Investigating Local Patterns of Mumps Virus Circulation, Using a Combination of Molecular Tools

Mumps is a vaccine-preventable disease caused by the mumps virus (MuV). However, MuV has re-emerged in many countries with high vaccine coverage. The World Health Organization (WHO) recommends molecular surveillance based on sequencing of the small hydrophobic (SH) gene. Additionally, the combined u...

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Detalhes bibliográficos
Autores: Gavilán, Ana M, Perán-Ramos, Paula, Sanz, Juan Carlos, García-Comas, Luis, Pérez-Abeledo, Marta, Castellanos-Nadal, Ana Maria, Berciano, Jose Miguel, Lopez-Perea, Noemi, Masa-Calles, Josefa, Echevarria, Juan Emilio, Fernandez-Garcia, Aurora
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/17179
Acesso em linha:http://hdl.handle.net/20.500.12105/17179
Access Level:acceso abierto
Palavra-chave:Mumps virus
Mumps
Humans
Phylogeny
Disease Outbreaks
Genotype
Descrição
Resumo:Mumps is a vaccine-preventable disease caused by the mumps virus (MuV). However, MuV has re-emerged in many countries with high vaccine coverage. The World Health Organization (WHO) recommends molecular surveillance based on sequencing of the small hydrophobic (SH) gene. Additionally, the combined use of SH and non-coding regions (NCR) has been described in different studies, proving to be a useful complement marker to discriminate general patterns of circulation at national and international levels. The aim of this work is to test local-level usefulness of the combination of SH and MF-NCR sequencing in tracing hidden transmission clusters and chains during the last epidemic wave (2015-2020) in Spain. A database with 903 cases from the Autonomous Community of Madrid was generated by the integration of microbiological and epidemiological data. Of these, 453 representative cases were genotyped. Eight different SH variants and thirty-four SH haplotypes were detected. Local MuV circulation showed the same temporal pattern previously described at a national level. Only two of the thirteen previously identified outbreaks were caused by more than one variant/haplotype. Geographical representation of SH variants allowed the identification of several previously undetected clusters, which were analysed phylogenetically by the combination of SH and MF-NCR, in a total of 90 cases. MF-NCR was not able to improve the discrimination of geographical clusters based on SH sequencing, showing limited resolution for outbreak investigations.