OBJECTIVE: To define genotypic and phenotypic resistance patterns following prolonged therapy with the protease inhibitor ritonavir (ABT-538). DESIGN: Seven HIV-1-infected patients, all but one previously treated with dideoxynucleoside analogues (zidovudine, didanosine, zalcitabine), were treated for 1 year with ritonavir. METHODS: Direct solid-phase sequencing of the protease gene starting from plasma derived viral RNA followed by comparison to phenotypic drug resistance data. RESULTS: The most frequent amino-acid substitutions occurring upon administration of the protease inhibitor were V82A/F (substrate binding site), I54V (flap region), A71V and L10I. Additional mutations found in more than one patient were I15V, M36I, I84V and I93L. Mutation L63P was found both in pre- and post-ritonavir samples. Phenotypic drug resistance assays confirmed resistance to ritonavir in post-treatment samples (approximately 170-fold) and showed cross-resistance to indinavir (approximately 30-fold) and partially to saquinavir (approximately fivefold). At 1 year of treatment, one patient without known resistance-associated mutations in the protease gene still showed a substantial rise in CD4 cell count accompanied by a more than 2.4 log decrease in RNA viral load. However, at week 78, mutations R8Q, E34K, R57K, L63P and I84V were detected and the treatment benefit was partially lost. CONCLUSIONS: Long-term treatment with ritonavir is associated with the emergence of multiple mutations in the HIV-1 protease gene. The mutations L10I, I54V, L63P, A71V, V82A/F and I84V correspond to known drug-resistance mutations for ritonavir and other protease inhibitors. Phenotypic resistance to ritonavir was detected in a majority of ritonavir-treated patients at 1 year of treatment. In addition, long-term ritonavir treatment selects for cross-resistance to the protease inhibitors indinavir and saquinavir. This argues against sequential therapy with several protease inhibitors. Delayed resistance in one patient was accompanied with a prolonged increase in CD4 cell count and decrease in viral load suggesting a temporary benefit of treatment.
OBJECTIVE: To define genotypic and phenotypic resistance patterns following prolonged therapy with the protease inhibitor ritonavir (ABT-538). DESIGN: Seven HIV-1-infectedpatients, all but one previously treated with dideoxynucleoside analogues (zidovudine, didanosine, zalcitabine), were treated for 1 year with ritonavir. METHODS: Direct solid-phase sequencing of the protease gene starting from plasma derived viral RNA followed by comparison to phenotypic drug resistance data. RESULTS: The most frequent amino-acid substitutions occurring upon administration of the protease inhibitor were V82A/F (substrate binding site), I54V (flap region), A71V and L10I. Additional mutations found in more than one patient were I15V, M36I, I84V and I93L. Mutation L63P was found both in pre- and post-ritonavir samples. Phenotypic drug resistance assays confirmed resistance to ritonavir in post-treatment samples (approximately 170-fold) and showed cross-resistance to indinavir (approximately 30-fold) and partially to saquinavir (approximately fivefold). At 1 year of treatment, one patient without known resistance-associated mutations in the protease gene still showed a substantial rise in CD4 cell count accompanied by a more than 2.4 log decrease in RNA viral load. However, at week 78, mutations R8Q, E34K, R57K, L63P and I84V were detected and the treatment benefit was partially lost. CONCLUSIONS: Long-term treatment with ritonavir is associated with the emergence of multiple mutations in the HIV-1 protease gene. The mutations L10I, I54V, L63P, A71V, V82A/F and I84V correspond to known drug-resistance mutations for ritonavir and other protease inhibitors. Phenotypic resistance to ritonavir was detected in a majority of ritonavir-treated patients at 1 year of treatment. In addition, long-term ritonavir treatment selects for cross-resistance to the protease inhibitors indinavir and saquinavir. This argues against sequential therapy with several protease inhibitors. Delayed resistance in one patient was accompanied with a prolonged increase in CD4 cell count and decrease in viral load suggesting a temporary benefit of treatment.
Authors: D Descamps; G Collin; F Letourneur; C Apetrei; F Damond; I Loussert-Ajaka; F Simon; S Saragosti; F Brun-Vézinet Journal: J Virol Date: 1997-11 Impact factor: 5.103
Authors: H Pelemans; R Esnouf; A Dunkler; M A Parniak; A M Vandamme; A Karlsson; E De Clercq; J P Kleim; J Balzarini Journal: J Virol Date: 1997-11 Impact factor: 5.103
Authors: Ravikiran S Yedidi; Harisha Garimella; Manabu Aoki; Hiromi Aoki-Ogata; Darshan V Desai; Simon B Chang; David A Davis; W Sean Fyvie; Joshua D Kaufman; David W Smith; Debananda Das; Paul T Wingfield; Kenji Maeda; Arun K Ghosh; Hiroaki Mitsuya Journal: Antimicrob Agents Chemother Date: 2014-04-21 Impact factor: 5.191
Authors: J Servais; C Lambert; E Fontaine; J M Plesséria; I Robert; V Arendt; T Staub; F Schneider; R Hemmer; G Burtonboy; J C Schmit Journal: J Clin Microbiol Date: 2001-02 Impact factor: 5.948
Authors: S Rusconi; S La Seta Catamancio; P Citterio; S Kurtagic; M Violin; C Balotta; M Moroni; M Galli; A d'Arminio-Monforte Journal: Antimicrob Agents Chemother Date: 2000-05 Impact factor: 5.191
Authors: David A Davis; Irene R Tebbs; Sarah I Daniels; Stephen J Stahl; Joshua D Kaufman; Paul Wingfield; Michael J Bowman; Jean Chmielewski; Robert Yarchoan Journal: Biochem J Date: 2009-04-15 Impact factor: 3.857
Authors: Klára Grantz Sasková; Milan Kozísek; Martin Lepsík; Jirí Brynda; Pavlína Rezácová; Jana Václavíková; Ron M Kagan; Ladislav Machala; Jan Konvalinka Journal: Protein Sci Date: 2008-06-17 Impact factor: 6.725