Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016

Abstract Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions betw...

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Autores principales: Melanie Stecher, Antoine Chaillon, Josef Eberle, Georg M. N. Behrens, Anna-Maria Eis-Hübinger, Clara Lehmann, Alexandra Jablonka, Johannes Bogner, Gerd Fätkenheuer, Christoph D. Spinner, Jan-Christian Wasmuth, Rolf Kaiser, Sanjay R. Mehta, Joerg Janne Vehreschild, Martin Hoenigl
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/2cd82b28d3e54b228fee034c336aa1d0
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Sumario:Abstract Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions between 1999–2016. The regions have in common that they host some of the largest annual festivals in Europe (Carnival and Oktoberfest). Putative links with sequences (n = 150,396) from the Los Alamos HIV Sequence database were evaluated. A total of 595/2,774 (21.4%) sequences linked with at least one other sequence, forming 184 transmission clusters. Clustering individuals were significantly more likely to be younger, male, and report sex with men as their main risk factor (p < 0.001 each). Most clusters (77.2%) consisted exclusively of men; 41 (28.9%) of these included men reporting sex with women. Thirty-two clusters (17.4%) contained sequences from more than one region; clustering men were significantly more likely to be in a position bridging regional HIV epidemics than clustering women (p = 0.027). We found 236 clusters linking 547 sequences from our sample with sequences from the Los Alamos database (n = 1407; 31% from other German centres). These results highlight the pitfalls of focusing HIV prevention efforts on specific risk groups or specific locales.