Literature DB >> 30085153

Mixed Mycobacterium tuberculosis-Strain Infections Are Associated With Poor Treatment Outcomes Among Patients With Newly Diagnosed Tuberculosis, Independent of Pretreatment Heteroresistance.

Sanghyuk S Shin1, Chawangwa Modongo2,3, Yeonsoo Baik4, Christopher Allender5, Darrin Lemmer5, Rebecca E Colman5, David M Engelthaler5, Robin M Warren6,7,8, Nicola M Zetola9.   

Abstract

Background: Heteroresistant Mycobacterium tuberculosis infections (defined as concomitant infection with drug-resistant and drug-susceptible strains) may explain the higher risk of poor tuberculosis treatment outcomes observed among patients with mixed-strain M. tuberculosis infections. We investigated the clinical effect of mixed-strain infections while controlling for pretreatment heteroresistance in a population-based sample of patients with tuberculosis starting first-line tuberculosis therapy in Botswana.
Methods: We performed 24-locus mycobacterial interspersed repetitive unit-variable number tandem-repeat analysis and targeted deep sequencing on baseline primary cultured isolates to detect mixed infections and heteroresistance, respectively. Drug-sensitive, micro-heteroresistant, macro-heteroresistant, and fixed-resistant infections were defined as infections in which the frequency of resistance was <0.1%, 0.1%-4%, 5%-94%, and ≥95%, respectively, in resistance-conferring domains of the inhA promoter, the katG gene, and the rpoB gene.
Results: Of the 260 patients with tuberculosis included in the study, 25 (9.6%) had mixed infections and 30 (11.5%) had poor treatment outcomes. Micro-heteroresistance, macro-heteroresistance, and fixed resistance were found among 11 (4.2%), 2 (0.8%), and 11 (4.2%), respectively, for isoniazid and 21 (8.1%), 0 (0%), and 10 (3.8%), respectively, for rifampicin. In multivariable analysis, mixed infections but not heteroresistant infections independently predicted poor treatment outcomes. Conclusions: Among patients starting first-line tuberculosis therapy in Botswana, mixed infections were associated with poor tuberculosis treatment outcomes, independent of heteroresistance.

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Year:  2018        PMID: 30085153      PMCID: PMC6217728          DOI: 10.1093/infdis/jiy480

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  42 in total

1.  Genetic polymorphism in Mycobacterium tuberculosis isolates from patients with chronic multidrug-resistant tuberculosis.

Authors:  Frank A Post; Paul A Willcox; Barun Mathema; Lafras M Steyn; Karen Shean; Srinivas V Ramaswamy; Edward A Graviss; Elena Shashkina; Barry N Kreiswirth; Gilla Kaplan
Journal:  J Infect Dis       Date:  2004-05-28       Impact factor: 5.226

2.  Evaluation of the analytical performance of the Xpert MTB/RIF assay.

Authors:  Robert Blakemore; Elizabeth Story; Danica Helb; JoAnn Kop; Padmapriya Banada; Michelle R Owens; Soumitesh Chakravorty; Martin Jones; David Alland
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3.  The clonal composition of Mycobacterium tuberculosis in clinical specimens could be modified by culture.

Authors:  Ana Martín; Marta Herranz; María Jesús Ruiz Serrano; Emilio Bouza; Darío García de Viedma
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4.  Heteroresistance of Mycobacterium tuberculosis Strains May Be Associated More Strongly With Poor Treatment Outcomes Than Within-Host Heterogeneity of M. tuberculosis Infection.

Authors:  Ling Chen; Jianyong Zhang; Hong Zhang
Journal:  J Infect Dis       Date:  2016-08-04       Impact factor: 5.226

5.  Multiple infection with resistant and sensitive M. tuberculosis strains during treatment of pulmonary tuberculosis patients.

Authors:  G C Baldeviano-Vidalón; N Quispe-Torres; C Bonilla-Asalde; D Gastiaburú-Rodriguez; J E Pro-Cuba; F Llanos-Zavalaga
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Review 6.  Mixed-strain mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control.

