The HIV epidemic in Eastern Europe and Russia is large and not well-controlled. To describe the more recent molecular epidemiology of HIV-1, transmitted drug resistance, and the relationship between the epidemics in this region, we sequenced the protease and reverse transcriptase genes of HIV-1 from 812 people living with HIV from Ukraine (n = 191), Georgia (n = 201), and Russia (n = 420) before the initiation of antiretroviral therapy. In 190 Ukrainian patients, the integrase gene sequence was also determined. The most reported route of transmission was heterosexual contact, followed by intravenous drug use, and men having sex with men (MSM). Several pre-existing drug resistance mutations were found against non-nucleoside reverse transcriptase inhibitors (RTIs) (n = 103), protease inhibitors (n = 11), and nucleoside analogue RTIs (n = 12), mostly polymorphic mutations or revertants. In the integrase gene, four strains with accessory integrase strand transfer inhibitor mutations were identified. Sub-subtype A6 caused most of the infections (713/812; 87.8%) in all three countries, including in MSM. In contrast to earlier studies, no clear clusters related to the route of transmission were identified, indicating that, within the region, the exchange of viruses among the different risk groups may occur more often than earlier reported.

In Russia, antiretroviral therapy (ART) coverage has significantly increased, which, in the absence of routine genotyping testing, could lead to an increase in HIV drug resistance (DR). The aim of this study was to investigate the patterns and temporal trends in HIV DR as well as the prevalence of genetic variants in treatment-naïve patients from 2006 to 2022, using data from the Russian database (4481 protease and reverse transcriptase and 844 integrase gene sequences). HIV genetic variants, and DR and DR mutations (DRMs) were determined using the Stanford Database. The analysis showed high viral diversity, with the predominance of A6 (78.4%), which was the most common in all transmission risk groups. The overall prevalence of surveillance DRMs (SDRMs) was 5.4%, and it reached 10.0% in 2022. Most patients harbored NNRTI SDRMs (3.3%). The prevalence of SDRMs was highest in the Ural (7.9%). Male gender and the CRF63_02A6 variant were association factors with SDRMs. The overall prevalence of DR was 12.7% and increased over time, primarily due to NNRTIs. Because baseline HIV genotyping is unavailable in Russia, it is necessary to conduct surveillance of HIV DR due to the increased ART coverage and DR prevalence. Centralized collection and unified analysis of all received genotypes in the national database can help in understanding the patterns and trends in DR to improve treatment protocols and increase the effectiveness of ART. Moreover, using the national database can help identify regions or transmission risk groups with a high prevalence of HIV DR for epidemiological measures to prevent the spread of HIV DR in the country.

Russia remains one of the areas most affected by HIV in Eastern Europe and Central Asia. The aim of this study was to analyze HIV infection indicators and study trends in Russia using data from the Federal Statistic Form No. 61 “Information about HIV infection”. HIV incidence, prevalence, HIV testing and mortality rates (from 2011 to 2022), and treatment success rates (from 2016 to 2022) were analyzed. These indicators were compared across different federal districts (FDs) of Russia. The findings revealed a significant downward trend in HIV incidence, while a significant upward trend was observed for HIV prevalence. The mortality rate has stabilized since 2018. The coverage of HIV testing and antiretroviral therapy increased over time. The number of people living with HIV-1 (PLWH) with a suppressed viral load in Russia as a whole varied between 72% and 77% during the years under observation. The Siberian and Ural federal districts recorded the highest HIV incidence, while the North Caucasian FD reported the lowest. An increase in HIV testing coverage was observed across all FDs. This comprehensive evaluation of HIV infection indicators within the regional context contributes to the timely implementation of measures aimed at preventing the spread of HIV.

