Detection of transmission clusters of HIV-1 subtype C over a 21-year period in Cape Town, South Africa

Characterization of HIV-1 Epidemic in Kyrgyzstan

Kyrgyzstan has one of the highest rates of HIV-1 spread in Central Asia. In this study, we used molecular–epidemiological approaches to examine the HIV-1 epidemic in Kyrgyzstan. Samples were obtained from HIV-positive individuals who visited HIV/AIDS clinics. Partial pol gene sequences were used to identify HIV-1 subtypes and drug resistance mutations (DRMs) and to perform phylogenetic analysis. Genetic diversity and history reconstruction of the major HIV-1 subtypes were explored using BEAST. This study includes an analysis of 555 HIV-positive individuals. The study population was equally represented by men and women aged 1–72 years. Heterosexual transmission was the most frequent, followed by nosocomial infection. Men were more likely to acquire HIV-1 during injection drug use and while getting clinical services, while women were more likely to be infected through sexual contacts (p < 0.01). Heterosexual transmission was the more prevalent among individuals 25–49 years old; individuals over 49 years old were more likely to be persons who inject drugs (PWID). The major HIV-1 variants were CRF02_AG, CRF63_02A, and sub-subtype A6. Major DRMs were detected in 26.9% of the study individuals; 62.2% of those had DRMs to at least two antiretroviral (ARV) drug classes. Phylogenetic analysis revealed a well-defined structure of CRF02_AG, indicating locally evolving sub-epidemics. The lack of well-defined phylogenetic structure was observed for sub-subtype A6. The estimated origin date of CRF02_AG was January 1997; CRF63_02A, April 2004; and A6, June 1995. A rapid evolutionary dynamic of CRF02_AG and A6 among Kyrgyz population since the mid-1990s was observed. We observed the high levels of HIV-1 genetic diversity and drug resistance in the study population. Complex patterns of HIV-1 phylogenetics in Kyrgyzstan were found. This study highlights the importance of molecular–epidemiological analysis for HIV-1 surveillance and treatment implementation to reduce new HIV-1 infections.

The Role of Phylogenetics in Discerning HIV-1 Mixing among Vulnerable Populations and Geographic Regions in Sub-Saharan Africa: A Systematic Review

To reduce global HIV-1 incidence, there is a need to understand and disentangle HIV-1 transmission dynamics and to determine the geographic areas and populations that act as hubs or drivers of HIV-1 spread. In Sub-Saharan Africa (sSA), the region with the highest HIV-1 burden, information about such transmission dynamics is sparse. Phylogenetic inference is a powerful method for the study of HIV-1 transmission networks and source attribution. In this review, we assessed available phylogenetic data on mixing between HIV-1 hotspots (geographic areas and populations with high HIV-1 incidence and prevalence) and areas or populations with lower HIV-1 burden in sSA. We searched PubMed and identified and reviewed 64 studies on HIV-1 transmission dynamics within and between risk groups and geographic locations in sSA (published 1995-2021). We describe HIV-1 transmission from both a geographic and a risk group perspective in sSA. Finally, we discuss the challenges facing phylogenetic inference in mixed epidemics in sSA and offer our perspectives and potential solutions to the identified challenges.

Phylogenetic Analysis of Human Immunodeficiency Virus from People Who Inject Drugs in Indonesia, Ukraine, and Vietnam: HPTN 074

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.

Trends in Pretreatment HIV-1 Drug Resistance in Antiretroviral Therapy-naive Adults in South Africa, 2000-2016: A Pooled Sequence Analysis

BACKGROUND

South Africa has the largest public antiretroviral therapy (ART) programme in the world. We assessed temporal trends in pretreatment HIV-1 drug resistance (PDR) in ART-naïve adults from South Africa.

METHODS

We included datasets from studies conducted between 2000 and 2016, with HIV-1 pol sequences from more than ten ART-naïve adults. We analysed sequences for the presence of 101 drug resistance mutations. We pooled sequences by sampling year and performed a sequence-level analysis using a generalized linear mixed model, including the dataset as a random effect.

FINDINGS

We identified 38 datasets, and retrieved 6880 HIV-1 pol sequences for analysis. The pooled annual prevalence of PDR remained below 5% until 2009, then increased to a peak of 11·9% (95% confidence interval (CI) 9·2-15·0) in 2015. The pooled annual prevalence of non-nucleoside reverse-transcriptase inhibitor (NNRTI) PDR remained below 5% until 2011, then increased to 10.0% (95% CI 8.4-11.8) by 2014. Between 2000 and 2016, there was a 1.18-fold (95% CI 1.13-1.23) annual increase in NNRTI PDR (p < 0.001), and a 1.10-fold (95% CI 1.05-1.16) annual increase in nucleoside reverse-transcriptase inhibitor PDR (p = 0.001).

INTERPRETATION

Increasing PDR in South Africa presents a threat to the efforts to end the HIV/AIDS epidemic. These findings support the recent decision to modify the standard first-line ART regimen, but also highlights the need for broader public health action to prevent the further emergence and transmission of drug-resistant HIV.

