Non-B subtypes account for a large proportion of clustered primary HIV-1 infections in Italy

Sex Transm Infect. 2023 Feb;99(1):53-56. doi: 10.1136/sextrans-2021-055289. Epub 2022 Apr 20.

Abstract

Objectives and design: Using pol sequences obtained for routine resistance testing, we characterised the molecular patterns of HIV-1 transmission and factors associated with being part of a transmission cluster among individuals who in 2008-2014 presented with primary HIV-1 infection (PHI) at 11 urban centres across Italy.

Methods: Pol sequences were obtained by Sanger sequencing. Transmission clusters were identified by phylogenetic analysis (maximum likelihood method, confirmed by Bayesian analysis). Multivariable logistic regression explored factors associated with a participant being part of a transmission cluster.

Results: The PHI cohort comprised 186 participants (159/186, 85.5% males) with median age 44 years, median CD4 count 464 cells/mm3 and median plasma HIV-1 RNA 5.6 log10 copies/mL. Drug resistance associated mutations were found in 16/186 (8.6%). A diversity of non-B subtypes accounted for 60/186 (32.3%) of all infections. A total of 17 transmission clusters were identified, including 44/186 (23.7%) participants. Each cluster comprised 2-6 sequences. Non-B subtypes accounted for seven clusters and 22/44 (50%) of clustered sequences. In multivariable logistic regression analysis, factors associated with being part of a transmission cluster comprised harbouring a non-B subtype (adjusted OR (adjOR) 2.28; 95% CI 1.03 to 5.05; p=0.04) and showing a lower plasma HIV-1 RNA (adjOR 0.80, 95% CI 0.64 to 0.99; p=0.04).

Conclusions: There was a large contribution of diverse non-B subtypes to transmission clusters among people presenting with acute or recent HIV-1 infection in this cohort, illustrating the evolving dynamics of the HIV-1 epidemic in Italy, where subtype B previously dominated.

Keywords: Disease Transmission, Infectious; HIV; MOLECULAR EPIDEMIOLOGY.

MeSH terms

  • Adult
  • Bayes Theorem
  • Cluster Analysis
  • Female
  • Genotype
  • HIV Infections* / epidemiology
  • HIV Seropositivity*
  • HIV-1* / genetics
  • Humans
  • Italy / epidemiology
  • Male
  • Molecular Epidemiology
  • Phylogeny
  • RNA

Substances

  • RNA