桑:生物活性成分、药理活性和治疗潜力。

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Xue Hu, Zhao Wang, Shengzhi Liu, Mohamed El-Shazly, Wei Zhu, Kefeng Zhai, Jingkui Tian, Yan Yan
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引用次数: 0

摘要

桑树(Morus alba L.)是一种原产于中国的传统药用植物,长期以来一直被用于草药实践。近年来,它引起了新的研究兴趣,因为植物的不同部分含有广泛的生物活性成分。已知叶子、果实、根皮和细枝富含黄酮类化合物、生物碱、多糖和相关化合物,这是其多种生物活性的基础。实验和药理学研究已经报道了对葡萄糖和脂质代谢、炎症反应、氧化应激以及神经和微生物调节的影响。重要的是,不同植物组织的生物学功能各不相同:叶片和细枝主要与代谢和心血管调节有关,根皮具有明显的神经保护和抗肿瘤活性,果实具有与肾脏保护和免疫功能相关的额外益处。由于这种组织特异性活性特征及其通常的低毒性,白支原体被认为是探索针对代谢、炎症、恶性和肾脏疾病的治疗策略的有价值的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morus alba L.: Bioactive Constituents, Pharmacological Activities, and Therapeutic Potential.

Morus alba L. (mulberry) is a traditional medicinal plant originating from China and has long been used in herbal practice. In recent years, it has attracted renewed research interest because different parts of the plant contain a wide range of bioactive constituents. The leaves, fruits, root bark, and twigs are known to be rich in flavonoids, alkaloids, polysaccharides, and related compounds, which underlie their multiple biological activities. Experimental and pharmacological studies have reported effects on glucose and lipid metabolism, inflammatory responses, oxidative stress, as well as neural and microbial regulation. Importantly, the biological functions vary across plant tissues: leaves and twigs are mainly associated with metabolic and cardiovascular regulation, the root bark shows pronounced neuroprotective and antitumor activity, and the fruits exhibit additional benefits related to renal protection and immune function. Owing to this tissue-specific activity profile and its generally low toxicity, M. alba is considered a valuable source for exploring therapeutic strategies against metabolic, inflammatory, malignant, and renal disorders.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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