The aim of the study: to analyse diagnostic trends of HIV-infection in the Russian Federation in the period 2017–2022. Materials and methods. The study used data obtained from reports from the Federal Register of persons infected with the human immunodeficiency virus (FRHIV). The circumstances in HIV diagnosis and clinical and epidemiological characteristics of newly diagnosed patients, including CD4+ T-lymphocyte counts, were analysed. A likely time window between presumed infection and confirmation of HIV diagnosis was also determined. Categorical data evaluated in the study were presented as proportions and caparisoned using the chi-square test (χ2). In case of multiple comparisons, the Bonferroni correction for multiplicity was used. Quantitative data were tested for normality using the Kolmogorov-Smirnov criterion. In most cases, nonparametric characteristics of distributions — median and interquartile range — were applied, as well as the Mann-Whitney criteria for comparison of two independent groups and the Kraskell-Wallis criteria for comparison more than two groups, followed by pair wise comparisons using the Mann-Whitney criterion with Bonferroni multiplicity correction. A p-value<0.05 was considered statistically significant. Data analysis and graphical visualization was performed using the statistical software R version 4.1.1 and its libraries.Results and discussion. The results showed an increase in HIV detection through voluntary testing, preventive medical examination, and clinical indications. The proportion of injecting drug users (IDUs) decreased over time, while the involvement of women in the epidemic process and heterosexual transmission increased. Additionally, there was an increase in the proportion of patients aged 35 years and older. The analysis of CD4-cell counts revealed significant differences among gender and age subgroups. Women had higher absolute CD4-lymphocyte counts throughout the follow-up period. Patients aged 0–14 years had the highest proportion of CD4-lymphocytes over 500 cells/μL, while patients over 50 years old had the highest proportion of CD4-lymphocytes less than 200 cells/μL. Men who have sex with men and people infected through mother-to-child transmission had the highest mean baseline CD4-cell counts. IDUs and heterosexuals had a statistically significant decrease in CD4-cell counts over the follow-up period and also had the longest median time from infection to disease detection — 24 and 20 months, respectively.Conclusion: Thus, this study helps identify the most significant risk groups of HIV-infected individuals in Russia at present.

The CRF02_AG and sub-subtype A6 are currently the predominant HIV-1 variants in the Republic of Uzbekistan, but little is known about their time-spatial clustering patterns in high-risk populations. We have applied molecular evolution methods and network analyses to better understand the transmission patterns of these subtypes by analyzing 316 pol sequences obtained during the surveillance study of HIV drug resistance. Network analysis showed that about one third of the HIV infected persons were organized into clusters, including large clusters with more than 35 members. These clusters were composed mostly of injecting drug users and/or heterosexuals, with women having mainly high centrality within networks identified in both subtypes. Phylogenetic analyses of the ‘Uzbek’ sequences, including those publicly available, show that Russia and Ukraine played a role as the main sources of the current subtype A6 epidemic in the Republic. At the same time, Uzbekistan has been a local center of the CRF02_AG epidemic spread in the former USSR since the early 2000s. Both of these HIV-1 variants continue to spread in Uzbekistan, highlighting the importance of identifying transmission networks and transmission clusters to prevent further HIV spread, and the need for HIV prevention and education campaigns in high-risk groups.

Currently, HIV-1 displays a substantial level of genetic diversity on a global scale, partly attributed to its recombinant variants. This study seeks to identify and analyze HIV-1 recombinants in Russia during the last decade of the epidemic. A comprehensive examination was conducted, encompassing 3178 partial pol sequences. Subtyping was achieved through various programs including COMET, the Stanford Database, REGA, jpHMM, RIP, and RDP4 for recombination analysis. The study also involved phylogenetic analysis to trace the origins of the identified recombinants. Primary resistance (PrimDR) prevalence and Drug Resistance Mutations (DRMs) were assessed. The study uncovered an overall proportion of recombinants at 8.7%, with a statistically significant increase in their frequency observed over time (p < 0.001). The Northwestern (18.5%) and Siberian (15.0%) Federal Districts exhibited a high prevalence of recombinants, while the Volga (1.9%) and Ural (2.8%) Federal Districts had a lower prevalence. Among HIV-1 recombinants, a PrimDR prevalence of 11.4% was identified. Notably, significant differences in DRMs were observed, with a higher prevalence of M184V in sub-subtype A6 (p = 0.018) and K103N in CRF63_02A6 (p = 0.002). These findings underscore the increasing HIV-1 genetic diversity and highlight a substantial prevalence of PrimDR among its recombinant forms, emphasizing the necessity for ongoing systematic monitoring.