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DESCRIPTION (provided by applicant): Chronic kidney disease (CKD) affects 14% of the U.S. population. CKD often includes damage to the kidney's filtration unit, the glomerulus, and such damage usually includes changes to the glomerular mesangium. Mesangial cells are known to respond to their immediate environment, including chemical and physical signals. Our understanding of the mesangial microenviroment is currently incomplete. The goal of the proposed study is to build a theoretical model of fluid and species transport throughout the mesangium. Building on the tradition established for glomerular capillary filtration by Deen and colleagues, I propose to build a model of transmural filtration through the mesangium. I will model plasma flow and macromolecular transport in the mesangium, apply this model to the specific case of IgA nephropathy, build a model of the stresses and strains in the mesangium, and incorporate biological feedback by allowing mesangial cells to contract in response to stretch. I will describe flow through the mesangial matrix using Darcy's Law, and flow in an adjacent glomerular capillary as Stokes flow. I will use finite-element analysis to solve the model equations in a single capillary, idealized as a straight tube, with its associated mesangium, idealized as a thin slab. Mesangial cells will also be modeled as rectangualr bodies, occupying the central portion of the mesangium. The results of this work will not provide not only a physical basis for understanding mesangial transport and filtration, but also a way to quantify the relative contribution of different parameters to mesangial accumulation. It will reveal the role of aberrant IgA glycosylation, alterations to mesangial cell receptors, and filtration fraction in causing macromolecular accumulation. These results will quantify the effects of proposed disease mechansims, which could suggest new treatment options, improving public health.
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多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    郑巧
  • 依托单位:
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    陈立达
  • 依托单位: