Mutation covariation of HIV-1 CRF07_BC reverse transcriptase during antiretroviral therapy

Abstract

To understand the effect of HIV-1 drug resistance mutations in the context of antiretroviral therapy (ART), we compared the prevalence of protease (PR) and reverse transcriptase (RT) mutations in HIV-1 CRF07_BC sequences from blood samples of treatment-naive and ART-treated patients. Mutation covariation in the RT and PR of HIV-1 CRF07_BC viruses from 542 treatment-naive patients and 261 patients treated with lamivudine/zidovudine/nevirapine or lamivudine/zidovudine/efavirenz was analysed. Stratified networks were used to display the mutation covariation. Based on the comparison between treatment-naive and ART-treated patients, three types of featured mutations for RT and PR were initially identified: treatment-associated mutations, treatment-agonistic mutations and overlapping polymorphisms. Twelve significant covariation pairs were found between five treatment-associated mutations (K103N, M184V, Q197K, G190A and Y181C) and nine overlapping polymorphisms (A36E, D39N, Y121H, D123E, R135I, T200A, R277K, L283I and D291E). Meanwhile, three covariation pairs between three treatment-associated mutations (I132L and M184V for RT and I15V for PR) and three overlapping polymorphisms (L10I, L36M and A71V) for PR were also detected. Finally, the overlapping polymorphisms for RT and PR were both found to have significant correlations with treatment-associated mutations, indicating a possible association between polymorphisms and drug resistance. When compared with HIV-1 subtype B under the same regimens as CRF07_BC, the mutation covariations of CRF07_BC showed a distinct pattern of RT and PR mutation covariation. The role of polymorphisms in the development of drug resistance has been widely reported. Here, we found a significant correlation between overlapping polymorphisms for RT and PR and treatment-associated mutations, indicating that polymorphisms exert a global influence on treatment-associated mutations. Polymorphism mutations might therefore be considered before initiating ART to improve the efficacy of drug combinations.