Impact of baseline HIV-1 tropism on viral response and CD4 cell count gains in HIV-infected patients receiving first-line antiretroviral therapy
- PMID: 21628668
- PMCID: PMC3307159
- DOI: 10.1093/infdis/jir218
Impact of baseline HIV-1 tropism on viral response and CD4 cell count gains in HIV-infected patients receiving first-line antiretroviral therapy
Abstract
Background: Viral tropism influences the natural history of human immunodeficiency type 1 (HIV-1) disease: X4 viruses are associated with faster decreases in CD4 cell count. There is scarce information about the influence of viral tropism on treatment outcomes.
Methods: Baseline plasma samples from patients recruited to the ArTEN (Atazanavir/ritnoavir vs. Nevirapine on a background of Tenofovir and Emtricitabine) trial were retrospectively tested for HIV-1 tropism using the genotypic tool geno2pheno(FPR=5.75%). ArTEN compared nevirapine with atazanavir-ritonavir, both along with tenofovir-emtricitabine, in drug-naïve patients.
Results: Of 569 ArTEN patients, 428 completed 48 weeks of therapy; 282 of these received nevirapine and 146 of these received atazanavir-ritonavir. Overall, non-B subtypes of HIV-1 were recognized in 96 patients (22%) and X4 viruses were detected in 55 patients (14%). At baseline, patients with X4 viruses had higher plasma HIV RNA levels (5.4 vs 5.2 log copies/mL, respectively; P = .044) and lower CD4 cell counts (145 vs 188 cells/μL, respectively; P < .001) than those with R5 strains. At week 48, virologic responses were lower in patients with X4 viruses than in patients with R5 viruses (77% vs 92%, respectively; P = .009). Multivariate analysis confirmed HIV-1 tropism as an independent predictor of virologic response at week 24 (P = .012). This association was extended to week 48 (P = .007) in clade B viruses. Conversely, CD4 cell count recovery was not influenced by baseline HIV-1 tropism.
Conclusions: HIV-1 tropism is an independent predictor of virologic response to first-line antiretroviral therapy. In contrast, it does not seem to influence CD4 cell count recovery.
Clinical trials registration: NCT00389207.
References
-
- Poveda E, Briz V, Quiñones-Mateu M, Soriano V. HIV tropism: diagnostic tools and implications for diseases progression and treatment with entry inhibitors. AIDS. 2006;20:1359–67. - PubMed
-
- Daar E, Kesler K, Petropoulos C, et al. Baseline HIV type 1 coreceptor tropism predicts disease progression. Clin Infect Dis. 2007;45:643–9. - PubMed
-
- Waters L, Mandalia S, Randell P, Wildfire A, Gazzard B, Moyle G. The impact of HIV tropism on decreases in CD4 cell count, clinical progression, and subsequent response to a first antiretroviral therapy regimen. Clin Infect Dis. 2008;46:1617–23. - PubMed
Publication types
MeSH terms
Substances
Associated data
LinkOut - more resources
Full Text Sources
Medical
Molecular Biology Databases
Research Materials
