A therapeutic approach to identify leading molecules from natural products and therapeutic targets in CKD by network pharmacology

IF 2.4 Q3 NUTRITION & DIETETICS
Yugant Krishnakumar Talati, Anil Bhanudas Gaikwad
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Abstract

Chronic kidney disease (CKD), a condition characterized by diminished kidney function, affects approximately 10 % of the population worldwide. With its high mortality rate of ∼1.2 million, CKD poses a high global burden. The complexity increases severalfold due to its vast variety of aetiologies and relatively limited treatment options that, too, are associated with adverse effects. The continuous deterioration of the kidneys makes them reliant on external purification systems i.e., dialysis or whole kidney transplantation, both having certain limitations, making CKD one of the highly prevalent diseases across the globe. The multi-faceted disease requires multi-targeted therapies that can potentially improve CKD care. Natural products have long been considered the “holy grail” for many diseases, including CKD; their multi-targeting nature, fewer side effects, and ability to target multiple pathways have caught attention. The complexity increases when a single phytopharmaceutical cures a disease by acting on various targets and affecting diverse mechanisms. Identifying therapeutic targets and lead molecules thus becomes difficult and, at times, a big task! The network pharmacology (NP) tool has shifted this drug discovery paradigm towards a “multi-drug, multi-target” approach to underscore responsible molecular interconnections that unwind the therapeutic potential of natural products against CKD by predicting potential therapeutic targets and underlined molecular mechanisms. Applying NP for natural products in CKD can be a time-saving and cost-effective strategy. The present review emphasizes prominent classes of natural products and lead molecules obtained from herbal preparations, their explored multi-targeted effects against CKD, and novel targets predicted and validated using the NP approach.
通过网络药理学从天然产品中发现主导分子并确定慢性肾脏病治疗靶点的治疗方法
慢性肾脏病(CKD)是一种以肾功能减退为特征的疾病,影响着全球约 10% 的人口。慢性肾脏病的死亡率高达 120 万,给全球造成了沉重的负担。由于病因种类繁多,治疗方法相对有限,而且还伴有不良反应,其复杂性增加了数倍。肾脏的持续恶化使其不得不依赖外部净化系统,即透析或全肾移植,这两种方法都有一定的局限性,从而使 CKD 成为全球高发疾病之一。这种多发性疾病需要多靶点疗法来改善 CKD 护理。长期以来,天然产品一直被认为是包括 CKD 在内的许多疾病的 "圣杯";它们的多靶点性、较少的副作用以及靶向多种途径的能力引起了人们的关注。当一种植物药通过作用于不同靶点和影响不同机制来治疗疾病时,其复杂性就会增加。因此,确定治疗靶点和先导分子变得十分困难,有时甚至是一项艰巨的任务!网络药理学(NP)工具将这种药物发现范式转变为 "多药物、多靶点 "方法,通过预测潜在的治疗靶点和强调分子机制,强调负责任的分子相互联系,从而发掘天然产品治疗慢性肾功能衰竭的潜力。在 CKD 中应用天然产物 NP 可以是一种省时且具有成本效益的策略。本综述强调了从中草药制剂中获得的天然产品和先导分子的主要类别、它们对 CKD 的多靶点作用,以及使用 NP 方法预测和验证的新靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PharmaNutrition
PharmaNutrition Agricultural and Biological Sciences-Food Science
CiteScore
5.70
自引率
3.10%
发文量
33
审稿时长
12 days
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