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利用2018 - 2020年加拿大监测数据开展消除麻疹后分子流行病学研究的基因组学工具

Genomic tools for post-elimination measles molecular epidemiology using Canadian surveillance data from 2018-2020.

作者信息

Hiebert Joanne, Zubach Vanessa, Schulz Helene, Severini Alberto

机构信息

Measles, Mumps and Rubella Unit, National Microbiology Laboratory Branch, Public Health Agency of Canada, JC Wilt Infectious Diseases Research Centre, Winnipeg, MB, Canada.

Department of Medical Microbiology and Infectious Diseases, Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.

出版信息

Front Microbiol. 2024 Nov 19;15:1475144. doi: 10.3389/fmicb.2024.1475144. eCollection 2024.

Abstract

INTRODUCTION

Measles is caused by the highly infectious measles virus, MeV, for which there is an effective vaccine. Monitoring of progress of measles elimination requires enhanced surveillance and tracking of MeV strains, including documenting the absence of an endemically circulating strain. Due to a reduction in the number of circulating genotypes, additional sequence information, beyond the standardized 450 nucleotide window of the nucleoprotein (N450), is required to corroborate the information from epidemiological investigations and, ideally, fill in gaps in the surveillance data.

METHODS

This study applies MeV sequencing tools, namely the N450, the non-coding region between the matrix and fusion genes (MF-NCR), and the complete coding sequence of the genome (WGS-t), to clinical specimens obtained from cases occurring over a three-year time period in Canada. This data was systematically analyzed, including with Bayesian evolutionary analysis by sampling trees (BEAST) of the WGS-t.

RESULTS AND DISCUSSION

Of the 143 reported cases, N450, MF-NCR, and WGS-t sequences were obtained from 101, 81, and 75 cases, respectively. The BEAST analysis confirmed that the two most frequently detected lineages (B3 named strain MVi/Marikina City.PHL/10.18 and D8 named strain MVs/Gir Somnath.IND/42.16) were the result of repeated importations. Of the 16 outbreaks occurring during the study period, the analysis conclusively corroborated the epidemiological information for 13. BEAST analysis of the WGS-t convincingly demonstrated the expansion of two outbreaks by the inclusion of additional contemporary cases for which the epidemiological investigation had been unable to identify links. Furthermore, the analysis revealed the existence of three additional unrecognized outbreaks among the cases categorized as unknown source. One outbreak was without WGS-t and could not be resolved.

CONCLUSION

Measles WGS-t data corroborated and expanded upon the outbreak analysis from traditional epidemiological investigations of measles outbreaks. However, both are needed for fulsome investigations in elimination settings.

摘要

引言

麻疹由具有高度传染性的麻疹病毒(MeV)引起,针对该病毒有有效的疫苗。监测麻疹消除进展需要加强对MeV毒株的监测和追踪,包括记录是否存在地方性流行毒株。由于流行基因型数量减少,除了核蛋白标准化的450个核苷酸窗口(N450)之外,还需要额外的序列信息来证实流行病学调查的信息,并理想地填补监测数据中的空白。

方法

本研究将MeV测序工具,即N450、基质基因与融合基因之间的非编码区(MF-NCR)以及基因组的完整编码序列(全基因组测序-t,WGS-t),应用于从加拿大三年内发生的病例中获取的临床标本。对这些数据进行了系统分析,包括使用全基因组测序-t的抽样树贝叶斯进化分析(BEAST)。

结果与讨论

在143例报告病例中,分别从101例、81例和75例中获得了N450、MF-NCR和全基因组测序-t序列。BEAST分析证实,两个最常检测到的谱系(命名为MVi/马里基纳市.PHL/10.18的B3毒株和命名为MVs/吉尔索姆纳特.IND/42.16的D8毒株)是多次输入的结果。在研究期间发生的16起疫情中,该分析最终证实了13起疫情的流行病学信息。对全基因组测序-t的BEAST分析令人信服地表明,通过纳入流行病学调查未能确定关联的其他当代病例,有两起疫情得到了扩展。此外,分析还揭示了在归类为不明来源的病例中存在另外三起未被识别的疫情。有一起疫情没有全基因组测序-t数据,无法得到解决。

结论

麻疹全基因组测序-t数据证实并扩展了麻疹疫情传统流行病学调查的疫情分析。然而,在消除麻疹的环境中进行全面调查,两者都是必需的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fded/11611582/38dbd4bad577/fmicb-15-1475144-g001.jpg

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