Literature DB >> 14757556

Validation of assembled nucleic acid-based tests in diagnostic microbiology laboratories.

Wayne Dimech1, D Scott Bowden, Brian Brestovac, Keith Byron, Greg James, Darren Jardine, Theo Sloots, Elizabeth M Dax.   

Abstract

Medical microbiology and virology laboratories use nucleic acid tests (NAT) to detect genomic material of infectious organisms in clinical samples. Laboratories choose to perform assembled (or in-house) NAT if commercial assays are not available or if assembled NAT are more economical or accurate. One reason commercial assays are more expensive is because extensive validation is necessary before the kit is marketed, as manufacturers must accept liability for the performance of their assays, assuming their instructions are followed. On the other hand, it is a particular laboratory's responsibility to validate an assembled NAT prior to using it for testing and reporting results on human samples. There are few published guidelines for the validation of assembled NAT. One procedure that laboratories can use to establish a validation process for an assay is detailed in this document. Before validating a method, laboratories must optimise it and then document the protocol. All instruments must be calibrated and maintained throughout the testing process. The validation process involves a series of steps including: (i) testing of dilution series of positive samples to determine the limits of detection of the assay and their linearity over concentrations to be measured in quantitative NAT; (ii) establishing the day-to-day variation of the assay's performance; (iii) evaluating the sensitivity and specificity of the assay as far as practicable, along with the extent of cross-reactivity with other genomic material; and (iv) assuring the quality of assembled assays using quality control procedures that monitor the performance of reagent batches before introducing new lots of reagent for testing.

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Year:  2004        PMID: 14757556     DOI: 10.1080/0031302032000174941

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  7 in total

1.  Molecular mycological diagnosis and correct antimycotic treatments.

Authors:  Nicasio Mancini; Cristina M Ossi; Mario Perotti; Massimo Clementi; Daniel B DiGiulio; Joanna M Schaenman; Jose G Montoya; Nancy B McClenny; Gerald J Berry; Laurence F Mirels; Michael G Rinaldi; Annette W Fothergill
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

2.  Development of a new method for diagnosis of rubella virus infection by reverse transcription-loop-mediated isothermal amplification.

Authors:  Nobuo Mori; Yoshie Motegi; Yasushi Shimamura; Takashi Ezaki; Tomo Natsumeda; Toshihiro Yonekawa; Yoshinori Ota; Tsugunori Notomi; Tetsuo Nakayama
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

3.  Internally controlled triplex quantitative PCR assay for human polyomaviruses JC and BK.

Authors:  Timothy J Dumonceaux; Christine Mesa; Alberto Severini
Journal:  J Clin Microbiol       Date:  2008-07-09       Impact factor: 5.948

4.  Comparison of the cobas 4800 CT/NG test with culture for detecting Neisseria gonorrhoeae in genital and nongenital specimens in a low-prevalence population in New Zealand.

Authors:  Collette Bromhead; Amanda Miller; Mark Jones; David Whiley
Journal:  J Clin Microbiol       Date:  2013-03-06       Impact factor: 5.948

5.  Analytical performance of a bronchial genomic classifier.

Authors:  Zhanzhi Hu; Duncan Whitney; Jessica R Anderson; Manqiu Cao; Christine Ho; Yoonha Choi; Jing Huang; Robert Frink; Kate Porta Smith; Robert Monroe; Giulia C Kennedy; P Sean Walsh
Journal:  BMC Cancer       Date:  2016-02-26       Impact factor: 4.430

6.  Detection of human herpesvirus 8 by quantitative polymerase chain reaction: development and standardisation of methods.

Authors:  David J Speicher; Newell W Johnson
Journal:  BMC Infect Dis       Date:  2012-09-11       Impact factor: 3.090

7.  Real time PCR TaqMan assays for detection of polyomaviruses KIV and WUV in clinical samples.

Authors:  Massimiliano Bergallo; Maria Elena Terlizzi; Sara Astegiano; Marco Ciotti; Muhammed Babakir-Mina; Carlo Federico Perno; Rossana Cavallo; Cristina Costa
Journal:  J Virol Methods       Date:  2009-07-29       Impact factor: 2.014

  7 in total

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