Characterisation of HIV-1 molecular transmission clusters among newly diagnosed individuals infected with non-B subtypes in Italy

Sex Transm Infect. 2019 Dec;95(8):619-625. doi: 10.1136/sextrans-2019-054017. Epub 2019 May 10.

Abstract

Objective: We evaluated the characteristics of HIV-1 molecular transmission clusters (MTCs) in 1890 newly diagnosed individuals infected with non-B subtypes between 2005 and 2017 in Italy.

Methods: Phylogenetic analyses were performed on pol sequences to characterise subtypes/circulating recombinant forms and identify MTCs. MTCs were divided into small (SMTCs, 2-3 sequences), medium (MMTCs, 4-9 sequences) and large (LMTCs, ≥10 sequences). Factors associated with MTCs were evaluated using logistic regression analysis.

Results: 145 MTCs were identified and involved 666 individuals (35.2%); 319 of them (16.9%) were included in 13 LMTCs, 111 (5.9%) in 20 MMTCs and 236 (12.5%) in 112 SMTCs. Compared with individuals out of MTCs, individuals involved in MTCs were prevalently Italian (72.7% vs 30.9%, p<0.001), male (82.9% vs 62.3%, p<0.001) and men who have sex with men (MSM) (43.5% vs 14.5%, p<0.001). Individuals in MTCs were also younger (median (IQR) years: 41 (35-49) vs 43 (36-51), p<0.001) and had higher CD4 cell count in comparison with individuals out of MTCs (median (IQR): 109/L: 0.4 (0.265-0.587) vs 0.246 (0.082-0.417), p<0.001). The viral load remained stable between the two groups (median (IQR) log10 copies/mL: 4.8 (4.2-5.5) vs 5.0 (4.3-5.5), p=0.87). Logistic regression confirmed that certain factors such as being MSM, of Italian origin, younger age and higher CD4 cell count were significantly associated with MTCs.

Conclusions: Our findings show that HIV-1 newly diagnosed individuals infected with non-B subtypes are involved in several MTCs in Italy. These MTCs include mainly Italians and MSM and highlight the complex phenomenon characterising the HIV-1 spread. This is important especially in view of monitoring the HIV epidemic and guiding the public health response.

Keywords: HIV; molecular epidemiology; transmission dynamics; transmission networks; virology HIV.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cluster Analysis*
  • Disease Transmission, Infectious*
  • Female
  • Genotype
  • HIV Infections / transmission*
  • HIV Infections / virology*
  • HIV-1 / classification*
  • HIV-1 / genetics*
  • HIV-1 / isolation & purification
  • Humans
  • Italy / epidemiology
  • Male
  • Middle Aged
  • Molecular Epidemiology*
  • Phylogeny