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唑来膦酸体外细胞摄取及异戊烯基焦磷酸积累的数学模型

A Mathematical Model of In Vitro Cellular Uptake of Zoledronic Acid and Isopentenyl Pyrophosphate Accumulation.

作者信息

Lo Presti Elena, D'Orsi Laura, De Gaetano Andrea

机构信息

CNR-IRIB (Institute for Biomedical Research and Innovation), National Research Council, Via Ugo La Malfa 153, 90146 Palermo, Italy.

CNR-IASI BioMatLab (Institute of Analysis, Systems and Computer Science), National Research Council, Via dei Taurini 19, 00185 Rome, Italy.

出版信息

Pharmaceutics. 2022 Jun 14;14(6):1262. doi: 10.3390/pharmaceutics14061262.

Abstract

The mevalonate pathway is an attractive target for many areas of research, such as autoimmune disorders, atherosclerosis, Alzheimer's disease and cancer. Indeed, manipulating this pathway results in the alteration of malignant cell growth with promising therapeutic potential. There are several pharmacological options to block the mevalonate pathway in cancer cells, one of which is zoledronic acid (ZA) (an N-bisphosphonate (N-BP)), which inhibits the farnesyl pyrophosphate (FPP) synthase enzyme, inducing cell cycle arrest, apoptosis, inhibition of protein prenylation, and cholesterol reduction, as well as leading to the accumulation of isopentenyl pyrophosphate (IPP). We extrapolated the data based on two independently published papers that provide numerical data on the uptake of zoledronic acid (ZA) and the accumulation of IPP (Ag) and its isomer over time by using in vitro human cell line models. Two different mathematical models for IPP kinetics are proposed. The first model (Model 1) is a simpler ordinary differential equation (ODE) compartmental system composed of 3 equations with 10 parameters; the second model (Model 2) is a differential algebraic equation (DAE) system with 4 differential equations, 1 algebraic equation and 13 parameters incorporating the formation of the ZA+enzyme+Ag complex. Each of the two models aims to describe two different experimental situations (continuous and pulse experiments) with the same ZA kinetics. Both models fit the collected data very well. With Model 1, we obtained a prevision accumulation of IPP after 24 h of 169.6 pmol/mgprot/h with an IPP decreasing rate per (pmol/mgprot) of ZA (kXGZ) equal to 13.24/h. With Model 2, we have comprehensive kinetics of IPP upon ZA treatment. We calculate that the IPP concentration was equal to 141.6 pmol/mgprot/h with a decreasing rate/percentage of 0.051 (kXGU). The present study is the first to quantify the influence of ZA on the pharmacodynamics of IPP. While still incorporating a small number of parameters, Model 2 better represents the complexity of the biological behaviour for calculating the IPP produced in different situations, such as studies on γδ T cell-based immunotherapy. In the future, additional clinical studies are warranted to further evaluate and fine-tune dosing approaches.

摘要

甲羟戊酸途径是许多研究领域颇具吸引力的靶点,如自身免疫性疾病、动脉粥样硬化、阿尔茨海默病和癌症。事实上,操控该途径会导致恶性细胞生长改变,具有可观的治疗潜力。有多种药理学方法可阻断癌细胞中的甲羟戊酸途径,其中之一是唑来膦酸(ZA)(一种N - 双膦酸盐(N - BP)),它抑制法尼基焦磷酸(FPP)合酶,诱导细胞周期停滞、凋亡、抑制蛋白质异戊二烯化、降低胆固醇,并导致异戊烯基焦磷酸(IPP)积累。我们基于两篇独立发表的论文推断数据,这两篇论文通过体外人细胞系模型提供了唑来膦酸(ZA)摄取以及IPP(Ag)及其异构体随时间积累的数值数据。提出了两种不同的IPP动力学数学模型。第一个模型(模型1)是一个由3个方程和10个参数组成的更简单的常微分方程(ODE)隔室系统;第二个模型(模型2)是一个微分代数方程(DAE)系统,有4个微分方程、一个代数方程和13个参数,纳入了ZA + 酶 + Ag复合物的形成。这两个模型各自旨在用相同的ZA动力学描述两种不同的实验情况(连续和脉冲实验)。两个模型都能很好地拟合收集到的数据。对于模型1,我们得到24小时后IPP的预测积累量为169.6 pmol/mgprot/h,每(pmol/mgprot)ZA的IPP降低速率(kXGZ)等于13.24/h。对于模型2,我们得到了ZA处理后IPP的综合动力学。我们计算出IPP浓度等于141.6 pmol/mgprot/h,降低速率/百分比为0.051(kXGU)。本研究首次量化了ZA对IPP药效学的影响。虽然模型2仍包含少量参数,但它能更好地体现计算不同情况下产生的IPP时生物学行为的复杂性,如基于γδT细胞的免疫治疗研究。未来,有必要进行更多临床研究以进一步评估和微调给药方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b63d/9227399/a7d986e1d9ca/pharmaceutics-14-01262-g001.jpg

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