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糖尿病肾病中炎症性巨噬细胞与肾小球内皮细胞相互作用的基于逻辑的建模

Logic-based modeling of inflammatory macrophage cross talk with glomerular endothelial cells in diabetic kidney disease.

作者信息

Patidar Krutika, Ford Versypt Ashlee N

机构信息

Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York, United States.

Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York, United States.

出版信息

Am J Physiol Renal Physiol. 2025 Jul 1;329(1):F202-F224. doi: 10.1152/ajprenal.00362.2024. Epub 2025 May 26.

Abstract

Diabetic kidney disease is a complication in one out of three patients with diabetes. Aberrant glucose metabolism in diabetes leads to structural and functional damage in glomerular tissue and a systemic inflammatory immune response. Complex cellular signaling is at the core of metabolic and functional derangement. Unfortunately, the mechanism underlying the role of inflammation in glomerular endothelial cell dysfunction during diabetic kidney disease is not fully understood. Mathematical models in systems biology allow the integration of experimental evidence and cellular signaling networks to understand mechanisms involved in disease progression. This study developed a logic-based ordinary differential equations model to study inflammatory cross talk between macrophages and glomerular endothelial cells during diabetic kidney disease progression using a protein signaling network stimulated with glucose and lipopolysaccharide. This modeling approach reduced the biological parameters needed to study signaling networks. The model was fitted to and validated against available biochemical data from in vitro experiments. The model identified mechanisms for dysregulated signaling in macrophages and glomerular endothelial cells during diabetic kidney disease. In addition, the influence of signaling interactions on glomerular endothelial cell morphology through selective knockdown and downregulation was investigated. Simulation results showed that partial knockdown of VEGF receptor 1, PLC-γ, adherens junction proteins, and calcium partially improved intercellular junction integrity between glomerular endothelial cells. These findings contribute to understanding of signaling and molecular perturbations that affect glomerular endothelial cells in the early stage of diabetic kidney disease. This work provides a novel analysis of signaling cross talk between macrophages and glomerular endothelial cells in the early stage of diabetic kidney disease. A logic-based mathematical modeling approach identified vital signaling molecules and interactions that regulate glucose-mediated inflammation in glomerular endothelial cells and cause endothelial dysfunction in the diabetic kidney. Simulated interactions among vascular endothelial growth factor receptor 1, nitric oxide, and calcium significantly affected the intercellular junction proteins between glomerular endothelial cells.

摘要

糖尿病肾病是三分之一糖尿病患者的并发症。糖尿病中异常的葡萄糖代谢会导致肾小球组织的结构和功能损伤以及全身性炎症免疫反应。复杂的细胞信号传导是代谢和功能紊乱的核心。不幸的是,糖尿病肾病期间炎症在肾小球内皮细胞功能障碍中作用的潜在机制尚未完全了解。系统生物学中的数学模型允许整合实验证据和细胞信号网络,以了解疾病进展所涉及的机制。本研究开发了一种基于逻辑的常微分方程模型,以利用葡萄糖和脂多糖刺激的蛋白质信号网络,研究糖尿病肾病进展过程中巨噬细胞与肾小球内皮细胞之间的炎症相互作用。这种建模方法减少了研究信号网络所需的生物学参数。该模型与体外实验的现有生化数据进行拟合和验证。该模型确定了糖尿病肾病期间巨噬细胞和肾小球内皮细胞中信号失调的机制。此外,还研究了通过选择性敲低和下调信号相互作用对肾小球内皮细胞形态的影响。模拟结果表明,血管内皮生长因子受体1、磷脂酶C-γ、黏附连接蛋白和钙的部分敲低可部分改善肾小球内皮细胞之间的细胞间连接完整性。这些发现有助于理解在糖尿病肾病早期影响肾小球内皮细胞的信号传导和分子扰动。这项工作为糖尿病肾病早期巨噬细胞与肾小球内皮细胞之间的信号相互作用提供了新的分析。一种基于逻辑的数学建模方法确定了调节肾小球内皮细胞中葡萄糖介导的炎症并导致糖尿病肾病中内皮功能障碍的重要信号分子和相互作用。血管内皮生长因子受体1、一氧化氮和钙之间的模拟相互作用显著影响了肾小球内皮细胞之间的细胞间连接蛋白。

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