Literature DB >> 12126722

Performance of an in-house genotypic antiretroviral resistance assay in patients pretreated with multiple human immunodeficiency virus type 1 protease and reverse transcriptase inhibitors.

C Peduzzi1, P Pierotti, G Venturi, L Romano, F Mazzotta, M Zazzi.   

Abstract

An in-house genotypic antiretroviral resistance assay was evaluated by testing 32 plasma samples obtained from heavily pretreated human immunodeficiency virus type 1 (HIV-1)-infected patients failing multiple antiretroviral regimens. The same samples were also sent to Virco Laboratories for genotypic (VircoGEN) and phenotypic (Antivirogram) resistance analysis. Sequencing results obtained by in-house (HG) and VircoGEN (VG) genotyping were concordant for 387 of 400 (96.75%) drug resistance mutations. Genotype-based prediction of drug susceptibility for 13 currently licensed antiretroviral compounds were in agreement in 336 (80.78%) cases, partially concordant in 73 (17.54%) cases and discordant in only seven (1.68%) cases. VG indicated 'possible resistance' twice as much as HG. When genotype interpretation was compared with the Antivirogram phenotypic data, there were 27 (6.49%) and 23 (5.52%) wrong calls by HG and by VG, respectively. Both assays were more sensitive in detecting drug resistance than drug susceptibility (94.61 vs. 65.19% for HG, 80.84 vs. 56.91% for VG) and more specific in detecting drug susceptibility than drug resistance (93.62 vs. 73.49% for HG, 93.62 vs. 80.32% for VG). Rule-based algorithms can reliably interpret genotypic data obtained from most heavily pretreated patients. However, occasional genotypic patterns may be erroneously interpreted without resistance phenotyping.

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Year:  2002        PMID: 12126722     DOI: 10.1016/s1386-6532(01)00252-9

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  5 in total

1.  Impact of remote versus local sampling on sensitivity of genotypic antiretroviral resistance testing.

Authors:  Maddalena Balestrieri; Antonella Marconi; Genny Meini; Andrea Rosi; Francesco Saladini; Ilaria Vicenti; Francesca Razzolini; Maurizio Zazzi
Journal:  J Clin Microbiol       Date:  2010-04-21       Impact factor: 5.948

2.  Near full-length sequence analysis of HIV type 1 BF recombinants from Italy.

Authors:  Francesco Saladini; Brian T Foley; Andrea Rosi; Ilaria Vicenti; Giulio Nannetti; Genny Meini; Francesca Razzolini; Maurizio Zazzi
Journal:  AIDS Res Hum Retroviruses       Date:  2011-07-08       Impact factor: 2.205

3.  Three-class-resistant human immunodeficiency virus type 1 variant in a drug-naive heterosexual couple.

Authors:  Francesca Razzolini; Francesco Saladini; Lisa Malincarne; Ilaria Vicenti; Nicola Palladino; Laura Romano; Daniela Francisci; Maurizio Zazzi
Journal:  J Clin Microbiol       Date:  2008-09-24       Impact factor: 5.948

4.  Both human immunodeficiency virus cellular DNA sequencing and plasma RNA sequencing are useful for detection of drug resistance mutations in blood samples from antiretroviral-drug-naive patients.

Authors:  Saverio G Parisi; Caterina Boldrin; Mario Cruciani; Giangiacomo Nicolini; Isabella Cerbaro; Vinicio Manfrin; Federico Dal Bello; Elisa Franchin; Marzia Franzetti; Maria C Rossi; Anna M Cattelan; Laura Romano; Maurizio Zazzi; Massimo Andreoni; Giorgio Palù
Journal:  J Clin Microbiol       Date:  2007-04-18       Impact factor: 5.948

5.  Evaluation of a cost effective in-house method for HIV-1 drug resistance genotyping using plasma samples.

Authors:  Devidas N Chaturbhuj; Amit P Nirmalkar; Ramesh S Paranjape; Srikanth P Tripathy
Journal:  PLoS One       Date:  2014-02-12       Impact factor: 3.240

  5 in total

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