[Extraction, isolation, structural characterization and pharmacological effects of glycopeptides from traditional Chinese medicine: current status and prospects].

Q3 Pharmacology, Toxicology and Pharmaceutics
Ye Gao, Xiao-Yi Chen, Sheng Guo, Shu-Lan Su, Jin-Ao Duan, Ping Xiao
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引用次数: 0

Abstract

Glycopeptides of traditional Chinese medicine(GTCM), as a type of natural products with important biological activities, have received increasing attention in recent years. These substances have a variety of pharmacological effects, including anti-tumor, immunomodulatory, neuroprotective, and anti-inflammatory effects. The extraction and separation processes directly affect the yield and purity of GTCM, and structural characterization is essential for probing into the properties and pharmacological mechanisms of glycopeptides. This article reviews the research progress and prospects the research directions in the extraction, separation, structural identification, and pharmacological effects of GTCM. Despite the progress in the research on GTCM, challenges such as low extraction efficiency, long separation cycles, difficult structural characterization, and complex mechanisms still exist. To address these issues, efforts should be made to optimize the extraction methods, explore new separation technologies, and develop efficient structural characte-rization methods. Additionally, the future work should decipher the pharmacological mechanisms of GTCM, which will provide a scientific basis for the drug development and clinical applications of GTCM.

[中药糖肽的提取、分离、结构表征和药理作用:现状与前景]。
中药糖肽作为一种具有重要生物活性的天然产物,近年来受到越来越多的关注。这些物质具有抗肿瘤、免疫调节、神经保护和抗炎等多种药理作用。提取和分离过程直接影响糖肽的产量和纯度,而结构表征对于探究糖肽的性质和药理机制至关重要。本文回顾了 GTCM 在提取、分离、结构鉴定和药理作用方面的研究进展,并展望了研究方向。尽管 GTCM 研究取得了进展,但仍存在提取效率低、分离周期长、结构鉴定难、机制复杂等难题。为解决这些问题,应努力优化提取方法,探索新的分离技术,开发高效的结构表征方法。此外,今后的工作还应该破译 GTCM 的药理机制,为 GTCM 的药物开发和临床应用提供科学依据。
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
Zhongguo Zhongyao Zazhi
Zhongguo Zhongyao Zazhi Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
1.50
自引率
0.00%
发文量
581
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