SOURCE OF FUNDING

This research project was funded by the South African Medical Research Council (MRC) with funds from National Treasury under its Economic Competitiveness and Support Package.

DISCLAIMER

The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of CDC.

Defining HIV-1 transmission clusters based on sequence data

Understanding HIV-1 transmission dynamics is relevant to both screening and intervention strategies of HIV-1 infection. Commonly, HIV-1 transmission chains are determined based on sequence similarity assessed either directly from a sequence alignment or by inferring a phylogenetic tree. This review is aimed at both nonexperts interested in understanding and interpreting studies of HIV-1 transmission, and experts interested in finding the most appropriate cluster definition for a specific dataset and research question. We start by introducing the concepts and methodologies of how HIV-1 transmission clusters usually have been defined. We then present the results of a systematic review of 105 HIV-1 molecular epidemiology studies summarizing the most common methods and definitions in the literature. Finally, we offer our perspectives on how HIV-1 transmission clusters can be defined and provide some guidance based on examples from real life datasets.

Correlates of Mandrax use and condom beliefs in preventing sexually transmitted infections among a cohort of South African prison inmates

BACKGROUND

This study was designed to identify the extent to which self-reported Mandrax use impacts condom-use beliefs amongst South African prison inmates.

METHODS

Participants were inmates from four prisons in the provinces of KwaZulu-Natal and Mpumalanga. In total, 357 inmates participated in the parent study of which 121 are included in this analysis based on their self-reported use of Mandrax. The questionnaire was developed in English, translated into Zulu, and back translated into English. Age significantly predicted the use of Mandrax: younger prison inmates reported higher use. Linear regression analysis was conducted to determine whether the use of Mandrax was associated with length of incarceration and other demographic variables, as well as participants' self-reported condom use beliefs behavior.

RESULTS

Regression results indicated that two factors operationalizing condom-use beliefs were impacted by Mandrax use: 1) it is important to use condoms every time you have sex (p<0.01); 2) condoms work well to prevent the spread of HIV (p<0.02). Both factors were also inversely related to Mandrax use.

CONCLUSION

STI prevention programs among prison inmates that seek to promote safer sex behaviors among men must address attitudes to condom use, specifically consistent and correct use of latex condoms and reducing substance misuse.

History and origin of the HIV-1 subtype C epidemic in South Africa and the greater southern African region

HIV has spread at an alarming rate in South Africa, making it the country with the highest number of HIV infections. Several studies have investigated the histories of HIV-1 subtype C epidemics but none have done so in the context of social and political transformation in southern Africa. There is a need to understand how these processes affects epidemics, as socio-political transformation is a common and on-going process in Africa. Here, we genotyped strains from the start of the epidemic and applied phylodynamic techniques to determine the history of the southern Africa and South African epidemic from longitudinal sampled data. The southern African epidemic's estimated dates of origin was placed around 1960 (95% HPD 1956-64), while dynamic reconstruction revealed strong growth during the 1970s and 80s. The South African epidemic has a similar origin, caused by multiple introductions from neighbouring countries, and grew exponentially during the 1980s and 90s, coinciding with socio-political changes in South Africa. These findings provide an indication as to when the epidemic started and how it has grown, while the inclusion of sequence data from the start of the epidemic provided better estimates. The epidemic have stabilized in recent years with the expansion of antiretroviral therapy.

A Multiple siRNA-Based Anti-HIV/SHIV Microbicide Shows Protection in Both In Vitro and In Vivo Models

Human immunodeficiency virus (HIV) types 1 and 2 (HIV-1 and HIV-2) are the etiologic agents of AIDS. Most HIV-1 infected individuals worldwide are women, who acquire HIV infections during sexual contact. Blocking HIV mucosal transmission and local spread in the female lower genital tract is important in preventing infection and ultimately eliminating the pandemic. Microbicides work by destroying the microbes or preventing them from establishing an infection. Thus, a number of different types of microbicides are under investigation, however, the lack of their solubility and bioavailability, and toxicity has been major hurdles. Herein, we report the development of multifunctional chitosan-lipid nanocomplexes that can effectively deliver plasmids encoding siRNA(s) as microbicides without adverse effects and provide significant protection against HIV in both in vitro and in vivo models. Chitosan or chitosan-lipid (chlipid) was complexed with a cocktail of plasmids encoding HIV-1-specific siRNAs (psiRNAs) and evaluated for their efficacy in HEK-293 cells, PBMCs derived from nonhuman primates, 3-dimensional human vaginal ectocervical tissue (3D-VEC) model and also in non-human primate model. Moreover, prophylactic administration of the chlipid to deliver a psiRNA cocktail intravaginally with a cream formulation in a non-human primate model showed substantial reduction of SHIV (simian/human immunodeficiency virus SF162) viral titers. Taken together, these studies demonstrate the potential of chlipid-siRNA nanocomplexes as a potential genetic microbicide against HIV infections.