原花青素在帕金森病模型中的神经保护作用实验研究系统评价

张秀文, 张小强, 黄文迪, 丁岚

营养学报 ›› 2024, Vol. 46 ›› Issue (4) : 407-413.

营养学报 ›› 2024, Vol. 46 ›› Issue (4) : 407-413.
综述

原花青素在帕金森病模型中的神经保护作用实验研究系统评价

  • 张秀文1,2, 张小强1,2, 黄文迪1,2, 丁岚1,2
作者信息 +

SYSTEMATIC EVALUATION OF EXPERIMENTAL STUDIES ON THE NEUROPROTECTIVE EFFECTS OF PROANTHOCYANIDINS IN PARKINSON’S DISEASE MODELS

  • ZHANG Xiu-wen1,2, ZHANG Xiao-qiang1,2, HUANG Wen-di1,2, DING Lan1,2
Author information +
文章历史 +

摘要

原花青素,也叫缩合单宁,是天然来源的多酚化合物的代表物质,广泛存在于多种水果和蔬菜中。越来越多的证据表明,原花青素可以通过多种机制来预防帕金森病,已被用于帕金森病的实验性治疗中。但不同学者对于原花青素治疗帕金森病的作用效果的研究存在一定差异,因此在这项研究中,我们采用系统回顾的方法来全面评估原花青素在实验性帕金森病中的疗效。旨在探讨原花青素对机体的神经保护作用,为帕金森病的防治提供参考,为原花青素资源的开发利用提供科学依据。

Abstract

Proanthocyanidins, also called condensed tannins, are representative substances of polyphenolic compounds of natural origin and are widely found in a variety of fruits and vegetables. There is increasing evidence that proanthocyanidins can prevent Parkinson's disease through multiple mechanisms and have been used in experimental treatments of Parkinson's disease. However, there are some inconsistencies regarding the effects of proanthocyanidins on Parkinson's disease. In this study, we used a systematic appproach to comprehensively assess the efficacy of proanthocyanidins in experimental Parkinson's disease models. We aimed to investigate the neuroprotective effects of proanthocyanidins, to provide a reference for the prevention and treatment of Parkinson's disease, as well as a scientific basis for the development and utilization of proanthocyanidin resources.

关键词

PAC / 帕金森病 / 系统评价

Key words

proanthocyanidins / Parkinson's disease / systematic evaluation

引用本文

导出引用
张秀文, 张小强, 黄文迪, 丁岚. 原花青素在帕金森病模型中的神经保护作用实验研究系统评价[J]. 营养学报. 2024, 46(4): 407-413
ZHANG Xiu-wen, ZHANG Xiao-qiang, HUANG Wen-di, DING Lan. SYSTEMATIC EVALUATION OF EXPERIMENTAL STUDIES ON THE NEUROPROTECTIVE EFFECTS OF PROANTHOCYANIDINS IN PARKINSON’S DISEASE MODELS[J]. Acta Nutrimenta Sinica. 2024, 46(4): 407-413
中图分类号: R151.4+1   

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基金

中央高校基本科研业务费专项资金资助和江苏省普通高校研究生科研创新计划资助项目(No. SJZZ16_0034)

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