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A Systematic Molecular Epidemiology Screen Reveals Numerous Human Immunodeficiency Virus (HIV) Type 1 Superinfections in the Swiss HIV Cohort Study.
Chaudron, Sandra E; Leemann, Christine; Kusejko, Katharina; Nguyen, Huyen; Tschumi, Nadine; Marzel, Alex; Huber, Michael; Böni, Jürg; Perreau, Matthieu; Klimkait, Thomas; Yerly, Sabine; Ramette, Alban; Hirsch, Hans H; Rauch, Andri; Calmy, Alexandra; Vernazza, Pietro; Bernasconi, Enos; Cavassini, Matthias; Metzner, Karin J; Kouyos, Roger D; Günthard, Huldrych F.
Afiliação
  • Chaudron SE; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Leemann C; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Kusejko K; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Nguyen H; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Tschumi N; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Marzel A; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Huber M; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Böni J; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Perreau M; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Klimkait T; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Yerly S; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.
  • Ramette A; Schulthess Klinik, Zurich, Switzerland.
  • Hirsch HH; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Rauch A; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
  • Calmy A; Service of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
  • Vernazza P; Department of Biomedicine, University of Basel, Basel, Switzerland.
  • Bernasconi E; Laboratory of Virology, Geneva University Hospitals, Geneva, Switzerland.
  • Cavassini M; Institute for Infectious Diseases, University of Bern, Bern, Switzerland.
  • Metzner KJ; Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.
  • Kouyos RD; Clinical Virology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland.
  • Günthard HF; Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
J Infect Dis ; 226(7): 1256-1266, 2022 09 28.
Article em En | MEDLINE | ID: mdl-35485458
ABSTRACT

BACKGROUND:

Studying human immunodeficiency virus type 1 (HIV-1) superinfection is important to understand virus transmission, disease progression, and vaccine design. But detection remains challenging, with low sampling frequencies and insufficient longitudinal samples.

METHODS:

Using the Swiss HIV Cohort Study (SHCS), we developed a molecular epidemiology screening for superinfections. A phylogeny built from 22 243 HIV-1 partial polymerase sequences was used to identify potential superinfections among 4575 SHCS participants with longitudinal sequences. A subset of potential superinfections was tested by near-full-length viral genome sequencing (NFVGS) of biobanked plasma samples.

RESULTS:

Based on phylogenetic and distance criteria, 325 potential HIV-1 superinfections were identified and categorized by their likelihood of being detected as superinfections due to sample misidentification. NFVGS was performed for 128 potential superinfections; of these, 52 were confirmed by NFVGS, 15 were not confirmed, and for 61 sampling did not allow confirming or rejecting superinfection because the sequenced samples did not include the relevant time points causing the superinfection signal in the original screen. Thus, NFVGS could support 52 of 67 adequately sampled potential superinfections.

CONCLUSIONS:

This cohort-based molecular approach identified, to our knowledge, the largest population of confirmed superinfections, showing that, while rare with a prevalence of 1%-7%, superinfections are not negligible events.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / Superinfecção / Infecções por HIV / HIV-1 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Infect Dis Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas / Superinfecção / Infecções por HIV / HIV-1 Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Infect Dis Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça