Temporal trends in gonococcal population genetics in a high prevalence urban community.
Temporal trends in gonococcal population genetics in a high prevalence urban community.
复制标题
高患病率城市社区淋球菌群体遗传学的时间趋势。
DOI：
10.1016/j.meegid.2006.11.003
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Viscidi,RaphaelP
中科院分区：
文献类型：
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作者：
Pérez-Losada,Marcos;Crandall,KeithA;Zenilman,Jonathan;Viscidi,RaphaelP
分子进化研究可以为传染病的传播提供见解，并为感染控制措施提供信息。我们在淋病高度流行的马里兰州巴尔的摩对15年内获得的淋球菌分离株进行了群体遗传学分析。遗传分化的分类分析揭示了淋球菌种群的时间结构。使用一种新方法根据序列数据确定淋病奈瑟菌的历史人口统计学，显示出与报告的淋病奈瑟菌病例数趋势的强相关性。淋病历史趋势也可能反映了社会和人口因素的影响，以及抗生素耐药性对巴尔的摩过去20年淋病分子流行病学的影响。在过去的20年中，人口的遗传推断和人口统计数据收集在同一时间段之间的强相关性表明，这些方法的实用性复杂的人口动态的准确推断使用多位点序列数据。群体遗传分析的真实的实时应用可以提供淋球菌流行、抗生素耐药模式和淋球菌感染流行病学变化的前哨数据。
Molecular evolutionary studies can provide insights into the spread of infectious diseases and inform infection control measures. We performed a population genetic analysis of gonococcal isolates obtained over a 15-year interval in Baltimore, MD, where gonorrhea is highly prevalent. Categorical analysis of genetic differentiation revealed temporal structuring of the gonococcal population. The use of a new method to determine the historical demography of Neisseria gonorrhoeae from sequence data showed a strong correlation with trends in the number of reported cases of N. gonorrhoeae. The historical trends may also reflect the influence of social and demographic factors and the impact of antimicrobial resistance on the molecular epidemiology of gonorrhea in Baltimore over the past 2 decades. The strong correlation between the population genetic inferences over the last 20 years and the demographic data collected over the same time period demonstrates the utility of these approaches for the accurate inference of complex population dynamics using multilocus sequence data. The real time application of population genetic analysis can provide sentinel data on gonococcal prevalence, antibiotic resistance patterns and changing epidemiology of gonococcal infections.