Bozzi Giorgio, Fabeni Lavinia, Abbate Isabella, Berno Giulia, Muscatello Antonio, Taramasso Lucia, Fabbiani Massimiliano, Nozza Silvia, Tambussi Giuseppe, Rusconi Stefano, Giacomelli Andrea, Focà Emanuele, Pinnetti Carmela, d'Ettorre Gabriella, Mussini Cristina, Borghi Vanni, Celesia Benedetto Maurizio, Madeddu Giordano, Di Biagio Antonio, Ripamonti Diego, Squillace Nicola, Antinori Andrea, Gori Andrea, Capobianchi Maria Rosaria, Bandera Alessandra
Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico - Milan, Milan, Lombardia, Italy
Virology and Biosafety Laboratories Unit and HIV/AIDS Clinical Unit, National Institute for Infectious Diseases, "Lazzaro Spallanzani"- IRCCS Rome, Rome, Italy.
Sex Transm Infect. 2023 Feb;99(1):53-56. doi: 10.1136/sextrans-2021-055289. Epub 2022 Apr 20.
Using 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.
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.
The PHI cohort comprised 186 participants (159/186, 85.5% males) with median age 44 years, median CD4 count 464 cells/mm and median plasma HIV-1 RNA 5.6 log 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).
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.
利用常规耐药性检测获得的序列,我们对2008年至2014年期间在意大利11个城市中心出现原发性HIV-1感染(PHI)的个体中HIV-1传播的分子模式以及与成为传播簇一部分相关的因素进行了特征分析。
通过桑格测序获得序列。通过系统发育分析(最大似然法,经贝叶斯分析确认)识别传播簇。多变量逻辑回归探讨了与参与者成为传播簇一部分相关的因素。
PHI队列包括186名参与者(159/186,85.5%为男性),中位年龄44岁,中位CD4细胞计数464个/立方毫米,中位血浆HIV-1 RNA为5.6 log拷贝/毫升。在16/186(8.6%)的参与者中发现了耐药相关突变。多种非B亚型占所有感染的60/186(32.3%)。共识别出17个传播簇,包括44/186(23.7%)名参与者。每个簇包含2至6个序列。非B亚型占7个簇以及聚类序列的22/44(50%)。在多变量逻辑回归分析中,与成为传播簇一部分相关的因素包括携带非B亚型(调整后的比值比(adjOR)为2.28;95%置信区间为1.03至5.05;p = 0.04)以及血浆HIV-1 RNA水平较低(adjOR为0.80,95%置信区间为0.64至0.99;p = 0.04)。
在该队列中,多种非B亚型对急性或近期HIV-1感染患者的传播簇有很大贡献,这说明了在意大利HIV-1流行的动态变化,此前B亚型占主导地位。