Integrating traditional medicine with network pharmacology for Alzheimer's treatment

Sunil Kumar Kadiri, Prashant Tiwari
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Abstract

A progressive neurological disease with a high global prevalence, Alzheimer's disease (AD) is characterized by memory impairment. Due to their primary focus on either a single signaling route or a particular molecular target, current treatment methods have shown limited success. An overview of the area is given in this review, along with an examination of possible supplementary remedies provided by traditional medicine, which takes a holistic approach. We examine attempts to combine network pharmacology, a cutting-edge method that offers deeper understanding of intricate biological processes, with traditional medicine. Compound-target interactions are examined via network pharmacology, which emphasizes the complementary benefits of traditional Chinese herbal remedies. Addressing the various pathways linked to AD enables it to target a variety of mechanisms, such as tau phosphorylation, oxidative stress, amyloid-beta accumulation, and neuroinflammation. Furthermore, the available evidence encourages pharmaceutical industries to consider herbs such as Ginkgo biloba, Curcuma longa, and Panax ginseng for AD management. Network pharmacology offers a valuable tool to validate their efficacy by predicting the molecular targets of compounds associated with amyloid-beta toxicity, tau hyperphosphorylation, and oxidative stress modulation. However, significant challenges remain in combining network pharmacology with traditional medicine, such as the standardization of herbal extracts and clinical validation of their effects. Despite being in its early stages, this multifaceted approach holds great promise for the development of more effective therapeutics with tangible clinical benefits for AD.

Abstract Image

传统医学与网络药理学结合治疗阿尔茨海默病
阿尔茨海默病(AD)是一种全球高发的进行性神经系统疾病,以记忆障碍为特征。由于其主要关注单一信号通路或特定分子靶点,目前的治疗方法显示出有限的成功。本综述概述了这一领域,并审查了采用整体方法的传统医学可能提供的补充疗法。我们研究了将网络药理学与传统医学结合起来的尝试,网络药理学是一种前沿方法,可以更深入地了解复杂的生物过程。通过网络药理学研究了化合物与靶标的相互作用,强调了传统中药的互补益处。解决与AD相关的各种途径使其能够针对多种机制,如tau磷酸化,氧化应激,淀粉样蛋白积累和神经炎症。此外,现有的证据鼓励制药行业考虑使用银杏、姜黄和人参等草药来治疗AD。网络药理学通过预测与淀粉样蛋白- β毒性、tau过度磷酸化和氧化应激调节相关的化合物的分子靶点,为验证其有效性提供了一个有价值的工具。然而,将网络药理学与传统医学相结合仍然存在重大挑战,例如草药提取物的标准化和其效果的临床验证。尽管还处于早期阶段,但这种多方面的方法为开发更有效的治疗方法提供了巨大的希望,并为阿尔茨海默病提供了切实的临床益处。
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
Health sciences review (Oxford, England)
Health sciences review (Oxford, England) Medicine and Dentistry (General)
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