Evidence map›Paper›PMID 41203817›Full record

ArticleScientific reports2025

Network pharmacology, molecular docking, and molecular dynamics simulations to explore the effects of sinomenine on thyroid dysfunction.

Jiabei Chen, Renyue Cai, Yunhua Xiao, Xinbo Chen, Xiaotong Liu, Hua Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Elucidating the Multi-Target Anti-Pruritic Mechanism ofCurrent issues in molecular biology · 2026
    Article
  2. Review
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

6 authors.

Jiabei Chen *College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Renyue Cai *College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Yunhua XiaoCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Xinbo ChenCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Xiaotong LiuCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China.
Hua YangCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, Hunan, China. yhua7710@hunau.edu.cn.

Funding

Hunan Agriculture Research System HARS-11Hunan Provincial Science and Technology Department Project 2023NK4146Monitoring and protection of agro-ecological environment Xiang Nong Han [2024] No. 118the 2023 Hunan Graduate Research Innovation Project QL20230167
6 · The paper itself

Abstract

Thyroid dysfunction is a disease closely associated with autoinflammatory responses and immune imbalances. Derived from the traditional Chinese medicine Sinomenium acutum, sinomenine is an alkaloid that possesses immunomodulatory and anti-inflammatory activities. However, the exact molecular mechanism underlying its therapeutic effects on thyroid dysfunction has not been clarified. This study integrates network pharmacology, molecular docking and molecular dynamics simulation techniques to explore the mechanism of sinomenine on thyroid dysfunction. Databases such as GeneCards, PharmMapper, SwissTargetPrediction, and OMIM were used to screen the targets of sinomenine and thyroid dysfunction. Subsequent GO and KEGG enrichment analyses, PPI network construction, and drug-target-pathway network analysis were conducted. Molecular docking and molecular dynamics simulations were further employed for validation. The results of GO and KEGG enrichment analyses revealed that sinomenine's mechanism of action involves cellular responses to oxidative stress caused by inflammation, the role of nuclear transcription factors in gene expression, as well as processes of cell proliferation and apoptosis. Its targets are distributed across various pathways, suggesting a complex synergistic effect of multiple pathways in its potential mechanism; Molecular docking experiments showed that sinomenine and 14-episinomenine exhibit good binding affinity with the key targets, including TNF, STAT3, NFKB1, IL6, SRC, ESR1, and MAPK8; Molecular dynamics simulations were carried out on the two most stable binding complexes. RMSD, RMSF, Rg, and SASA curves showed that both proteins, ESR1 (PDB ID:4pxm) and MAPK8 (PDB ID:4yr8), were stabilized with sinomenine. Our study implies that via the synergistic action of multiple targets and pathways, sinomenine has the potential to impact cellular proliferation and apoptosis processes in thyroid dysfunction. The findings provide a theoretical basis for investigating the molecular mechanisms of sinomenine in treating thyroid dysfunction.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationMorphinansNetwork PharmacologyThyroid DiseasesHumansMorphinanssinomenine14-episinomenineMolecular dockingMolecular dynamics simulationNetwork pharmacologySinomenineThyroid dysfunction

Identifiers

PMID41203817
PMCPMC12595059

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