Evidence map›Paper›PMID 42180572›Full record

ArticleFrontiers in nutrition2026

An activity labelled molecular networking strategy-assisted discovery of antiplatelet aggregation-active components from

Yan Xu, Beibei Zhang, Liangliang He, Qiwen Zhang, Yongjie Yang, Zhihong Yao, Jing Yang, Qi Wang, Zifei Qin

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

What it found

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2 · The registry

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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

9 authors.

Yan Xu *Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Beibei Zhang *Department of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Liangliang HeState Key Laboratory of Bioactive Molecules and Druggability Assessment, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, China.
Qiwen ZhangDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yongjie YangDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhihong YaoState Key Laboratory of Bioactive Molecules and Druggability Assessment, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, China.
Jing YangDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qi WangState Key Laboratory of Bioactive Molecules and Druggability Assessment, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China, Guangdong Basic Research Center of Excellence for Natural Bioactive Molecules and Discovery of Innovative Drugs, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research, College of Pharmacy, Jinan University, Guangzhou, China.
Zifei QinDepartment of Pharmacy, Henan Province Engineering Research Center of Application & Translation of Precision Clinical Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: This study identified steroidal saponins using a targeted molecular networking (TMN) approach and explored the mechanism of antiplatelet aggregation. Results: ACGD samples (1 mg/mL) extracted using different solvents (water, 30% methanol, 50% methanol, 70% methanol, and 100% methanol) all exhibited inhibitory effects on platelet aggregation induced by adenosine diphosphate, arachidonic acid, and collagen. The ACGD fraction extracted with 70% methanol (1 mg/mL) displayed the strongest inhibitory effects. Furthermore, a total of 36 steroidal saponins were visualized based on TMN analysis. These components were identified or tentatively characterized according to their retention behaviors, diagnostic ions, and fragmentation patterns. Among them, laxogenin-related furostanol and spirostanol saponins were the most abundant saponins in ACGD. A total of 15 saponins with antiplatelet aggregation activity, high content levels, different structural types, or authentic standards were selected to perform the network pharmacology analysis. The PI3K/Akt pathway is one of the most important signaling pathways in platelet activation. Moreover, based on CCK-8 assays in MEG-01 cells, compounds T3-12, T3-14, T3-15, T3-16, and T3-17 were non-toxic and did not induce proliferation at 5-20 μM. Moreover, compounds T3-15, T3-16, and T3-17 at 20 μM caused downregulation of the Discussion: The TMN approach, integrated with diagnostic ions, was successfully applied to characterize target steroidal saponins in ACGD. Compounds T3-16 and T3-17 were confirmed to be active components in ACGD in antiplatelet aggregation through the PI3K/Akt pathway.

Indexed as

active steroidal saponinsAllium chinense G. Donnetwork pharmacologyPI3K/Akt pathwaytargeted molecular networking

Identifiers

PMID42180572
PMCPMC13190571

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.