AI Article Synopsis

  • The study aimed to investigate how coinfections spread within the HIV-1 transmission network and if similarities in HIV-1 genomes can predict the onset of AIDS-related illnesses and other health issues.
  • Researchers used various statistical methods to analyze the HIV phylogeny from the Swiss HIV Cohort Study, finding significant clustering of diseases like hepatitis C and Kaposi sarcoma among HIV patients.
  • The results indicated that there is a complex relationship between HIV-1 and other infections, suggesting that viral genetics may play a role in the clustering of neurocognitive complaints among patients beyond just demographic factors.

Article 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.

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http://dx.doi.org/10.1093/infdis/jiz093DOI Listing

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