Authors:  Ted Cohen; Paul D van Helden; Douglas Wilson; Caroline Colijn; Megan M McLaughlin; Ibrahim Abubakar; Robin M Warren
Journal:  Clin Microbiol Rev       Date:  2012-10       Impact factor: 26.132

7.  Mechanisms of heteroresistance to isoniazid and rifampin of Mycobacterium tuberculosis in Tashkent, Uzbekistan.

Authors:  S Hofmann-Thiel; J van Ingen; K Feldmann; L Turaev; G T Uzakova; G Murmusaeva; D van Soolingen; H Hoffmann
Journal:  Eur Respir J       Date:  2008-10-01       Impact factor: 16.671

8.  Rifampin heteroresistance in Mycobacterium tuberculosis cultures as detected by phenotypic and genotypic drug susceptibility test methods.

Authors:  Dorte Bek Folkvardsen; Vibeke Ø Thomsen; Leen Rigouts; Erik Michael Rasmussen; Didi Bang; Gertjan Bernaerts; Jim Werngren; Juan Carlos Toro; Sven Hoffner; Doris Hillemann; Erik Svensson
Journal:  J Clin Microbiol       Date:  2013-09-25       Impact factor: 5.948

9.  How should discordance between molecular and growth-based assays for rifampicin resistance be investigated?

Authors:  S Hofmann-Thiel; H Hoffmann; D Hillemann; L Rigouts; A Van Deun; K Kranzer
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10.  Drug resistance characteristics and cluster analysis of M. tuberculosis in Chinese patients with multiple episodes of anti-tuberculosis treatment.

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Journal:  BMC Infect Dis       Date:  2016-01-07       Impact factor: 3.090

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  17 in total

1.  Minority Mycobacterium tuberculosis Genotypic Populations as an Indicator of Subsequent Phenotypic Resistance.

Authors:  David M Engelthaler; Elizabeth M Streicher; Erin J Kelley; Christopher J Allender; Kristin Wiggins; Dulce Jimenez; Darrin Lemmer; Eric Vittinghoff; Grant Theron; Frederick A Sirgel; Robin M Warren; John Z Metcalfe
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2.  Application of MIRU-VNTR on smear slides: a shortcut for detection of polyclonal infections in tuberculosis patients.

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3.  Genotypic and phenotypic drug-resistance detection and prevalence of heteroresistance in patients with isoniazid- and multidrug-resistant tuberculosis in Ethiopia.

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5.  Possible Transmission Mechanisms of Mixed Mycobacterium tuberculosis Infection in High HIV Prevalence Country, Botswana.

Authors:  Yeonsoo Baik; Chawangwa Modongo; Patrick K Moonan; Eleanor S Click; James L Tobias; Rosanna Boyd; Alyssa Finlay; John E Oeltmann; Sanghyuk S Shin; Nicola M Zetola
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8.  Dynamic ploidy changes drive fluconazole resistance in human cryptococcal meningitis.

Authors:  Neil Rh Stone; Johanna Rhodes; Matthew C Fisher; Sayoki Mfinanga; Sokoine Kivuyo; Joan Rugemalila; Ella Shtifman Segal; Leor Needleman; Síle F Molloy; June Kwon-Chung; Thomas S Harrison; William Hope; Judith Berman; Tihana Bicanic
Journal:  J Clin Invest       Date:  2019-01-28       Impact factor: 14.808

9.  Evaluation of the QuantaMatrix Multiplexed Assay Platform for Molecular Diagnosis of Multidrug- and Extensively Drug-Resistant Tuberculosis Using Clinical Strains Isolated in Myanmar.

Authors:  Yunhee Chang; Seoyong Kim; Yeun Kim; Phyu Win Ei; Dasom Hwang; Jongseok Lee; Chulhun L Chang; Hyeyoung Lee
Journal:  Ann Lab Med       Date:  2020-03       Impact factor: 3.464

10.  Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study.

Authors:  Patrick George Tobias Cudahy; Douglas Wilson; Ted Cohen
Journal:  BMC Infect Dis       Date:  2020-10-23       Impact factor: 3.090

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