中国广东 COVID-19 大流行期间甲型 (H3N2) 和乙型/维多利亚流感病毒的分子流行病学和系统发育分析。

IF 8.1 1区 医学
Zhiqi Zeng, Yong Liu, Wenxiang Jin, Jingyi Liang, Jinbin Chen, Ruihan Chen, Qianying Li, Wenda Guan, Lixi Liang, Qiubao Wu, Yuanfang Lai, Xiaoyan Deng, Zhengshi Lin, Chitin Hon, Zifeng Yang
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引用次数: 0

摘要

背景:非药物措施和旅行限制阻止了 2019 年冠状病毒病(COVID-19)和流感的传播。然而,随着 COVID-19 限制的解除,2021 年末在中国南方的广东爆发了一场意料之外的乙型流感/维多利亚病毒疫情,2022 年年中又爆发了一场 H3N2 流感疫情。造成这一现象的机制仍不清楚。为了更好地应对COVID-19大流行期间可能爆发的流感疫情,我们研究了COVID-19大流行期间在该地区流行的甲型(H3N2)和乙型/维多利亚流感的分子流行病学和系统发育:从2018年1月1日至2022年12月31日,我们收集了广东173401名急性呼吸道感染患者的咽拭子。采用反转录聚合酶链反应检测样本中的流感病毒,然后进行亚型鉴定和血凝素(HA)和神经氨酸酶(NA)基因测序。对 403 个样本的两个基因进行了系统发育和遗传多样性分析。将严格的分子时钟与系统发生树进行比对,以衡量病毒的进化速度,并利用回归曲线模型评估不同年份毒株间的根尖距离,以确定相关性:结果:在COVID-19控制初期,各种流感病毒在呼吸道标本中几乎检测不到。2020 年 1 月控制措施放松后,流感感染率在 2021 年 12 月达到峰值,为 4.94%(39/789),其中乙型/维多利亚型流感占流感病例总数的 87.18%(34/39)。6 个月后,流感感染率再次上升,在 2022 年 6 月达到峰值 11.34%(255/2248);2022 年秋季,甲型 H3N2 流感占流感病例总数的 94.51%(241/255)。乙型/维多利亚型和甲型/乙型 H3N2 流感病毒 HA 基因的不同地理分布已大幅减少,大多数毒株来自中国。B/Victoria HA 的进化速度(3.11 × 10-3,P -3,P -3(P -3,P 结论:尽管流感感染的检出率极低,但在严格控制 COVID-19 期间,个体之间可能会发生隐性流感传播。这最终会导致病毒变异的积累,加速 H3N2 和 B/Victoria 病毒的进化。对流感演变的监测可为未来潜在的流行病提供洞察力和警报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular epidemiology and phylogenetic analysis of influenza viruses A (H3N2) and B/Victoria during the COVID-19 pandemic in Guangdong, China.

Background: Non-pharmaceutical measures and travel restrictions have halted the spread of coronavirus disease 2019 (COVID-19) and influenza. Nonetheless, with COVID-19 restrictions lifted, an unanticipated outbreak of the influenza B/Victoria virus in late 2021 and another influenza H3N2 outbreak in mid-2022 occurred in Guangdong, southern China. The mechanism underlying this phenomenon remains unknown. To better prepare for potential influenza outbreaks during COVID-19 pandemic, we studied the molecular epidemiology and phylogenetics of influenza A(H3N2) and B/Victoria that circulated during the COVID-19 pandemic in this region.

Methods: From January 1, 2018 to December 31, 2022, we collected throat swabs from 173,401 patients in Guangdong who had acute respiratory tract infections. Influenza viruses in the samples were tested using reverse transcription-polymerase chain reaction, followed by subtype identification and sequencing of hemagglutinin (HA) and neuraminidase (NA) genes. Phylogenetic and genetic diversity analyses were performed on both genes from 403 samples. A rigorous molecular clock was aligned with the phylogenetic tree to measure the rate of viral evolution and the root-to-tip distance within strains in different years was assessed using regression curve models to determine the correlation.

Results: During the early period of COVID-19 control, various influenza viruses were nearly undetectable in respiratory specimens. When control measures were relaxed in January 2020, the influenza infection rate peaked at 4.94% (39/789) in December 2021, with the influenza B/Victoria accounting for 87.18% (34/39) of the total influenza cases. Six months later, the influenza infection rate again increased and peaked at 11.34% (255/2248) in June 2022; influenza A/H3N2 accounted for 94.51% (241/255) of the total influenza cases in autumn 2022. The diverse geographic distribution of HA genes of B/Victoria and A/H3N2 had drastically reduced, and most strains originated from China. The rate of B/Victoria HA evolution (3.11 × 10-3, P < 0.05) was 1.7 times faster than before the COVID-19 outbreak (1.80 × 10-3, P < 0.05). Likewise, the H3N2 HA gene's evolution rate was 7.96 × 10-3 (P < 0.05), which is 2.1 times faster than the strains' pre-COVID-19 evolution rate (3.81 × 10-3, P < 0.05).

Conclusions: Despite the extraordinarily low detection rate of influenza infection, concealed influenza transmission may occur between individuals during strict COVID-19 control. This ultimately leads to the accumulation of viral mutations and accelerated evolution of H3N2 and B/Victoria viruses. Monitoring the evolution of influenza may provide insights and alerts regarding potential epidemics in the future.

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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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