The Role of Phylogenetics in Unravelling Patterns of HIV Transmission towards Epidemic Control: The Quebec Experience (2002–2020)

Autor: Brenner, Bluma G., Ibanescu, Ruxandra-Ilinca, Osman, Nathan, Cuadra-Foy, Ernesto, Oliveira, Maureen, Chaillon, Antoine, Stephens, David, Hardy, Isabelle, Routy, Jean-Pierre, Thomas, Réjean, Baril, Jean-Guy, Leblanc, Roger, Tremblay, Cecile, Roger, Michel, Group, The Montreal Primary HIV Infection (PHI) Cohort Study Group The Montreal Primary HIV Infection (PHI) Cohort Study
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Viruses
Volume 13
Issue 8
Viruses, vol 13, iss 8
Viruses, Vol 13, Iss 1643, p 1643 (2021)
ISSN: 1999-4915
DOI: 10.3390/v13081643
Popis: Phylogenetics has been advanced as a structural framework to infer evolving trends in the regional spread of HIV-1 and guide public health interventions. In Quebec, molecular network analyses tracked HIV transmission dynamics from 2002–2020 using MEGA10-Neighbour-joining, HIV-TRACE, and MicrobeTrace methodologies. Phylogenetics revealed three patterns of viral spread among Men having Sex with Men (MSM, n = 5024) and heterosexuals (HET, n = 1345) harbouring subtype B epidemics as well as B and non-B subtype epidemics (n = 1848) introduced through migration. Notably, half of new subtype B infections amongst MSM and HET segregating as solitary transmissions or small cluster networks (2–5 members) declined by 70% from 2006–2020, concomitant to advances in treatment-as-prevention. Nonetheless, subtype B epidemic control amongst MSM was thwarted by the ongoing genesis and expansion of super-spreader large cluster variants leading to micro-epidemics, averaging 49 members/cluster at the end of 2020. The growth of large clusters was related to forward transmission cascades of untreated early-stage infections, younger at-risk populations, more transmissible/replicative-competent strains, and changing demographics. Subtype B and non-B subtype infections introduced through recent migration now surpass the domestic epidemic amongst MSM. Phylodynamics can assist in predicting and responding to active, recurrent, and newly emergent large cluster networks, as well as the cryptic spread of HIV introduced through migration.
Databáze: OpenAIRE
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