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Introduction: New South Wales (NSW) has one of the world's highest uptake rates of HIV pre-exposure prophylaxis (PrEP). This uptake has been credited with sharp declines in HIV transmission, particularly among Australian-born gay and bisexual men. Concerns have been raised around the potential for the emergence of tenofovir (TFV) and XTC (lamivudine/emtricitabine) resistance in settings of high PrEP use. Such an emergence could also increase treatment failure and associated clinical outcomes among people living with HIV (PLHIV). Despite low levels of nucleoside reverse-transcriptase inhibitor (NRTI) resistance relating to PrEP use in clinical settings, there are few published studies describing the prevalence of NRTI resistance among people newly diagnosed with HIV in a setting of high PrEP use., Methods: Using HIV antiretroviral drug resistance data linked to NSW HIV notifications records of people diagnosed from 1 January 2015 to 31 December 2021 and with HIV attributed to male-to-male sex, we described trends in TFV and XTC resistance. Resistance was identified using the Stanford HIV Drug Resistance genotypic resistance interpretation system. To focus on transmitted drug resistance, resistance prevalence estimates were generated using sequences taken less than 3 months post-HIV diagnosis. These estimates were stratified by timing of sequencing relative to the date of diagnosis, year of sequencing, birthplace, likely place of HIV acquisition, and stage of HIV at diagnosis., Results: Among 1119 diagnoses linked to HIV genomes sequenced less than 3 months following diagnosis, overall XTC resistance prevalence was 1.3%. Between 2015 and 2021, XTC resistance fluctuated between 0.5% to 2.9% and was 1.0% in 2021. No TFV resistance was found over the study period in any of the sequences analysed. Higher XTC resistance prevalence was observed among people with newly acquired HIV (evidence of HIV acquisition in the 12 months prior to diagnosis; 2.9%, p = 0.008)., Conclusions: In this Australian setting, TFV and XTC resistance prevalence in new HIV diagnoses remained low. Our findings offer further evidence for the safe scale-up of PrEP in high-income settings, without jeopardizing the treatment of those living with HIV., (© 2024 The Author(s). Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of International AIDS Society.)

Despite long-term antiretroviral therapy (ART), HIV-1 persists within a reservoir of CD4+ T cells that contribute to viral rebound if treatment is interrupted. Identifying the cellular populations that contribute to the HIV-1 reservoir and understanding the mechanisms of viral persistence are necessary to achieve an effective cure. In this regard, through Full-Length Individual Proviral Sequencing, we observed that the HIV-1 proviral landscape was different and changed with time on ART across naive and memory CD4+ T cell subsets isolated from 24 participants. We found that the proportion of genetically intact HIV-1 proviruses was higher and persisted over time in effector memory CD4+ T cells when compared with naive, central, and transitional memory CD4+ T cells. Interestingly, we found that escape mutations remained stable over time within effector memory T cells during therapy. Finally, we provided evidence that Nef plays a role in the persistence of genetically intact HIV-1. These findings posit effector memory T cells as a key component of the HIV-1 reservoir and suggest Nef as an attractive therapeutic target.

New South Wales has the greatest burden of HIV in Australia, with 2012 and 2013 recording the highest rates of new diagnoses in 20 years. Concurrently, there has been significant changes in antiretroviral treatments and testing paradigms. We compiled a statewide resistance database to characterize changes in HIV-1 resistance mutations over time. Genotypic antiretroviral resistance testing (GART) was performed on request at three reference laboratories using commercial and in-house methods. In total, 7629 HIV-1 polymerase sequences obtained from GART from 2004 to 2013 were retrospectively collated, reformatted, de-identified, and analyzed using Stanford HIVdb program 7.0 and the 2009 World Health Organization (WHO) surveillance drug resistance mutations (SDRMs). Analyses were performed on subgroups of known treatment naives, treatment experienced, and seroconverters. There has been a decrease in overall rates of prevalent drug resistance mutations from 57.8% in 2004 to 21% in 2013. Dual and triple class resistance mutations have decreased from 32.7% in 2004 to 5.8% in 2013 and 16.4% to 1.2%, respectively. In treatment-naive individuals ( n  = 450), the frequency of protease inhibitor (PI) mutations remains low at 2.7%. In seroconverters, rates of transmitted drug resistance (TDR) are 6.6%, 3%, 3%, and 1.5% for overall, PI, non-nucleoside reverse transcription inhibitor (NNRTI), and NRTI, respectively. In treatment experienced, rates remain stable with 36.0%, 18.9%, 29.1%, and 6.4% for overall, NNRTI, NRTI, and PI mutations. The most common mutations in treatment experienced occurred at position M184, T215 (NRTI); K103 (NNRTI); I54 (PI). Apparent decreases in prevalent SDRMs can be attributed to changes in GART testing indications over time. In treatment-naive and -experienced subgroups, rates have been stable with low rates of TDR in seroconverters.

