• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

无模型和动力学建模方法用于描述非平衡药理学途径的活性:大麻素 CB 受体的内化。

Model-free and kinetic modelling approaches for characterising non-equilibrium pharmacological pathway activity: Internalisation of cannabinoid CB receptors.

机构信息

Otago Pharmacometrics Group, School of Pharmacy, University of Otago, Dunedin, New Zealand.

Department of Pharmacology and Toxicology, University of Otago, Dunedin, New Zealand.

出版信息

Br J Pharmacol. 2019 Jul;176(14):2593-2607. doi: 10.1111/bph.14684. Epub 2019 May 21.

DOI:10.1111/bph.14684
PMID:30945265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6592866/
Abstract

BACKGROUND AND PURPOSE

Receptor internalisation is by nature kinetic. Application of a standard equilibrium dose response model to describe the properties of a ligand inducing internalisation, while commonly used, are therefore problematic. Here, we propose two quantitative approaches to address this issue-(a) a model-free method and (b) a kinetic modelling approach-and systematically evaluate the performance of these methods against traditional equilibrium methods to characterise the internalisation profiles of cannabinoid CB receptor agonists.

EXPERIMENTAL APPROACH

Kinetic internalisation assays were conducted using a concentration series of six CB receptor ligands. Internalisation rate analysis and snapshot equilibrium analysis were performed. A model-free method was developed based on the mean residence time of internalisation. A kinetic internalisation model was developed under the quasi-steady state assumption.

KEY RESULTS

Rates of receptor internalisation depended on both agonist and concentration. Agonist potencies from snapshot equilibrium analysis increased with stimulation time, and there was no single time point at which internalisation profiles could infer agonist properties in a comparative manner. The model-free method yielded a time-invariant measure of potency/efficacy for internalisation. The kinetic model adequately described the internalisation of CB receptors over time and provided robust estimates of both potency and efficacy.

CONCLUSION AND IMPLICATIONS

Applying equilibrium analysis to a non-equilibrium pathway cannot provide a reliable estimate of agonist potency. Both the model-free and kinetic modelling approaches characterised the internalisation profiles of CB receptor agonists. The kinetic model provides additional advantages as a method to capture changes in receptor number during other functional assays.

摘要

背景与目的

受体内化本质上是动力学的。应用标准平衡剂量反应模型来描述诱导内化的配体的特性,虽然常用,但存在问题。在这里,我们提出了两种定量方法来解决这个问题——(a)无模型方法和(b)动力学建模方法,并系统地评估这些方法对传统平衡方法的性能,以表征大麻素 CB 受体激动剂的内化曲线。

实验方法

使用六个 CB 受体配体的浓度系列进行了动力学内化测定。进行了内化率分析和快照平衡分析。基于内化的平均停留时间,开发了一种无模型方法。在准稳态假设下,开发了一种动力学内化模型。

主要结果

受体内化的速度取决于激动剂和浓度。从快照平衡分析得出的激动剂效力随着刺激时间的增加而增加,没有单一的时间点可以以比较的方式推断内化曲线的激动剂性质。无模型方法提供了一种对内化的效力/功效的时不变测量。动力学模型能够很好地描述 CB 受体随时间的内化,并提供了对效力和功效的稳健估计。

结论和意义

将平衡分析应用于非平衡途径不能可靠地估计激动剂的效力。无模型和动力学建模方法都能描述 CB 受体激动剂的内化曲线。动力学模型作为一种在其他功能测定中捕获受体数量变化的方法具有额外的优势。

