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ArticleNaunyn-Schmiedeberg's archives of pharmacology2024

Molecular mechanism of Saikosaponin-d in the treatment of gastric cancer based on network pharmacology and in vitro experimental verification.

Na Ning, Xiangyang Li, Yi Nan, Guoqing Chen, Shicong Huang, Yuhua Du, Qian Gu, Weiqiang Li, Ling Yuan

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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Current pharmaceutical design · 2026
    Article
  2. Review
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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

9 authors.

Na NingCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Xiangyang LiCollege of Traditional Chinese Medicine, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Yi NanCollege of Traditional Chinese Medicine, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Guoqing ChenCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Shicong HuangCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Yuhua DuCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Qian GuCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Weiqiang LiDepartment of Chinese Medical Gastrointestinal, TCM Hospital of Ningxia Medical University, Wuzhong, 751100, China. 20060010@nxmu.edu.cn.
Ling YuanCollege of Pharmacy, Ningxia Medical University, Yinchuan, 750004, Ningxia, China. 20080017@nxmu.edu.cn.

Funding

High-level Key Discipline Construction Project of State Administration of Traditional Chinese Medicine 2022-226Ningxia Key Research and Development Program 2023BEG02015Talent Development Projects of Young Qihuang of National Administration of Traditional Chinese Medicine 2020
6 · The paper itself

Abstract

The study aimed to utilize network pharmacology combined with cell experiments to research the mechanism of action of Saikosaponin-d in the treatment of gastric cancer. Drug target genes were obtained from the PubChem database and the Swiss Target Prediction database. Additionally, target genes for gastric cancer were obtained from the GEO database and the Gene Cards database. The core targets were then identified and further analyzed through gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and GESA enrichment. The clinical relevance of the core targets was assessed using the GEPIA and HPA databases. Molecular docking of drug monomers and core target proteins was performed using Auto Duck Tools and Pymol software. Finally, in vitro cellular experiments including cell viability, apoptosis, cell scratch, transwell invasion, transwell migration, qRT-PCR, and Western blot were conducted to verify these findings of network pharmacology. The network pharmacology analysis predicted that the drug monomers interacted with 54 disease targets. Based on clinical relevance analysis, six core targets were selected: VEGFA, IL2, CASP3, BCL2L1, MMP2, and MMP1. Molecular docking results showed binding activity between the Saikosaponin-d monomer and these core targets. Saikosaponin-d could inhibit gastric cancer cell proliferation, induce apoptosis, and inhibit cell migration and invasion.

Indexed as

ApoptosisCell MovementMolecular Docking SimulationNetwork PharmacologyOleanolic AcidSaponinsStomach NeoplasmsAntineoplastic Agents, PhytogenicCell Line, TumorCell ProliferationCell SurvivalHumansAntineoplastic Agents, PhytogenicOleanolic Acidsaikosaponin DSaponinsApoptosisGastric cancerInvasionMigrationNetwork pharmacologySaikosaponin-d

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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.