Introduction: The human immunodeficiency virus 1 (HIV-1) pandemic is characterized by numerous distinct sub-epidemics (clusters) that continually fuel local transmission. The aims of this study were to identify active growing clusters, to understand which factors most influence the transmission dynamics, how these vary between different subtypes and how this information might contribute to effective public health responses., Methods: We used HIV-1 genomic sequence data linked to demographic factors that accounted for approximately 70% of all new HIV-1 notifications in New South Wales (NSW). We assessed differences in transmission cluster dynamics between subtype B and circulating recombinant form 01&#95;AE (CRF01&#95;AE). Separate phylogenetic trees were estimated using 2919 subtype B and 473 CRF01&#95;AE sequences sampled between 2004 and 2018 in combination with global sequence data and NSW-specific clades were classified as clusters, pairs or singletons. Significant differences in demographics between subtypes were assessed with Chi-Square statistics., Results: We identified 104 subtype B and 11 CRF01&#95;AE growing clusters containing a maximum of 29 and 11 sequences for subtype B and CRF01&#95;AE respectively. We observed a > 2-fold increase in the number of NSW-specific CRF01&#95;AE clades over time. Subtype B clusters were associated with individuals reporting men who have sex with men (MSM) as their transmission risk factor, being born in Australia, and being diagnosed during the early stage of infection (p < 0.01). CRF01&#95;AE infections clusters were associated with infections among individuals diagnosed during the early stage of infection (p < 0.05) and CRF01&#95;AE singletons were more likely to be from infections among individuals reporting heterosexual transmission (p < 0.05). We found six subtype B clusters with an above-average growth rate (>1.5 sequences / 6-months) and which consisted of a majority of infections among MSM. We also found four active growing CRF01&#95;AE clusters containing only infections among MSM. Finally, we found 47 subtype B and seven CRF01&#95;AE clusters that contained a large gap in time (>1 year) between infections and may be indicative of intermediate transmissions via undiagnosed individuals., Conclusions: The large number of active and growing clusters among MSM are the driving force of the ongoing epidemic in NSW for subtype B and CRF01&#95;AE., (© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.)

Changes over time in HIV-1 subtype diversity within a population reflect changes in factors influencing the development of local epidemics. Here we report on the genetic diversity of 2364 reverse transcriptase sequences from people living with HIV-1 in New South Wales (NSW) notified between 2004 and 2018. These data represent >70% of all new HIV-1 notifications in the state over this period. Phylogenetic analysis was performed to identify subtype-specific transmission clusters. Subtype B and non-B infections differed across all demographics analysed ( p < 0.001). We found a strong positive association for infections among females, individuals not born in Australia or reporting heterosexual transmission being of non-B origin. Further, we found an overall increase in non-B infections among men who have sex with men from 50 to 79% in the last 10 years. However, we also found differences between non-B subtypes; heterosexual transmission was positively associated with subtype C only. In addition, the majority of subtype B infections were associated with clusters, while the majority of non-B infections were singletons. However, we found seven non-B clusters (≥5 sequences) indicative of local ongoing transmission. In conclusion, we present how the HIV-1 epidemic has changed over time in NSW, becoming more heterogeneous with distinct subtype-specific demographic associations.

Australia's response to the human immunodeficiency virus type 1 (HIV-1) pandemic led to effective control of HIV transmission and one of the world's lowest HIV incidence rates-0.14%. Although there has been a recent decline in new HIV diagnoses in New South Wales (NSW), the most populous state in Australia, there has been a concomitant increase with non-B subtype infections, particularly for the HIV-1 circulating recombinant form CRF01&#95;AE. This aforementioned CRF01&#95;AE sampled in NSW, were combined with those sampled globally to identify NSW-specific viral clades. The population growth of these clades was assessed in two-year period intervals from 2009 to 2017. Overall, 109 NSW-specific clades were identified, most comprising pairs of sequences; however, five large clades comprising ≥10 sequences were also found. Forty-four clades grew over time with one or two sequences added to each in different two-year periods. Importantly, while 10 of these clades have seemingly discontinued, the remaining 34 were still active in 2016/2017. Seven such clades each comprised ≥10 sequences, and are representative of individual sub-epidemics in NSW. Thus, although the majority of new CRF01&#95;AE infections were associated with small clades that rarely establish ongoing chains of local transmission, individual sub-epidemics are present and should be closely monitored.

