{"title":"Paeoniae Radix Alba and Network Pharmacology Approach for Osteoarthritis: A Review","authors":"Bo Wang, Changcai Bai, Yuanyuan Zhang","doi":"10.3390/separations11060184","DOIUrl":null,"url":null,"abstract":"Osteoarthritis (OA) is the most common type of arthritis and affects more than 240 million people worldwide; the most frequently affected areas are the hips, knees, feet, and hands. OA pathophysiology is multifactorial, involving genetic, developmental, metabolic, traumatic, and inflammation factors. Therefore, treatments able to address several path mechanisms can help control OA. Network pharmacology is developing as a next-generation research strategy to shift the paradigm of drug discovery from “one drug, one target” to “multi-component, multi-target”. In this paper, network pharmacology is employed to investigate the potential role of Paeoniae Radix Alba (PRA) in the treatment of OA. PRA is a natural product known for its protective effects against OA, which has recently drawn attention because of its ability to provide physiological benefits with fewer toxic effects. This review highlights the anti-inflammatory properties of PRA in treating OA. PRA can be used alone or in combination with conventional therapies to enhance their effectiveness and reduce side effects. The study also demonstrates the use of network pharmacology as a cost-effective and time-saving method for predicting therapeutic targets of PRA in OA treatment.","PeriodicalId":21833,"journal":{"name":"Separations","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Separations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/separations11060184","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Osteoarthritis (OA) is the most common type of arthritis and affects more than 240 million people worldwide; the most frequently affected areas are the hips, knees, feet, and hands. OA pathophysiology is multifactorial, involving genetic, developmental, metabolic, traumatic, and inflammation factors. Therefore, treatments able to address several path mechanisms can help control OA. Network pharmacology is developing as a next-generation research strategy to shift the paradigm of drug discovery from “one drug, one target” to “multi-component, multi-target”. In this paper, network pharmacology is employed to investigate the potential role of Paeoniae Radix Alba (PRA) in the treatment of OA. PRA is a natural product known for its protective effects against OA, which has recently drawn attention because of its ability to provide physiological benefits with fewer toxic effects. This review highlights the anti-inflammatory properties of PRA in treating OA. PRA can be used alone or in combination with conventional therapies to enhance their effectiveness and reduce side effects. The study also demonstrates the use of network pharmacology as a cost-effective and time-saving method for predicting therapeutic targets of PRA in OA treatment.
骨关节炎(OA)是最常见的关节炎类型,影响着全球超过 2.4 亿人;最常受影响的部位是髋、膝、足和手。OA 的病理生理学是多因素的,涉及遗传、发育、代谢、创伤和炎症等因素。因此,针对多种病理机制的治疗方法有助于控制 OA。网络药理学正在发展成为下一代研究策略,将药物发现的范式从 "一药一靶 "转变为 "多成分、多靶点"。本文采用网络药理学研究白芍(PRA)在治疗 OA 中的潜在作用。PRA 是一种天然产品,以其对 OA 的保护作用而闻名,最近因其能在提供生理益处的同时减少毒副作用而备受关注。本综述重点介绍 PRA 在治疗 OA 方面的抗炎特性。PRA 可单独使用,也可与传统疗法结合使用,以提高疗效并减少副作用。该研究还证明了网络药理学是预测 PRA 在治疗 OA 中的治疗靶点的一种既经济又省时的方法。
期刊介绍:
Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal:
Manuscripts regarding research proposals and research ideas will be particularly welcomed.
Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users.
The scope of the journal includes but is not limited to:
Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.)
Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry)
Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution
Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization