| Literature DB >> 35299101 |
Acuña Dolores1, Goya Stephanie2, Nabaes Jodar Mercedes S2, Grandis Érica2, Alicia S Mistchenko3, Viegas Mariana4.
Abstract
INTRODUCTION: The community mitigation measures taken because of the COVID-19 pandemic had side effects on the circulation of the most frequent respiratory viruses during 2020. In the case of respiratory syncytial virus (RSV), an important paediatric pathogen, a decrease in the number of cases and delayed outbreaks was previously described. AIM AND METHODS: The genetic characteristics of the RSV circulating strains in paediatric patients in Buenos Aires, Argentina before and during the COVID-19 pandemic were studied. RSV (+) samples taken from hospitalised patients with respiratory tract infections (2018- 2021) were analysed through G gene sequencing and evolutionary analyses.Entities:
Keywords: COVID-19 pandemic; Genetic lineages; Molecular epidemiology; Respiratory syncytial virus
Mesh:
Year: 2022 PMID: 35299101 PMCID: PMC8906024 DOI: 10.1016/j.jcv.2022.105126
Source DB: PubMed Journal: J Clin Virol ISSN: 1386-6532 Impact factor: 14.481
Fig. 1Seasonality of the RSV outbreaks between 2018 and 2021 at the Ricardo Gutiérrez Children's Hospital, Buenos Aires, Argentina. Only hospitalised cases were considered.
RSV Epidemiology. The total number of hospitalised paediatric patients per year and age distribution in months are detailed.
| Year | Total No. of hospitalised patients due to RSV | Age group (months) | No. of cases by age (%) |
|---|---|---|---|
| 2018 | 253 | 0 to 6 | 103 (40.70%) |
| 6 to 12 | 86 (34%) | ||
| 12 to 24 | 36 (14.23%) | ||
| >24 | 28 (11.07%) | ||
| 2019 | 215 | 0 to 6 | 76 (35.35%) |
| 6 to 12 | 58 (26.98%) | ||
| 12 to 24 | 42 (19.53%) | ||
| >24 | 39 (18.14%) | ||
| 2021 | 116 | 0 to 6 | 41 (34.34%) |
| 6 to 12 | 37 (31.90%) | ||
| 12 to 24 | 13 (11.21%) | ||
| >24 | 25 (21.55%) |
G-gene sequences analyses. The subgroup and genetic lineages were obtained from the genotyping analyses. The classification of genetic lineages was established according to Goya et al. (3).
| Year | No. of hospitalised cases due to RSV | Subgroup | Sequences per subgroup per year (%) | Genetic lineage | No. of G-gene sequences | Cases sequenced per total RSV-positive cases (%) |
|---|---|---|---|---|---|---|
| 2018 | 253 | A | 21.05 | GA2.3.5 | 10 | 22.53 |
| GA2.3.6b | 2 | |||||
| B | 78.95 | GB5.0.5a | 45 | |||
| 2019 | 215 | A | 84.10 | GA2.3.5 | 21 | 20.46 |
| GA2.3.6b | 16 | |||||
| B | 15.90 | GB5.0.5a | 7 | |||
| 2021 | 116 | A | 28.26 | GA2.3.5 | 5 | 39.65 |
| GA2.3.6b | 8 | |||||
| B | 71.74 | GB5.0.5a | 33 |
Fig. 2Maximum Likelihood phylogenetic analysis of RSV-A. Argentine sequences from 2018 to 2021 were analysed with sequences from the same period downloaded from GISAID and GenBank databases. Argentine sequences are highlighted in colours according to the year. The genotypes are indicated on the right. The model established by IQTREE was GTR + F + G4. Nodes supports: SH-aLRT support (%)/ultrafast bootstrap support (%) (1000 replicates each). Only supports over 70/70 are shown.
Fig. 3Maximum Likelihood phylogenetic analysis of RSV-B. Argentine sequences from 2018 to 2021 were analysed with sequences from the same period downloaded from GISAID and GenBank databases. Argentine sequences are highlighted in colours according to the year. The genotypes are indicated on the right. The model established by IQTREE was TIM3 + F + G4. Nodes supports: SH-aLRT support (%)/ultrafast bootstrap support (%) (1000 replicates each). Only supports over 70/70 are shown.