An integrated experimental and computational study of erythrocyte adhesion mechanics in blood flows

血流中红细胞粘附力学的综合实验和计算研究

基本信息

  • 批准号:
    1706295
  • 负责人:
  • 金额:
    $ 39.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-01 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

When red blood cells stick to the walls of blood vessels, a number of potentially life-threatening health problems can be created, including sickle-cell anemia, malaria, and diabetes. Currently, our understanding of how red blood cell properties influence their stickiness is limited. This research project combines theory, mathematical models and experiments to try to develop an accurate description of the mechanisms that lead to cell adhesion to blood vessel walls. The researchers involved in this project are participating in an existing outreach program that engages high school students from local disadvantaged communities in research opportunities, lab tours, and guest lectures. YouTube videos and workshops targeted at the general population are further extending the understanding of this work to a broader audience, as are the development and delivery of experimental modules related to this project. This flexible educational and training program is intended to help develop the workforce needed to address expanding demands in the field of biomedical science and healthcare. The central hypothesis of this study is that erythrocyte deformability is a key factor in cell attachment and detachment processes, wherein low-deformability cells have more stable contact with the adhesion molecules, which enhances the adhesion strength of erythrocyte to endothelium. To verify the hypothesis, the specific research aims of this project are: (i) to derive a fundamental understanding of the fluid mechanics in the vicinity of erythrocyte endothelium interactions by a novel monolithic Lagrangian Fluid-Structure Interaction model and micro-Particle Image Velocimetry experiments in microfluidic channels, and quantify the lift and drag forces on the deformable cells exerted by the plasma under different flow conditions; (ii) to use integrated microfluidic experiments and cell-scale Fluid-Structure Interaction simulations to characterize the mechanical properties and deformability of healthy and unhealthy cells in physiological conditions; and (iii) to qualitatively and quantitatively describe the influence of cell deformability on the underlying physics of flowing erythrocyte adhesion to immobilized endothelium proteins by a combination of three-dimensional direct cell simulations in plasma and microfluidic experiments. The researchers are focusing on better understanding the sensitivities of the shape, deformability and membrane properties of cells, the type and density of receptor-ligand bonds, as well as the physiological shear rates of plasma, on the dynamic strength of erythrocyte-endothelium adhesion. This project will advance the knowledge base in computational science, biomechanics and develop new experimental technologies to treat vascular disease.
当红细胞粘在血管壁上时,可能会引起许多潜在的威胁生命的健康问题,包括镰状细胞性贫血,疟疾和糖尿病。当前,我们对红细胞特性如何影响其粘性的理解受到限制。该研究项目结合了理论,数学模型和实验,以尝试对导致细胞粘合到血管壁的机制进行准确描述。参与该项目的研究人员正在参加现有的外展计划,该计划与当地灾难社区的高中学生参与研究机会,实验室旅行和嘉宾讲座。针对普通人群的YouTube视频和研讨会正在进一步将对这项工作的理解扩大给更广泛的受众,与该项目相关的实验模块的开发和交付也是如此。这项灵活的教育和培训计划旨在帮助发展生物医学和医疗保健领域不断扩展的需求所需的劳动力。这项研究的中心假设是红细胞的变形性是细胞附着和脱离过程的关键因素,其中低稳态细胞与粘附分子具有更稳定的接触,从而增强了红细胞与内皮细胞的粘附强度。为了验证该假设,该项目的具体研究目的是:(i)通过新型的Lagrangian流体互动模型和微粒子图像速度实验中的单个单层互动模型和微生物效应的效率驱动的效率和定量的效率,并定量了微纤维型的效率,从而得出了对红细胞内皮相互作用相互作用的液体机制的基本理解。在不同流动条件下的血浆; (ii)使用集成的微流体实验和细胞尺度的流体结构相互作用模拟来表征身体条件下健康和不健康细胞的机械性能和可变形性; (iii)通过在血浆和微氟实验中的三维直接细胞模拟结合结合了定性和定量描述细胞变形性对固定的内皮蛋白质的潜在物理学的影响。研究人员正在专注于更好地理解细胞的形状,变形性和膜特性的灵敏度,受体配体键的类型和密度以及血浆的物理剪切速率,对红细胞 - 内皮粘合剂的动态强度。该项目将推进计算科学,生物力学的知识库,并开发新的实验技术来治疗血管疾病。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Bo Li其他文献

