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Predicting cell deformation from body level mechanical loads

Predicting cell deformation from body level mechanical loads
根据身体机械负荷预测细胞变形
批准号:
7900555
负责人:
AHMET ERDEMIR
金额:
$44.29万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-08-01 至 2013-07-31

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中文摘要
翻译
描述(由申请人提供):已知肌肉骨骼系统的细胞对变形有生物学反应。当变形的幅度、持续时间和/或频率异常时,可导致细胞损伤,并可能破坏细胞外基质的动态平衡。这些机制可以以孤立的方式进行研究,但将机械细胞反应与器官水平的机制和人类运动联系起来需要多尺度的方法。在器官层面,医生进行外科手术,调查人员试图了解受伤的风险,临床医生开出预防和治疗干预措施。其中许多操作的目的是管理和预防细胞损伤,并将联合水平的失效机械标志与细胞水平的失效机制联系起来。通过人体运动,探索神经肌肉控制机制和体力活动对肌肉骨骼组织特性的影响。在较低的水平上,细胞变形的机械感觉调节着运动控制。规定的身体康复和运动养生法通过细胞再生促进组织愈合和/或增强。对机械途径的了解是各种干预成功的关键,通过机械途径,身体水平的负荷在器官之间分配,然后在组织内,并沿着细胞外基质和细胞进一步分配。然而,这一信息并未得到证实。这项研究计划的目标是描述作用于人体的载荷对细胞变形的预测,因此,如果使用多尺度模拟方法,则可以清楚地描述机械途径。代表关节、组织和细胞结构和力学的膝关节多分辨率模型将为此目的而发展。膝关节的软组织结构承受着很高的创伤性损伤,并且主要受骨关节炎的影响,骨关节炎是由机械负荷异常或如何将其转移到软骨而引起的。通过这些模型的多尺度力学耦合,将得到在不同的胫股关节载荷下软骨、韧带和半月板的细胞变形图。将在关节、组织和细胞水平进行全面的力学测试,以进行参数估计和验证,包括代表逼真加载场景的膝关节的体外加载。此外,成像设备将从细胞和细胞外基质中捕捉关节和组织解剖以及空间和变形相关信息。将使用先进的计算方法来获取模型属性并促进多尺度模拟。该方法将结合许多在生物力学建模和各种生物规模的实验方面经验丰富的研究人员的专业知识,其中一些人具有临床专业知识。未来,研究小组将利用这一平台建立膝关节的结构和负荷状态与软骨细胞应力之间的关系,以探索软骨退化的潜在机制。通过以文件形式传播数据和模型,任何感兴趣的调查者都可以模拟其他病理并将方法翻译到其他器官。公共卫生相关性:预测细胞变形的项目叙事可能性促进了对从器官到组织再到细胞的机械载荷转移方案的充分理解,特别是当作用于人体的载荷可以通过现成的实验平台测量时。这些方案可以确定与这些机制相关的病理的结构和机械因果关系,并提供特定于受试者的机械诱导细胞损伤风险评估。从长远来看,拟议的多尺度建模平台将通过设计直接针对细胞力学的外科、治疗和康复干预措施来促进公共卫生保健,以恢复各种生物尺度的机械功能。
英文摘要
DESCRIPTION (provided by applicant): Project Summary Cells of the musculoskeletal system are known to have a biological response to deformation. Deformations, when abnormal in magnitude, duration, and/or frequency content, can lead to cell damage and possible disruption in homeostasis of the extracellular matrix. These mechanisms can be studied in an isolated fashion but connecting mechanical cellular response to organ level mechanics and human movement requires a multiscale approach. At the organ level, physicians perform surgical procedures, investigators try to understand risk of injury, and clinicians prescribe preventive and therapeutic interventions. Many of these operations are aimed at management and prevention of cell damage, and to associate joint level mechanical markers of failure to cell level failure mechanisms. Through human movement, one explores neuromuscular control mechanisms and the influence of physical activity on musculoskeletal tissue properties. At a lower level, mechanical sensation of cell deformations regulate movement control. Physical rehabilitation and exercise regimens are prescribed to promote tissue healing and/or strengthening through cellular regeneration. The knowledge of the mechanical pathway, through which the body level loads are distributed between organs, then within the tissues and further along the extracellular matrix and the cells, is critical for the success of various interventions. However, this information is not established. The goal of this research proposal is to portray that prediction of cell deformations from loads acting on the human body, therefore a clear depiction of the mechanical pathway, is possible, if a multiscale simulation approach is used. Multiresolution models of the knee joint, representative of joint, tissue and cell structure and mechanics, will be developed for this purpose. The knee endures high rates of traumatic injury to its soft tissue structures and it is predominantly affected by osteoarthritis, chronically induced by abnormalities in mechanical loading or how it is transferred to the cartilage. Through multiscale mechanical coupling of these models, a map of cellular deformation in cartilage, ligaments and menisci under a variety of tibiofemoral joint loads will be obtained. Comprehensive mechanical testing at joint, tissue and cell levels will be conducted for parameter estimation and validation, including in vitro loading of the knee joint representative of lifelike loading scenarios. In addition, imaging modalities will capture joint and tissue anatomy, and spatial and deformation related information from cell and extracellular matrix. Advanced computational approaches will be used to obtain model properties and to facilitate multiscale simulations. The approach will combine the expertise of many investigators experienced in biomechanical modeling and experimentation at various biological scales, some with clinical expertise. In future, the research team will utilize this platform to establish the relationship between the structural and loading state of the knee and chondrocyte stresses to explore potential mechanisms of cartilage degeneration. Through documented dissemination of data and models, simulations of other pathologies and translation of the methodology to other organs can be carried out by any interested investigator. PUBLIC HEALTH RELEVANCE: Project Narrative Possibility to predict cell deformations promotes a full understanding of the mechanical load transfer schemes from organ to tissue to cell, particularly when the loads acting on the human body are measurable by readily available experimental platforms. The protocols can identify structural and mechanical causalities of the pathologies associated with these mechanisms, and provide subject-specific assessment of the risk of mechanically induced cell damage. In long term, the proposed multiscale modeling platform will advance public health care through the design of surgical, therapeutic and rehabilitative interventions directly targeted at cell mechanics in order to restore mechanical function at various biological scales.
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Reproducibility in simulation-based prediction of natural knee mechanics
  • 批准号:
    10655984
  • 项目类别:
  • 资助金额:
    $66.1万
  • 财政年份:
    2023
  • 负责人:
    AHMET ERDEMIR
  • 依托单位:
Software for Practical Annotation and Exchange of Virtual Anatomy
  • 批准号:
    10159899
  • 项目类别:
  • 资助金额:
    $84.55万
  • 财政年份:
    2019
  • 负责人:
    AHMET ERDEMIR
  • 依托单位:
Software for Practical Annotation and Exchange of Virtual Anatomy
  • 批准号:
    10448473
  • 项目类别:
  • 资助金额:
    $84.42万
  • 财政年份:
    2019
  • 负责人:
    AHMET ERDEMIR
  • 依托单位:
Reproducibility in simulation-based prediction of natural knee mechanics
  • 批准号:
    10004617
  • 项目类别:
  • 资助金额:
    $62.54万
  • 财政年份:
    2017
  • 负责人:
    AHMET ERDEMIR
  • 依托单位:
海外基金