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Background: Individuals infected with human immunodeficiency virus (HIV) appear to age faster than the general population, possibly related to HIV infection, antiretroviral therapy, and/or social/environmental factors. We evaluated leukocyte telomere length (LTL), a marker of cellular aging, in HIV-infected and uninfected adults., Methods: Clinical data and blood were collected from Children and women: AntiRetrovirals and the Mechanism of Aging (CARMA) cohort study participants. Variables found to be important in univariate analysis were multivariate model candidates., Results: Of the 229 HIV-infected and 166 HIV-uninfected participants, 76% were women, and 71% were current/previous smokers. In a multivariate model of all participants, older age (P < .001), HIV infection (P = .04), active hepatitis C virus (HCV) infection (P = .02), and smoking (P < .003) were associated with shorter LTL. An interaction was detected, whereby smoking was associated with shorter LTL in HIV-uninfected subjects only. Among those, age and smoking (P ≤ .01) were related to shorter LTL. In 2 models of HIV-infected individuals, age (P ≤ .002) and either active HCV infection (P = .05) or peak HIV RNA ≥100 000 copies/mL (P = .04) were associated with shorter LTL, whereas other HIV disease or treatment parameters were unrelated., Conclusions: Our results suggest that acquisition of HIV and viral load are primarily responsible for the association between HIV-positive status and shorter LTL. The lack of association between LTL and time since HIV diagnosis, antiretroviral treatment, or degree of immune suppression would implicate HIV infection-related factors rather than disease progression or treatment. Smoking effects on LTL appear masked by HIV, and HCV infection may accelerate LTL shortening, particularly in coinfected individuals. The effect of early therapeutic intervention on LTL in HIV and HCV infections should be evaluated.

Genotyping of human immunodeficiency virus type 1 (HIV-1) for antiretroviral drug resistance is routinely used both in clinical practice, to guide the selection of options for an individual's antiretroviral therapy, and in epidemiological studies, to estimate levels of antiretroviral drug resistance in a patient population. However, reliance on results of a single test can result in an underestimation of antiretroviral drug resistance. In the present study, we quantified the prevalence of resistance-associated mutations found in recent genotypic tests of 1734 HIV-1-infected, treatment-experienced subjects who had at least 3 genotypic tests (n = 11,404 genotypic tests total; median, 5 tests/subject) and compared it with that of resistance-associated mutations ever detected in these subjects between 1996 and 2004. Single-point analyses underestimated antiretroviral drug resistance, particularly for nucleoside analogues, in both individuals and patient populations. For example, the prevalence of resistance-associated mutation M184V/I was 25.5% in the most recent genotypes and 58.8% in available historical genotypes. Our results suggest that analysis of a combined historical genotype rather than of a cross-sectional genotype may lead to more accurate estimates of antiretroviral drug resistance in individual patients and in patient populations.