Wiener-filter-based Minimum Variance Self-tuning Regulation
基于维纳滤波器的最小方差自调节调节
  • DOI:
    10.1016/s0005-1098(97)00190-8
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    R. Horowitz;Bo Li;James McCormick
  • 通讯作者:
    James McCormick
Validity and reliability of patient section of evidence-based medical records about doctor-patient building through integrated therapy of traditional Chinese and Western medicine (DPEBMR-P) in patients with gastrointestinal diseases (DOI: 10.21037/atm.201
胃肠道疾病患者中西医结合医患构建(DPEBMR-P)循证病历患者部分的有效性和可靠性(DOI:10.21037/atm.201)
  • DOI:
    10.21037/atm.2018.12.27
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shuo Feng;Lingxiao Chen;Guihua Tian;Jing Hu;Yang Ding;Zhengguang Du;Hongkai Zhang;Bo Li;Yang Li
  • 通讯作者:
    Yang Li
Single-event burnout hardening of planar power MOSFET with partially widened trench source
部分加宽沟槽源平面功率 MOSFET 的单粒子烧毁硬化
  • DOI:
    10.1088/1674-4926/39/3/034003
  • 发表时间:
    2018-03
  • 期刊:
  • 影响因子:
    5.1
  • 作者:
    Jiang Lu;Hai nan Liu;Xiaowu Cai;Jiajun Luo;Bo Li;Binhong Li;Lixin Wang;Zhengsheng Han
  • 通讯作者:
    Zhengsheng Han
Formation mechanisms of solid in water in oil compound droplets in a horizontal T-junction device
水平T型连接装置中油包水复合液滴的形成机理
  • DOI:
    10.1016/j.ces.2017.10.049
  • 发表时间:
    2018-02
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Dawei Pan;Meifang Liu;Fang Li;Qiang Chen;Xiangdong Liu;Yiyang Liu;Zhanwen Zhang;Weixing Huang;Bo Li
  • 通讯作者:
    Bo Li
Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet
基于异常检测和SPP-PCANet的光学遥感图像船舶自动检测
  • DOI:
    10.3390/rs11010047
  • 发表时间:
    2018-12
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Nan Wang;Bo Li;Yonghua Wang
  • 通讯作者:
    Yonghua Wang

Bo Li的其他文献

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{{ truncateString('Bo Li', 18)}}的其他基金

ERI: Robust and Scalable Manufacturing of Ultra-Sensitive and Selective Molecule Sensor Arrays
ERI:稳健且可扩展的超灵敏和选择性分子传感器阵列制造
  • 批准号:
    2301668
  • 财政年份:
    2024
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
Characterizing CmodAA-Containing Biosynthetic Pathways of Nonribosomal Peptides
表征非核糖体肽的含 CmodAA 生物合成途径
  • 批准号:
    2310177
  • 财政年份:
    2023
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand
合作研究:NRI:机器人假手智能皮肤
  • 批准号:
    2221102
  • 财政年份:
    2022
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
CAREER: DeepTrust: Enabling Robust Machine Learning with Exogenous Information
职业:DeepTrust:利用外源信息实现稳健的机器学习
  • 批准号:
    2046726
  • 财政年份:
    2021
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Continuing Grant
ATD: Statistical and Machine Learning Methods for Studying the Dynamics of Weather and Climate Extremes
ATD:研究天气和极端气候动态的统计和机器学习方法
  • 批准号:
    2124576
  • 财政年份:
    2021
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
Collaborative Research: Spatiotemporal Dynamics of Interacting Bacterial Communities in Compact Colonies
合作研究:紧密菌落中相互作用的细菌群落的时空动态
  • 批准号:
    2029574
  • 财政年份:
    2020
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
Sorting and Assembly of Nanomaterials on Polymer Substrates Using Fluidic and Weak Ultrasound Fields for Fabrication of Flexible Electronic Devices
使用流体和弱超声场在聚合物基底上分类和组装纳米材料以制造柔性电子器件
  • 批准号:
    2003077
  • 财政年份:
    2020
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
AF: Small: Collaborative Research: Rigorous Approaches for Scalable Privacy-preserving Deep Learning
AF:小型:协作研究:可扩展的隐私保护深度学习的严格方法
  • 批准号:
    1910100
  • 财政年份:
    2019
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
Travel Support for Student Participation at the 2018 ASME-IMECE Micro and Nano Technology Forum; Pittsburgh, PA, November 12-15, 2018
为学生参加2018年ASME-IMECE微纳米技术论坛提供差旅支持;
  • 批准号:
    1854005
  • 财政年份:
    2018
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Standard Grant
ATD: Collaborative Research: Predicting the Threat of Vector-Borne Illnesses Using Spatiotemporal Weather Patterns
ATD:合作研究:利用时空天气模式预测媒介传播疾病的威胁
  • 批准号:
    1830312
  • 财政年份:
    2018
  • 资助金额:
    $ 39.99万
  • 项目类别:
    Continuing Grant

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