Details

Autor(en) / Beteiligte

• Sáez-López, Emma
• Cristóvão, Paula
• Costa, Inês
• Pechirra, Pedro
• Conde, Patrícia
• Guiomar, Raquel
• Peres, Maria João
• Viseu, Regina
• Lopes, Paulo
• Soares, Vânia
• Vale, Fátima
• Fonseca, Patricia
• Freitas, Ludivina
• Alves, Jose
• Pessanha, Maria Ana
• Toscano, Cristina
• Mota-Vieira, Luísa
• Veloso, Rita Cabral
• Côrte-Real, Rita
• Branquinho, Paula
• Pereira‑Vaz, João
• Rodrigues, Fernando
• Cunha, Mário
• Martins, Luís
• Mota, Paula
• Couto, Ana Rita
• Bruges-Armas, Jácome
• Almeida, Sofia
• Rodrigues, Débora

Titel

Epidemiology and genetic variability of respiratory syncytial virus in Portugal, 2014–2018

Ist Teil von

• Journal of clinical virology, 2019-12, Vol.121, p.104200-104200, Article 104200

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •RSV strains from Portugal were characterized from 2014 to 2018.•Sequence analyses reflected a high genetic diversity among Portuguese RSV strains.•RSV-A and RSV-B strains clustered mainly to ON1 and BA9 genotypes, respectively. Respiratory syncytial virus (RSV) is associated with substantial morbidity and mortality since it is a predominant viral agent causing respiratory tract infections in infants, young children and the elderly. Considering the availability of the RSV vaccines in the coming years, molecular understanding in RSV is necessary. The objective of the present study was to describe RSV epidemiology and genotype variability in Portugal during the 2014/15-2017/18 period. Epidemiological data and RSV-positive samples from patients with a respiratory infection were collected through the non-sentinel and sentinel influenza surveillance system (ISS). RSV detection, subtyping in A and B, and sequencing of the second hypervariable region (HVR2) of G gene were performed by molecular methods. Phylogenetic trees were generated using the Neighbor-Joining method and p-distance model on MEGA 7.0. RSV prevalence varied between the sentinel (2.5%, 97/3891) and the non-sentinel ISS (20.7%, 3138/16779), being higher (P < 0.0001) among children aged <5 years. Bronchiolitis (62.9%, 183/291) and influenza-like illness (24.6%, 14/57) were associated (P < 0.0001) with RSV laboratory confirmation among children aged <6 months and adults ≥65 years, respectively. The HVR2 was sequenced for 562 samples. RSV-A (46.4%, 261/562) and RSV-B (53.6%, 301/562) strains clustered mainly to ON1 (89.2%, 233/261) and BA9 (92%, 277/301) genotypes, respectively, although NA1 and BA10 were also present until 2015/2016. The sequence and phylogenetic analysis reflected the relatively high diversity of Portuguese RSV strains. BA9 and ON1 genotypes, which have been circulating in Portugal since 2010/2011 and 2011/2012 respectively, predominated during the whole study period.