Literature DB >> 17503666

Clinical validation of saquinavir/ritonavir genotypic resistance score in protease-inhibitor-experienced patients.

Anne-Genevieve Marcelin1, Philippe Flandre, Carmen de Mendoza, Benedicte Roquebert, Gilles Peytavin, Luisa Valer, Marc Wirden, Sarah Abbas, Christine Katlama, Vincent Soriano, Vincent Calvez.   

Abstract

OBJECTIVE: To identify a genotypic score for resistance to saquinavir boosted with ritonavir (SQV/r; 1,000/100 mg twice daily)-based regimens in protease inhibitor (PI)-experienced patients.
METHODS: One-hundred and fifty-one PI-experienced patients receiving a SOV/r-containing regimen were enrolled retrospectively. The virological response (VR) was defined as the decrease in HIV RNA at months 3-5. The effect of each mutation in the protease gene on the VR to SQV/r regimen was assessed using non-parametric univariate analyses and then a step-by-step analysis was carried out using a Jonckheere-Tepstra (JT) nonparametric test to retain the group of mutations most strongly associated with VR.
RESULTS: Among the 138 patients with detectable plasma SQV, the median VR was -1.48 [range: -4 to +1.2] log10 copies/ml. Changes at 12 codons were associated with a reduced VR to SQV/r: codons 10, 15, 20, 24, 46, 54, 62, 71, 73, 82, 84 and 90. The JT procedure led to selection of the following genotypic score, 10+15+20+ 24+62+73+82+84+90, as providing the strongest association with VR. In the 35 patients with none of the mutations in this score, the median decrease in HIV RNA was -2.24 log10 copies/ml and it was -1.88 (n=29), -1.43 (n=24), -0.52 (n=30), -0.18 (n=9), -0.11 (n=6) and -0.30 (n=5) log10 copies/ml in those with 1, 2, 3, 4, 5 and 6 mutations, respectively.
CONCLUSION: With this resistance score to SQV/r, the isolates were classified as having no evidence of resistance (0-2), possible resistance (3) or resistance (> or =4) by grouping the number of mutations in samples for which the viral load reduction was similar.

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Year:  2007        PMID: 17503666

Source DB:  PubMed          Journal:  Antivir Ther        ISSN: 1359-6535


  6 in total

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Authors:  Robert W Shafer; Jonathan M Schapiro
Journal:  AIDS Rev       Date:  2008 Apr-Jun       Impact factor: 2.500

2.  Protease polymorphisms in HIV-1 subtype CRF01_AE represent selection by antiretroviral therapy and host immune pressure.

Authors:  Weerawat Manosuthi; David M Butler; Josué Pérez-Santiago; Art Fy Poon; Satish K Pillai; Sanjay R Mehta; Mary E Pacold; Douglas D Richman; Sergei Kosakovsky Pond; Davey M Smith
Journal:  AIDS       Date:  2010-01-28       Impact factor: 4.177

3.  Genotypic resistance analysis of the virological response to fosamprenavir-ritonavir in protease inhibitor-experienced patients in CONTEXT and TRIAD clinical trials.

Authors:  Anne-Geneviève Marcelin; Philippe Flandre; Jean-Michel Molina; Christine Katlama; Patrick Yeni; Francois Raffi; Zeina Antoun; Mounir Ait-Khaled; Vincent Calvez
Journal:  Antimicrob Agents Chemother       Date:  2008-10-13       Impact factor: 5.191

4.  Tipranavir-ritonavir genotypic resistance score in protease inhibitor-experienced patients.

Authors:  Anne-Genevieve Marcelin; Bernard Masquelier; Diane Descamps; Jacques Izopet; Charlotte Charpentier; Chakib Alloui; Magali Bouvier-Alias; Anne Signori-Schmuck; Brigitte Montes; Marie-Laure Chaix; Corinne Amiel; Georges Dos Santos; Annick Ruffault; Francis Barin; Gilles Peytavin; Marc Lavignon; Philippe Flandre; Vincent Calvez
Journal:  Antimicrob Agents Chemother       Date:  2008-07-14       Impact factor: 5.191

5.  Two different patterns of mutations are involved in the genotypic resistance score for atazanavir boosted versus unboosted by ritonavir in multiple failing patients.

Authors:  M M Santoro; A Bertoli; P Lorenzini; F Ceccherini-Silberstein; N Gianotti; C Mussini; C Torti; G Di Perri; G Barbarini; T Bini; S Melzi; P Caramello; R Maserati; P Narciso; V Micheli; A Antinori; C F Perno
Journal:  Infection       Date:  2009-01-23       Impact factor: 3.553

6.  Natural polymorphisms and unusual mutations in HIV-1 protease with potential antiretroviral resistance: a bioinformatic analysis.

Authors:  Carlos Mata-Munguía; Martha Escoto-Delgadillo; Blanca Torres-Mendoza; Mario Flores-Soto; Mildred Vázquez-Torres; Francisco Gálvez-Gastelum; Arturo Viniegra-Osorio; Marcelo Castillero-Manzano; Eduardo Vázquez-Valls
Journal:  BMC Bioinformatics       Date:  2014-03-15       Impact factor: 3.169

  6 in total

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