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Genetic characterisation of Measles virus variants identified during a large epidemic in Milan, Italy, March–December 2017

Published online by Cambridge University Press:  30 January 2019

S. Bianchi*
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
E.R. Frati
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
A. Lai
Affiliation:
Department of Biomedical and Clinical Sciences ‘Luigi Sacco’, University of Milan, Milan, Italy
D. Colzani
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
G. Ciceri
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
M. Baggieri
Affiliation:
National Reference Laboratory for Measles and Rubella, Istituto Superiore di Sanità (ISS), Rome, Italy
A. Lamberti
Affiliation:
Health Protection Agency, Metropolitan Area of Milan, Milan, Italy
S. Senatore
Affiliation:
Health Protection Agency, Metropolitan Area of Milan, Milan, Italy DG Salute, UO Governo della prevenzione e tutela sanitaria, Lombardy Region, Milan, Italy
M. Faccini
Affiliation:
Health Protection Agency, Metropolitan Area of Milan, Milan, Italy
F. Mazzilli
Affiliation:
National Reference Laboratory for Measles and Rubella, Istituto Superiore di Sanità (ISS), Rome, Italy
M. Gramegna
Affiliation:
DG Salute, UO Governo della prevenzione e tutela sanitaria, Lombardy Region, Milan, Italy
G. Zehender
Affiliation:
Department of Biomedical and Clinical Sciences ‘Luigi Sacco’, University of Milan, Milan, Italy Coordinated Research Center ‘EpiSoMI’, University of Milan, Milan, Italy
F. Magurano
Affiliation:
National Reference Laboratory for Measles and Rubella, Istituto Superiore di Sanità (ISS), Rome, Italy
E. Tanzi
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy Coordinated Research Center ‘EpiSoMI’, University of Milan, Milan, Italy
A. Amendola
Affiliation:
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy Coordinated Research Center ‘EpiSoMI’, University of Milan, Milan, Italy
*
Author for correspondence: Silvia Bianchi, E-mail: silvia.bainchi@unimi.it
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Abstract

In 2017, Italy experienced a large measles epidemic with 5408 cases and four deaths. As Subnational Reference Laboratory of the Measles and Rubella surveillance NETwork (MoRoNET), the EpiSoMI (Epidemiology and Molecular Surveillance of Infections) Laboratory (University of Milan) set up rapid and active surveillance for the complete characterisation of the Measles virus (Mv) responsible for the large measles outbreak in Milan and surrounding areas (Lombardy, Northern Italy). The aims of this study were to describe the genetic profile of circulating viruses and to track the pathway of measles transmission. Molecular analysis was performed by sequencing the highly variable 450 nucleotides region of the N gene (N-450) of Mv genome. Two-hundred and ninety-nine strains of Mv were analysed. The phylogenetic analysis showed five different variants, two not previously described in the studied area, belonging to D8 and B3 genotypes. Three events of continuous transmission of autochthonous variants (D8-Osaka, D8-London and B3-Milan variants) and two events of continuous transmission of imported variants (B3-Dublin and D8-Hulu Langat) tracked five different transmission pathways. These pathways outlined two epidemic peaks: the first in April and the second in July 2017. The correlation between Mv variant and the epidemiological data may enable us to identify the sources of virus importation and recognise long-lasting virus transmission pathways.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2019
Figure 0

Fig. 1. Phylogenetic analysis of the Mv-sequences identified in Lombardy during 2017. The evolutionary history of 299 N-450 Italian sequences was inferred with MrBayes software using the Bayesian Markov chain Monte Carlo (MCMC) method and Hasegawa–Kishino–Yano (HKY) model. Posterior probabilities of clades are indicated next to the nodes. The WHO named strains related to Italian sequences are coloured (red for B3, blue for D8). Genotypes and novel variant are indicated by squared parenthesis. All sequences presenting 100% identity and obtained from the same city or geographical area were considered as one single sequence which report in the label the number of total strains.

Figure 1

Fig. 2. Epidemic curves of five different pathways of transmission sustained by five different variants from March to December 2017, in the surrounding areas and in the city of Milan.