OBJECTIVES: To define whether the prevalence of mutations associated with integrase inhibitor (INI) resistance is different in untreated versus antiretroviral-treated HIV-1-infected individuals (all INI naive). METHODS: Gene sequences of the integrase (IN) and reverse transcriptase (RT) obtained from plasma samples of a well-defined cohort of 448 HIV-1-infected individuals (134 drug naive and 314 antiretroviral treated) were analysed. Docking simulations, using RT and IN models, were also performed. RESULTS: Primary mutations and the majority of secondary mutations for raltegravir or elvitegravir were completely absent (or rarely found, <1%) in INI-naive patients, either drug naive or antiretroviral treated. Specific IN polymorphisms increased their frequency in antiretroviral-treated patients, and showed positive associations with specific RT resistance mutations. M154I and V165I IN polymorphisms occurred at a frequency of 6% in untreated patients, reaching 21.3% and 13.4%, respectively, in antiretroviral-treated patients. The mutation M154L, absent in drug-naive patients, was prevalent at 5.7% in antiretroviral-treated patients, and was positively associated with RT resistance mutations F227L and T215Y. Similarly, V165I and G163R mutations were associated with the RT resistance mutations F227L and M230L, respectively, and the T206S polymorphism was associated with the RT resistance mutation L210W. Docking simulations showed several favourable contacts between IN and RT residues. CONCLUSIONS: Overall, results confirm that primary and secondary INI-associated mutations are absent or extremely rare in INI-naive patients. Conversely, a few specific IN polymorphisms found in INI-naive patients increased their frequency in antiretroviral-failing patients and/or are associated with RT resistance mutations. The potential contribution of such polymorphisms to the evolution of resistance under the pressure of INIs needs further investigation.
OBJECTIVES: To define whether the prevalence of mutations associated with integrase inhibitor (INI) resistance is different in untreated versus antiretroviral-treated HIV-1-infected individuals (all INI naive). METHODS: Gene sequences of the integrase (IN) and reverse transcriptase (RT) obtained from plasma samples of a well-defined cohort of 448 HIV-1-infected individuals (134 drug naive and 314 antiretroviral treated) were analysed. Docking simulations, using RT and IN models, were also performed. RESULTS: Primary mutations and the majority of secondary mutations for raltegravir or elvitegravir were completely absent (or rarely found, <1%) in INI-naive patients, either drug naive or antiretroviral treated. Specific IN polymorphisms increased their frequency in antiretroviral-treated patients, and showed positive associations with specific RT resistance mutations. M154I and V165I IN polymorphisms occurred at a frequency of 6% in untreated patients, reaching 21.3% and 13.4%, respectively, in antiretroviral-treated patients. The mutation M154L, absent in drug-naive patients, was prevalent at 5.7% in antiretroviral-treated patients, and was positively associated with RT resistance mutations F227L and T215Y. Similarly, V165I and G163R mutations were associated with the RT resistance mutations F227L and M230L, respectively, and the T206S polymorphism was associated with the RT resistance mutation L210W. Docking simulations showed several favourable contacts between IN and RT residues. CONCLUSIONS: Overall, results confirm that primary and secondary INI-associated mutations are absent or extremely rare in INI-naive patients. Conversely, a few specific IN polymorphisms found in INI-naive patients increased their frequency in antiretroviral-failing patients and/or are associated with RT resistance mutations. The potential contribution of such polymorphisms to the evolution of resistance under the pressure of INIs needs further investigation.
Authors: N P Mantovani; R G Azevedo; J T Rabelato; S Sanabani; R S Diaz; S V Komninakis Journal: J Clin Microbiol Date: 2012-03-07 Impact factor: 5.948
Authors: Hanh T Pham; Lydia Labrie; Ingeborg E A Wijting; Said Hassounah; Ka Yee Lok; Inna Portna; Mark E Goring; Yingshan Han; Cynthia Lungu; Marchina E van der Ende; Bluma G Brenner; Charles A Boucher; Bart J A Rijnders; Jeroen J A van Kampen; Thibault Mesplède; Mark A Wainberg Journal: J Infect Dis Date: 2018-07-24 Impact factor: 5.226
Authors: Jan Weber; Justine D Rose; Ana C Vazquez; Dane Winner; Nicolas Margot; Damian J McColl; Michael D Miller; Miguel E Quiñones-Mateu Journal: PLoS One Date: 2013-06-11 Impact factor: 3.240