| Literature DB >> 30835292 |
Katharina Kusejko1,2, Nadine Bachmann1,2, Sandra E Chaudron1,2, Huyen Nguyen1,2, Dominique L Braun1,2, Benjamin Hampel1,2, Manuel Battegay3, Enos Bernasconi4, Alexandra Calmy5, Matthias Cavassini6, Matthias Hoffmann7, Jürg Böni2, Sabine Yerly5, Thomas Klimkait8, Matthieu Perreau9, Andri Rauch10, Huldrych F Günthard1,2, Roger D Kouyos1,2.
Abstract
To systematically test whether coinfections spread along the HIV-1 transmission network and whether similarities in HIV-1 genomes predict AIDS-defining illnesses and comorbidities, we analyzed the distribution of these variables on the HIV phylogeny of the densely sampled Swiss HIV Cohort Study. By combining different statistical methods, we could detect, quantify, and explain the clustering of diseases. Infectious conditions such as hepatitis C, but also Kaposi sarcoma, clustered significantly, suggesting transmission of these infections along the HIV-1 transmission network. The clustering of patients with neurocognitive complaints could not be completely explained by the clustering of patients with similar demographic risk factors, which suggests a potential impact of viral genetics. In summary, the consistent and robust signal for coinfections and comorbidities highlights the strong interaction of HIV-1 and other infections and shows the potential of combining phylogenetic methods to identify disease traits that are likely to be related to virus genetic factors.Entities:
Keywords: HIV; coinfections; comorbidities; opportunistic infections; phylogenetic analysis
Mesh:
Year: 2019 PMID: 30835292 DOI: 10.1093/infdis/jiz093
Source DB: PubMed Journal: J Infect Dis ISSN: 0022-1899 Impact factor: 5.226