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Objectives: HPTN 075 enrolled men who have sex with men (MSM) and transgender women (TGW) in sub-Saharan Africa. Persons in HIV care or on antiretroviral treatment (ART) were not eligible to enroll. We evaluated antiretroviral (ARV) drug use, viral suppression, and drug resistance in this cohort over a 12-month follow-up period. Methods: Assessments included 64 participants with HIV (39 MSM, 24 TGW, and one gender not specified). ARV drugs were detected using a qualitative assay. Viral load (VL) and drug resistance testing were performed using commercial assays. Results: Over 12 months, the proportion of participants using ARV drugs increased from 28.1% to 59.4% and the proportion with VLs

Background The HIV Prevention Trials Network (HPTN) 075 study evaluated the feasibility of enrolling and retaining men who have sex with men (MSM) and transgender women (TGW) from Kenya, Malawi, and South Africa. During the study follow-up, 21 participants acquired human immunodeficiency virus (HIV) (seroconverters). We analyzed HIV subtype diversity, drug resistance, transmission dynamics, and HIV superinfection data among MSM and TGW enrolled in HPTN 075. Methods HIV genotyping and drug resistance testing were performed for participants living with HIV who had viral loads >400 copies/mL at screening (prevalent cases, n = 124) and seroconverters (n = 21). HIV pol clusters were identified using Cluster Picker. Superinfection was assessed by a longitudinal analysis of env and pol sequences generated by next-generation sequencing. Results HIV genotyping was successful for 123/124 prevalent cases and all 21 seroconverters. The major HIV subtypes were A1 (Kenya) and C (Malawi and South Africa). Major drug resistance mutations were detected in samples from 21 (14.6%) of 144 participants; the most frequent mutations were K103N and M184V/I. Phylogenetic analyses identified 11 clusters (2–6 individuals). Clusters included seroconverters only (n = 1), prevalent cases and seroconverters (n = 4), and prevalent cases only (n = 6). Superinfections were identified in 1 prevalent case and 2 seroconverters. The annual incidence of superinfection was higher among seroconverters than among prevalent cases, and was higher than the rate of primary HIV infection in the cohort. Conclusions This report provides important insights into HIV genetic diversity, drug resistance, and superinfection among MSM and TGW in sub-Saharan Africa. These findings may help to inform future HIV prevention interventions in these high-risk groups.

We used antiretroviral (ARV) drug testing to evaluate the accuracy of self-reported data for HIV status and antiretroviral treatment (ART) among people who inject drugs enrolled in an HIV prevention trial. ARV drugs were detected in enrollment samples from 72/482 = 14.9% HIV-infected participants (39/52 = 75.0% who reported being on ART; 33/430 = 7.7% who reported not being on ART). Overall, 213/482 = 44.2% participants indicated that they were not aware of their HIV-positive status prior to study entry; of those, 30 had ARV drugs detected at enrollment, including 15 who also had ARV drugs detected at the screening visit. These participants were likely aware of their HIV-positive status at study entry but did not report this to study staff. This study shows that self-reported data on HIV testing history and ART may not be accurate and that ARV drug testing can help identify persons who are aware of their HIV-positive status and are on ART.

Background HIV Prevention Trials Network (HPTN) 074 evaluated human immunodeficiency virus (HIV) prevention interventions for people who inject drugs (PWID) in Indonesia, Ukraine, and Vietnam. Study interventions included support for HIV infection and substance use treatment. The study enrolled index participants living with HIV and injection partners who were not living with HIV. Seven partners acquired HIV infection during the study (seroconverters). We analyzed the phylogenetic relatedness between HIV strains in the cohort and the multiplicity of infection in seroconverters. Methods Pol region consensus sequences were used for phylogenetic analysis. Data from next-generation sequencing (NGS, env region) were used to evaluate genetic linkage of HIV from the 7 seroconverters and the corresponding index participants (index-partner pairs), to analyze HIV from index participants in pol sequence clusters, and to analyze multiplicity of HIV infection. Results Phylogenetic analysis of pol sequences from 445 index participants and 7 seroconverters identified 18 sequence clusters (2 index-partner pairs, 1 partner-partner pair, and 15 index-only groups with 2–7 indexes/cluster). Analysis of NGS data confirmed linkage for the 2 index-partner pairs, the partner-partner pair, and 11 of the 15 index-index clusters. The remaining 5 seroconverters had infections that were not linked to the corresponding enrolled index participant. Three (42.9%) of the 7 seroconverters were infected with more than 1 HIV strain (3–8 strains per person). Conclusions We identified complex patterns of HIV clustering and linkage among PWID in 3 communities. This should be considered when designing strategies for HIV prevention for PWID. Clinical Trials Registration NCT02935296.

