Related Experiment Video
Updated: Apr 20, 2026

An Affordable HIV-1 Drug Resistance Monitoring Method for Resource Limited Settings
Published on: March 30, 2014
Detection of resistance mutations and CD4 slopes in individuals experiencing sustained virological failure
Anna Schultze1, Roger Paredes2, Caroline Sabin1
1Department of Infection and Population Health, University College London, London, UK.
Introduction:
Several resistance mutations have been shown to affect viral fitness, and the presence of certain mutations might result in clinical benefit for patients kept on a virologically failing regimen due to an exhaustion of drug options. We sought to quantify the effect of resistance mutations on CD4 slopes in patients undergoing episodes of viral failure.
Materials And Methods:
Patients from the EuroSIDA and UK CHIC cohorts undergoing at least one episode of virological failure (>3 consecutive RNA measurements >500 on ART) with at least three CD4 measurements and a resistance test during the episode were included. Mutations were identified using the IAS-US (2013) list, and were presumed to be present from detection until the end of an episode. Multivariable linear mixed models with a random intercept and slope adjusted for age, baseline CD4 count, hepatitis C, drug type, RNA (log-scale), risk group and subtype were used to estimate CD4 slopes. Individual mutations with a population prevalence of >10% were tested for their effect on the CD4 slope.
Results:
A total of 2731 patients experiencing a median of 1 (range 1-4) episodes were included in this analysis. The prevalence of any resistance per episode was 88.4%; NNRTI resistance was most common (78.5%). Overall, CD4 counts declined by 17.1 (-19.7; -14.5) cells per year; this decline was less marked with partial viral suppression (current HIV RNA more than 1.5 log below the setpoint; p=0.01). In multivariable models adjusting for viral load, CD4 decline was slower during episodes with detected resistance compared to episodes without detected resistance (21.0 cells/year less, 95% CI 11.75-30.31, p<0.001). Among those with more than one resistance mutation, there was only weak evidence that class-specific mutations had any effect on the CD4 slope (Table 1). The effects of individual mutations (incl. M184V) were explored, but none were significantly associated with the CD4 slope; for these comparisons, a Bonferroni-corrected p-value level was 0.003.
Conclusions:
In our study population, detected resistance was associated with slightly less steep CD4 declines. This may be due to a biological effect of resistance on CD4 slopes, or other unmeasured factors such as poor adherence among individuals without resistance. Among individuals with detected drug resistance, we found no evidence suggesting that the presence of individual mutations was associated with beneficial CD4 slope changes.
Insights
Detected drug resistance in HIV patients was associated with slower CD4 cell count declines. However, specific resistance mutations did not show a significant impact on CD4 slopes in this study.
Area of Science:
- Virology
- Immunology
- Pharmacology
Background:
- Viral resistance mutations can impact human immunodeficiency virus (HIV) fitness.
- Certain mutations may offer clinical benefits in patients with limited treatment options experiencing viral failure.
- Understanding the effect of resistance on CD4 cell slopes is crucial for managing HIV.
Purpose of the Study:
- To quantify the impact of HIV resistance mutations on CD4 cell count slopes in patients with virologically failing regimens.
- To investigate whether specific resistance mutations correlate with altered CD4 cell dynamics during viral failure.
Main Methods:
- Analysis of data from EuroSIDA and UK CHIC cohorts including patients with virological failure.
- Identification of resistance mutations using the IAS-US (2013) list.
- Multivariable linear mixed-effects models were used to estimate CD4 slopes, adjusting for clinical and demographic factors.
Main Results:
- A total of 2731 patients and 2731 episodes of virological failure were analyzed.
- Prevalence of any resistance per episode was 88.4%, with NNRTI resistance being most common (78.5%).
- Detected resistance was associated with slower CD4 decline (21.0 cells/year less, p<0.001) compared to episodes without resistance. No significant effect of individual mutations on CD4 slopes was observed.
Conclusions:
- Detected HIV drug resistance is linked to slightly less pronounced CD4 cell count declines.
- The observed association may be due to biological effects or unmeasured factors like adherence.
- No evidence suggests individual resistance mutations confer beneficial CD4 slope changes in this cohort.
More Related Videos
07:10Humanized NOD/SCID/IL2rγnull (hu-NSG) Mouse Model for HIV Replication and Latency Studies
Published on: January 7, 2019
13:58Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
Published on: September 26, 2011