Department of Medicine, University of California, San Diego, CA, USA; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
Division of HIV and STD Programs, Department of Public Health, Los Angeles, CA, USA.
Lancet HIV. 2019 Mar;6(3):e164-e172. doi: 10.1016/S2352-3018(18)30359-X. Epub 2019 Feb 11.
Transgender women are among the groups at highest risk for HIV infection, with a prevalence of 27·7% in the USA; and despite this known high risk, undiagnosed infection is common in this population. We set out to identify transgender women and their partners in a molecular transmission network to prioritise public health activities.
Since 2006, HIV protease and reverse transcriptase gene (pol) sequences from drug resistance testing have been reported to the Los Angeles County Department of Public Health and linked to demographic data, gender, and HIV transmission risk factor data for each case in the enhanced HIV/AIDS Reporting System. We reconstructed a molecular transmission network by use of HIV-TRAnsmission Cluster Engine (with a pairwise genetic distance threshold of 0·015 substitutions per site) from the earliest pol sequences from 22 398 unique individuals, including 412 (2%) self-identified transgender women. We examined the possible predictors of clustering with multivariate logistic regression. We characterised the genetically linked partners of transgender women and calculated assortativity (the tendency for people to link to other people with the same attributes) for each transmission risk group.
8133 (36·3%) of 22 398 individuals clustered in the network across 1722 molecular transmission clusters. Transgender women who indicated a sexual risk factor clustered at the highest frequency in the network, with 147 (43%) of 345 being linked to at least one other person (adjusted odds ratio [aOR] 2·0, p=0·0002). Transgender women were assortative in the network (assortativity 0·06, p<0·001), indicating that they tended to link to other transgender women. Transgender women were more likely than expected to link to other transgender women (OR 4·65, p<0·001) and cisgender men who did not identify as men who have sex with men (MSM; OR 1·53, p<0·001). Transgender women were less likely than expected to link to MSM (OR 0·75, p<0·001), despite the high prevalence of HIV among MSM. Transgender women were distributed across 126 clusters, and cisgender individuals linked to one transgender woman were 9·2 times more likely to link to a second transgender woman than other individuals in the surveillance database. Reconstruction of the transmission network is limited by sample availability, but sequences were available for more than 40% of diagnoses.
Clustering of transgender women and the observed tendency for linkage with cisgender men who did not identify as MSM, shows the potential to use molecular epidemiology both to identify clusters that are likely to include undiagnosed transgender women with HIV and to improve the targeting of public health prevention and treatment services to transgender women.
California HIV and AIDS Research Program and National Institutes of Health-National Institute of Allergy and Infectious Diseases.
跨性别女性是感染艾滋病毒风险最高的群体之一,美国的感染率为 27.7%;尽管风险如此之高,但该人群中仍普遍存在未确诊的感染。我们的目的是确定美国洛杉矶县的跨性别女性及其伴侣在分子传播网络中的身份,以便为优先开展公共卫生活动提供依据。
自 2006 年以来,抗药性检测的 HIV 蛋白酶和逆转录酶基因(pol)序列已向洛杉矶县公共卫生部报告,并与每个病例在强化艾滋病毒/艾滋病报告系统中的人口统计学数据、性别和 HIV 传播风险因素数据相关联。我们利用 HIV-TRAnsmission Cluster Engine(遗传距离阈值为 0.015 个取代/位),从 22398 名独特个体的最早 pol 序列中重建了一个分子传播网络,包括 412 名(2%)自我认定的跨性别女性。我们使用多变量逻辑回归来研究聚类的可能预测因素。我们描述了跨性别女性的遗传关联伴侣,并为每个传播风险组计算了关联性(人们与具有相同属性的其他人联系的趋势)。
在 1722 个分子传播簇中,22398 名个体中有 8133 名(36.3%)个体在网络中聚类。在网络中,有性风险因素的跨性别女性聚类频率最高,其中 147 名(43%)与至少一名其他人有联系(校正比值比[OR]2.0,p=0.0002)。跨性别女性在网络中具有关联性(关联性 0.06,p<0.001),这表明她们倾向于与其他跨性别女性联系。跨性别女性与其他跨性别女性联系的可能性高于预期(OR 4.65,p<0.001),与非男男性接触者(MSM)的顺性别男性联系的可能性也高于预期(OR 1.53,p<0.001)。跨性别女性与 MSM 联系的可能性低于预期(OR 0.75,p<0.001),尽管 MSM 中艾滋病毒的流行率很高。跨性别女性分布在 126 个簇中,与一名跨性别女性有联系的顺性别个体与监测数据库中的其他个体相比,与第二名跨性别女性联系的可能性高 9.2 倍。传播网络的重建受到样本可用性的限制,但超过 40%的诊断都有序列。
跨性别女性的聚类以及与非 MSM 顺性别男性的观察到的关联倾向表明,分子流行病学既可以用来识别可能包括未确诊的 HIV 跨性别女性的未确诊集群,也可以改善针对跨性别女性的公共卫生预防和治疗服务的针对性。
加州艾滋病毒和艾滋病研究计划以及美国国立卫生研究院-国家过敏和传染病研究所。