相似文献

1
Model-free and kinetic modelling approaches for characterising non-equilibrium pharmacological pathway activity: Internalisation of cannabinoid CB receptors.无模型和动力学建模方法用于描述非平衡药理学途径的活性:大麻素 CB 受体的内化。
Br J Pharmacol. 2019 Jul;176(14):2593-2607. doi: 10.1111/bph.14684. Epub 2019 May 21.
2
Evaluation of the profiles of CB cannabinoid receptor signalling bias using joint kinetic modelling.使用联合动力学建模评估 CB 大麻素受体信号转导偏倚的特征。
Br J Pharmacol. 2020 Aug;177(15):3449-3463. doi: 10.1111/bph.15066. Epub 2020 May 15.
3
Signalling profiles of a structurally diverse panel of synthetic cannabinoid receptor agonists.结构多样的合成大麻素受体激动剂的信号转导谱。
Biochem Pharmacol. 2020 May;175:113871. doi: 10.1016/j.bcp.2020.113871. Epub 2020 Feb 21.
4
Insight into the mechanism of action of ORG27569 at the cannabinoid type one receptor utilising a unified mathematical model.利用统一的数学模型深入了解大麻素类型 1 受体上 ORG27569 的作用机制。
Naunyn Schmiedebergs Arch Pharmacol. 2024 Jul;397(7):5105-5118. doi: 10.1007/s00210-023-02923-6. Epub 2024 Jan 16.
5
Exploring determinants of agonist efficacy at the CB1 cannabinoid receptor: Analogues of the synthetic cannabinoid receptor agonist EG-018.探讨 CB1 大麻素受体激动剂效能的决定因素:合成大麻素受体激动剂 EG-018 的类似物。
Pharmacol Res Perspect. 2022 Feb;10(1):e00901. doi: 10.1002/prp2.901.
6
A kinetic model for positive allosteric modulator (PAM)-antagonists for the type 1 cannabinoid (CB ) receptor.一种用于 1 型大麻素(CB1)受体的正变构调节剂(PAM)拮抗剂的动力学模型。
Br J Pharmacol. 2023 Oct;180(20):2661-2676. doi: 10.1111/bph.16158. Epub 2023 Jul 2.
7
Exploring the Ligand Efficacy of Cannabinoid Receptor 1 (CB1) using Molecular Dynamics Simulations.探究大麻素受体 1(CB1)的配体效力:分子动力学模拟研究。
Sci Rep. 2018 Sep 13;8(1):13787. doi: 10.1038/s41598-018-31749-z.
8
Translation of in vitro cannabinoid 1 receptor agonist activity to in vivo pharmacodynamic endpoints.将体外大麻素 1 受体激动剂活性转化为体内药效终点。
J Pharmacol Toxicol Methods. 2020 Jul-Aug;104:106899. doi: 10.1016/j.vascn.2020.106899. Epub 2020 Jul 21.
9
In vitro activity profiling of Cumyl-PEGACLONE variants at the CB receptor: Fluorination versus isomer exploration.在 CB 受体上对 Cumyl-PEGACLONE 变体进行体外活性分析:氟化与异构体探索。
Drug Test Anal. 2020 Sep;12(9):1336-1343. doi: 10.1002/dta.2870. Epub 2020 Jul 3.
10
Contrasting effects of different cannabinoid receptor ligands on mouse ingestive behaviour.不同大麻素受体配体对小鼠摄食行为的对比效应。
Behav Pharmacol. 2012 Sep;23(5-6):551-9. doi: 10.1097/FBP.0b013e328356c3dc.

引用本文的文献

1
Insight into the mechanism of action of ORG27569 at the cannabinoid type one receptor utilising a unified mathematical model.利用统一的数学模型深入了解大麻素类型 1 受体上 ORG27569 的作用机制。
Naunyn Schmiedebergs Arch Pharmacol. 2024 Jul;397(7):5105-5118. doi: 10.1007/s00210-023-02923-6. Epub 2024 Jan 16.
2
SGIP1 in axons prevents internalization of desensitized CB1R and modifies its function.轴突中的SGIP1可防止脱敏的CB1R内化并改变其功能。
Front Neurosci. 2023 Jul 20;17:1213094. doi: 10.3389/fnins.2023.1213094. eCollection 2023.
3
Kinetic insights into agonist-dependent signalling bias at the pro-inflammatory G-protein coupled receptor GPR84.激动剂依赖性信号偏倚在促炎 G 蛋白偶联受体 GPR84 中的动力学见解。
Eur J Pharmacol. 2023 Oct 5;956:175960. doi: 10.1016/j.ejphar.2023.175960. Epub 2023 Aug 3.
4
In Vitro Characterization of 6-Methyl-3-(2-nitro-1-(thiophen-2-yl)ethyl)-2-phenyl-1-indole (ZCZ011) at the Type 1 Cannabinoid Receptor: Allosteric Agonist or Allosteric Modulator?6-甲基-3-(2-硝基-1-(噻吩-2-基)乙基)-2-苯基-1-吲哚(ZCZ011)在1型大麻素受体上的体外特性研究:变构激动剂还是变构调节剂?
ACS Pharmacol Transl Sci. 2022 Nov 22;5(12):1279-1291. doi: 10.1021/acsptsci.2c00160. eCollection 2022 Dec 9.
5
Kinetic analysis of endogenous β -adrenoceptor-mediated cAMP GloSensor™ responses in HEK293 cells.内源性β-肾上腺素能受体介导的 cAMP GloSensor™ 反应在 HEK293 细胞中的动力学分析。
Br J Pharmacol. 2023 May;180(10):1304-1315. doi: 10.1111/bph.16008. Epub 2023 Jan 6.
6
Quantifying the Kinetics of Signaling and Arrestin Recruitment by Nervous System G-Protein Coupled Receptors.量化神经系统G蛋白偶联受体的信号转导动力学及抑制蛋白募集情况
Front Cell Neurosci. 2022 Jan 17;15:814547. doi: 10.3389/fncel.2021.814547. eCollection 2021.
7
Analyzing kinetic signaling data for G-protein-coupled receptors.分析 G 蛋白偶联受体的动力学信号转导数据。
Sci Rep. 2020 Jul 23;10(1):12263. doi: 10.1038/s41598-020-67844-3.
8
Evaluation of the profiles of CB cannabinoid receptor signalling bias using joint kinetic modelling.使用联合动力学建模评估 CB 大麻素受体信号转导偏倚的特征。
Br J Pharmacol. 2020 Aug;177(15):3449-3463. doi: 10.1111/bph.15066. Epub 2020 May 15.
9
100 years of modelling ligand-receptor binding and response: A focus on GPCRs.100年的配体-受体结合与反应建模:聚焦于G蛋白偶联受体
Br J Pharmacol. 2020 Apr;177(7):1472-1484. doi: 10.1111/bph.14988. Epub 2020 Feb 28.
10
Do Toxic Synthetic Cannabinoid Receptor Agonists Have Signature in Vitro Activity Profiles? A Case Study of AMB-FUBINACA.有毒合成大麻素受体激动剂是否具有特征性的体外活性特征?以 AMB-FUBINACA 为例。
ACS Chem Neurosci. 2019 Oct 16;10(10):4350-4360. doi: 10.1021/acschemneuro.9b00429. Epub 2019 Sep 24.

