Marcin Horecki, Karol Serwin, Iwona Cielniak, Ewa Siwak, Monika Bociąga Jasik, Anna Kalinowska-Nowak, Błażej Rozpłochowski, Bogusz Aksak-Wąs, Magdalena Witak-Jędra, Aleksandra Szymczak, Bartosz Szetela, Elżbieta Mularska, Adam Witor, Paweł Jakubowski, Maria Hlebowicz, Anita Olczak, Władysław Łojewski, Elżbieta Jabłonowska, Kaja Mielczak, Piotr Ząbek, Miłosz Parczewski
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引用次数: 0
Abstract
Background: Understanding the dynamics of HIV-1 transmission is essential for developing effective screening and intervention strategies. Viral genetic sequences provide valuable information that can be used to infer the history and patterns of viral transmission.
Purpose: Our study explores the structure and dynamics of HIV transmissions in Poland from 1999 to 2022 to elucidate key patterns related with national epidemics.
Methods: To understand the temporal dynamics of transmission routes we examined HIV pol sequence data from 5705 Polish PWH. The HIV-TRAnsmission Cluster Engine (HIV-TRACE) was utilized to identify potential links between different risk groups and putative links to individuals with unreported transmission risk.
Results: Our analyses generated 503 clusters, containing 3942 individuals, and identified 13,917 putative links. Approximately 69.1 % of the sequences formed clusters. In the dataset 32.2 % of individuals were reported MSM transmission route, 7.9 % by heterosexual, and 5.6 % by PWID transmissions. The transmission route was unknown for 54.2 % of patients. Putative transmissions from MSM to all other groups revealed that 45.1 % of links lead to people with unregistered transmission mode. For heterosexual patients, 40.2 % of connections were directed to patients lacking information on infection routes and 30.5 % to MSM individuals. Our analysis unveiled that 45.1 % of cases with unreported transmission routes may be identified as MSM, while 3.5 % might be potential non-disclosed MSM.
Conclusions: Genetic linkages can provide valuable insights into the transmission dynamics among individuals, even in cases where transmission risk information is missing or unreported. The observed association between MSM and unreported cases highlights the potential of molecular epidemiology to complete missing patient data.
期刊介绍：
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .
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