| Literature DB >> 30869017 |
S Bianchi1, E R Frati1, A Lai2, D Colzani1, G Ciceri1, M Baggieri3, A Lamberti4, S Senatore4, M Faccini4, F Mazzilli3, M Gramegna5, G Zehender2, F Magurano3, E Tanzi1, A Amendola1.
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.Entities:
Keywords: Measles (rubeola); Surveillance; autochthonous and imported variants; virus transmission pathways
Mesh:
Year: 2019 PMID: 30869017 PMCID: PMC6518568 DOI: 10.1017/S0950268818003606
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 2.451
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.
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.