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2019年至2023年缅甸呼吸道合胞病毒感染的分子流行病学监测

Molecular epidemiological surveillance of respiratory syncytial virus infection in Myanmar from 2019 to 2023.

作者信息

Li Jiaming, Chon Irina, Phyu Wint Wint, Kyaw Yadanar, Aye Moe Myat, Setk Swe, Win Su Mon Kyaw, Yoshioka Sayaka, Wagatsuma Keita, Sun Yuyang, Purnama Tri Bayu, Otoguro Teruhime, Tamura Tsutomu, Tin Htay Htay, Watanabe Hisami, Saito Reiko

机构信息

Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata, 951 - 8510, Japan.

Department of Microbiology, University of Medicine, Magway, 04012, Myanmar.

出版信息

Sci Rep. 2025 Apr 16;15(1):13126. doi: 10.1038/s41598-025-97103-2.

Abstract

To evaluate genetic changes in respiratory syncytial virus (RSV) between 2019 and 2023, we analyzed RSV strains from Myanmar before and after the COVID- 19 pandemic. Real-time polymerase chain reaction (RT-PCR) positive samples from children presenting with acute respiratory infections at outpatient clinics in Yangon were sequenced to determine the genotype. Phylogenetic and molecular evolutionary analyses were conducted using the Bayesian Markov Chain Monte Carlo method to construct the time-scale Maximum Clade Credibility tree. Of 1127 samples, 104 (9.2%) RSV-A and 233 (20.7%) RSV-B were positive by RT-PCR. There was an absence of a notable epidemic in 2020, a temporal shift with a surge of RSV-A in the 2021 outbreak, a lack of expected cases in 2022 and a substantial resurgence of RSV-B in 2023. The genotype of RSV-A was mainly A.D.3 lineage through the study period, while RSV-B were B.D.4.1.1 and B.D.E.1. RSV-A showed that the same lineage persisted within Myanmar throughout the pandemic, leading to a large outbreak post-COVID. In contrast, RSV-B strains appear to have temporarily disappeared during the pandemic, but subsequently, globally circulating strains likely entered Myanmar, resulting in a major outbreak in 2023. The estimated evolutionary rate at the G-ectodomain for RSV-A was 7.76 × 10⁻³ and RSV-B was 5.67 × 10⁻³ substitutions/site/year. Strengthening genomic surveillance will likely support comparisons of circulating strains with those in other countries and facilitate the introduction of vaccines and other interventions.

摘要

为评估2019年至2023年间呼吸道合胞病毒(RSV)的基因变化,我们分析了新冠疫情前后缅甸的RSV毒株。对仰光门诊出现急性呼吸道感染的儿童的实时聚合酶链反应(RT-PCR)阳性样本进行测序以确定基因型。使用贝叶斯马尔可夫链蒙特卡罗方法进行系统发育和分子进化分析,以构建时间尺度的最大分支可信度树。在1127份样本中,104份(9.2%)RSV-A和233份(20.7%)RSV-B通过RT-PCR检测呈阳性。2020年没有明显疫情,2021年疫情爆发时RSV-A出现时间上的变化并激增,2022年病例数未达预期,2023年RSV-B大幅反弹。在研究期间,RSV-A的基因型主要为A.D.3谱系,而RSV-B为B.D.4.1.1和B.D.E.1。RSV-A显示在整个疫情期间缅甸境内同一谱系持续存在,导致新冠疫情后出现大规模爆发。相比之下,RSV-B毒株在疫情期间似乎暂时消失,但随后,全球流行的毒株可能进入了缅甸,导致2023年出现大规模爆发。RSV-A在G-外结构域的估计进化速率为7.76×10⁻³,RSV-B为5.67×10⁻³替换/位点/年。加强基因组监测可能有助于将流行毒株与其他国家的毒株进行比较,并促进疫苗和其他干预措施的引入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb6/12003782/4087bb597cf9/41598_2025_97103_Fig1_HTML.jpg

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