Quantitative Approaches to Understand Differential Immune Responses in COVID-19

了解 COVID-19 中差异免疫反应的定量方法

基本信息

  • 批准号:
    554923-2020
  • 负责人:
  • 金额:
    $ 3.64万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Alliance Grants
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

The novel coronavirus SARS-CoV-2 that emerged in late 2019 is the source of a global pandemic and ongoing public health crisis. Mounting evidence points to dysregulated and hyper-reactive inflammatory responses, including hyperinflammation and cytokine storms, as particular presentations in severe COVID-19. Further, since the start of the pandemic, the SARS-CoV-2 virus causing COVID-19 has evolved from its original RNA sequence that came from human transmission of an animal viral strain. Overall, the mechanisms of the immune response after infection (by the original or a mutated strain) remain to be delineated. Here we will develop quantitative tools with which we can interrogate SARS-CoV-2 infection and COVID-19 clinical manifestation to distinguish clinically-actionable diagnostic markers. This will be accomplished through a broad, international collaboration between academic, industrial, and health care partners who will work together to develop mathematical and computational platforms whose results will be immediately translated into pre-clinical and clinical settings, aiding to refine experimental questions and improve patient care. Ultimately, by improving our understanding of SARS-CoV-2 infection and immune responses to novel coronavirus, our results will rationalize the search for candidate therapies and the pre-clinical decision making process, and contribute to reducing clinical trial failures and bettering patient outcomes.
2019年末出现的新型冠状病毒SARS-CoV-2是全球大流行和持续的公共卫生危机的源头。越来越多的证据表明,调控失调和高反应性的炎症反应,包括高度炎症和细胞因子风暴,是严重新冠肺炎的特殊表现。此外,自疫情开始以来,导致新冠肺炎的SARS-CoV-2病毒是从最初的来自人类传播动物病毒株的rna序列进化而来的。总体而言,感染(由原始毒株或突变毒株)后的免疫反应机制仍有待描述。在这里,我们将开发定量工具,用于询问SARS-CoV-2感染和新冠肺炎的临床表现,以区分临床上可操作的诊断标志物。这将通过学术界、产业界和医疗保健合作伙伴之间的广泛国际合作来实现,这些合作伙伴将共同开发数学和计算平台,其结果将立即转化为临床前和临床环境,帮助完善实验问题和改善患者护理。最终,通过提高我们对SARS-CoV-2感染和对新型冠状病毒的免疫反应的了解,我们的结果将使候选疗法的搜索和临床前决策过程合理化,并有助于减少临床试验失败和改善患者结果。

项目成果

期刊论文数量(0)
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Craig, Morgan其他文献

Mathematical modeling predicts pathways to successful implementation of combination TRAIL-producing oncolytic virus and PAC-1 to treat granulosa cell tumors of the ovary.
  • DOI:
    10.1080/15384047.2023.2283926
  • 发表时间:
    2023-12-31
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Le Sauteur-Robitaille, Justin;Crosley, Powel;Hitt, Mary;Jenner, Adrianne L;Craig, Morgan
  • 通讯作者:
    Craig, Morgan
Neutrophil dynamics during concurrent chemotherapy and G-CSF administration: Mathematical modelling guides dose optimisation to minimise neutropenia
  • DOI:
    10.1016/j.jtbi.2015.08.015
  • 发表时间:
    2015-11-21
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Craig, Morgan;Humphries, Antony R.;Mackey, Michael C.
  • 通讯作者:
    Mackey, Michael C.
Transit and lifespan in neutrophil production: implications for drug intervention
A mathematical model of protein subunits COVID-19 vaccines.
  • DOI:
    10.1016/j.mbs.2023.108970
  • 发表时间:
    2023-04
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Gholami, Samaneh;Korosec, Chapin S.;Farhang-Sardroodi, Suzan;Dick, David W.;Craig, Morgan;Ghaemi, Mohammad Sajjad;Ooi, Hsu Kiang;Heffernan, Jane M.
  • 通讯作者:
    Heffernan, Jane M.
The timing of cyclic cytotoxic chemotherapy can worsen neutropenia and neutrophilia
  • DOI:
    10.1111/bcp.14424
  • 发表时间:
    2020-06-30
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Mackey, Michael C.;Glisovic, Sanja;Craig, Morgan
  • 通讯作者:
    Craig, Morgan

Craig, Morgan的其他文献

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{{ truncateString('Craig, Morgan', 18)}}的其他基金

Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    RGPIN-2018-04546
  • 财政年份:
    2022
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    RGPIN-2018-04546
  • 财政年份:
    2021
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    RGPIN-2018-04546
  • 财政年份:
    2020
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    RGPIN-2018-04546
  • 财政年份:
    2019
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    DGECR-2018-00297
  • 财政年份:
    2018
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Launch Supplement
Characterization of disrupted hematopoiesis by mathematical modelling
通过数学模型表征受损的造血功能
  • 批准号:
    RGPIN-2018-04546
  • 财政年份:
    2018
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Discovery Grants Program - Individual
Towards a cure for HIV: mathematical modelling to quantify the penetration of antiretroviral drugs into HIV reservoirs and the impact of poor adherence on drug resistance to improve treatment designs
治愈艾滋病毒:通过数学模型量化抗逆转录病毒药物对艾滋病毒储存库的渗透以及依从性差对耐药性的影响,以改进治疗设计
  • 批准号:
    502143-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Postdoctoral Fellowships
Mathematical Modelling of Intermediate Filament Networks
中间丝网络的数学建模
  • 批准号:
    409425-2011
  • 财政年份:
    2013
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Mathematical Modelling of Intermediate Filament Networks
中间丝网络的数学建模
  • 批准号:
    409425-2011
  • 财政年份:
    2012
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Mathematical Modelling of Intermediate Filament Networks
中间丝网络的数学建模
  • 批准号:
    409425-2011
  • 财政年份:
    2011
  • 资助金额:
    $ 3.64万
  • 项目类别:
    Postgraduate Scholarships - Doctoral

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Lagrangian origin of geometric approaches to scattering amplitudes
  • 批准号:
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  • 批准年份:
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