Literature DB >> 19095775

Multi-probe real-time PCR identification of common Mycobacterium species in blood culture broth.

Suporn Foongladda1, Suporn Pholwat2, Boonchuay Eampokalap3, Pattarachai Kiratisin2, Ruengpung Sutthent2.   

Abstract

Mycobacterium tuberculosis complex, M. avium, and M. intracellulare are the most common causes of systemic bacterial infection in AIDS patients. To identify these mycobacterial isolates in primary blood culture broths, we developed a multiple hybridization probe-based real-time PCR assay using the LightCycler system. The primers were designed to amplify a 320-bp fragment of Mycobacterium 16S rRNA genes. Reaction specificity was evaluated using PCR amplification curves along with specific melting temperatures of probes on DNA extracted from 13 Mycobacterium species. In this study, results showed 100% accuracy for the selected bacterial panel. Detection limits were 350, 600, and 650 colony-forming unit (CFU)/ml blood culture broths for M. tuberculosis complex, M. avium, and M. intracellulare, respectively (1 to 2 CFU/reaction). To evaluate clinical applicability, 341 acid-fast bacilli in blood culture broths were analyzed. In total, 327 (96%) were positively identified: 54.5% M. tuberculosis complex, 37.5% M. avium, and 3.8% M. intracellulare. Results can be available within 3 hours of receiving a broth sample, which makes this rapid and simple assay an attractive diagnostic tool for clinical use.

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Year:  2008        PMID: 19095775      PMCID: PMC2607564          DOI: 10.2353/jmoldx.2009.080081

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  14 in total

1.  Rapid and specific detection of Mycobacterium tuberculosis from acid-fast bacillus smear-positive respiratory specimens and BacT/ALERT MP culture bottles by using fluorogenic probes and real-time PCR.

Authors:  Nancimae Miller; Tim Cleary; Günter Kraus; Andrea K Young; Gina Spruill; H James Hnatyszyn
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

2.  Burden of unidentifiable mycobacteria in a reference laboratory.

Authors:  E Tortoli; A Bartoloni; E C Böttger; S Emler; C Garzelli; E Magliano; A Mantella; N Rastogi; L Rindi; C Scarparo; P Urbano
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

3.  Rapid identification of mycobacteria to the species level by polymerase chain reaction and restriction enzyme analysis.

Authors:  A Telenti; F Marchesi; M Balz; F Bally; E C Böttger; T Bodmer
Journal:  J Clin Microbiol       Date:  1993-02       Impact factor: 5.948

4.  Direct identification of mycobacteria from MB/BacT alert 3D bottles: comparative evaluation of two commercial probe assays.

Authors:  C Scarparo; P Piccoli; A Rigon; G Ruggiero; D Nista; C Piersimoni
Journal:  J Clin Microbiol       Date:  2001-09       Impact factor: 5.948

5.  Use of real-time PCR and fluorimetry for rapid detection of rifampin and isoniazid resistance-associated mutations in Mycobacterium tuberculosis.

Authors:  M J Torres; A Criado; J C Palomares; J Aznar
Journal:  J Clin Microbiol       Date:  2000-09       Impact factor: 5.948

6.  Detection of Mycobacterium bovis in bovine clinical specimens using real-time fluorescence and fluorescence resonance energy transfer probe rapid-cycle PCR.

Authors:  M J Taylor; M S Hughes; R A Skuce; S D Neill
Journal:  J Clin Microbiol       Date:  2001-04       Impact factor: 5.948

7.  Rapid-cycle PCR and fluorimetry for detection of mycobacteria.

Authors:  Jacqueline Lachnik; Birgit Ackermann; Antje Bohrssen; Silvia Maass; Catharina Diephaus; Axel Puncken; Marion Stermann; Franz-Christoph Bange
Journal:  J Clin Microbiol       Date:  2002-09       Impact factor: 5.948

8.  Identification of Mycobacterium tuberculosis and Mycobacterium avium-M. intracellulare directly from primary BACTEC cultures by using acridinium-ester-labeled DNA probes.

Authors:  K D Evans; A S Nakasone; P A Sutherland; L M de la Maza; E M Peterson
Journal:  J Clin Microbiol       Date:  1992-09       Impact factor: 5.948

9.  Proposal to elevate the genetic variant MAC-A, included in the Mycobacterium avium complex, to species rank as Mycobacterium chimaera sp. nov.

Authors:  Enrico Tortoli; Laura Rindi; Maria J Garcia; Patrizia Chiaradonna; Rosanna Dei; Carlo Garzelli; Reiner M Kroppenstedt; Nicoletta Lari; Romano Mattei; Alessandro Mariottini; Gianna Mazzarelli; Martha I Murcia; Anna Nanetti; Paola Piccoli; Claudio Scarparo
Journal:  Int J Syst Evol Microbiol       Date:  2004-07       Impact factor: 2.747

10.  Rapid and specific detection of Mycobacterium tuberculosis by using the Smart Cycler instrument and a specific fluorogenic probe.

