HIV Drug Resistance in Adults Receiving Early vs. Delayed Antiretroviral Therapy: HPTN 052

Introduction: We evaluated HIV drug resistance in adults who received early vs. delayed antiretroviral therapy (ART) in a multinational trial [HIV Prevention Trials Network (HPTN) 052, enrollment 2005-2010]. In HPTN 052, 1763 index participants were randomized to start ART at a CD4 cell count of 350-550 cells/mm 3 (early ART arm) or 1000 copies/mL >24 weeks after ART initiation. Drug resistance testing was performed for pretreatment (baseline) and failure samples from participants with virologic failure. Results: HIV genotyping results were obtained for 211/249 participants (128 early ART arm and 83 delayed ART arm) with virologic failure. Drug resistance was detected in 4.7% of participants at baseline; 35.5% had new resistance at failure. In univariate analysis, the frequency of new resistance at failure was lower among participants in the early ART arm (compared with delayed ART arm, P = 0.06; compared with delayed ART arm with ART initiation before May 2011, P = 0.032). In multivariate analysis, higher baseline viral load (P = 0.0008) and ART regimen (efavirenz/lamivudine/zidovudine compared with other regimens, P = 0.024) were independently associated with higher risk of new resistance at failure. Conclusions: In HPTN 052, the frequency of new drug resistance at virologic failure was lower in adults with early ART initiation. The main factor associated with reduced drug resistance with early ART was lower baseline viral load

Natural clusters of tuberous sclerosis complex (TSC)-associated neuropsychiatric disorders (TAND): new findings from the TOSCA TAND research project.

BACKGROUND: Tuberous sclerosis complex (TSC)-associated neuropsychiatric disorders (TAND) have unique, individual patterns that pose significant challenges for diagnosis, psycho-education, and intervention planning. A recent study suggested that it may be feasible to use TAND Checklist data and data-driven methods to generate natural TAND clusters. However, the study had a small sample size and data from only two countries. Here, we investigated the replicability of identifying natural TAND clusters from a larger and more diverse sample from the TOSCA study. METHODS: As part of the TOSCA international TSC registry study, this embedded research project collected TAND Checklist data from individuals with TSC. Correlation coefficients were calculated for TAND variables to generate a correlation matrix. Hierarchical cluster and factor analysis methods were used for data reduction and identification of natural TAND clusters. RESULTS: A total of 85 individuals with TSC (female:male, 40:45) from 7 countries were enrolled. Cluster analysis grouped the TAND variables into 6 clusters: a scholastic cluster (reading, writing, spelling, mathematics, visuo-spatial difficulties, disorientation), a hyperactive/impulsive cluster (hyperactivity, impulsivity, self-injurious behavior), a mood/anxiety cluster (anxiety, depressed mood, sleep difficulties, shyness), a neuropsychological cluster (attention/concentration difficulties, memory, attention, dual/multi-tasking, executive skills deficits), a dysregulated behavior cluster (mood swings, aggressive outbursts, temper tantrums), and an autism spectrum disorder (ASD)-like cluster (delayed language, poor eye contact, repetitive behaviors, unusual use of language, inflexibility, difficulties associated with eating). The natural clusters mapped reasonably well onto the six-factor solution generated. Comparison between cluster and factor solutions from this study and the earlier feasibility study showed significant similarity, particularly in cluster solutions. CONCLUSIONS: Results from this TOSCA research project in an independent international data set showed that the combination of cluster analysis and factor analysis may be able to identify clinically meaningful natural TAND clusters. Findings were remarkably similar to those identified in the earlier feasibility study, supporting the potential robustness of these natural TAND clusters. Further steps should include examination of larger samples, investigation of internal consistency, and evaluation of the robustness of the proposed natural clusters

Characterization of HIV type 1 genetic diversity among South African participants enrolled in the AIDS Vaccine Integrated Project (AVIP) Study

The genetic diversity of HIV-1 strains circulating among HIV-1-infected South Africans was investigated in a cohort of 420 individuals enrolled as part of the AIDS Vaccine Integrated Project (AVIP) study. Representative samples (10%) were randomly selected from treatment-naive participants. Viral RNA was extracted for reverse transcriptase-initiated amplification and population-based sequencing of partial pol (encompassing protease and reverse transcriptase) and full-length integrase. Overall, HIV-1 sequences confirmed that 97.1% and 96.9% were HIV-1 subtype C in pol and integrase, respectively. Two participants were infected with unique A1/C and C/A1 recombinants in pol/integrase. Further pol sequence analysis identified mutation patterns associated with high level resistance to NNRTIs in two participants, whereas no primary mutations conferring resistance to integrase inhibitors were detected. The predominance of HIV-1 subtype C in South African populations is therefore confirmed in the AVIP cohort finalized for testing preventive or therapeutic vaccines against HIV-1 infection. © 2010, Mary Ann Liebert, Inc.Articl

Characterization of HIV Type 1 genetic diversity among South African participants enrolled in the AIDS Vaccine Integrated Project (AVIP) Study

The genetic diversity of HIV-1 strains circulating among HIV-1-infected South Africans was investigated in a cohort of 420 individuals enrolled as part of the AIDS Vaccine Integrated Project (AVIP) study. Representative samples (10%) were randomly selected from treatment-naive participants. Viral RNA was extracted for reverse transcriptase-initiated amplification and population-based sequencing of partial pol (encompassing protease and reverse transcriptase) and full-length integrase. Overall, HIV-1 sequences confirmed that 97.1% and 96.9% were HIV-1 subtype C in pol and integrase, respectively. Two participants were infected with unique A1/C and C/A1 recombinants in pol/integrase. Further pol sequence analysis identified mutation patterns associated with high level resistance to NNRTIs in two participants, whereas no primary mutations conferring resistance to integrase inhibitors were detected. The predominance of HIV-1 subtype C in South African populations is therefore confirmed in the AVIP cohort finalized for testing preventive or therapeutic vaccines against HIV-1 infection