Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 115 27, Athens, Greece.
Institute of Infection and Global Health, University of Liverpool, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK.
BMC Med. 2019 Jan 8;17(1):4. doi: 10.1186/s12916-018-1241-1.
Knowledge of HIV-1 molecular transmission clusters (MTCs) is important, especially in large-scale datasets, for designing prevention programmes and public health intervention strategies. We used a large-scale HIV-1 sequence dataset from nine European HIV cohorts and one Canadian, to identify MTCs and investigate factors associated with the probability of belonging to MTCs.
To identify MTCs, we applied maximum likelihood inferences on partial pol sequences from 8955 HIV-positive individuals linked to demographic and clinical data. MTCs were defined using two different criteria: clusters with bootstrap support >75% (phylogenetic confidence criterion) and clusters consisting of sequences from a specific region at a proportion of >75% (geographic criterion) compared to the total number of sequences within the network. Multivariable logistic regression analysis was used to assess factors associated with MTC clustering.
Although 3700 (41%) sequences belonged to MTCs, proportions differed substantially by country and subtype, ranging from 7% among UK subtype C sequences to 63% among German subtype B sequences. The probability of belonging to an MTC was independently less likely for women than men (OR = 0.66; P < 0.001), older individuals (OR = 0.79 per 10-year increase in age; P < 0.001) and people of non-white ethnicity (OR = 0.44; P < 0.001 and OR = 0.70; P = 0.002 for black and 'other' versus white, respectively). It was also more likely among men who have sex with men (MSM) than other risk groups (OR = 0.62; P < 0.001 and OR = 0.69; P = 0.002 for people who inject drugs, and sex between men and women, respectively), subtype B (ORs 0.36-0.70 for A, C, CRF01 and CRF02 versus B; all P < 0.05), having a well-estimated date of seroconversion (OR = 1.44; P < 0.001), a later calendar year of sampling (ORs 2.01-2.61 for all post-2002 periods versus pre-2002; all P < 0.01), and being naïve to antiretroviral therapy at sampling (OR = 1.19; P = 0.010).
A high proportion (>40%) of individuals belonged to MTCs. Notably, the HIV epidemic dispersal appears to be driven by subtype B viruses spread within MSM networks. Expansion of regional epidemics seems mainly associated with recent MTCs, rather than the growth of older, established ones. This information is important for designing prevention and public health intervention strategies.
了解 HIV-1 分子传播群集(MTCs)非常重要,尤其是在大规模数据集,对于设计预防方案和公共卫生干预策略。我们使用来自九个欧洲 HIV 队列和一个加拿大队列的大规模 HIV-1 序列数据集,来确定 MTCs,并研究与 MTC 归属概率相关的因素。
为了确定 MTCs,我们对与人口统计学和临床数据相关联的 8955 名 HIV 阳性个体的部分 pol 序列应用最大似然推断。使用两种不同的标准定义 MTCs:bootstrap 支持>75%的簇(系统发育置信度标准)和由特定区域的序列组成的簇,比例>75%(与网络中序列总数相比)。多变量逻辑回归分析用于评估与 MTC 聚类相关的因素。
尽管 3700 个(41%)序列属于 MTCs,但比例因国家和亚型而异,从英国 C 亚型的 7%到德国 B 亚型的 63%不等。与男性相比,女性属于 MTC 的可能性更小(OR=0.66;P<0.001),年龄较大(每增加 10 岁的 OR=0.79;P<0.001)和非白人种族(OR=0.44;P<0.001 和 OR=0.70;P=0.002,黑人和“其他”种族与白人种族相比)。男男性行为者(MSM)中也更常见,而其他风险群体则较少(与注射毒品者相比,OR=0.62;P<0.001 和与男性与女性之间的性行为相比,OR=0.69;P=0.002),B 亚型(与 A、C、CRF01 和 CRF02 相比,ORs 为 0.36-0.70;所有 P<0.05),有较好的血清转换日期估计(OR=1.44;P<0.001),采样的日历年份较晚(所有 2002 年后的时期与 2002 年前相比,ORs 为 2.01-2.61;所有 P<0.01),以及采样时未接受抗逆转录病毒治疗(OR=1.19;P=0.010)。
很大比例(>40%)的个体属于 MTCs。值得注意的是,HIV 流行的传播似乎是由 MSM 网络中传播的 B 亚型病毒驱动的。区域性流行的扩大似乎主要与最近的 MTC 有关,而不是与较旧的、已建立的 MTC 有关。这些信息对于设计预防和公共卫生干预策略非常重要。