Treatment exposure drives a profound shift toward complex multi-class HIV-1 drug resistance

The long-term success of antiretroviral therapy (ART) is increasingly jeopardized by the emergence of HIV-1 drug resistance (HIVDR). Characterizing the resistance landscape is paramount for maintaining treatment durability, particularly in regions transitioning toward new therapeutic standards. A province-wide cross-sectional study was conducted among HIV-1-infected individuals across Jiangxi Province, China. Participants were systematically selected from the provincial HIV-positive surveillance repository based on standardized sample submission criteria: (1) treatment-naïve individuals with baseline viral load (VL) tested before or within 30 days of ART initiation (evaluating pretreatment drug resistance [PDR], n = 104); and (2) treatment-experienced individuals receiving standardized ART for a minimum of six months with virological failure (VL > 400 copies/mL, n = 307). Genotypic resistance profiles for the pol and integrase genes were characterized and interpreted using the Stanford HIV Drug Resistance Database. A profound shift in the resistance landscape was observed following treatment exposure. The prevalence of multidrug resistance (MDR; ≥2 classes) nearly tripled from 10.58% at treatment-naïve group to 28.01% in the VF group ( p < 0.001). NNRTI-associated mutations predominated, with K103N/R reaching 28.66% in the VF cohort compared to 9.61% in the treatment-naïve cohort. Furthermore, the M184V/I mutation was markedly enriched in the VF group (25.73%), severely compromising the NRTI backbone. While protease inhibitors and integrase strand transfer inhibitors demonstrated high durability exceeding 93% susceptibility, the detection of the polymorphic accessory mutation L74I or M (2.93% in the virological failure cohort) highlights the necessity of establishing baseline integrase surveillance as second-generation integrase inhibitors are scaled up. These findings delineate a critical transition from transmitted to complex, multi-class acquired resistance. These findings delineate a critical transition from pretreatment/baseline drug resistance (PDR) to complex, multi-class acquired resistance (ADR). Our data advocate for an urgent clinical pivot toward robust, INSTI-containing salvage regimens and intensified molecular surveillance in high-burden regions.

Authors

Institutions

Publication Details

Journal
Virology Journal
Published
2026-09-21
DOI
https://doi.org/10.1186/s12985-026-03308-w
Primary Topic
HIV/AIDS drug development and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Treatment exposure drives a profound shift toward complex multi-class HIV-1 drug resistance

Qi Long Zhang, Mao Jia, Huilie Zheng, Zhan Qiu Mao et al.
Virology Journal
HIV/AIDS drug development and treatment
article

Treatment exposure drives a profound shift toward complex multi-class HIV-1 drug resistance

Qi Long Zhang, Mao Jia, Huilie Zheng, Zhan Qiu Mao, Xiao Mei Tang, Yang Hu
article en

Abstract

The long-term success of antiretroviral therapy (ART) is increasingly jeopardized by the emergence of HIV-1 drug resistance (HIVDR). Characterizing the resistance landscape is paramount for maintaining treatment durability, particularly in regions transitioning toward new therapeutic standards. A province-wide cross-sectional study was conducted among HIV-1-infected individuals across Jiangxi Province, China. Participants were systematically selected from the provincial HIV-positive surveillance repository based on standardized sample submission criteria: (1) treatment-naïve individuals with baseline viral load (VL) tested before or within 30 days of ART initiation (evaluating pretreatment drug resistance [PDR], n = 104); and (2) treatment-experienced individuals receiving standardized ART for a minimum of six months with virological failure (VL > 400 copies/mL, n = 307). Genotypic resistance profiles for the pol and integrase genes were characterized and interpreted using the Stanford HIV Drug Resistance Database. A profound shift in the resistance landscape was observed following treatment exposure. The prevalence of multidrug resistance (MDR; ≥2 classes) nearly tripled from 10.58% at treatment-naïve group to 28.01% in the VF group ( p < 0.001). NNRTI-associated mutations predominated, with K103N/R reaching 28.66% in the VF cohort compared to 9.61% in the treatment-naïve cohort. Furthermore, the M184V/I mutation was markedly enriched in the VF group (25.73%), severely compromising the NRTI backbone. While protease inhibitors and integrase strand transfer inhibitors demonstrated high durability exceeding 93% susceptibility, the detection of the polymorphic accessory mutation L74I or M (2.93% in the virological failure cohort) highlights the necessity of establishing baseline integrase surveillance as second-generation integrase inhibitors are scaled up. These findings delineate a critical transition from transmitted to complex, multi-class acquired resistance. These findings delineate a critical transition from pretreatment/baseline drug resistance (PDR) to complex, multi-class acquired resistance (ADR). Our data advocate for an urgent clinical pivot toward robust, INSTI-containing salvage regimens and intensified molecular surveillance in high-burden regions.

Virology Journal
Nanchang University (CN), First Affiliated Hospital of Jiangxi Medical College (CN), Second Affiliated Hospital of Nanchang University (CN), Third Affiliated Hospital of Nanchang University (CN), Jiangxi Chest Hospital (CN)
Good health and well-being
Openalex Percentile: Top 11%
HIV/AIDS drug development and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.