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Updated: Feb 24, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
Large-scale evaluation of HIV-1 DNA drug resistance testing as a robust tool for clinical decision-making: A
Caihong Wu1, Limin Zhang1, Zhong Chen1,2
1State Key Laboratory of Bioactive Molecules and Druggability Assessment, Center of Clinical Laboratory, The First Affiliated Hospital, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
Abstract:
Human immunodeficiency virus type 1 (HIV-1) drug resistance remains a major challenge in HIV/AIDS management, particularly in individuals with low-level viremia (LLV) where RNA-based drug resistance testing (DRT) often fails. Although HIV-1 DNA DRT represents a promising alternative, its clinical utility has been constrained by insufficient evidence. This nationwide study in China enrolled 9,428 people living with HIV (PLWH), analyzing 10,903 samples spanning a wide viral load (VL) spectrum. To improve RNA detection, an optimized primer design combined with an extracellular particle (EP)-HIV co-isolation technique was developed. We then evaluated the reproducibility of drug resistance mutation (DRM) profiles between paired RNA and DNA DRTs using Sanger sequencing (SS), with single-molecule sequencing employed to establish a dominant sequence threshold. Our findings demonstrated that primer optimization and EP-co-isolation significantly enhanced RNA amplification success. DRMs were prevalent across all VL strata. The combined concordance and degeneracy rates (C/D rates) (where multiple DNA DRMs included all RNA-derived DRMs) between RNA and DNA DRTs ranged from 90.4% to 100% in different gene regions, with higher discordance rates observed in the nucleoside reverse transcriptase inhibitor (NRTI) and non-NRTI (NNRTI) regions. Based on Stanford penalty scores across 25 antiretroviral drugs, the degeneracy group showed a 98.3% ± 1.7% interpretation agreement. Even within the discordance group, mean agreement remained high (89.5% ± 5.0%), with only four NNRTIs exhibiting agreement below 85%. The dominant sequence proportion threshold for HIV-1 DNA was determined to be 24.6%. This study provides strong evidence supporting the integration of HIV-1 DNA DRT into clinical practice for reliable drug resistance surveillance and treatment monitoring.

