Identifying of Anticoagulant Ingredients From Moutan Cortex Based on Spectrum‐Effect Relationship Analysis Combined With GRA, PLS, and SVM Algorithms

Moutan Cortex (MC) is a renowned Chinese medicine used for promoting blood circulation and removing blood stasis. However, the active ingredients are unclear. This study aimed to identify and validate the active ingredients of MC. UPLC fingerprints of 23 batches of MC from various origins were analyzed. The activating blood efficacy of MC was assessed by evaluating the inhibitory effects on thrombin and factor Xa (FXa) using the chromogenic substrate method. Active ingredients were identified through spectrum-effect relationship analysis using gray relation analysis (GRA), partial least squares (PLS), and support vector machine (SVM) algorithms. Consequently, five components were identified as potential active ingredients: mudanpioside H, oxypaeoniflorin, 1,2,3,4,6-penta-O-galloyl-β-d-glucose (PGG), benzoyloxypaeoniflorin, and suffruticoside A/B/C/D. The pharmacological activities of these five active ingredients were further confirmed by measuring their thrombin inhibition ability and antithrombotic effects in zebrafish, and their interactions with thrombin and FXa were examined using molecular docking technology. Oxypaeoniflorin, benzoyloxypaeoniflorin, and PGG demonstrated significant efficacy in promoting blood circulation and resolving blood stasis, as well as strong binding affinities. This study provides a biochemical foundation for the anticoagulant effects of MC and offers valuable insights for quality control and the development of novel anticoagulant ingredients drugs.

Authors

Institutions

Publication Details

Journal
Biomedical Chromatography
Published
2025-03-17
DOI
https://doi.org/10.1002/bmc.70060
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying of Anticoagulant Ingredients From Moutan Cortex Based on Spectrum‐Effect Relationship Analysis Combined With GRA, PLS, and SVM Algorithms

Menghua Wu, Jiang Meng, Qianru Chen, Shumei Wang et al.
Biomedical Chromatography
Traditional Chinese Medicine Analysis
article

Identifying of Anticoagulant Ingredients From Moutan Cortex Based on Spectrum‐Effect Relationship Analysis Combined With GRA, PLS, and SVM Algorithms

Menghua Wu, Jiang Meng, Qianru Chen, Shumei Wang, Ming Li, Yue Sun, Weijie Pan, Xingyang Xue
article en

Abstract

Moutan Cortex (MC) is a renowned Chinese medicine used for promoting blood circulation and removing blood stasis. However, the active ingredients are unclear. This study aimed to identify and validate the active ingredients of MC. UPLC fingerprints of 23 batches of MC from various origins were analyzed. The activating blood efficacy of MC was assessed by evaluating the inhibitory effects on thrombin and factor Xa (FXa) using the chromogenic substrate method. Active ingredients were identified through spectrum-effect relationship analysis using gray relation analysis (GRA), partial least squares (PLS), and support vector machine (SVM) algorithms. Consequently, five components were identified as potential active ingredients: mudanpioside H, oxypaeoniflorin, 1,2,3,4,6-penta-O-galloyl-β-d-glucose (PGG), benzoyloxypaeoniflorin, and suffruticoside A/B/C/D. The pharmacological activities of these five active ingredients were further confirmed by measuring their thrombin inhibition ability and antithrombotic effects in zebrafish, and their interactions with thrombin and FXa were examined using molecular docking technology. Oxypaeoniflorin, benzoyloxypaeoniflorin, and PGG demonstrated significant efficacy in promoting blood circulation and resolving blood stasis, as well as strong binding affinities. This study provides a biochemical foundation for the anticoagulant effects of MC and offers valuable insights for quality control and the development of novel anticoagulant ingredients drugs.

Biomedical ChromatographyVol. 39(5)
Jinan University (CN), Guangdong Pharmaceutical University (CN), First Affiliated Hospital of Guangzhou Medical University (CN), State Key Laboratory of Respiratory Disease (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 93%
Traditional Chinese Medicine Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.