• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.1371/journal.pbio.3002463
PMID:38289907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10826969/
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/be24ee2887b1/pbio.3002463.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/664a31afb9c0/pbio.3002463.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/7291169a6d6e/pbio.3002463.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/8319e012c242/pbio.3002463.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/be24ee2887b1/pbio.3002463.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/664a31afb9c0/pbio.3002463.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/7291169a6d6e/pbio.3002463.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/8319e012c242/pbio.3002463.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e6e/10826969/be24ee2887b1/pbio.3002463.g004.jpg

相似文献

1
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.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。
PLoS Biol. 2024 Jan 30;22(1):e3002463. doi: 10.1371/journal.pbio.3002463. eCollection 2024 Jan.
2
Within-host SARS-CoV-2 viral kinetics informed by complex life course exposures reveals different intrinsic properties of Omicron and Delta variants.复杂生命历程暴露所揭示的宿主体内新冠病毒动力学显示了奥密克戎和德尔塔变体的不同内在特性。
medRxiv. 2023 May 24:2023.05.17.23290105. doi: 10.1101/2023.05.17.23290105.
3
Real-time estimation of immunological responses against emerging SARS-CoV-2 variants in the UK: a mathematical modelling study.英国针对新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体的免疫反应实时估计:一项数学建模研究
Lancet Infect Dis. 2025 Jan;25(1):80-93. doi: 10.1016/S1473-3099(24)00484-5. Epub 2024 Sep 11.
4
Emerging Variants of SARS-CoV-2 and Novel Therapeutics Against Coronavirus (COVID-19)严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的新变种及针对冠状病毒(COVID-19)的新型疗法
5
COVID-19 in non-hospitalised adults caused by either SARS-CoV-2 sub-variants Omicron BA.1, BA.2, BA.4/5 or Delta associates with similar illness duration, symptom severity and viral kinetics, irrespective of vaccination history.非住院的成年人感染 SARS-CoV-2 亚变体奥密克戎 BA.1、BA.2、BA.4/5 或德尔塔导致的 COVID-19,无论其疫苗接种史如何,其疾病持续时间、症状严重程度和病毒动力学均相似。
PLoS One. 2024 Mar 21;19(3):e0294897. doi: 10.1371/journal.pone.0294897. eCollection 2024.
6
Viral kinetics of SARS-CoV-2 following onset of COVID-19 in symptomatic patients infected with the ancestral strain and omicron BA.2 in Hong Kong: a retrospective observational study.新冠病毒感染后症状患者中,新冠病毒(SARS-CoV-2)的病毒动力学:对香港感染原始株和奥密克戎 BA.2 患者的回顾性观察研究。
Lancet Microbe. 2023 Sep;4(9):e722-e731. doi: 10.1016/S2666-5247(23)00146-5.
7
Kinetics of Viral Shedding for Outbreak Surveillance of Emerging Infectious Diseases: Modeling Approach to SARS-CoV-2 Alpha and Omicron Infection.用于新发传染病暴发监测的病毒脱落动力学:SARS-CoV-2 Alpha 和 Omicron 感染的建模方法。
JMIR Public Health Surveill. 2024 Sep 19;10:e54861. doi: 10.2196/54861.
8
Differences in virus and immune dynamics for SARS-CoV-2 Delta and Omicron infections by age and vaccination histories.不同年龄段和接种史人群中感染 SARS-CoV-2 德尔塔和奥密克戎变异株的病毒和免疫动力学差异。
BMC Infect Dis. 2024 Jun 29;24(1):654. doi: 10.1186/s12879-024-09572-x.
9
Viral and antibody dynamics of acute infection with SARS-CoV-2 omicron variant (B.1.1.529): a prospective cohort study from Shenzhen, China.急性感染 SARS-CoV-2 奥密克戎变异株(B.1.1.529)的病毒和抗体动态:来自中国深圳的前瞻性队列研究。
Lancet Microbe. 2023 Aug;4(8):e632-e641. doi: 10.1016/S2666-5247(23)00139-8. Epub 2023 Jul 14.
10
Detection of SARS-CoV-2 in Saliva and Nasopharyngeal Swabs According to Viral Variants.根据病毒变异情况,在唾液和鼻咽拭子中检测 SARS-CoV-2。
Microbiol Spectr. 2022 Dec 21;10(6):e0213322. doi: 10.1128/spectrum.02133-22. Epub 2022 Nov 8.

引用本文的文献

1
Web-based real-time risk assessment of coronavirus disease 2019 infection in schools and social dining settings.学校和社会餐饮场所中2019冠状病毒病感染的基于网络的实时风险评估
New Microbes New Infect. 2025 May 20;65:101600. doi: 10.1016/j.nmni.2025.101600. eCollection 2025 Jun.
2
SARS-CoV-2 epidemiology, kinetics, and evolution: A narrative review.严重急性呼吸综合征冠状病毒2型的流行病学、动力学及进化:一篇综述
Virulence. 2025 Dec;16(1):2480633. doi: 10.1080/21505594.2025.2480633. Epub 2025 Apr 8.
3
The Effect of Preexisting Coronavirus Antibodies on Severe Acute Respiratory Syndrome Coronavirus 2 Infection Outcomes in Exposed Household Members.

