ArticleFrontiers in pharmacology2020
A Mass Spectrometry Based Metabolite Profiling Workflow for Selecting Abundant Specific Markers and Their Structurally Related Multi-Component Signatures in Traditional Chinese Medicine Multi-Herb Formulae.
Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- The Active Ingredients and Mechanisms of Xuefuzhuyu Pills in Treating Hyperprolactinemia Caused by Antipsychotics based on UHPLCQ-TOF-MS/MS, Network Pharmacology, and Molecular Docking Validation.Current computer-aided drug design · 2026Article
- Prioritization of novel anti-infective stilbene derivatives by combining metabolomic data organization and a stringent 3R-infection model in a knowledge graph.RSC advances · 2025Article
- Advanced high-resolution chromatographic strategies for efficient isolation of natural products from complex biological matrices: from metabolite profiling to pure chemical entities.Phytochemistry reviews : proceedings of the Phytochemical Society of Europe · 2024Review
- Critical roles of cytokine storm and bacterial infection in patients with COVID-19: therapeutic potential of mesenchymal stem cells.Inflammopharmacology · 2023Review
- Characterization of volatile organic compounds with anti-atherosclerosis effects inFrontiers in nutrition · 2023Article
- Advancements in capturing and mining mass spectrometry data are transforming natural products research.Natural product reports · 2021Review
- UHPLC-(ESI)-HRMS and NMR-Based Metabolomics Approach to Access the Seasonality ofFrontiers in chemistry · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Traditional Chinese Medicine (TCM), herbal preparations often consist of a mixture of herbs. Their quality control is challenging because every single herb contains hundreds of components (secondary metabolites). A typical 10 herb TCM formula was selected to develop an innovative strategy for its comprehensive chemical characterization and to study the specific contribution of each herb to the formula in an exploratory manner. Metabolite profiling of the TCM formula and the extract of each single herb were acquired with liquid chromatography coupled to high-resolution mass spectrometry for qualitative analyses, and to evaporative light scattering detection (ELSD) for semi-quantitative evaluation. The acquired data were organized as a feature-based molecular network (FBMN) which provided a comprehensive view of all types of secondary metabolites and their occurrence in the formula and all single herbs. These features were annotated by combining MS/MS-based
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