Literature DB >> 10405894

Rapid, phenotypic HIV-1 drug sensitivity assay for protease and reverse transcriptase inhibitors.

H Walter1, B Schmidt, K Korn, A M Vandamme, T Harrer, K Uberla.   

Abstract

BACKGROUND: Development of drug resistance is one of the major reasons for the failure of antiretroviral therapy of HIV-1 infection. Knowing the drug sensitivity-resistance profile of viruses present in a patient prior to treatment or change in treatment could help to optimize therapy.
OBJECTIVE: Development of a rapid standardized phenotypic HIV-1 drug sensitivity assay for protease (PR) and reverse transcriptase (RT) inhibitors.
DESIGN: The PR gene (codons 1-99) and the 5' part of the RT gene (codons 1-300) of HIV-1 is amplified from the plasma of infected individuals by RT-PCR and ligated into a proviral clone of HIV-1 containing a deletion of the PR gene and the 5' part of the RT gene. Bacteria are transformed with the ligation product and plasmid DNA is prepared from a library of transformed bacteria. The plasmid DNA is transfected into 293 T cells and recombinant virus is harvested from the supernatant of the transfected cells 2 days after transfection. The sensitivity of the recombinant virus is determined with the help of a sensitive indicator cell line.
RESULTS: Recombinant viruses were generated with high efficiency. Determination of the drug sensitivity of the recombinant viruses with an indicator cell line was highly reproducible. The recombinant viruses accurately reflected the sensitivity-resistance profile of the parental viruses. The phenotypic drug sensitivity determined by this assay correlated well with the treatment history of patients.
CONCLUSION: This assay system should allow rapid, high-throughput analyses of phenotypic HIV-1 drug sensitivity for PR and RT inhibitors. Due to the efficient generation of recombinant viruses, propagation of the recombinant viruses in cell culture is not required prior to the determination of the sensitivity of the recombinant viruses. The risk of selecting fitter non-resistant viruses due to culture conditions is minimized.

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Year:  1999        PMID: 10405894     DOI: 10.1016/s1386-6532(99)00010-4

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


  27 in total

1.  Diversity and complexity of HIV-1 drug resistance: a bioinformatics approach to predicting phenotype from genotype.

Authors:  Niko Beerenwinkel; Barbara Schmidt; Hauke Walter; Rolf Kaiser; Thomas Lengauer; Daniel Hoffmann; Klaus Korn; Joachim Selbig
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

2.  Geno2pheno: Estimating phenotypic drug resistance from HIV-1 genotypes.

Authors:  Niko Beerenwinkel; Martin Däumer; Mark Oette; Klaus Korn; Daniel Hoffmann; Rolf Kaiser; Thomas Lengauer; Joachim Selbig; Hauke Walter
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  Dual selection pressure by drugs and HLA class I-restricted immune responses on human immunodeficiency virus type 1 protease.

Authors:  Sandra M Mueller; Birgit Schaetz; Kathrin Eismann; Silke Bergmann; Michael Bauerle; Matthias Schmitt-Haendle; Hauke Walter; Barbara Schmidt; Klaus Korn; Heinrich Sticht; Bernd Spriewald; Ellen G Harrer; Thomas Harrer
Journal:  J Virol       Date:  2007-01-03       Impact factor: 5.103

4.  Prediction of abacavir resistance from genotypic data: impact of zidovudine and lamivudine resistance in vitro and in vivo.

Authors:  Hauke Walter; Barbara Schmidt; Marianne Werwein; Eva Schwingel; Klaus Korn
Journal:  Antimicrob Agents Chemother       Date:  2002-01       Impact factor: 5.191

5.  Agreement between an in-house replication competent and a reference replication defective recombinant virus assay for measuring phenotypic resistance to HIV-1 protease, reverse transcriptase, and integrase inhibitors.

Authors:  Francesco Saladini; Alessia Giannini; Adele Boccuto; Ilaria Vicenti; Maurizio Zazzi
Journal:  J Clin Lab Anal       Date:  2017-03-17       Impact factor: 2.352

6.  Assessment of ambiguous base calls in HIV-1 pol population sequences as a biomarker for identification of recent infections in HIV-1 incidence studies.

Authors:  Karolin Meixenberger; Andrea Hauser; Klaus Jansen; Kaveh Pouran Yousef; Stefan Fiedler; Max von Kleist; Stephen Norley; Sybille Somogyi; Osamah Hamouda; Norbert Bannert; Barbara Bartmeyer; Claudia Kücherer
Journal:  J Clin Microbiol       Date:  2014-06-11       Impact factor: 5.948

7.  In vitro and in vivo activities of AIC292, a novel HIV-1 nonnucleoside reverse transcriptase inhibitor.

Authors:  Steffen Wildum; Daniela Paulsen; Kai Thede; Helga Ruebsamen-Schaeff; Holger Zimmermann
Journal:  Antimicrob Agents Chemother       Date:  2013-08-19       Impact factor: 5.191

8.  Only slight impact of predicted replicative capacity for therapy response prediction.

Authors:  Hendrik Weisser; André Altmann; Saleta Sierra; Francesca Incardona; Daniel Struck; Anders Sönnerborg; Rolf Kaiser; Maurizio Zazzi; Monika Tschochner; Hauke Walter; Thomas Lengauer
Journal:  PLoS One       Date:  2010-02-03       Impact factor: 3.240

9.  Tenofovir resistance and resensitization.

Authors:  Katharina Wolf; Hauke Walter; Niko Beerenwinkel; Wilco Keulen; Rolf Kaiser; Daniel Hoffmann; Thomas Lengauer; Joachim Selbig; Anne-Mieke Vandamme; Klaus Korn; Barbara Schmidt
Journal:  Antimicrob Agents Chemother       Date:  2003-11       Impact factor: 5.191

10.  Detection and quantification of minor human immunodeficiency virus type 1 variants harboring K103N and Y181C resistance mutations in subtype A and D isolates by allele-specific real-time PCR.

Authors:  Andrea Hauser; Kizito Mugenyi; Rose Kabasinguzi; Kerstin Bluethgen; Claudia Kuecherer; Gundel Harms; Andrea Kunz
Journal:  Antimicrob Agents Chemother       Date:  2009-05-11       Impact factor: 5.191

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