Evidence map›Paper›PMID 40326031›Full record

ArticleCurrent pharmaceutical design2025

Integration Approaches of UPLC-Q-Exactive Orbitrap-MS/MS, Network Pharmacology Molecular Docking, and Molecular Dynamics to Explore the Effective Constituents and Potential Mechanisms of

Wen-Long Li, Pei-Lu Wang, Yan Xu, Meng-Yi Shan, Gang Cheng, Yun-Jie Sheng, Kao-Hua Liu, Bing-Qian He, Qi Shi, Hua-Qiang Li and 2 more

Abstract read
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Article in Current pharmaceutical design, 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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Wen-Long LiCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, 712046, Shaanxi Province, P.R. China.
Pei-Lu WangSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Yan XuSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Meng-Yi ShanSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Gang ChengSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Yun-Jie ShengSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Kao-Hua LiuSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Bing-Qian HeAcademy of Chinese Medical Science, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang Province, P.R. China.
Qi ShiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Hua-Qiang LiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Xiong-Yu MengSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.
Lu-Ping QinSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, P.R. China.

Funding

Zhejiang Chinese Medical University Research Foundation 2023JKZKTS24Zhejiang Province Traditional Chinese Medicine Science and Technology Project 2023ZF087Zhejiang Provincial Medicine and Health Science and Technology Plan Project 2022490995Zhejiang Provincial Natural Science Foundation of China LQ22H270004, LTGC24H270001
6 · The paper itself

Abstract

backgroundS. vaninii, a well-established traditional Chinese medicine with potent pharmacological effects against cancer, lacks clarity regarding its mechanism of action.

objectiveTo elucidate the bioactive components in

methodsFirstly, the chemical composition of S. vaninii was characterized using UPLC-Q-Exactive Orbitrap- MS/MS technique. Subsequently, bioinformatics-related techniques were employed to elucidate the bioactive components and potential mechanisms of S. vaninii anti-tumor based on the identified chemical constituents. Finally, molecular dynamics simulation was conducted to validate the obtained results.

resultsOur findings revealed the characterization of 226 constituents from S. vaninii including 30 flavonoids, 27 carbohydrates and glycosides, 26 amino acids, peptides and their derivatives, 18 phenylpropanoids, 13terpenes, 12 phenols, 6 organic acids and its derivatives, 4 alkaloids, etc. Subsequently, 195 key tumorrelated active compounds were identified and established in the Drug-Compound-Target-Disease network. The PPI network screened out 85 key targets (TP53, STAT3, EGFR, GAPDH, BCL2, AKT1, CASP3, mTOR, JUN, and TNF) in tumors. Furthermore, functional enrichment analyses using GO and KEGG pathways highlighted the involvement of PI3K-Akt signaling pathways in

conclusionThis study provides insights into the potential active compounds, target proteins, and signaling pathways underlying the clinical application of S. vaninii in treating tumors.

Indexed as

Antineoplastic AgentsAntineoplastic Agents, PhytogenicDrugs, Chinese HerbalMolecular Docking SimulationMolecular Dynamics SimulationNeoplasmsNetwork PharmacologyCell ProliferationChromatography, High Pressure LiquidDrug Screening Assays, AntitumorHumansMedicine, Chinese TraditionalTandem Mass SpectrometryAntineoplastic AgentsAntineoplastic Agents, PhytogenicDrugs, Chinese Herbaleffective constituentsmolecular docking.network pharmacologyS. vaniniitumorUPLC-Q-Exactive orbitrap-MS/MS

Identifiers

PMID40326031

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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.