Molecular Epidemiology Reveals Long-Term Changes in HIV Type 1 Subtype B Transmission in Switzerland

Kouyos, Roger D. ; von Wyl, Viktor ; Yerly, Sabine ; Böni, Jürg ; Taffé, Patrick ; Shah, Cyril ; Börgisser, Philippe ; Klimkait, Thomas ; Weber, Rainer ; Hirschel, Bernard ; Cavassini, Matthias ; Furrer, Hansjakob ; Battegay, Manuel ; Vernazza, Pietro L. ; Bernasconi, Enos ; Rickenbach, Martin ; Ledergerber, Bruno ; Bonhoeffer, Sebastian ; Günthard, Huldrych F.

In: The Journal of Infectious Diseases, 2010, vol. 201, no. 10, p. 1488-1497

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    Summary
    Background. Sequence data from resistance testing offer unique opportunities to characterize the structure of human immunodeficiency virus (HIV) infection epidemics. Methods. We analyzed a representative set of HIV type 1 (HIV-1) subtype B pol sequences from 5700 patients enrolled in the Swiss HIV Cohort Study. We pooled these sequences with the same number of sequences from foreign epidemics, inferred a phylogeny, and identified Swiss transmission clusters as clades having a minimal size of 10 and containing ⩾80% Swiss sequences. Results. More than one-half of Swiss patients were included within 60 transmission clusters. Most transmission clusters were significantly dominated by specific transmission routes, which were used to identify the following patient groups: men having sex with men (MSM) (38 transmission clusters; average cluster size, 29 patients) or patients acquiring HIV through heterosexual contact (HETs) and injection drug users (IDUs) (12 transmission clusters; average cluster size, 144 patients). Interestingly, there were no transmission clusters dominated by sequences from HETs only. Although 44% of all HETs who were infected between 1983 and 1986 clustered with injection drug users, this percentage decreased to 18% for 2003-2006 (P < .001), indicating a diminishing role of injection drug users in transmission among HETs over time. Conclusions. Our analysis suggests (1) the absence of a self-sustaining epidemic of HIV-1 subtype B in HETs in Switzerland and (2) a temporally decreasing clustering of HIV infections in HETs and IDUs