Reconstructing the Temporal Origin and the Transmission Dynamics of the HIV Subtype B Epidemic in St. Petersburg, Russia

The HIV/AIDS epidemic in Russia is among the fastest growing in the world. HIV epidemic burden is non-uniform in different Russian regions and diverse key populations. An explosive epidemic has been documented among people who inject drugs (PWID) starting from the mid-1990s, whereas presently, the majority of new infections are linked to sexual transmission. Nationwide, HIV sub-subtype A6 (previously called AFSU) predominates, with the increasing presence of other subtypes, namely subtype B and CRF063_02A. This study explores HIV subtype B sequences from St. Petersburg, collected from 2006 to 2020, in order to phylogenetically investigate and characterize transmission clusters, focusing on their evolutionary dynamics and potential for further growth, along with a socio-demographic analysis of the available metadata. In total, 54% (107/198) of analyzed subtype B sequences were found grouped in 17 clusters, with four transmission clusters with the number of sequences above 10. Using Bayesian MCMC inference, tMRCA of HIV-1 subtype B was estimated to be around 1986 (95% HPD 1984–1991), whereas the estimated temporal origin for the four large clusters was found to be more recent, between 2001 and 2005. The results of our study imply a complex pattern of the epidemic spread of HIV subtype B in St. Petersburg, Russia, still in the exponential growth phase, and in connection to the men who have sex with men (MSM) transmission, providing a useful insight needed for the design of public health priorities and interventions.

[1]  Y. Ostankova,et al.  Detection of Patient HIV-1 Drug Resistance Mutations in Russia’s Northwestern Federal District in Patients with Treatment Failure , 2022, Diagnostics.

[2]  B. Foley,et al.  The emergence and transmission dynamics of HIV-1 CRF07_BC in Mainland China , 2022, Virus evolution.

[3]  Pavel G. Yurovsky,et al.  Prevalence of HIV-1 drug resistance in Eastern European and Central Asian countries , 2022, PloS one.

[4]  W. Sugiura,et al.  Nation-Wide Viral Sequence Analysis of HIV-1 Subtype B Epidemic in 2003–2012 Revealed a Contribution of Men Who Have Sex With Men to the Transmission Cluster Formation and Growth in Japan , 2020, Frontiers in Reproductive Health.

[5]  Wei He,et al.  Dynamics of HIV-1 Molecular Networks Reveal Effective Control of Large Transmission Clusters in an Area Affected by an Epidemic of Multiple HIV Subtypes , 2020, Frontiers in Microbiology.

[6]  R. Maksyutov,et al.  Genetic Diversity of HIV-1 in Krasnoyarsk Krai: Area with High Levels of HIV-1 Recombination in Russia , 2020, BioMed research international.

[7]  S. Friedman,et al.  A New Generation of Drug Users in St. Petersburg, Russia? HIV, HCV, and Overdose Risks in a Mixed-Methods Pilot Study of Young Hard Drug Users , 2019, AIDS and Behavior.

[8]  A. Boyko,et al.  Molecular Surveillance of HIV-1 infection in Krasnoyarsk Region, Russia: Epidemiology, Phylodynamics and Phylogeography. , 2019, Current HIV research.

[9]  E. Kazennova,et al.  Human Immunodeficiency Virus-1 Diversity in the Moscow Region, Russia: Phylodynamics of the Most Common Subtypes , 2019, Front. Microbiol..

[10]  M. Stanojevic,et al.  Exploring Evolutionary and Transmission Dynamics of HIV Epidemic in Serbia: Bridging Socio-Demographic With Phylogenetic Approach , 2019, Front. Microbiol..

[11]  Sebastián Duchêne,et al.  BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis , 2018, bioRxiv.

[12]  M. Thomson,et al.  HIV-1 Genetic Diversity in Recently Diagnosed Infections in Moscow: Predominance of AFSU, Frequent Branching in Clusters, and Circulation of the Iberian Subtype G Variant. , 2018, AIDS research and human retroviruses.

[13]  M. Suchard,et al.  Posterior summarisation in Bayesian phylogenetics using Tracer , 2022 .

[14]  Daniel L. Ayres,et al.  Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10 , 2018, Virus evolution.

[15]  C. Boucher,et al.  Insights on transmission of HIV from phylogenetic analysis to locally optimize HIV prevention strategies , 2017, Current opinion in HIV and AIDS.

[16]  C. Beyrer,et al.  The expanding epidemic of HIV-1 in the Russian Federation , 2017, PLoS medicine.

[17]  E. Maltezos,et al.  Transmission Dynamics of HIV-1 Drug Resistance among Treatment-Naïve Individuals in Greece: The Added Value of Molecular Epidemiology to Public Health , 2017, Genes.

[18]  E. Kazennova,et al.  Genetic Variants of HIV Type 1 in Men Who Have Sex with Men in Russia. , 2017, AIDS research and human retroviruses.

[19]  S. Nikolić,et al.  Forensic application of phylogenetic analyses - Exploration of suspected HIV-1 transmission case. , 2017, Forensic science international. Genetics.

