoa H Tran; Son V Nguyen; Khanh B Luu; Duc T T Tran; Qui T N Vo; Oanh T T Le; Yen H Nguyen; Vu Q Do; Paul H Mason; Van-Anh T Nguyen; Jennifer Ho; Vitali Sintchenko; Linh N Nguyen; Warwick J Britton; Greg J Fox
Journal:  N Engl J Med       Date:  2019-10-03       Impact factor: 91.245

3.  ethA, inhA, and katG loci of ethionamide-resistant clinical Mycobacterium tuberculosis isolates.

Authors:  Glenn P Morlock; Beverly Metchock; David Sikes; Jack T Crawford; Robert C Cooksey
Journal:  Antimicrob Agents Chemother       Date:  2003-12       Impact factor: 5.191

4.  Gyrase Mutations Are Associated with Variable Levels of Fluoroquinolone Resistance in Mycobacterium tuberculosis.

Authors:  Maha R Farhat; Karen R Jacobson; Molly F Franke; Devinder Kaur; Alex Sloutsky; Carole D Mitnick; Megan Murray
Journal:  J Clin Microbiol       Date:  2016-01-13       Impact factor: 5.948

5.  Identifying isoniazid resistance markers to guide inclusion of high-dose isoniazid in tuberculosis treatment regimens.

Authors:  E Rivière; M G Whitfield; J Nelen; T H Heupink; A Van Rie
Journal:  Clin Microbiol Infect       Date:  2020-07-09       Impact factor: 8.067

6.  Genomic analysis of smooth tubercle bacilli provides insights into ancestry and pathoadaptation of Mycobacterium tuberculosis.

Authors:  Philip Supply; Michael Marceau; Sophie Mangenot; David Roche; Carine Rouanet; Varun Khanna; Laleh Majlessi; Alexis Criscuolo; Julien Tap; Alexandre Pawlik; Laurence Fiette; Mickael Orgeur; Michel Fabre; Cécile Parmentier; Wafa Frigui; Roxane Simeone; Eva C Boritsch; Anne-Sophie Debrie; Eve Willery; Danielle Walker; Michael A Quail; Laurence Ma; Christiane Bouchier; Grégory Salvignol; Fadel Sayes; Alessandro Cascioferro; Torsten Seemann; Valérie Barbe; Camille Locht; Maria-Cristina Gutierrez; Claude Leclerc; Stephen D Bentley; Timothy P Stinear; Sylvain Brisse; Claudine Médigue; Julian Parkhill; Stéphane Cruveiller; Roland Brosch
Journal:  Nat Genet       Date:  2013-01-06       Impact factor: 38.330

7.  FIND Tuberculosis Strain Bank: a Resource for Researchers and Developers Working on Tests To Detect Mycobacterium tuberculosis and Related Drug Resistance.

Authors:  Belay Tessema; Pamela Nabeta; Eloise Valli; Audrey Albertini; Jimena Collantes; Nguyen Huu Lan; Elena Romancenco; Nestani Tukavdze; Claudia M Denkinger; David L Dolinger
Journal:  J Clin Microbiol       Date:  2017-01-18       Impact factor: 5.948

Review 8.  Evolution of drug resistance in Mycobacterium tuberculosis: a review on the molecular determinants of resistance and implications for personalized care.

Authors:  Navisha Dookie; Santhuri Rambaran; Nesri Padayatchi; Sharana Mahomed; Kogieleum Naidoo
Journal:  J Antimicrob Chemother       Date:  2018-05-01       Impact factor: 5.790

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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  10 in total

Review 1.  Xpert MTB/XDR for detection of pulmonary tuberculosis and resistance to isoniazid, fluoroquinolones, ethionamide, and amikacin.

Authors:  Samantha Pillay; Karen R Steingart; Geraint R Davies; Marty Chaplin; Margaretha De Vos; Samuel G Schumacher; Rob Warren; Grant Theron
Journal:  Cochrane Database Syst Rev       Date:  2022-05-18

2.  GeneXpert MTB/RIF combined with conventional methods for tuberculosis in Shanghai Regional Medical Center: a retrospective diagnostic study.

Authors:  Huanhuan Zhang; Hong Li; Meiyu Tan; Zhenhao Liu; Jie Gu; Yi Zhang; Huiming Sheng
Journal:  Ann Transl Med       Date:  2022-05

3.  Clinical standards for drug-susceptible pulmonary TB.

Authors:  O W Akkerman; R Duarte; S Tiberi; H S Schaaf; C Lange; J W C Alffenaar; J Denholm; A C C Carvalho; M S Bolhuis; S Borisov; J Bruchfeld; A M Cabibbe; J A Caminero; I Carvalho; J Chakaya; R Centis; M P Dalcomo; L D Ambrosio; M Dedicoat; K Dheda; K E Dooley; J Furin; J-M García-García; N A H van Hest; B C de Jong; X Kurhasani; A G Märtson; S Mpagama; M Munoz Torrico; E Nunes; C W M Ong; D J Palmero; R Ruslami; A M I Saktiawati; C Semuto; D R Silva; R Singla; I Solovic; S Srivastava; J E M de Steenwinkel; A Story; M G G Sturkenboom; M Tadolini; Z F Udwadia; A R Verhage; J P Zellweger; G B Migliori
Journal:  Int J Tuberc Lung Dis       Date:  2022-07-01       Impact factor: 3.427

4.  Use of Whole-Genome Sequencing to Predict Mycobacterium tuberculosis Complex Drug Resistance from Early Positive Liquid Cultures.

Authors:  Xiaocui Wu; Guangkun Tan; Wei Sha; Haican Liu; Jinghui Yang; Yinjuan Guo; Xin Shen; Zheyuan Wu; Hongbo Shen; Fangyou Yu
Journal:  Microbiol Spectr       Date:  2022-03-21

5.  Characterization of Fluoroquinolone-Resistant and Multidrug-Resistant Mycobacterium tuberculosis Isolates Using Whole-Genome Sequencing in Tianjin, China.

Authors:  Zhirui Wang; Rui Sun; Cheng Mu; Chunhua Wang; Hui Zhao; Lina Jiang; Hanfang Ju; Wenxi Dai; Fan Zhang
Journal:  Infect Drug Resist       Date:  2022-04-13       Impact factor: 4.177

6.  Ending TB: the world's oldest pandemic.

Authors:  Peter S Kim; Soumya Swaminathan
Journal:  J Int AIDS Soc       Date:  2021-03       Impact factor: 5.396

7.  Importance of next-generation diagnostics in control of tuberculosis in LMICs.

Authors:  Zahra Hasan; Sadia Shakoor; Rumina Hasan
Journal:  EBioMedicine       Date:  2021-12-13       Impact factor: 8.143

Review 8.  New developments in tuberculosis diagnosis and treatment.

Authors:  Cara M Gill; Lorraine Dolan; Laura M Piggott; Anne Marie McLaughlin
Journal:  Breathe (Sheff)       Date:  2021-03-08

Review 9.  Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis.

Authors:  Louansha Nandlal; Rubeshan Perumal; Kogieleum Naidoo
Journal:  Infect Drug Resist       Date:  2022-08-29       Impact factor: 4.177

Review 10.  Mycobacterium tuberculosis functional genetic diversity, altered drug sensitivity, and precision medicine.

Authors:  Sydney Stanley; Qingyun Liu; Sarah M Fortune
Journal:  Front Cell Infect Microbiol       Date:  2022-10-03       Impact factor: 6.073

  10 in total

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