Literature DB >> 16038791

Comparison between spoligotyping and IS6110 restriction fragment length polymorphisms in molecular genotyping analysis of Mycobacterium tuberculosis strains.

Andrea Gori1, Anna Degli Esposti, Alessandra Bandera, Maura Mezzetti, Christophe Sola, Giulia Marchetti, Giulio Ferrario, Franco Salerno, Madhu Goyal, Raul Diaz, Lidia Gazzola, Luigi Codecasa, Valeria Penati, Nalin Rastogi, Mauro Moroni, Fabio Franzetti.   

Abstract

Spoligotyping was compared with RFLP fingerprinting analysis in the identification of Mycobacterium tuberculosis strains. Spoligotyping sensitivity was 97.6% with a specificity of 47%. The global probability for two strains clustered with spoligotyping to be clustered also with RFLP analysis was 33%; the probability for two strains clustered with RFLP analysis to be clustered also with spoligotyping analysis was 95%. However, comparing the two methods in five outbreak episodes, full concordance was evidenced between spoligotyping and RFLP. Moreover, we evaluated the presence of our 17 largest spoligotyping clusters in spoligotyping databases from Caribbean countries, London and Cuba. Only five out of 17 patterns were present in all the cohorts. The conditional probability comparing spoligotyping and RFLP methods related to these patterns resulted in very low concordance (range from 2 to 38%). In conclusion, we confirm that spoligotyping when used alone overestimates the number of recent transmission and does not represent a suitable method for wide clinical practice application. However, it allows to get a first good picture of strain identity in a new setting and in more localized or confined settings, the probability of reaching the same result compared to RFLP was 100% confirming the usefulness of spoligotyping in the management of epidemic events, especially in hospitals, prisons and close communities.

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Year:  2005        PMID: 16038791     DOI: 10.1016/j.mcp.2005.01.001

Source DB:  PubMed          Journal:  Mol Cell Probes        ISSN: 0890-8508            Impact factor:   2.365


  9 in total

Review 1.  Methodological and Clinical Aspects of the Molecular Epidemiology of Mycobacterium tuberculosis and Other Mycobacteria.

Authors:  Tomasz Jagielski; Alina Minias; Jakko van Ingen; Nalin Rastogi; Anna Brzostek; Anna Żaczek; Jarosław Dziadek
Journal:  Clin Microbiol Rev       Date:  2016-04       Impact factor: 26.132

2.  Genetic diversity of isoniazid-resistant Mycobacterium tuberculosis isolates collected in Poland and assessed by spoligotyping.

Authors:  Ewa Augustynowicz-Kopec; Tomasz Jagielski; Zofia Zwolska
Journal:  J Clin Microbiol       Date:  2008-10-01       Impact factor: 5.948

Review 3.  Genomic insights into tuberculosis.

Authors:  James E Galagan
Journal:  Nat Rev Genet       Date:  2014-03-25       Impact factor: 53.242

4.  The use of microbead-based spoligotyping for Mycobacterium tuberculosis complex to evaluate the quality of the conventional method: providing guidelines for Quality Assurance when working on membranes.

Authors:  Edgar Abadia; Jian Zhang; Viviana Ritacco; Kristin Kremer; Raymond Ruimy; Leen Rigouts; Harrison Magdinier Gomes; Atiná Ribeiro Elias; Maryse Fauville-Dufaux; Karolien Stoffels; Voahangy Rasolofo-Razanamparany; Darío Garcia de Viedma; Marta Herranz; Sahal Al-Hajoj; Nalin Rastogi; Carlo Garzelli; Enrico Tortoli; Philip N Suffys; Dick van Soolingen; Guislaine Refrégier; Christophe Sola
Journal:  BMC Infect Dis       Date:  2011-04-28       Impact factor: 3.090

5.  Application of single-nucleotide polymorphism and mycobacterial interspersed repetitive units-variable number of tandem repeats analyses to clinical Mycobacterium tuberculosis isolates from Korea.

Authors:  Go Eun Choi; Mi Hee Jang; Hyun-Jung Cho; Sun Min Lee; Jongyoun Yi; Eun Yup Lee; Chulhun L Chang; Yeong Dae Kim; Moon-Bum Kim
Journal:  Korean J Lab Med       Date:  2011-01

6.  Correlations between major risk factors and closely related Mycobacterium tuberculosis isolates grouped by three current genotyping procedures: a population-based study in northeast Mexico.

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Journal:  Mem Inst Oswaldo Cruz       Date:  2014-09       Impact factor: 2.743

7.  Mycobacterium tuberculosis mixed infections and drug resistance in sub-Saharan Africa: a systematic review.

Authors:  Lisa Nkatha Micheni; Serawit Deyno; Joel Bazira
Journal:  Afr Health Sci       Date:  2022-03       Impact factor: 1.108

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Authors:  David J Jeffries; Neil Abernethy; Bouke C de Jong
Journal:  BMC Bioinformatics       Date:  2009-08-12       Impact factor: 3.169

Review 9.  Current methods in the molecular typing of Mycobacterium tuberculosis and other mycobacteria.

Authors:  Tomasz Jagielski; Jakko van Ingen; Nalin Rastogi; Jarosław Dziadek; Paweł K Mazur; Jacek Bielecki
Journal:  Biomed Res Int       Date:  2014-01-05       Impact factor: 3.411

  9 in total

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