[20]  A. Urbańska,et al.  Expanding HIV-1 subtype B transmission networks among men who have sex with men in Poland , 2017, PloS one.

[21]  C. Delaugerre,et al.  Spatiotemporal dynamics of HIV-1 transmission in France (1999–2014) and impact of targeted prevention strategies , 2017, Retrovirology.

[22]  S. Bonovas,et al.  Detailed Molecular Surveillance of the HIV-1 Outbreak Among People who Inject Drugs (PWID) in Athens During a Period of Four Years. , 2017, Current HIV research.

[23]  N. Gashnikova,et al.  Predominance of CRF63_02A1 and multiple patterns of unique recombinant forms of CRF63_A1 among individuals with newly diagnosed HIV-1 infection in Kemerovo Oblast, Russia , 2017, Archives of Virology.

[24]  A. Leigh Brown,et al.  Transmission of Non-B HIV Subtypes in the United Kingdom Is Increasingly Driven by Large Non-Heterosexual Transmission Clusters , 2015, The Journal of infectious diseases.

[25]  A. Totmenin,et al.  A rapid expansion of HIV-1 CRF63_02A1 among newly diagnosed HIV-infected individuals in the Tomsk Region, Russia. , 2015, AIDS research and human retroviruses.

[26]  R. Heimer,et al.  Two Independent HIV Epidemics in Saint Petersburg, Russia Revealed by Molecular Epidemiology. , 2014, AIDS research and human retroviruses.

[27]  Dong Xie,et al.  BEAST 2: A Software Platform for Bayesian Evolutionary Analysis , 2014, PLoS Comput. Biol..

[28]  E. Kazennova,et al.  HIV-1 genetic variants in the Russian Far East. , 2014, AIDS research and human retroviruses.

[29]  R. Evans European Centre for Disease Prevention and Control. , 2014, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[30]  M. Stanojevic,et al.  Molecular typing of the local HIV-1 epidemic in Serbia. , 2013, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

[31]  M. Bobkova Current status of HIV-1 diversity and drug resistance monitoring in the former USSR. , 2013, AIDS reviews.

[32]  S. Bonhoeffer,et al.  Birth–death skyline plot reveals temporal changes of epidemic spread in HIV and hepatitis C virus (HCV) , 2012, Proceedings of the National Academy of Sciences.

[33]  M. Suchard,et al.  Bayesian Phylogenetics with BEAUti and the BEAST 1.7 , 2012, Molecular biology and evolution.

[34]  Esther Fearnhill,et al.  Transmission Network Parameters Estimated From HIV Sequences for a Nationwide Epidemic , 2011, The Journal of infectious diseases.

[35]  Drew A. Linzer,et al.  poLCA: An R Package for Polytomous Variable Latent Class Analysis , 2011 .

[36]  S. Osmanov,et al.  Molecular Epidemiology of HIV-1 in St Petersburg, Russia: Predominance of Subtype A, Former Soviet Union Variant, and Identification of Intrasubtype Subclusters , 2009, Journal of acquired immune deficiency syndromes.

[37]  D. Richman,et al.  2022 update of the drug resistance mutations in HIV-1. , 2022, Topics in antiviral medicine.

[38]  D. Posada jModelTest: phylogenetic model averaging. , 2008, Molecular biology and evolution.

[39]  Alexei J Drummond,et al.  Choosing appropriate substitution models for the phylogenetic analysis of protein-coding sequences. , 2006, Molecular biology and evolution.

[40]  Stéphane Hué,et al.  HIV-1 pol gene variation is sufficient for reconstruction of transmissions in the era of antiretroviral therapy , 2004, AIDS.

[41]  John P. Huelsenbeck,et al.  MrBayes 3: Bayesian phylogenetic inference under mixed models , 2003, Bioinform..

[42]  V. Lukashov,et al.  Simultaneous introduction of HIV type 1 subtype A and B viruses into injecting drug users in southern Ukraine at the beginning of the epidemic in the former Soviet Union. , 2002, AIDS research and human retroviruses.

[43]  J. Weber,et al.  An HIV type 1 subtype A strain of low genetic diversity continues to spread among injecting drug users in Russia: study of the new local outbreaks in Moscow and Irkutsk. , 2001, AIDS research and human retroviruses.

[44]  J. Goudsmit,et al.  Circulation of subtype A and gagA/envB recombinant HIV type 1 strains among injecting drug users in St. Petersburg, Russia, correlates with geographical origin of infections. , 1999, AIDS research and human retroviruses.

[45]  J. Weber,et al.  A sudden epidemic of HIV type 1 among injecting drug users in the former Soviet Union: identification of subtype A, subtype B, and novel gagA/envB recombinants. , 1998, AIDS research and human retroviruses.

[46]  J. Goudsmit,et al.  Simultaneous introduction of distinct HIV‐1 subtypes into different risk groups in Russia, Byelorussia and Lithuania , 1995, AIDS.

[47]  A. Malykh,et al.  Epidemiology of HIV infection in St. Petersburg, Russia. , 1993, Journal of acquired immune deficiency syndromes.