体外血浆活化机理模型,用于评估治疗性 Kallikrein-kinin 系统抑制剂。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-11-04 DOI:10.1371/journal.pcbi.1012552
Alireza Rezvani-Sharif, Hadi Lioe, Steven K Dower, Matthias Pelzing, Con Panousis, Dalton J E Harvie, Ineke L Muir
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引用次数: 0

摘要

背景:Kallikrein-kinin 系统(KKS)是一种复杂的生化途径,在调节炎症、凝血和血压等多个生理过程中发挥着至关重要的作用。KKS 的失调与遗传性血管性水肿(HAE)、高血压和中风等多种病症有关。建立一个精确的 KKS 定量模型可以让人们更好地了解 KKS 在健康和疾病中的作用,并促进针对 KKS 相关疾病的有效疗法的快速、有针对性的开发:在此,我们提出了一个新颖、详细的血浆 KKS 机理模型,阐明了因子 XII (FXII) 激活、激肽原反馈回路、高分子量激肽原裂解导致缓激肽 (BK) 生成的过程以及抑制剂的影响:该模型包含了 KKS 中所有蛋白质的表面反应和溶液相反应,描述了结合位点浓度如何影响表面反应速率。该模型利用各种已发表和内部实验数据集进行了校准和验证,这些数据集包括一定范围的右旋糖酐硫酸盐(DXS)浓度以启动接触活化,以及各种 KKS 抑制剂以阻止缓激肽的产生:我们的数学模型显示,后续的 FXII 激活需要微量的活化 FXII。该模型还揭示了 KKS 激活与 DXS 表面结合位点数量之间的钟形曲线关系。健康血浆和 HAE 血浆中 BK 生成的模拟结果表明,缺乏 C1 酯酶抑制剂(C1inh)会增加 BK 的峰值水平,并加速 HAE 血浆中 BK 的形成。此外,还评估了 CSL312、ecallantide 和 C1inh 等 KKS 抑制剂的功效,其中 CSL312 对 BK 生成的抑制作用最强:本模型为研究血浆 KKS 内部错综复杂的相互作用提供了一个宝贵的框架,有助于更好地了解各种 KKS 靶向疗法的作用机制。
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A mechanistic model of in vitro plasma activation to evaluate therapeutic kallikrein-kinin system inhibitors.

Background: The kallikrein-kinin system (KKS) is a complex biochemical pathway that plays a crucial role in regulating several physiological processes, including inflammation, coagulation, and blood pressure. Dysregulation of the KKS has been associated with several pathological conditions such as hereditary angioedema (HAE), hypertension, and stroke. Developing an accurate quantitative model of the KKS may provide a better understanding of its role in health and disease and facilitate the rapid and targeted development of effective therapies for KKS-related disorders.

Objectives: Here, we present a novel, detailed mechanistic model of the plasma KKS, elucidating the processes of Factor XII (FXII) activation, the kallikrein feedback loop, cleavage of high molecular weight kininogen leading to bradykinin (BK) production, and the impact of inhibitors.

Methods: The model incorporates both surface and solution-phase reactions of all proteins in the KKS, describing how binding site concentration affects the rate of surface reactions. The model was calibrated and validated using a variety of published and in-house experimental datasets, which encompass a range of dextran sulphate (DXS) concentrations to initiate contact activation and various KKS inhibitors to block bradykinin production.

Results: Our mathematical model showed that a trace amount of activated FXII is required for subsequent FXII activation. The model also reveals a bell-shaped curve relationship between the activation of the KKS and the number of DXS surface binding sites. Simulations of BK generation in healthy and HAE plasma demonstrated the impact of C1 esterase inhibitor (C1inh) deficiency via increased peak BK levels and accelerated formation in HAE plasma. The efficacy of KKS inhibitors, such as CSL312, ecallantide, and C1inh, was also evaluated, with CSL312 showing the most potent inhibition of BK generation.

Conclusions: The present model represents a valuable framework for studying the intricate interactions within the plasma KKS and provides a better understanding of the mechanism of action of various KKS-targeted therapies.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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