Didelot Xavier, Dordel Janina, Whittles Lilith K, Collins Caitlin, Bilek Nicole, Bishop Cynthia J, White Peter J, Aanensen David M, Parkhill Julian, Bentley Stephen D, Spratt Brian G, Harris Simon R
Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom Department of Biology, Drexel University, Philadelphia, Pennsylvania, USA.
mBio. 2016 Jun 28;7(3):e00525-16. doi: 10.1128/mBio.00525-16.
Gonorrhea is a sexually transmitted disease causing growing concern, with a substantial increase in reported incidence over the past few years in the United Kingdom and rising levels of resistance to a wide range of antibiotics. Understanding its epidemiology is therefore of major biomedical importance, not only on a population scale but also at the level of direct transmission. However, the molecular typing techniques traditionally used for gonorrhea infections do not provide sufficient resolution to investigate such fine-scale patterns. Here we sequenced the genomes of 237 isolates from two local collections of isolates from Sheffield and London, each of which was resolved into a single type using traditional methods. The two data sets were selected to have different epidemiological properties: the Sheffield data were collected over 6 years from a predominantly heterosexual population, whereas the London data were gathered within half a year and strongly associated with men who have sex with men. Based on contact tracing information between individuals in Sheffield, we found that transmission is associated with a median time to most recent common ancestor of 3.4 months, with an upper bound of 8 months, which we used as a criterion to identify likely transmission links in both data sets. In London, we found that transmission happened predominantly between individuals of similar age, sexual orientation, and location and also with the same HIV serostatus, which may reflect serosorting and associated risk behaviors. Comparison of the two data sets suggests that the London epidemic involved about ten times more cases than the Sheffield outbreak.
The recent increases in gonorrhea incidence and antibiotic resistance are cause for public health concern. Successful intervention requires a better understanding of transmission patterns, which is not uncovered by traditional molecular epidemiology techniques. Here we studied two outbreaks that took place in Sheffield and London, United Kingdom. We show that whole-genome sequencing provides the resolution to investigate direct gonorrhea transmission between infected individuals. Combining genome sequencing with rich epidemiological information about infected individuals reveals the importance of several transmission routes and risk factors, which can be used to design better control measures.
淋病是一种引起越来越多关注的性传播疾病,在过去几年中,英国报告的发病率大幅上升,对多种抗生素的耐药水平也在上升。因此,了解其流行病学不仅在人群层面而且在直接传播层面都具有重大的生物医学重要性。然而,传统上用于淋病感染的分子分型技术无法提供足够的分辨率来研究此类精细规模的模式。在此,我们对来自谢菲尔德和伦敦的两个本地分离株集合中的237个分离株进行了基因组测序,每个分离株使用传统方法都被归为单一类型。选择这两个数据集具有不同的流行病学特征:谢菲尔德的数据是在6年时间里从主要为异性恋人群中收集的,而伦敦的数据是在半年内收集的,并且与男男性行为者密切相关。基于谢菲尔德个体之间的接触追踪信息,我们发现传播与最近共同祖先的中位时间为3.4个月相关,上限为8个月,我们将其用作识别两个数据集中可能传播联系的标准。在伦敦,我们发现传播主要发生在年龄、性取向、位置相似且HIV血清学状态相同的个体之间,这可能反映了血清分选和相关的风险行为。两个数据集的比较表明,伦敦的疫情涉及的病例数比谢菲尔德的疫情多约十倍。
近期淋病发病率和抗生素耐药性的上升引发了公共卫生关注。成功的干预需要更好地了解传播模式,而传统分子流行病学技术无法揭示这些模式。在此,我们研究了在英国谢菲尔德和伦敦发生的两起疫情。我们表明,全基因组测序提供了分辨率来研究感染个体之间的直接淋病传播。将基因组测序与关于感染个体的丰富流行病学信息相结合,揭示了几种传播途径和风险因素的重要性,可用于设计更好的控制措施。