Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
Regional Variations of Rates and Determinants of Drug Resistance Mutations in People Failing First-line Therapy for HIV-1: A Substudy from the D2EFT Phase 3b/4 Clinical Trial.
СтатьяКлиническое исследование III фазыРандомизированное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Obeng Billal Musah, Hutchinson Jolie, Shaik Ansari, Chetchotisakd Ploenchan, Azwa Iskandar, Wulan Wahyu Nawang, Kumarasamy Nagalingeswaran, Wolff Marcelo, Bruguera José, Losso Marcelo, Kaplan Richard, Diallo Mariama Sadjo, Eriobu Nnakelu, Musoro Godfrey, Kumalawati July, Badamasi Abba, Fitriah Munawaroh, Mulya Deshinta Putri, Law Matthew, Matthews Gail, Di Giallonardo Francesca, Kelleher Anthony Dominic, Dolutegravir and Darunavir Evaluation in Adults Failing Therapy (D2EFT) Study Group
Аннотация
BACKGROUND: D²EFT (Dolutegravir and Darunavir Evaluation in Adults Failing Therapy) was a phase 3b/4 randomized clinical trial designed to assess second-line treatment options systematically. This substudy evaluated the distribution of drug resistance mutations (DRMs) before treatment randomization in individuals failing first-line therapy.
METHODS: From a total of 826 participants across 14 countries, 727 sequences that covered the PR-RT-INT (700), PR-RT (24), and RT (3) regions were analyzed for drug resistance. Sequences were submitted to the Stanford HIV drug resistance database to detect DRMs and assign subtypes. By adjusting for country and antiretroviral therapy regimen, we assessed the association between DRMs and country and reported DRMs.
RESULTS: Subtype C of human immunodeficiency virus type 1 (HIV-1) accounted for most (59.3%) infections. There were extraordinarily high rates of high-level resistance to lamivudine and emtricitabine (both at 88.3%) and for efavirenz and nevirapine (92.8% and 96.8%, respectively). On average, nucleoside reverse transcriptase inhibitor mutations had the highest occurrence across countries with M184V/I detected in 86.2% of the samples, while the highest proportion of nonnucleoside reverse transcriptase inhibitor mutations was K103N at 57.8%. K103N had an increased likelihood of occurrence in African and South American countries (P < .05). Participants with prior exposure to a zidovudine-containing regimen had an increased likelihood of T215F/Y mutations (6.80 [2.59-17.86]), while those with nevirapine/rilpivirine exposure had a decreased likelihood of K103N mutations (0.29 [0.15-0.56]).
CONCLUSIONS: The regional specificity of mutations underscores the dynamic nature of HIV-1 drug resistance patterns and the importance of monitoring and understanding local mutation profiles.
METHODS: From a total of 826 participants across 14 countries, 727 sequences that covered the PR-RT-INT (700), PR-RT (24), and RT (3) regions were analyzed for drug resistance. Sequences were submitted to the Stanford HIV drug resistance database to detect DRMs and assign subtypes. By adjusting for country and antiretroviral therapy regimen, we assessed the association between DRMs and country and reported DRMs.
RESULTS: Subtype C of human immunodeficiency virus type 1 (HIV-1) accounted for most (59.3%) infections. There were extraordinarily high rates of high-level resistance to lamivudine and emtricitabine (both at 88.3%) and for efavirenz and nevirapine (92.8% and 96.8%, respectively). On average, nucleoside reverse transcriptase inhibitor mutations had the highest occurrence across countries with M184V/I detected in 86.2% of the samples, while the highest proportion of nonnucleoside reverse transcriptase inhibitor mutations was K103N at 57.8%. K103N had an increased likelihood of occurrence in African and South American countries (P < .05). Participants with prior exposure to a zidovudine-containing regimen had an increased likelihood of T215F/Y mutations (6.80 [2.59-17.86]), while those with nevirapine/rilpivirine exposure had a decreased likelihood of K103N mutations (0.29 [0.15-0.56]).
CONCLUSIONS: The regional specificity of mutations underscores the dynamic nature of HIV-1 drug resistance patterns and the importance of monitoring and understanding local mutation profiles.