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慢性肾脏病-代谢性骨病的定量系统药理学模型的建立。

Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

机构信息

Department of Medicine, University of Louisville, Louisville, Kentucky.

Medical Services, Veterans Affairs North Texas Health Sciences Center, Dallas, Texas.

出版信息

Am J Physiol Renal Physiol. 2021 Feb 1;320(2):F203-F211. doi: 10.1152/ajprenal.00159.2020. Epub 2020 Dec 14.

DOI:10.1152/ajprenal.00159.2020
PMID:33308018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11163996/
Abstract

Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidney diseases, starting early in the course of disease and resulting in devastating clinical consequences ranging from bone fragility to accelerated atherosclerosis and early cardiovascular death. Guidelines for therapeutic goals for CKD-MBD have been published, and achievement of these guidelines is associated with improved survival. However, the incomplete understanding of CKD-MBD and the individual variability in the manifestations of CKD-MBD have made it difficult to achieve these guidelines. We hypothesized that the progression of MBD through all stages of CKD, including end-stage kidney disease, could be represented by a quantitative systems pharmacology/systems biology (QSP) model. To address this hypothesis, we constructed a QSP model of CKD-MBD, building on an open-source model of calcium and phosphorus metabolism. Specifically, we estimated and validated the model using data from 5,496 patients with CKD enrolled in the Chronic Renal Insufficiency Cohort study. Our model accurately predicted changes in markers of mineral metabolism related to progressing CKD. We demonstrated that the incorporation of fibroblast growth factor 23 and the soft tissue compartment is essential for accurate modeling of the changes in calcium, phosphorus, intact parathyroid hormone, and calcitriol in CKD-MBD. We conclude that our systems biology model accurately represents CKD-MBD disease progression and can be used as a test bench for improving therapeutic interventions.

摘要

慢性肾脏病矿物质和骨异常(CKD-MBD)是肾脏疾病几乎普遍存在的并发症,从疾病早期开始,导致破坏性的临床后果,从骨脆弱到加速动脉粥样硬化和心血管早期死亡。已经发布了 CKD-MBD 治疗目标的指南,并且这些指南的实现与生存改善相关。然而,对 CKD-MBD 的不完全理解和 CKD-MBD 表现的个体差异使得难以实现这些指南。我们假设,MBD 通过 CKD 的所有阶段的进展,包括终末期肾病,可以通过定量系统药理学/系统生物学(QSP)模型来表示。为了解决这个假设,我们构建了一个 CKD-MBD 的 QSP 模型,基于钙和磷代谢的开源模型。具体来说,我们使用来自慢性肾功能不全队列研究中 5496 名 CKD 患者的数据来估计和验证模型。我们的模型准确地预测了与 CKD 进展相关的矿物质代谢标志物的变化。我们证明,成纤维细胞生长因子 23 和软组织区室的纳入对于准确模拟 CKD-MBD 中钙、磷、全甲状旁腺激素和骨化三醇的变化是必不可少的。我们得出结论,我们的系统生物学模型准确地代表了 CKD-MBD 疾病的进展,可以作为改进治疗干预措施的测试平台。

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