本文引用的文献

1
Evaluation of Assumptions Underpinning Pharmacometric Models.评价药物动力学模型的基本假设。
AAPS J. 2019 Aug 5;21(5):97. doi: 10.1208/s12248-019-0366-2.
2
Internalization of G-protein-coupled receptors: Implication in receptor function, physiology and diseases.G 蛋白偶联受体内化:在受体功能、生理学和疾病中的意义。
Best Pract Res Clin Endocrinol Metab. 2018 Apr;32(2):83-91. doi: 10.1016/j.beem.2018.01.004. Epub 2018 Feb 6.
3
Experimental design and analysis and their reporting II: updated and simplified guidance for authors and peer reviewers.实验设计与分析及其报告(二):给作者和同行评审者的更新且简化的指南
Br J Pharmacol. 2018 Apr;175(7):987-993. doi: 10.1111/bph.14153.
4
Kinetic operational models of agonism for G-protein-coupled receptors.G蛋白偶联受体激动作用的动力学操作模型
J Theor Biol. 2018 Jun 7;446:168-204. doi: 10.1016/j.jtbi.2018.02.014. Epub 2018 Feb 25.
5
Biased signalling: from simple switches to allosteric microprocessors.偏向信号传导:从简单的开关到别构微处理器。
Nat Rev Drug Discov. 2018 Apr;17(4):243-260. doi: 10.1038/nrd.2017.229. Epub 2018 Jan 5.
6
The IUPHAR/BPS Guide to PHARMACOLOGY in 2018: updates and expansion to encompass the new guide to IMMUNOPHARMACOLOGY.2018 年 IUPHAR/BPS 药理学指南:更新和扩展,以包含新的免疫药理学指南。
Nucleic Acids Res. 2018 Jan 4;46(D1):D1091-D1106. doi: 10.1093/nar/gkx1121.
7
THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: G protein-coupled receptors.《药理学 2017/18 简明指南:G 蛋白偶联受体》
Br J Pharmacol. 2017 Dec;174 Suppl 1(Suppl Suppl 1):S17-S129. doi: 10.1111/bph.13878.
8
Gα signalling of the CB receptor and the influence of receptor number.大麻素受体的Gα信号传导及受体数量的影响。
Br J Pharmacol. 2017 Aug;174(15):2545-2562. doi: 10.1111/bph.13866. Epub 2017 Jun 19.
9
Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.模型引导的药物发现与开发中的良好实践:实践、应用与文档记录
CPT Pharmacometrics Syst Pharmacol. 2016 Mar;5(3):93-122. doi: 10.1002/psp4.12049. Epub 2016 Mar 14.
10
GPR18 undergoes a high degree of constitutive trafficking but is unresponsive to N-Arachidonoyl Glycine.GPR18经历高度的组成型转运,但对N-花生四烯酰甘氨酸无反应。
PeerJ. 2016 Mar 21;4:e1835. doi: 10.7717/peerj.1835. eCollection 2016.