Center for Integrative Neuroscience

综合神经科学中心

基本信息

  • 批准号:
    10853703
  • 负责人:
  • 金额:
    $ 35.81万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-07-15 至 2027-05-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY (supplement) The long-term goal of this project is to understand the mechanisms underlying the pathogenesis and neural symptoms of long-COVID/PASC, including cognitive impairments, fatigue, and loss of smell. Distinct mechanisms may be at play due to multiple potentially overlapping causes of long-COVID. There is thus an urgent need to merge diverse perspectives and approaches to study long-COVID’s pathogenesis and neural symptoms. The short-term goal of this pilot study is to establish a research framework and strengthen a collaboration of investigators with diverse backgrounds and skill sets to mount a truly multidisciplinary proposal to understand the neuropathology of long-COVID. Toward this goal, aim 1 of this project will leverage the C. elegans model organism to understand the role of the inflammatory kynurenine pathway (KP) and its neuroactive metabolites in viral infection-induced sleepiness/fatigue. Aim 2 will use the Drosophila olfactory sensory neurons as a model to study the molecular interactions between the Covid-ACE2 (viral) and insulin (diabetic) pathways and their relationship to smell loss. Aim 3 will use human patients diagnosed with long-COVID to assess changes in brain network topology. Aim 4 will use human specimens to investigate serum protein biomarkers by performing longitudinal analysis of specific inflammatory biomarkers (e.g., cytokines, kynurenine, etc.) early following COVID-19 infection and in those that develop long-COVID. The results will shed light on candidate inflammatory biomarkers such as cytokines, kynurenine, and changes in brain connectivity in patients with long- COVID symptoms. They could lead to a more accurate diagnosis and prognosis of long-COVID. Finally, the results will help us reinforce this unique collaboration and optimize future directions to study long-COVID mechanisms. Our proposal synergizes well with the broader goals of the Integrative Neuroscience COBRE at UNR, which aims to synergize and elevate neuroscience research capacity at UNR and across Nevada. First, this unique multidisciplinary collaboration fulfills the central goal of the COBRE to cross-fertilize research units that have already developed expertise in cognitive and cellular neuroscience. Second, by extensively using core facilities, such as the Neuroimaging, and Cellular and Molecular Imaging cores, the project takes advantage of the modern infrastructure established at UNR and Renown Medical Center by COBRE Phases I and II to mount impactful research in neuroscience. Third, our extensive use of computational analytics and the incorporation of artificial intelligence in our data analysis plans align with the future vision of Phase III of COBRE, which is to expand data analytics service to include AI and deep learning facilities. Lastly, this project combines diverse approaches and perspectives to tackle important questions about neurological long-COVID, which will lead to unique collaborative research and training opportunities in the future, further advancing COBRE’s goals to build research capacity at UNR and new funding opportunities in neuroscience.
项目摘要(补充) 该项目的长期目标是了解发病机制和神经系统疾病的发病机制。 长期COVID/PASC的症状,包括认知障碍、疲劳和嗅觉丧失。不同 由于长期COVID的多种潜在重叠原因,可能存在多种机制。因此, 迫切需要融合不同的观点和方法来研究长期COVID的发病机制和神经 症状这项试验性研究的短期目标是建立一个研究框架, 具有不同背景和技能的调查人员合作,提出真正的多学科提案 了解长期COVID的神经病理学。为了实现这一目标,本项目的目标1将利用C。 elegans模式生物了解炎症犬尿氨酸途径(KP)的作用及其神经活性 病毒感染引起的嗜睡/疲劳中的代谢物。目标2将利用果蝇的嗅觉感觉神经元 作为研究Covid-ACE 2(病毒)和胰岛素(糖尿病)途径之间分子相互作用的模型 和嗅觉丧失的关系Aim 3将使用被诊断患有长期COVID的人类患者来评估变化 大脑网络拓扑学中。Aim 4将使用人类标本研究血清蛋白生物标志物, 进行特异性炎症生物标志物的纵向分析(例如,细胞因子、犬尿氨酸等)早期 在COVID-19感染后和那些发展为长期COVID的人中。结果将有助于候选人 炎症生物标志物,如细胞因子,犬尿氨酸,以及长时间脑梗死患者脑连接的变化。 COVID症状。它们可能导致更准确的诊断和长期COVID的预后。最后 研究结果将有助于我们加强这种独特的合作,并优化未来研究长期COVID的方向 机制等我们的建议与综合神经科学COBRE的更广泛目标协同作用, UNR,旨在协同和提升UNR和整个内华达州的神经科学研究能力。第一、 这种独特的多学科合作实现了COBRE的中心目标,即使各研究单位相互促进 已经在认知和细胞神经科学方面发展了专业知识。第二,广泛使用核心 设施,如神经成像,细胞和分子成像核心,该项目利用 COBRE第一和第二阶段在UNR和Renown医疗中心建立的现代化基础设施, 在神经科学中有影响力的研究。第三,我们广泛使用计算分析, 我们数据分析计划中的人工智能与COBRE第三阶段的未来愿景一致,即 扩展数据分析服务,包括人工智能和深度学习设施。最后,这个项目结合了多种多样的 解决神经系统长期COVID重要问题的方法和观点,这将导致 未来独特的合作研究和培训机会,进一步推进COBRE的目标, UNR的研究能力和神经科学的新资助机会。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Calibration of head mounted displays for vision research with virtual reality.
  • DOI:
    10.1167/jov.23.6.7
  • 发表时间:
    2023-06-01
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
  • 通讯作者:
Machine learning (ML)-assisted surface tension and oscillation-induced elastic modulus studies of oxide-coated liquid metal (LM) alloys.
  • DOI:
    10.1088/2515-7639/acf78c
  • 发表时间:
    2023-10-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
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MICHAEL A WEBSTER其他文献

MICHAEL A WEBSTER的其他文献

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{{ truncateString('MICHAEL A WEBSTER', 18)}}的其他基金

Center for Integrative Neuroscience
综合神经科学中心
  • 批准号:
    10418518
  • 财政年份:
    2022
  • 资助金额:
    $ 35.81万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10666516
  • 财政年份:
    2022
  • 资助金额:
    $ 35.81万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10885843
  • 财政年份:
    2022
  • 资助金额:
    $ 35.81万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10418519
  • 财政年份:
    2022
  • 资助金额:
    $ 35.81万
  • 项目类别:
Center for Integrative Neuroscience
综合神经科学中心
  • 批准号:
    10666515
  • 财政年份:
    2022
  • 资助金额:
    $ 35.81万
  • 项目类别:
Annual meeting of the Vision Sciences Society: Travel grants for junior investigators
视觉科学学会年会:为初级研究人员提供旅费补助
  • 批准号:
    9763082
  • 财政年份:
    2019
  • 资助金额:
    $ 35.81万
  • 项目类别:
Annual meeting of the Vision Sciences Society: Travel grants for junior investigators
视觉科学学会年会:为初级研究人员提供旅费补助
  • 批准号:
    9993801
  • 财政年份:
    2019
  • 资助金额:
    $ 35.81万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    8681477
  • 财政年份:
    2014
  • 资助金额:
    $ 35.81万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    8539811
  • 财政年份:
    2013
  • 资助金额:
    $ 35.81万
  • 项目类别:
Center for Integrative Neuroscience
综合神经科学中心
  • 批准号:
    10194512
  • 财政年份:
    2012
  • 资助金额:
    $ 35.81万
  • 项目类别:

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