Evidence map›Paper›PMID 42506427›Full record

ArticleMetabolites2026

Geographical Origin Drives Metabolic Divergence in

Leilei Zuo, Yan Chen, Yuxuan Luo, Huan Yang, Dayi Chen, Ying Zhang, Xiao Meng, Waralee Watcharin

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Leilei ZuoModern College of Traditional Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID 0000-0001-7703-6069
Yan ChenCollege of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yuxuan LuoCollege of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Huan YangCollege of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Dayi ChenCollege of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Ying ZhangCollege of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xiao MengModern College of Traditional Chinese Medicine Industry, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Waralee WatcharinTheophane Venard School of Food Biotechnology and Innovation, Assumption University, Bangkok 10240, Thailand.ORCID 0009-0009-7504-3690

Funding

Xinglin Scholar Research Promotion Project of Chengdu University of Traditional Chinese Medicine XCZX2022014Xinglin Scholar Research Promotion Project of Chengdu University of Traditional Chinese Medicine ZYTS2025027
6 · The paper itself

Abstract

BACKGROUND/

objectives

methodsUltra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed to identify metabolites. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and Cancer HSP were applied to screen the key active ingredients of traditional Chinese medicine (TCM-KAIs) and disease-related pharmaceutical ingredients (PDRIs). Specifically, we targeted six highly prevalent human diseases and another five disorders based on therapeutic indications documented in the Chinese Pharmacopoeia. Multivariate analyses, such as principal component analysis, hierarchical clustering analysis, and other statistical methods, were applied to investigate differential metabolites. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database was utilized for pathway enrichment analysis of marker metabolites.

resultsIn total, 1550 metabolites were identified across 12 categories, predominantly flavonoids. Additionally, 152 TCM-KAIs and 204 PDRIs against 11 diseases were screened. Multivariate analyses indicated that geographical origin was closely associated with observed metabolic variation among the tested samples: Guangxi samples accumulated higher lipids and nucleotides, whereas Sichuan samples showed higher levels of flavonoids and phenolic acids. Vanilloloside, protocatechuic acid-4-O-glucoside, and gallic acid-4-O-glucoside were identified as key inter-group biomarkers. KEGG enrichment analysis revealed enhanced metabolism of nucleotide/pyrimidine in Guangxi, whereas zeatin biosynthesis was upregulated in Sichuan, consistent with discrepancies in regional climatic patterns.

conclusionsThis study established a more comprehensive metabolomic dataset for FBSJvJ. It also clarified the correlations between origin and quality and unraveled the underlying mechanisms. These findings facilitate origin authentication, standardized quality control, and rational exploitation of FBSJvJ as raw materials of functional foods.

Indexed as

KEGG enrichment pathwaykey active ingredient of Chinese medicinemetabolic divergenceStyphnolobium japonicum cv. Jinhuai

Identifiers

PMID42506427
PMCPMC13414312

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