Asset Details
Do you wish to reserve the book?
Metabolomics analysis of region-specific polygoni multiflori radix metabolite profiles
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Metabolomics analysis of region-specific polygoni multiflori radix metabolite profiles
Do you wish to request the book?
Metabolomics analysis of region-specific polygoni multiflori radix metabolite profiles
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Metabolomics analysis of region-specific polygoni multiflori radix metabolite profiles
2022
Overview
Background: Polygoni Multiflori Radix (PMR) is a widely distributed herb that has been used for centuries in the treatment of a range of systemic diseases among practitioners of traditional Chinese medicine. Objectives: The present comparative metabolite analysis study was conducted in an effort to understand the relationship between the geographical origin of PMR samples and their medicinal properties. Materials and Methods: As a metabolomics analysis of 35 PMR samples collected from Guangdong and other provinces in China was conducted via ultra-high performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry. Results: Differential metabolite profiles in these PMR samples were evaluated through multivariate statistical analyses. In total, this approach led to the identification of 778 differential metabolites [value of group contribution (VIP) >1, P < 0.01, and fold-change (FC) >2 or <0.5)] that were primarily associated with glycosaminoglycan degradation, lipoic acid metabolism, flavonoid biosynthesis, tyrosine metabolism, flavone and flavonol biosynthesis, phenylpropanoid biosynthesis, and phenylalanine metabolism. Of these metabolites, catechins accounted for seven significantly altered metabolites (VIP ≥2, P < 0.01, and FC >2 or <0.5) when comparing PMR samples from Guangdong with those from other regions. This suggests that PMR samples contain metabolite profiles characteristic of their provenance. Conclusion: As such, metabolomic profiling may be effective means of differentiating between PMR samples from different geographic regions within China, thus providing a sound theoretical basis for the reliable differentiation among and selection of pharmacologically optimal PMR samples.
Publisher
Wolters Kluwer India Pvt. Ltd,Medknow Publications and Media Pvt. Ltd,Sage Publications Ltd
Subject
