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自噬:开发有效镇痛药的新兴靶点。

Autophagy: An Emerging Target for Developing Effective Analgesics.

作者信息

Manivasakam Palaniyandi, Ravi Atchayaa, Ramesh Janani, Bhuvarahamurthy Divyarathna, Kasirajan Kalaiyarasi, Vijayapoopathi Singaravel, Venugopal Bhuvarahamurthy, Fliri Anton Franz

机构信息

SystaMedic, Inc., Groton, Connecticut 06355, United States.

Department of Medical Biochemistry, Dr. A.L.M. Postgraduate Institute of Basic Medical Sciences, University of Madras, Taramani, Chennai 600113, Tamil Nadu, India.

出版信息

ACS Omega. 2023 Mar 3;8(10):9445-9453. doi: 10.1021/acsomega.2c06949. eCollection 2023 Mar 14.

Abstract

Inadequate treatment of acute and chronic pain causes depression, anxiety, sleep disturbances, and increased mortality. Abuse and overdose of opioids and the side effects associated with chronic use of NSAID illustrate the need for development of safer and effective pain medication. Working toward this end, an tool based on an emergent intelligence analytical platform that examines interactions between protein networks was used to identify molecular mechanisms involved in regulating the body's response to painful stimuli and drug treatments. Examining interactions between protein networks associated with the expression of over 20 different pain types suggests that the regulation of autophagy plays a central role in modulation of pain symptoms (see Materials and Methods). Using the topology of this regulatory scheme as an screening tool, we identified that combinations of functions targeted by cannabidiol, myo-inositol, and fish oils with varying ratios of eicosapentaenoic and docosahexaenoic acids are projected to produce superior analgesia. For validating this prediction, we administered combinations of cannabidiol, myo-inositol, and fish oils to rats that received formalin injections in hind paws, prior to substance administration, and showed that analgesic effects produced by these combinations were comparable or superior to known NSAID analgesics, which suggests that these combinations have potential in treatment of pain.

摘要

急慢性疼痛治疗不当会导致抑郁、焦虑、睡眠障碍以及死亡率上升。阿片类药物的滥用和过量使用以及长期使用非甾体抗炎药的副作用表明,开发更安全有效的止痛药物很有必要。为此,我们使用了一种基于新兴智能分析平台的工具,该平台可检查蛋白质网络之间的相互作用,以确定参与调节身体对疼痛刺激和药物治疗反应的分子机制。研究与20多种不同疼痛类型表达相关的蛋白质网络之间的相互作用表明,自噬调节在疼痛症状的调节中起核心作用(见材料与方法)。利用这种调节机制的拓扑结构作为筛选工具,我们发现,大麻二酚、肌醇以及不同比例二十碳五烯酸和二十二碳六烯酸的鱼油所靶向的功能组合预计能产生更好的镇痛效果。为验证这一预测,我们在给药前,将大麻二酚、肌醇和鱼油的组合给予后爪注射福尔马林的大鼠,结果显示这些组合产生的镇痛效果与已知的非甾体抗炎药镇痛药相当或更好,这表明这些组合在疼痛治疗方面具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db42/10018516/dbe02a2afbf4/ao2c06949_0002.jpg

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