Author:
Liu Pengcheng,Cai Jiehao,Tian He,Li Jingjing,Lu Lijuan,Xu Menghua,Zhu Xunhua,Fu Xiaomin,Wang Xiangshi,Zhong Huaqing,Jia Ran,Ge Yanling,Zhu Yanfeng,Zeng Mei,Xu Jin
Abstract
IntroductionAn unprecedented surge of Omicron infections appeared nationwide in China in December 2022 after the adjustment of the COVID-19 response policy. Here, we report the clinical and genomic characteristics of SARS-CoV-2 infections among children in Shanghai during this outbreak.MethodsA total of 64 children with symptomatic COVID-19 were enrolled. SARS-CoV-2 whole genome sequences were obtained using next-generation sequencing (NGS) technology. Patient demographics and clinical characteristics were compared between variants. Phylogenetic tree, mutation spectrum, and the impact of unique mutations on SARS-CoV-2 proteins were analysed in silico.ResultsThe genomic monitoring revealed that the emerging BA.5.2.48 and BF.7.14 were the dominant variants. The BA.5.2.48 infections were more frequently observed to experience vomiting/diarrhea and less frequently present cough compared to the BF.7.14 infections among patients without comorbidities in the study. The high-frequency unique non-synonymous mutations were present in BA.5.2.48 (N:Q241K) and BF.7.14 (nsp2:V94L, nsp12:L247F, S:C1243F, ORF7a:H47Y) with respect to their parental lineages. Of these mutations, S:C1243F, nsp12:L247F, and ORF7a:H47Y protein were predicted to have a deleterious effect on the protein function. Besides, nsp2:V94L and nsp12:L247F were predicted to destabilize the proteins.DiscussionFurther in vitro to in vivo studies are needed to verify the role of these specific mutations in viral fitness. In addition, continuous genomic monitoring and clinical manifestation assessments of the emerging variants will still be crucial for the effective responses to the ongoing COVID-19 pandemic.
Reference48 articles.
1. Antibody evasion of SARS-CoV-2 omicron BA.1, BA.1.1, BA.2, and BA.3 sub-lineages;Ai;Cell Host Microbe,2022
2. Clinical and virological characteristics of SARS-CoV-2 omicron BA.2.2 variant outbreaks during April to May, 2022, Shanghai, China;Ao;J. Infect.,2022
3. PredictSNP: robust and accurate consensus classifier for prediction of disease-related mutations;Bendl;PLoS Comput. Biol.,2014
4. Novel SARS-CoV-2 variants: the pandemics within the pandemic;Boehm;Clin. Microbiol. Infect.,2021
5. Did hospitalization age decrease in children in the omicron (B.1.1.529) era?;Boncuoglu;Pediatr. Infect. Dis. J.,2022