Generic placeholder image

Current Analytical Chemistry

Editor-in-Chief

ISSN (Print): 1573-4110
ISSN (Online): 1875-6727

Research Article

A Study on the Anti-inflammatory Activity of Clematis tangutica Using Molecular Networking

In Press, (this is not the final "Version of Record"). Available online 06 March, 2024
Author(s): Aijing Li, Tao Chen, Shuo Wang, Juyuan Luo, Cheng Shen, Hongmei Li, Yumei Ma, Zhibo Song, Weihang Lu, Denglang Zou* and Yulin Li*
Published on: 06 March, 2024

DOI: 10.2174/0115734110289479240220061031

Abstract

Background: Clematis tangutica, an indigenous medicinal herb native to the Qinghai- Tibet Plateau of China, has traditionally been associated with treating various inflammation-related diseases. While its therapeutic potential is recognized, a comprehensive characterization of its metabolite molecules and their anti-inflammatory properties has not been undertaken.

Objective: This study aimed to comprehensively profile the metabolite molecules of Clematis tangutica and identify potential anti-inflammatory active molecules using the Activity Labelled Molecular Networking (ALMN) approach.

Methods: The ALMN approach was employed to visually label activity to the feature-based molecular network, allowing for the profiling of potential anti-inflammatory active molecules in Clematis tangutica. Through correlating activity levels with the respective molecules, a detailed profiling was achieved.

Results: Out of the 8,644 metabolite molecules in Clematis tangutica, ten were identified as the most potent anti-inflammatory molecules. Among these, Spiraeoside was notably annotated along with its structure.

Conclusion: This research successfully identified ten potent anti-inflammatory molecules from the vast metabolite profile of Clematis tangutica, including a detailed annotation of Spiraeoside. This marked a significant step in bridging traditional therapeutic knowledge with modern molecular profiling techniques.

Keywords: Clematis tangutica, LC-MS, Metabolism study, Activity labelled molecular networking, Anti-inflammatory molecules, Structural annotation.


© 2024 Bentham Science Publishers | Privacy Policy