BackgroundPersons who inject drugs (PWID) have high HIV incidence and prevalence, and may have limited access to antiretroviral therapy (ART) in some settings. We evaluated HIV drug resistance in PWID in a randomized clinical trial (HPTN 074). The study intervention included ART at any CD4 cell count with enhanced support for ART and substance use treatment.MethodsHPTN 074 enrolled HIV-infected PWID (index participants) with viral loads ≥1,000 copies/mL and their HIV-uninfected injection-network partners in Indonesia, Ukraine, and Vietnam; the study limited enrollment of people who reported being on ART. HIV drug resistance testing and antiretroviral (ARV) drug testing were performed using samples collected from index participants at study enrollment.ResultsFifty-four (12.0%) of 449 participants had HIV drug resistance; 29 (53.7%) of the 54 participants had multi-class resistance. Prevalence of resistance varied by study site and was associated with self-report of prior or current ART, detection of ARV drugs, and a history of incarceration. Resistance was detected in 10 (5.6%) of 177 newly diagnosed participants. Participants with resistance at enrollment were less likely to be virally suppressed after 52 weeks of follow-up, independent of study arm.ConclusionsIn HPTN 074, many of the enrolled index participants had HIV drug resistance and more than half of those had multi-class resistance. Some newly-diagnosed participants had resistance, suggesting that they may have been infected with drug-resistant HIV strains. Behavioral and geographic factors were associated with baseline resistance. Baseline resistance was associated with reduced viral suppression during study follow-up. These findings indicate the need for enhanced HIV care in this high-risk population to achieve sustained viral suppression on ART.

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.

Background: HPTN 074 evaluated an HIV prevention intervention for persons who inject drugs (PWID) that included support for HIV and substance use treatment. The study enrolled HIV-infected index participants and HIV-uninfected injection partners (up to five per index) in Indonesia, Ukraine, and Vietnam. Seven partners acquired HIV infection during the study. We analyzed the relationship between HIV strains in this cohort. Methods: HIV from index participants and their partners was sequenced using the ViroSeq HIV-1 Genotyping System. Phylogenetic trees were constructed using RAxML v8.2.10. Pol sequence clusters were identified that had a genetic distance ≤1.5% with ≥90% branch support. Next generation sequencing (NGS, env region) was also performed for the seven seroconverters and the corresponding index participants (index-partner pairs) and from other index participants in pol sequence clusters. Participants were classified as having linked infections if their env sequences formed a distinct monophyletic cluster with ≥90% bootstrap support Findings: Phylogenetic analysis included pol sequences from 445 of 502 index participants and all seven HIV-infected partners. The median pairwise genetic distance at the three study sites ranged from 2.9% to 3.3% with no evidence of large discrete subclades. Eighteen pol clusters were identified, including two of the seven index-partner pairs, one pair of partners enrolled with different indexes, and 15 index-only groups including 36 participants (2-7 index participants per cluster). NGS-env analysis confirmed linkage for both index-partner clusters, the partner-partner cluster, and 11 index-index clusters. Interpretation: Only two of the seven index-partner pairs in this study had genetically-linked HIV infections. Clusters were also identified that included two partners enrolled with different indexes, and groups of 2-7 index participants. These findings suggest that individuals in these PWID communities have exposure to multiple sources of HIV infection. This should be considered when designing strategies for HIV prevention in these high-risk populations. Trial Registration Number: In this report, we analyzed HIV from PWID enrolled in a randomized clinical trial conducted in Indonesia, Ukraine, and Vietnam (HIV Prevention Trials Network [HPTN] 074) Funding Statement: National Institute of Allergy and Infectious Diseases (NIAID), National Institute on Drug Abuse (NIDA), and Office of AIDS Research, of the National Institutes of Health (NIH). Declaration of Interests: None of the authors has a conflict of interest or potential conflict of interest, with the following exceptions: Susan Eshleman has collaborated on research studies with investigators from Abbott Laboratories (distributor of the ViroSeq HIV-1 Genotyping System); Abbott Laboratories has provided reagents for collaborative research studies. Ethics Approval Statement: Written informed consent was signed by each participant in the HPTN 074 trial. The study was approved by institutional review boards and ethics committees of the participating institutions in the United States and at each study site.

Higher HIV diversity has been associated with virologic outcomes in children on antiretroviral treatment (ART). We examined the association of HIV diversity with virologic outcomes in adults from the HPTN 052 trial who initiated ART at CD4 cell counts of 350-550 cells/mm3. A high resolution melting (HRM) assay was used to analyze baseline (pre-treatment) HIV diversity in six regions in the HIV genome (two in gag, one in pol, and three in env) from 95 participants who failed ART. We analyzed the association of HIV diversity in each genomic region with baseline (pre-treatment) factors and three clinical outcomes: time to virologic suppression after ART initiation, time to ART failure, and emergence of HIV drug resistance at ART failure. After correcting for multiple comparisons, we did not find any association of baseline HIV diversity with demographic, laboratory, or clinical characteristics. For the 18 analyses performed for clinical outcomes evaluated, there was only one significant association: higher baseline HIV diversity in one of the three HIV env regions was associated with longer time to ART failure (p = 0.008). The HRM diversity assay may be useful in future studies exploring the relationship between HIV diversity and clinical outcomes in individuals with HIV infection.