Institute of Virology, University of Bonn Medical Centre, Bonn, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Institute of Virology, Germany.
Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil.
Clin Microbiol Infect. 2018 Sep;24(9):1019.e1-1019.e4. doi: 10.1016/j.cmi.2018.01.026. Epub 2018 Feb 7.
Since December 2016, Brazil has experienced an unusually large outbreak of yellow fever (YF). Whether urban transmission may contribute to the extent of the outbreak is unclear. The objective of this study was to characterize YF virus (YFV) genomes and to identify spatial patterns to determine the distribution and origin of YF cases in Minas Gerais, Espírito Santo and Rio de Janeiro, the most affected Brazilian states during the current YFV outbreak.
We characterized near-complete YFV genomes from 14 human cases and two nonhuman primates (NHP), sampled from February to April 2017, retrieved epidemiologic data of cases and used a geographic information system to investigate the geospatial spread of YFV.
All YFV strains were closely related. On the basis of signature mutations, we identified two cocirculating YFV clusters. One was restricted to the hinterland of Espírito Santo state, and another formed a coastal cluster encompassing several hundred kilometers. Both clusters comprised strains from humans living in rural areas and NHP. Another NHP lineage clustered in a basal relationship. No signs of adaptation of YFV strains to human hosts were detected.
Our data suggest sylvatic transmission during the current outbreak. Additionally, cocirculation of two distinct YFV clades occurring in humans and NHP suggests the existence of multiple sylvatic transmission cycles. Increased detection of YFV might be facilitated by raised awareness for arbovirus-mediated disease after Zika and chikungunya virus outbreaks. Further surveillance is required, as reemergence of YFV from NHPs might continue and facilitate the appearance of urban transmission cycles.
自 2016 年 12 月以来,巴西爆发了异常大规模的黄热病(YF)疫情。城市传播是否会导致疫情如此严重尚不清楚。本研究的目的是对黄病毒(YFV)基因组进行特征分析,并确定空间模式,以确定在巴西当前黄热病疫情中受影响最严重的米纳斯吉拉斯州、圣埃斯皮里图州和里约热内卢州的 YF 病例的分布和来源。
我们对 2017 年 2 月至 4 月间采集的 14 例人类病例和 2 例非人类灵长类动物(NHP)的近完整 YFV 基因组进行了特征分析,检索了病例的流行病学数据,并使用地理信息系统调查了 YFV 的地理空间传播。
所有 YFV 株均密切相关。基于特征性突变,我们确定了两种同时传播的 YFV 群。一个局限于圣埃斯皮里图州内陆,另一个则形成了一个沿海群,涵盖了数百公里的范围。这两个群都包含了生活在农村地区的人类和 NHP 中的菌株。另一个 NHP 谱系呈基础关系聚类。未发现 YFV 株适应人类宿主的迹象。
我们的数据表明,当前疫情中存在丛林传播。此外,人类和 NHP 中两种不同的 YFV 群同时存在,表明存在多个丛林传播循环。寨卡病毒和基孔肯雅病毒疫情爆发后,人们对虫媒病毒介导的疾病的认识提高,可能会促进 YFV 的检测增加。需要进一步监测,因为 NHP 中 YFV 的再次出现可能会继续,并促进城市传播循环的出现。