Literature DB >> 16035256

Evaluation of atazanavir Ctrough, atazanavir genotypic inhibitory quotient, and baseline HIV genotype as predictors of a 24-week virological response in highly drug-experienced, HIV-infected patients treated with unboosted atazanavir.

Nicola Gianotti1, Elena Seminari, Monica Guffanti, Enzo Boeri, Paola Villani, Mario Regazzi, Alba Bigoloni, Giulia Schira, Simon Tiberi, Giuliana Fusetti, Adriano Lazzarin, Antonella Castagna.   

Abstract

The objective of this study was to evaluate virological and pharmacological determinants of a 24-week virological response to unboosted atazanavir (ATV) in highly drug-experienced HIV-infected patients. Among patients enrolled in the ATV Expanded Access Program, those with HIV-RNA >1000 copies/mL, a genotype performed within three months from the baseline (BL), and who completed 24 weeks of treatment, were included. They received at least three antiretrovirals, including ATV 400 mg once daily without boosting. ATV plasma levels were evaluated after four weeks of treatment by high performance liquid chromatography (HPLC). ATV genotypic inhibitory quotient (GIQ) was calculated as the ratio between ATV Ctrough and the number of the BL ATV-related protease resistance mutations (among the following: 10I/V/F, 20R/M/I, 24I, 331/F/V, 36I/L/V, 46I/L, 48V, 54V/L, 63P, 71V/T/I, 73C/S/T/A, 82A/F/S/T, 84V, and 90M). Thirty-five subjects were included. At baseline, median (interquartile range) CD4+ T-lymphocytes, HIV-RNA, and ATV resistance mutations were 232.5 (106-303)/microL, 4.7 (4.2-5.1) log10 copies/mL, 2 (1-6), respectively. Thirteen (37.1%) subjects were off-therapy and 11 (31.4%) showed no PI mutation at baseline. Median steady-state ATV Ctrough was 230 ng/mL (87-520), for an ATV GIQ of 86.5 (25.5-165.5). Median HIV-RNA changes from baseline at weeks 4, 12 and 24 were -1.76 (from -0.44 to -2.12), -1.41 (from -0.41 to -2.81) and -1.44 (from -0.42 to -2.71) log10, respectively. The HIV-RNA changes were correlated to the number of ATV resistance mutations at each time point (P < 0.05), whereas no correlation was found between ATV Ctrough or ATV GIQ and HIV-RNA changes. In conclusion, the number of ATV resistance mutations is the only correlate to virological response through 24 weeks of treatment with unboosted atazanavir 400 mg once daily.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16035256

Source DB:  PubMed          Journal:  New Microbiol        ISSN: 1121-7138            Impact factor:   2.479


  4 in total

1.  Identification and structural characterization of I84C and I84A mutations that are associated with high-level resistance to human immunodeficiency virus protease inhibitors and impair viral replication.

Authors:  Hongmei Mo; Neil Parkin; Kent D Stewart; Liangjun Lu; Tatyana Dekhtyar; Dale J Kempf; Akhteruzzaman Molla
Journal:  Antimicrob Agents Chemother       Date:  2006-11-13       Impact factor: 5.191

2.  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

3.  Pharmacokinetics of Etravirine Combined with Atazanavir/Ritonavir and a Nucleoside Reverse Transcriptase Inhibitor in Antiretroviral Treatment-Experienced, HIV-1-Infected Patients.

Authors:  Catherine Orrell; Franco Felizarta; André Nell; Thomas N Kakuda; Ludo Lavreys; Steven Nijs; Lotke Tambuyzer; Rodica Van Solingen-Ristea; Frank L Tomaka
Journal:  AIDS Res Treat       Date:  2015-01-15

4.  Metabolic and kidney disorders correlate with high atazanavir concentrations in HIV-infected patients: is it time to revise atazanavir dosages?

Authors:  Cristina Gervasoni; Paola Meraviglia; Davide Minisci; Laurenzia Ferraris; Agostino Riva; Simona Landonio; Valeria Cozzi; Nitin Charbe; Lara Molinari; Giuliano Rizzardini; Emilio Clementi; Massimo Galli; Dario Cattaneo
Journal:  PLoS One       Date:  2015-04-15       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.