sFLT1分泌动力学的机制性计算建模

Mechanistic computational modeling of sFLT1 secretion dynamics.

作者信息

Gill Amy, Kinghorn Karina, Bautch Victoria L, Mac Gabhann Feilim

机构信息

Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America.

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.

出版信息

PLoS Comput Biol. 2025 Aug 18;21(8):e1013324. doi: 10.1371/journal.pcbi.1013324. eCollection 2025 Aug.

Abstract

Constitutively secreted by endothelial cells, soluble FLT1 (sFLT1 or sVEGFR1) binds and sequesters extracellular vascular endothelial growth factors (VEGF), thereby reducing VEGF binding to VEGF receptor tyrosine kinases and their downstream signaling. In doing so, sFLT1 plays an important role in vascular development and in the patterning of new blood vessels in angiogenesis. Here, we develop multiple mechanistic models of sFLT1 secretion and identify a minimal mechanistic model that recapitulates key qualitative and quantitative features of temporal experimental datasets of sFLT1 secretion from multiple studies. We show that the experimental data on sFLT1 secretion is best represented by a delay differential equation (DDE) system including a maturation term, reflecting the time required between synthesis and secretion. Using optimization to identify appropriate values for the key mechanistic parameters in the model, we show that two model parameters (extracellular degradation rate constant and maturation time) are very strongly constrained by the experimental data, and that the remaining parameters are related by two strongly constrained constants. Thus, only one degree of freedom remains, and measurements of the intracellular levels of sFLT1 would fix the remaining parameters. Comparison between simulation predictions and additional experimental data of the outcomes of chemical inhibitors and genetic perturbations suggest that intermediate values of the secretion rate constant best match the simulation with experiments, which would completely constrain the model. However, some of the inhibitors tested produce results that cannot be reproduced by the model simulations, suggesting that additional mechanisms not included here are required to explain those inhibitors. Overall, the model reproduces most available experimental data and suggests targets for further quantitative investigation of the sFLT1 system.

摘要

可溶性FLT1(sFLT1或sVEGFR1)由内皮细胞组成性分泌,它结合并隔离细胞外血管内皮生长因子(VEGF),从而减少VEGF与VEGF受体酪氨酸激酶及其下游信号的结合。在此过程中,sFLT1在血管发育和血管生成中新血管的形成模式中发挥重要作用。在这里,我们开发了多种sFLT1分泌的机制模型,并确定了一个最小机制模型,该模型概括了来自多项研究的sFLT1分泌时间实验数据集的关键定性和定量特征。我们表明,sFLT1分泌的实验数据最好由一个包含成熟项的延迟微分方程(DDE)系统来表示,该成熟项反映了合成与分泌之间所需的时间。通过优化来确定模型中关键机制参数的合适值,我们表明两个模型参数(细胞外降解速率常数和成熟时间)受到实验数据的强烈约束,并且其余参数由两个强约束常数相关联。因此,只剩下一个自由度,并且对sFLT1细胞内水平的测量将确定其余参数。化学抑制剂和基因扰动结果的模拟预测与额外实验数据之间的比较表明,分泌速率常数的中间值与实验模拟最匹配,这将完全约束模型。然而,一些测试的抑制剂产生的结果无法通过模型模拟重现,这表明需要这里未包括的其他机制来解释这些抑制剂。总体而言,该模型重现了大多数可用的实验数据,并为sFLT1系统的进一步定量研究提出了目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dda/12370208/a9b39d2038b4/pcbi.1013324.g001.jpg

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