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- Title
Molecular Analysis of Human Immunodeficiency Virus Type 1 (HIV-1)-Infected Individuals in a Network-Based Intervention (Transmission Reduction Intervention Project): Phylogenetics Identify HIV-1-Infected Individuals With Social Links.
- Authors
Kostaki, Evangelia-Georgia; Nikolopoulos, Georgios K; Pavlitina, Eirini; Williams, Leslie; Magiorkinis, Gkikas; Schneider, John; Skaathun, Britt; Morgan, Ethan; Psichogiou, Mina; Daikos, Georgios L; Sypsa, Vana; Smyrnov, Pavlo; Korobchuk, Ania; Malliori, Meni; Hatzakis, Angelos; Friedman, Samuel R; Paraskevis, Dimitrios
- Abstract
<bold>Background: </bold>The Transmission Reduction Intervention Project (TRIP) is a network-based intervention that aims at decreasing human immunodeficiency virus type 1 (HIV-1) spread. We herein explore associations between transmission links as estimated by phylogenetic analyses, and social network-based ties among persons who inject drugs (PWID) recruited in TRIP.<bold>Methods: </bold>Phylogenetic trees were inferred from HIV-1 sequences of TRIP participants. Highly supported phylogenetic clusters (transmission clusters) were those fulfilling 3 different phylogenetic confidence criteria. Social network-based ties (injecting or sexual partners, same venue engagement) were determined based on personal interviews, recruitment links, and field observation.<bold>Results: </bold>TRIP recruited 356 individuals (90.2% PWID) including HIV-negative controls; recently HIV-infected seeds; long-term HIV-infected seeds; and their social network members. Of the 150 HIV-infected participants, 118 (78.7%) were phylogenetically analyzed. Phylogenetic analyses suggested the existence of 13 transmission clusters with 32 sequences. Seven of these clusters included 14 individuals (14/32 [43.8%]) who also had social ties with at least 1 member of their cluster. This proportion was significantly higher than what was expected by chance.<bold>Conclusions: </bold>Molecular methods can identify HIV-infected people socially linked with another person in about half of the phylogenetic clusters. This could help public health efforts to locate individuals in networks with high transmission rates.
- Subjects
HIV; AIDS treatment; PHYLOGENY; DISEASE management; SOCIAL background
- Publication
Journal of Infectious Diseases, 2018, Vol 218, Issue 5, p707
- ISSN
0022-1899
- Publication type
journal article
- DOI
10.1093/infdis/jiy239