本文引用的文献

1
Global Distribution, Dispersal Patterns, and Trend of Several Omicron Subvariants of SARS-CoV-2 across the Globe.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)几种奥密克戎亚变体在全球的分布、传播模式及趋势
Trop Med Infect Dis. 2022 Nov 12;7(11):373. doi: 10.3390/tropicalmed7110373.
2
Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study.量化免疫史和变异对 SARS-CoV-2 病毒动力学和感染反弹的影响:一项回顾性队列研究。
Elife. 2022 Nov 16;11:e81849. doi: 10.7554/eLife.81849.
3
Onset and window of SARS-CoV-2 infectiousness and temporal correlation with symptom onset: a prospective, longitudinal, community cohort study.
既往冠状病毒抗体对暴露家庭成员中严重急性呼吸综合征冠状病毒2感染结局的影响。
J Infect Dis. 2025 Aug 14;232(2):e318-e326. doi: 10.1093/infdis/jiaf172.
4
Temporal contact patterns and the implications for predicting superspreaders and planning of targeted outbreak control.时间接触模式及其对预测超级传播者和有针对性的疫情防控规划的影响。
J R Soc Interface. 2024 Dec;21(221):20240358. doi: 10.1098/rsif.2024.0358. Epub 2024 Dec 18.
5
Differences in virus and immune dynamics for SARS-CoV-2 Delta and Omicron infections by age and vaccination histories.不同年龄段和接种史人群中感染 SARS-CoV-2 德尔塔和奥密克戎变异株的病毒和免疫动力学差异。
BMC Infect Dis. 2024 Jun 29;24(1):654. doi: 10.1186/s12879-024-09572-x.
6
Recent approaches in computational modelling for controlling pathogen threats.近期用于控制病原体威胁的计算建模方法。
Life Sci Alliance. 2024 Jun 21;7(9). doi: 10.26508/lsa.202402666. Print 2024 Sep.
SARS-CoV-2 传染性的发病和窗口期,以及与症状发作的时间相关性:一项前瞻性、纵向、社区队列研究。
Lancet Respir Med. 2022 Nov;10(11):1061-1073. doi: 10.1016/S2213-2600(22)00226-0. Epub 2022 Aug 18.
4
Duration of Shedding of Culturable Virus in SARS-CoV-2 Omicron (BA.1) Infection.新型冠状病毒奥密克戎(BA.1)感染中可培养病毒的脱落持续时间。
N Engl J Med. 2022 Jul 21;387(3):275-277. doi: 10.1056/NEJMc2202092. Epub 2022 Jun 29.
5
Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective observational study from the ZOE COVID Study.奥密克戎和德尔塔变异株主导期间感染新型冠状病毒(SARS-CoV-2)个体的症状流行率、持续时间及住院风险:来自ZOE COVID研究的一项前瞻性观察性研究
Lancet. 2022 Apr 23;399(10335):1618-1624. doi: 10.1016/S0140-6736(22)00327-0. Epub 2022 Apr 7.
6
Infectious viral load in unvaccinated and vaccinated individuals infected with ancestral, Delta or Omicron SARS-CoV-2.未接种疫苗和接种疫苗的个体中感染原始、Delta 或奥密克戎 SARS-CoV-2 的传染性病毒载量。
Nat Med. 2022 Jul;28(7):1491-1500. doi: 10.1038/s41591-022-01816-0. Epub 2022 Apr 8.
7
Safety, tolerability and viral kinetics during SARS-CoV-2 human challenge in young adults.在年轻成年人中进行 SARS-CoV-2 人体挑战的安全性、耐受性和病毒动力学。
Nat Med. 2022 May;28(5):1031-1041. doi: 10.1038/s41591-022-01780-9. Epub 2022 Mar 31.
8
Three-dose vaccination elicits neutralising antibodies against omicron.三剂疫苗接种可引发针对奥密克戎的中和抗体。
Lancet. 2022 Feb 19;399(10326):715-717. doi: 10.1016/S0140-6736(22)00092-7. Epub 2022 Jan 19.
9
Modelling upper respiratory viral load dynamics of SARS-CoV-2.模拟 SARS-CoV-2 上呼吸道病毒载量动力学。
BMC Med. 2022 Jan 13;20(1):25. doi: 10.1186/s12916-021-02220-0.
10
Viral Dynamics of SARS-CoV-2 Variants in Vaccinated and Unvaccinated Persons.接种疫苗和未接种疫苗人群中新冠病毒变异株的病毒动力学
N Engl J Med. 2021 Dec 23;385(26):2489-2491. doi: 10.1056/NEJMc2102507. Epub 2021 Dec 1.