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阿片受体信号网络。

Opioid receptors signaling network.

作者信息

Gopalakrishnan Lathika, Chatterjee Oishi, Ravishankar Namitha, Suresh Sneha, Raju Rajesh, Mahadevan Anita, Prasad T S Keshava

机构信息

Institute of Bioinformatics, International Tech Park, Bangalore, 560 066, India.

Manipal Academy of Higher Education (MAHE), Manipal, 576 104, India.

出版信息

J Cell Commun Signal. 2022 Sep;16(3):475-483. doi: 10.1007/s12079-021-00653-z. Epub 2021 Nov 1.

Abstract

Opioid receptors belong to the class A G-protein-coupled receptors and are activated by alkaloid opiates such as morphine, and endogenous ligands such as endorphins and enkephalins. Opioid receptors are widely distributed in the human body and are involved in numerous physiological processes through three major classical opioid receptor subtypes; the mu, delta and kappa along with a lesser characterized subtype, opioid receptor-like (ORL1). Opioids are the most potent analgesics and have been extensively used as a therapeutic drug for the treatment of pain and related disorders. Chronic administration of clinically used opioids is associated with adverse effects such as drug tolerance, addiction and constipation. Several investigations attempted to identify the molecular signaling networks associated with endogenous as well as synthetic opiates, however, there is a paucity of a cumulative depiction of these signaling events. Here, we report a systemic collection of downstream molecules pertaining to four subtypes of opioid receptors (MOR, KOR, DOR and ORL1) in the form of a signaling pathway map. We manually curated reactions induced by the activation of opioid receptors from the literature into five categories- molecular association, activation/inhibition, catalysis, transport, and gene regulation. This led to a dataset of 180 molecules, which is collectively represented in the opioid receptor signaling network following NetPath criteria. We believe that the public availability of an opioid receptor signaling pathway map can accelerate biomedical research in this area because of its high therapeutic significance. The opioid receptors signaling pathway map is uploaded to a freely available web resource, WikiPathways enabling ease of access ( https://www.wikipathways.org/index.php/Pathway:WP5093 ).

摘要

阿片受体属于A类G蛋白偶联受体,可被吗啡等生物碱阿片类物质以及内啡肽和脑啡肽等内源性配体激活。阿片受体广泛分布于人体中,并通过三种主要的经典阿片受体亚型(μ、δ和κ)以及一种特征较少的亚型——阿片样受体(ORL1)参与众多生理过程。阿片类药物是最有效的镇痛药,已被广泛用作治疗疼痛及相关疾病的治疗药物。长期使用临床常用的阿片类药物会产生诸如药物耐受性、成瘾和便秘等不良反应。多项研究试图确定与内源性以及合成阿片类物质相关的分子信号网络,然而,对这些信号事件缺乏累积性描述。在此,我们以信号通路图的形式报告了与四种阿片受体亚型(MOR、KOR、DOR和ORL1)相关的下游分子的系统性集合。我们从文献中手动筛选出由阿片受体激活诱导的反应,并将其分为五类——分子缔合、激活/抑制、催化、转运和基因调控。这产生了一个包含180个分子的数据集,该数据集按照NetPath标准共同呈现在阿片受体信号网络中。我们认为,由于其具有高度的治疗意义,阿片受体信号通路图的公开可用性可以加速该领域的生物医学研究。阿片受体信号通路图已上传至一个免费的网络资源WikiPathways,便于访问(https://www.wikipathways.org/index.php/Pathway:WP5093)。

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