Comparative study on metabolite variations of two rose teas by plant metabolomics and revealing their skin-whitening candidates by spectrum-effect relationship analysis.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-07-24 DOI:10.1002/pca.3420
Jian Xu, Hongwei Ye, Xindan Zhang, Yangbin Lv, Shengqiang Tong, Biao Liu, Zhimin Ou, Chu Chu
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Abstract

Introduction: Rosa rugosa var. plena Rehd (CBR) and Rosa chinensis cv. "JinBian" (JBR) are two common species used in rose tea among different original species. CBR, the officially documented original plant of the rose species for food and medicinal purposes, is more costly than JBR. With increasing demand for different rose teas, it is meaningful to compare the chemical constituents for their quality control and reveal their skin-whitening components that will provide in-depth insights for the expansion of the rose tea industry.

Objective: This study aims to reveal the chemical variances between CBR and JBR and determine their skin-whitening components.

Methodology: A strategy obtained by combining MS-based plant-metabolomics with spectrum-effect relationship analysis has been proposed for unveiling chemical differences between CBR and JBR and further exploring their potential skin-whitening components.

Results: A total of 2030 metabolites were found that revealed considerable differences between CBR and JBR. The results of bioactivity assay demonstrated that JBR exhibited stronger tyrosinase inhibition activity than CBR. Six potential skin-whitening compounds (di-O-galloyl-HHDP-glucoside, tri-O-galloyl-HHDP-glucoside, spiraeoside, quinic acid, rugosin A, and 1,2,3,6-tetra-O-galloyl-glucose) were discovered as potential tyrosinase inhibitors, via spectrum-effect relationship analysis. This is the first time that di-O-galloyl-HHDP-glucoside, tri-O-galloyl-HHDP-glucoside, rugosin A, and 1,2,3,6-tetra-O-galloyl-glucose have been reported with tyrosinase inhibitory activity. Additionally, molecular docking analysis was used to reveal the inhibition mechanism of these compounds toward tyrosinase.

Conclusion: The finding of this study will be of great importance for the quality control of the two types of rose teas, and the revealed active ingredients will provide in-depth insights for the expansion of the rose tea industry.

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利用植物代谢组学比较研究两种玫瑰花茶的代谢物变化,并通过谱效关系分析揭示其美白候选物质。
简介Rosa rugosa var. plena Rehd(CBR)和 Rosa chinensis cv. "JinBian"(JBR)是不同原种中用于玫瑰花茶的两个常见品种。CBR 是官方记载的食用和药用玫瑰原种,价格高于 JBR。随着人们对不同玫瑰花茶的需求不断增加,比较其化学成分以控制其质量并揭示其美白成分是很有意义的,这将为玫瑰花茶产业的发展提供深入的见解:本研究旨在揭示 CBR 和 JBR 之间的化学差异,并确定其美白成分:方法:提出了一种基于 MS 的植物代谢组学与谱效关系分析相结合的策略,以揭示 CBR 和 JBR 之间的化学差异,并进一步探索其潜在的美白成分:结果:共发现 2030 种代谢物,揭示了 CBR 和 JBR 之间的显著差异。生物活性测定结果表明,JBR 比 CBR 具有更强的酪氨酸酶抑制活性。通过谱效关系分析,发现了六种潜在的美白化合物(二-O-缩水甘油基-HHDP-葡萄糖苷、三-O-缩水甘油基-HHDP-葡萄糖苷、螺旋苷、奎宁酸、地毯苷 A 和 1,2,3,6-四-O-缩水甘油基-葡萄糖)是潜在的酪氨酸酶抑制剂。这是首次报道二-O-缩水甘油-HHDP-葡萄糖苷、三-O-缩水甘油-HHDP-葡萄糖苷、芦可新 A 和 1,2,3,6- 四-O-缩水甘油-葡萄糖具有抑制酪氨酸酶的活性。此外,还利用分子对接分析揭示了这些化合物对酪氨酸酶的抑制机制:本研究的发现对两种玫瑰花茶的质量控制具有重要意义,所揭示的有效成分将为玫瑰花茶产业的拓展提供深入的见解。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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