Using longitudinally sampled viral nucleotide sequences to characterize the drivers of HIV-1 transmission.

Autor: Reichmuth ML; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Chaudron SE; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Bachmann N; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Nguyen H; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Böni J; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Metzner KJ; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Perreau M; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland., Klimkait T; Department of Biomedicine, University of Basel, Basel, Switzerland., Yerly S; Laboratory of Virology, Geneva University Hospital, Geneva, Switzerland., Hirsch HH; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.; Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland., Hauser C; Department of Infectious Diseases, Bern University Hospital, Bern, Switzerland., Ramette A; Institute for Infectious Diseases, University of Bern, Bern, Switzerland., Vernazza P; Division of Infectious Diseases, Cantonal Hospital St Gallen, St Gallen, Switzerland., Cavassini M; Service of Infectious Diseases, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland., Bernasconi E; Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland., Günthard HF; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Kusejko K; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland., Kouyos RD; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Jazyk: angličtina
Zdroj: HIV medicine [HIV Med] 2021 May; Vol. 22 (5), pp. 346-359. Date of Electronic Publication: 2020 Dec 25.
DOI: 10.1111/hiv.13030
Abstrakt: Objectives: Understanding the drivers of HIV-1 transmission is of importance for curbing the ongoing epidemic. Phylogenetic methods based on single viral sequences allow us to assess whether two individuals are part of the same viral outbreak, but cannot on their own assess who potentially transmitted the virus. We developed and assessed a molecular epidemiology method with the main aim to screen cohort studies for and to characterize individuals who are 'potential HIV-1 transmitters', in order to understand the drivers of HIV-1 transmission.
Methods: We developed and validated a molecular epidemiology approach using longitudinally sampled viral Sanger sequences to characterize potential HIV-1 transmitters in the Swiss HIV Cohort Study.
Results: Our method was able to identify 279 potential HIV-1 transmitters and allowed us to determine the main epidemiological and virological drivers of transmission. We found that the directionality of transmission was consistent with infection times for 72.9% of 85 potential HIV-1 transmissions with accurate infection date estimates. Being a potential HIV-1 transmitter was associated with risk factors including viral load [adjusted odds ratio multivariable (95% confidence interval): 1.86 (1.49-2.32)], syphilis coinfection [1.52 (1.06-2.19)], and recreational drug use [1.45 (1.06-1.98)]. By contrast for the potential HIV-1 recipients, this association was weaker or even absent [1.18 (0.82-1.72), 0.89 (0.52-1.55) and 1.53 (0.98-2.39), respectively], indicating that inferred directionality of transmission is useful at the population level.
Conclusions: Our results indicate that longitudinally sampled Sanger sequences do not provide sufficient information to identify transmitters with high certainty at the individual level, but that they allow the drivers of transmission at the population level to be characterized.
(© 2020 British HIV Association.)
Databáze: MEDLINE
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