Authors:  Timothy J Cleary; Gladys Roudel; Ofelia Casillas; Nancimae Miller
Journal:  J Clin Microbiol       Date:  2003-10       Impact factor: 5.948

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  12 in total

1.  Multiplex real-time PCR assay and melting curve analysis for identifying Mycobacterium tuberculosis complex and nontuberculous mycobacteria.

Authors:  Jeong-Uk Kim; Choong-Hwan Cha; Hae-Kyong An
Journal:  J Clin Microbiol       Date:  2011-12-07       Impact factor: 5.948

2.  Characterization of MicroRNA Expression Profiles and Identification of Potential Biomarkers in Leprosy.

Authors:  Karina T O S Jorge; Renan P Souza; Marieta T A Assis; Marcelo G Araújo; Massimo Locati; Amélia M R Jesus; Ida M F Dias Baptista; Cristiano X Lima; Antônio L Teixeira; Mauro M Teixeira; Frederico M Soriani
Journal:  J Clin Microbiol       Date:  2017-03-08       Impact factor: 5.948

3.  Culture-Independent Detection of Nontuberculous Mycobacteria in Clinical Respiratory Samples.

Authors:  Gianny P Scoleri; Jocelyn M Choo; Lex E X Leong; Thomas R Goddard; Lisa Shephard; Lucy D Burr; Ivan Bastian; Rachel M Thomson; Geraint B Rogers
Journal:  J Clin Microbiol       Date:  2016-07-13       Impact factor: 5.948

Review 4.  An appraisal of PCR-based technology in the detection of Mycobacterium tuberculosis.

Authors:  Sathish Sankar; Mageshbabu Ramamurthy; Balaji Nandagopal; Gopalan Sridharan
Journal:  Mol Diagn Ther       Date:  2011-02-01       Impact factor: 4.074

5.  Evaluation of a low-density hydrogel microarray technique for mycobacterial species identification.

Authors:  Danila V Zimenkov; Elena V Kulagina; Olga V Antonova; Maria A Krasnova; Ekaterina N Chernyaeva; Vyacheslav Y Zhuravlev; Alexey V Kuz'min; Sergey A Popov; Alexander S Zasedatelev; Dmitry A Gryadunov
Journal:  J Clin Microbiol       Date:  2015-01-21       Impact factor: 5.948

6.  Development and application of multiprobe real-time PCR method targeting the hsp65 gene for differentiation of Mycobacterium species from isolates and sputum specimens.

Authors:  Kijeong Kim; Hyungki Lee; Mi-Kyung Lee; Seoung-Ae Lee; Tae-Sun Shim; Seong Yong Lim; Won-Jung Koh; Jae-Joon Yim; Bazarragchaa Munkhtsetseg; Wonyong Kim; Sang-In Chung; Yoon-Hoh Kook; Bum-Joon Kim
Journal:  J Clin Microbiol       Date:  2010-07-14       Impact factor: 5.948

7.  Real-time PCR using mycobacteriophage DNA for rapid phenotypic drug susceptibility results for Mycobacterium tuberculosis.

Authors:  Suporn Pholwat; Beeta Ehdaie; Suporn Foongladda; Kimberly Kelly; Eric Houpt
Journal:  J Clin Microbiol       Date:  2011-12-14       Impact factor: 5.948

8.  Use of mycobacteriophage quantitative PCR on MGIT broths for a rapid tuberculosis antibiogram.

Authors:  Suporn Foongladda; Wiphat Klayut; Rattapha Chinli; Suporn Pholwat; Eric R Houpt
Journal:  J Clin Microbiol       Date:  2014-02-26       Impact factor: 5.948

9.  Multi-probe real-time PCR identification of four common Candida species in blood culture broth.

Authors:  Suporn Foongladda; Nanthanida Mongkol; Pornphan Petlum; Methee Chayakulkeeree
Journal:  Mycopathologia       Date:  2014-04-17       Impact factor: 2.574

10.  Combined real-time PCR and rpoB gene pyrosequencing for rapid identification of Mycobacterium tuberculosis and determination of rifampin resistance directly in clinical specimens.

Authors:  Tanya A Halse; Justine Edwards; Phyllis L Cunningham; William J Wolfgang; Nellie B Dumas; Vincent E Escuyer; Kimberlee A Musser
Journal:  J Clin Microbiol       Date:  2010-01-27       Impact factor: 5.948

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