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利用相对繁殖率预测美国甲型流感大流行谱系的优势地位。

Forecasting influenza A pandemic lineage dominance in the United States using relative reproduction rates.

作者信息

Zeller Michael A, Zhang Rong, Su Yvonne C F, Ito Kimihitio

机构信息

Department of Veterinary Diagnostic & Production Animal Medicine, Iowa State University, 1575 Vet Med, 1850 Christensen Dr, Ames, IA 50011-1134, United States.

Programme in Emerging Infectious Diseases, Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore.

出版信息

Virus Evol. 2025 May 8;11(1):veaf032. doi: 10.1093/ve/veaf032. eCollection 2025.

DOI:10.1093/ve/veaf032
PMID:40458734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12129065/
Abstract

The 2009 H1N1 pandemic (pdm09) lineage is a major component of the H1 influenza A virus (IAV) that causes seasonal outbreaks annually. Since its introduction in the 2009-10 season, this lineage has evolved into distinct, successive clades in humans. Predicting the fitness of influenza clades is essential to forecasting future prevalence, providing a critical opportunity to develop a response to mitigate infection. The relative fitness of pdm09 lineages was retrospectively inferred relative reproduction rate (RR) through RelRe, a programme that implements a renewal equation to estimate the relative difference in reproduction number between cocirculating clades. For this analysis, pdm09 lineage sequences from the USA, collected from 2017 to 2023 in both human and swine hosts, were downloaded from public databases. Clade designations were assigned using Nextclade. Human case count data were divided by each influenza season, and the RR was estimated at 3-month intervals. The RR was then used to forecast clade frequency 90 days into the future, and the predictions were compared to the historical data. The highest predicted frequency at 90 days corresponded to the most frequently detected lineage in 9 out of 13 predictions (69%). The pdm09 lineage plays an important role at the human-swine influenza interface. Bayesian inference using both human and swine data indicated unequal transmission rates of the pdm09 lineage, with 53-79 noted transmissions from human to swine and 0-2 in reverse using the available genetic data. Metadata analysis revealed that new clades of pdm09 in humans were typically detected in swine as early as ~8-20 months after clade emergence in humans. Understanding RR and the fitness of contemporary IAV strains enables the identification of high-risk reverse-zoonotic strains and provides critical time for responding to emergent human clades.

摘要

2009年甲型H1N1流感大流行(pdm09)谱系是甲型H1流感病毒(IAV)的主要组成部分,该病毒每年都会引发季节性疫情。自2009 - 10年季节引入以来,这一谱系已在人类中演变成不同的、相继出现的进化枝。预测流感进化枝的适应性对于预测未来的流行情况至关重要,这为制定减轻感染的应对措施提供了关键契机。通过RelRe程序回顾性推断pdm09谱系的相对适应性,即相对繁殖率(RR),该程序采用更新方程来估计同时流行的进化枝之间繁殖数的相对差异。在本次分析中,从公共数据库下载了2017年至2023年在美国人类和猪宿主中收集的pdm09谱系序列。使用Nextclade指定进化枝名称。将人类病例计数数据按每个流感季节进行划分,并每隔3个月估计一次RR。然后使用RR预测未来90天的进化枝频率,并将预测结果与历史数据进行比较。在13次预测中的9次(69%)中,90天时预测频率最高的对应于检测到频率最高的谱系。pdm09谱系在人 - 猪流感界面发挥着重要作用。使用人类和猪数据的贝叶斯推断表明,pdm09谱系的传播率不平等,根据现有遗传数据,从人到猪的传播记录有53 - 79次,而反向传播为0 - 2次。元数据分析显示,人类中pdm09的新进化枝通常在其在人类中出现进化枝后的约8 - 20个月内在猪中最早被检测到。了解RR和当代IAV毒株的适应性能够识别高风险的反向人畜共患病毒株,并为应对新出现的人类进化枝提供关键时间。

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Predicting the Trajectory of Replacements of SARS-CoV-2 Variants Using Relative Reproduction Numbers.使用相对繁殖数预测 SARS-CoV-2 变异株的替换轨迹。
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Nucleic Acids Res. 2023 Jan 6;51(D1):D678-D689. doi: 10.1093/nar/gkac1003.
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Influenza and RSV incidence during COVID-19 pandemic-an observational study from in-hospital point-of-care testing.COVID-19 大流行期间的流感和 RSV 发病率:一项来自医院即时检测的观察性研究。
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