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植物化合物的味道:比植物化学类更能预测药用植物的民族药理学活性?

Taste of phytocompounds: A better predictor for ethnopharmacological activities of medicinal plants than the phytochemical class?

机构信息

Medical Semiology Dept., Faculty of General Medicine, Carol Davila University of Medicine and Pharmacy, B-dul Eroilor Sanitari nr.8, 050471 Bucharest, Romania; Nephrology Clinic, University Emergency Hospital Bucharest, Bucharest, Romania.

Biochemistry Dept., Faculty of General Medicine, Carol Davila University of Medicine and Pharmacy, B-dul Eroilor Sanitari nr.8, 050471 Bucharest, Romania.

出版信息

J Ethnopharmacol. 2018 Jun 28;220:129-146. doi: 10.1016/j.jep.2018.03.034. Epub 2018 Mar 29.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Understanding the patterns that shape traditional medical knowledge is essential for accelerating ethnopharmacological progress. According to Ayurveda, medicinal plants that belong to different taxa, but which have similar taste, may display similar (ethno)pharmacological activities (EPAs) (Bhishagratna, 1998; Sharma and Dash, 2006).

AIM OF THE STUDY

To understand the patterns that govern the distribution of herbal EPAs in Ayurveda and to evaluate the potential concordance between chemical class or taste of the constituent phytocompounds and EPAs.

MATERIAL AND METHODS

A mixed database (PhytoMolecularTasteDB) was constructed for Ayurvedic medicinal plants by integrating modern data (medicinal plant composition, phytochemical taste) with traditional data (ethnopharmacological activities of plant). PhytoMolecularTasteDB contains 431 Ayurvedic medicinal plants, 94 EPAs, 223 chemical classes of phytocompounds and 438 herbal tastants. Potential global or individual associations between chemical classes/taste of the phytoconstituents and EPAs were statistically analyzed.

RESULTS

There was no global statistical correlation between the various chemical classes of phytocompounds and EPAs, although there were several individual correlations. The results suggest the existence of a global statistical correlation (besides several individual correlations) between the plant "molecular taste" (various taste-based classes of phytocompounds) and EPAs.

CONCLUSIONS

These results suggest that phytochemical taste may be more relevant than chemical class for EPAs prediction.

摘要

民族药理学相关性

了解塑造传统医学知识的模式对于加速民族药理学的发展至关重要。根据阿育吠陀医学,属于不同分类群但具有相似味道的药用植物可能具有相似的(民族)药理学活性(EPA)(Bhishagratna,1998;Sharma 和 Dash,2006)。

研究目的

了解在阿育吠陀医学中控制草药 EPA 分布的模式,并评估组成植物化合物的化学类别或味道与 EPA 之间的潜在一致性。

材料和方法

通过将现代数据(药用植物成分、植物化学味道)与传统数据(植物的民族药理学活性)相结合,为阿育吠陀药用植物构建了一个混合数据库(PhytoMolecularTasteDB)。PhytoMolecularTasteDB 包含 431 种阿育吠陀药用植物、94 种 EPA、223 种植物化合物的化学类别和 438 种草药味觉剂。对植物化学成分的各种化学类别/味道与 EPA 之间的潜在全球或个体关联进行了统计分析。

结果

尽管存在一些个体相关性,但各种植物化合物的化学类别与 EPA 之间没有全局统计相关性。结果表明,植物“分子味道”(各种基于味道的植物化合物类别)与 EPA 之间存在全局统计相关性(除了一些个体相关性之外)。

结论

这些结果表明,植物化学味道可能比化学类别更能预测 EPA。

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