The aim of this study was to understand factors associated with increased mortality in a cohort of primary HIV infection (PHI) in New South Wales (NSW) over three decades. Six hundred and two patients with PHI were enrolled from 1984 to 2009. Probabilistic data linkage was performed to NSW Registry of births deaths and marriages and Australian Bureau of Statistics mortality database. Mortality was measured by crude death rate. Pre highly active antiretroviral therapy (pre-HAART) era was defined as before January 1, 1997. A Cox proportional hazard model was used to identify factors associated with death. One hundred and thirty-eight deaths occurred during 6,223 person years (PY) follow-up. Overall crude death rate was 2.2 per 100 PY (95% confidence interval [CI], 1.9-2.6), 3.6 (95% CI, 3.1-4.3)in pre-HAART era and 0.20 (95% CI, 0.08-0.47) in post-HAART era. AIDS was the most frequent cause of death (52%, 72/138), all occurring in the pre-HAART era. Of non-AIDS deaths, the leading known cause was non-AIDS cancer 8% (11/138) followed by suicide 4% (6/138). On multivariate analysis, estimated date of infection in pre-HAART era and time to commencement of ART greater than 1 year post diagnosis were more likely to be associated with death (p < .05). Mortality in PHI has decreased significantly in the post-HAART era. Non-AIDS deaths due to malignancy and suicide are emerging as leading causes in this population in the post-HAART era. Time to starting ART greater than 1 year was associated with increased mortality.

Objectives: To determine if there were any differences in antiretroviral treatment (ART) use across the three eastern states of Australia, New South Wales (NSW), Victoria and Queensland, during the period 1997 to 2006., Methods: We used data from a clinic-based cohort, the Australian HIV Observational Database (AHOD), to determine the proportion of HIV-infected patients on ART in selected clinics in each state and the proportion of treated patients with an undetectable viral load. Data from the national Highly Specialised Drugs program and AHOD were used to estimate total numbers of individuals on ART and the proportion of individuals living with HIV on ART nationally and by state. Data from the HIV Futures Survey and the Gay Community Periodic Survey were used to determine the proportion of community-based men who have sex with men on ART. The proportion of patients with primary HIV infection (PHI) who commenced ART within 1 year of diagnosis was obtained from the Acute Infection and Early Disease Research Program (AIEDRP) CORE01 protocol and Primary HIV and Early Disease Research: Australian Cohort (PHAEDRA) cohorts., Results: We estimated that the numbers of individuals on ART increased from 3181 to 4553 in NSW, 1309 to 1926 in Victoria and 809 to 1615 in Queensland between 2000 and 2006. However, these numbers may reflect a lower proportion of individuals living with HIV on ART in NSW compared with the other states (37% compared with 49 and 55% in 2000). We found similar proportions of HIV-positive men who have sex with men participants were on ART in all three states over the study period in the clinic-based AHOD cohort (81-92%) and two large, community-based surveys in Australia (69-85% and 49-83%). Similar proportions of treated patients had an undetectable viral load across the three states, with a consistently increasing trend over time observed in all states. We found that more PHI patients commenced treatment in the first year following HIV diagnosis in NSW compared with Victoria; however, the sample size was very small., Conclusions: For the most part, patterns of ART use were similar across NSW, Victoria and Queensland using a range of available data from cohort studies, community surveys and national prescription databases in Australia. However, there may be a lower proportion of individuals living with HIV on ART in NSW compared with the other states, and there is some indication of a more aggressive treatment approach with PHI patients in NSW compared with Victoria.

Despite long-term antiretroviral therapy (ART), HIV-1 persists within a reservoir of CD4+ T cells that contribute to viral rebound if treatment is interrupted. Identifying the cellular populations that contribute to the HIV-1 reservoir and understanding the mechanisms of viral persistence are necessary to achieve an effective cure. In this regard, through Full-Length Individual Proviral Sequencing, we observed that the HIV-1 proviral landscape was different and changed with time on ART across naive and memory CD4+ T cell subsets isolated from 24 participants. We found that the proportion of genetically intact HIV-1 proviruses was higher and persisted over time in effector memory CD4+ T cells when compared with naive, central, and transitional memory CD4+ T cells. Interestingly, we found that escape mutations remained stable over time within effector memory T cells during therapy. Finally, we provided evidence that Nef plays a role in the persistence of genetically intact HIV-1. These findings posit effector memory T cells as a key component of the HIV-1 reservoir and suggest Nef as an attractive therapeutic target.