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对人类队列中个体内 SARS-CoV-2 病毒动力学和既往病毒暴露信息的联合分析,鉴定出了奥密克戎和德尔塔变异株的内在差异。

Combined analyses of within-host SARS-CoV-2 viral kinetics and information on past exposures to the virus in a human cohort identifies intrinsic differences of Omicron and Delta variants.

机构信息

Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.

The Francis Crick Institute, London, United Kingdom.

出版信息

PLoS Biol. 2024 Jan 30;22(1):e3002463. doi: 10.1371/journal.pbio.3002463. eCollection 2024 Jan.

Abstract

The emergence of successive Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) during 2020 to 2022, each exhibiting increased epidemic growth relative to earlier circulating variants, has created a need to understand the drivers of such growth. However, both pathogen biology and changing host characteristics-such as varying levels of immunity-can combine to influence replication and transmission of SARS-CoV-2 within and between hosts. Disentangling the role of variant and host in individual-level viral shedding of VOCs is essential to inform Coronavirus Disease 2019 (COVID-19) planning and response and interpret past epidemic trends. Using data from a prospective observational cohort study of healthy adult volunteers undergoing weekly occupational health PCR screening, we developed a Bayesian hierarchical model to reconstruct individual-level viral kinetics and estimate how different factors shaped viral dynamics, measured by PCR cycle threshold (Ct) values over time. Jointly accounting for both interindividual variation in Ct values and complex host characteristics-such as vaccination status, exposure history, and age-we found that age and number of prior exposures had a strong influence on peak viral replication. Older individuals and those who had at least 5 prior antigen exposures to vaccination and/or infection typically had much lower levels of shedding. Moreover, we found evidence of a correlation between the speed of early shedding and duration of incubation period when comparing different VOCs and age groups. Our findings illustrate the value of linking information on participant characteristics, symptom profile and infecting variant with prospective PCR sampling, and the importance of accounting for increasingly complex population exposure landscapes when analysing the viral kinetics of VOCs. Trial Registration: The Legacy study is a prospective observational cohort study of healthy adult volunteers undergoing weekly occupational health PCR screening for SARS-CoV-2 at University College London Hospitals or at the Francis Crick Institute (NCT04750356) (22,23). The Legacy study was approved by London Camden and Kings Cross Health Research Authority Research and Ethics committee (IRAS number 286469). The Legacy study was approved by London Camden and Kings Cross Health Research Authority Research and Ethics committee (IRAS number 286469) and is sponsored by University College London Hospitals. Written consent was given by all participants.

摘要

2020 年至 2022 年期间,连续出现了具有更高流行增长率的严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)变异株,这需要我们了解导致这种增长的驱动因素。然而,病原体生物学和宿主特征的变化(如免疫水平的变化)都可能影响 SARS-CoV-2 在宿主内和宿主间的复制和传播。在个体水平上,区分变异株和宿主在变异株病毒脱落中的作用,对于了解 2019 年冠状病毒病(COVID-19)的规划和应对措施以及解释过去的流行趋势至关重要。我们使用一项前瞻性观察性队列研究中健康成年志愿者每周接受职业健康 PCR 筛查的数据,开发了一个贝叶斯层次模型来重建个体水平的病毒动力学,并估计不同因素如何通过时间的 PCR 循环阈值(Ct)值来影响病毒动力学。该模型联合考虑了 Ct 值的个体间差异和复杂的宿主特征,如疫苗接种状态、暴露史和年龄,我们发现年龄和之前暴露的次数对病毒复制的峰值有很大的影响。年龄较大的个体和之前至少有 5 次抗原暴露于疫苗接种和/或感染的个体,通常病毒脱落水平较低。此外,我们还发现,在比较不同的变异株和年龄组时,早期脱落速度与潜伏期之间存在相关性。我们的研究结果表明,将参与者特征、症状谱和感染变异株的信息与前瞻性 PCR 采样联系起来具有重要价值,并且在分析变异株的病毒动力学时,需要考虑日益复杂的人群暴露情况。

试验注册

Legacy 研究是一项前瞻性观察性队列研究,研究对象为在伦敦大学学院医院或弗朗西斯·克里克研究所接受每周 SARS-CoV-2 职业健康 PCR 筛查的健康成年志愿者(NCT04750356)(22,23)。该研究已获得伦敦卡姆登和国王十字健康研究管理局研究和伦理委员会的批准(IRAS 编号 286469)。该研究已获得伦敦卡姆登和国王十字健康研究管理局研究和伦理委员会的批准(IRAS 编号 286469),并由伦敦大学学院医院赞助。所有参与者均书面同意参加该研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/664a31afb9c0/pbio.3002463.g001.jpg

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