Evidence map›Paper›PMID 40511806›Full record

ArticleCurrent drug metabolism2025

A Gut Microbial Transformation-Integrated Network Pharmacology Approach to Elucidate the Therapeutic Mechanisms of Timosaponin AIII in Diabetes.

Huiyi Zhang, Jinhuan Wei, Xi Tian, Wenyu Li, Mengxin Yang, Qian Zhang, Nan Wang, Yiran Jin, Yingfeng Du

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Article in Current drug metabolism, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huiyi ZhangDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Jinhuan WeiDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Xi TianMedical Herbs Re-search Center, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China.
Wenyu LiDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Mengxin YangDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Qian ZhangDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Nan WangDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Yiran JinSchool of Pharmacy, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yingfeng DuDepartment of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, Shijiazhuang, China.

Funding

Natural Science Foundation of Hebei Province of China H2022206384
6 · The paper itself

Abstract

objectiveTimosaponin AIII, with poorly soluble characteristics, has a potential antidiabetic effect evaluated MATERIALS AND

methodsThe metabolic profiles of Timosaponin AIII in intestinal flora were analyzed using LC-MS/MS. Based on mass spectrometry analysis, network pharmacology combined with the GEO database was used to identify potential targets and elucidate the antidiabetic mechanism. Finally, the stability of compound- target complexes was further functionally confirmed by molecular docking.

resultsAs a result, 13 metabolites were identified. After the compound-target network, the genes of its metabolites increased by 60 compared to those of Timosaponin AIII. Subsequently, 13 core targets related to antidiabetic efficacy were identified through PPI network analysis. Key genes EGFR, MAPK1, and ICAM1 with strong binding efficiencies with metabolites were identified as crucial targets for the therapeutic effects of Timosaponin AIII. The KEGG analysis indicated that timosaponin AIII combated diabetes through various signaling pathways, including PI3K-Akt, FoxO, and HIF-1 signaling pathways, etc. Conclusion: Taken together, this study clarified the mechanism of Timosaponin AIII against diabetes by identifying additional targets and pathways, and the importance of glycosidic structures. Otherwise, we might provide a solid foundation for the development of clinical applications of Timosaponin AIII.

Indexed as

Gastrointestinal MicrobiomeHypoglycemic AgentsSaponinsSteroidsAnimalsHumansMaleMolecular Docking SimulationNetwork PharmacologySignal TransductionTandem Mass SpectrometryHypoglycemic AgentsSaponinsSteroidstimosaponin AIIIBiotransformationsdiabetesmetabolismmolecular dockingnetwork pharmacology.timosaponin AIII

Identifiers

PMID40511806

What Socratic holds

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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 Socratic graph.