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斯里兰卡科伦坡近期登革热疫情的基因组监测

Genomic Surveillance of Recent Dengue Outbreaks in Colombo, Sri Lanka.

机构信息

School of Biomedical Sciences, UNSW Sydney, Sydney, NSW 2052, Australia.

Kirby Institute, UNSW Sydney, Sydney, NSW 2052, Australia.

出版信息

Viruses. 2023 Jun 21;15(7):1408. doi: 10.3390/v15071408.

Abstract

All four serotypes of the dengue virus (DENV1-4) cause a phenotypically similar illness, but serial infections from different serotypes increase the risk of severe disease. Thus, genomic surveillance of circulating viruses is important to detect serotype switches that precede community outbreaks of disproportionate magnitude. A phylogenetic analysis was conducted on near full length DENV genomes sequenced from serum collected from a prospective cohort study from the Colombo district, Sri Lanka during a 28-month period using Oxford nanopore technology, and the consensus sequences were analyzed using maximum likelihood and Bayesian evolutionary analysis. From 523 patients, 328 DENV sequences were successfully generated (DENV1: 43, DENV2: 219, DENV3:66). Most circulating sequences originated from a common ancestor that was estimated to have existed from around 2010 for DENV2 and around 2015/2016 for DENV1 and DENV3. Four distinct outbreaks coinciding with monsoon rain seasons were identified during the observation period mostly driven by DENV2 cosmopolitan genotype, except for a large outbreak in 2019 contributed by DENV3 genotype I. This serotype switch did not result in a more clinically severe illness. Phylogeographic analyses showed that all outbreaks started within Colombo city and then spread to the rest of the district. In 2019, DENV3 genotype I, previously, rarely reported in Sri Lanka, is likely to have contributed to a disease outbreak. However, this did not result in more severe disease in those infected, probably due to pre-existing DENV3 immunity in the community. Targeted vector control within Colombo city before anticipated seasonal outbreaks may help to limit the geographic spread of outbreaks.

摘要

所有四种登革热病毒血清型(DENV1-4)都会引起表型相似的疾病,但不同血清型的连续感染会增加患严重疾病的风险。因此,对循环病毒进行基因组监测对于检测可能导致社区暴发不成比例的血清型转换非常重要。利用牛津纳米孔技术对来自斯里兰卡科伦坡地区前瞻性队列研究血清中采集的近全长 DENV 基因组进行了系统发育分析,并使用最大似然法和贝叶斯进化分析对共识序列进行了分析。从 523 名患者中成功生成了 328 个 DENV 序列(DENV1:43,DENV2:219,DENV3:66)。大多数循环序列源自一个共同的祖先,估计 DENV2 的祖先存在于 2010 年左右,DENV1 和 DENV3 的祖先存在于 2015/2016 年左右。在观察期间,除了 2019 年由 DENV3 基因型 I 引起的大型暴发外,还发现了四个与季风雨季节相吻合的不同暴发,主要由 DENV2 世界性基因型驱动。这种血清型转换并没有导致更严重的疾病。系统发育分析表明,所有暴发均始于科伦坡市,然后蔓延至该地区其他地区。2019 年,在斯里兰卡以前很少报告的 DENV3 基因型 I 可能导致了疾病暴发。然而,这并没有导致感染人群出现更严重的疾病,可能是由于社区中存在预先存在的 DENV3 免疫力。在预期的季节性暴发之前,在科伦坡市进行有针对性的病媒控制,可能有助于限制暴发的地理传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/add4/10384240/90363b150928/viruses-15-01408-g001.jpg

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