Evidence map›Paper›PMID 38834626›Full record

ArticleScientific reports2024

Sinomenine treats rheumatoid arthritis by inhibiting MMP9 and inflammatory cytokines expression: bioinformatics analysis and experimental validation.

Jinfang Luo, Yi Zhu, Yang Yu, Yujie Chen, Kang He, Jianxin Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Review
  6. Parishin E from ginger-processedFrontiers in pharmacology · 2025
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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

6 authors.

Jinfang Luo *Department of Basic Medicine, Department of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, People's Republic of China.
Yi Zhu *Department of Basic Medicine, Department of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, People's Republic of China.
Yang YuDepartment of Basic Medicine, Department of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, People's Republic of China.
Yujie ChenCollege of Clinical Medicine, The Affiliated Zhongshan Hospital of Dalian University, Dalian, 116622, People's Republic of China.
Kang HeDepartment of Basic Medicine, Department of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, People's Republic of China. hekang@gzy.edu.cn.
Jianxin LiuSchool of Pharmaceutical Sciences, Hunan University of Medicine, Jinxi South Road, Huaihua, 418000, People's Republic of China. liujianxin3385@126.com.

Funding

the National Natural Science Fund of China 82160779the National Natural Science Fund of China 8216140904
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease marked by inflammatory cell infiltration and joint damage. The Chinese government has approved the prescription medication sinomenine (SIN), an effective anti-inflammation drug, for treating RA. This study evaluated the possible anti-inflammatory actions of SIN in RA based on bioinformatics analysis and experiments. Six microarray datasets were acquired from the gene expression omnibus (GEO) database. We used R software to identify differentially expressed genes (DEGs) and perform function evaluations. The CIBERSORT was used to calculate the abundance of 22 infiltrating immune cells. The weighted gene co-expression network analysis (WGCNA) was used to discover genes associated with M1 macrophages. Four public datasets were used to predict the genes of SIN. Following that, function enrichment analysis for hub genes was performed. The cytoHubba and least absolute shrinkage and selection operator (LASSO) were employed to select hub genes, and their diagnostic effectiveness was predicted using the receiver operator characteristic (ROC) curve. Molecular docking was undertaken to confirm the affinity between the SIN and hub gene. Furthermore, the therapeutic efficacy of SIN was validated in LPS-induced RAW264.7 cells line using Western blot and Enzyme-linked immunosorbent assay (ELISA). The matrix metalloproteinase 9 (MMP9) was identified as the hub M1 macrophages-related biomarker in RA using bioinformatic analysis and molecular docking. Our study indicated that MMP9 took part in IL-17 and TNF signaling pathways. Furthermore, we found that SIN suppresses the MMP9 protein overexpression and pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the LPS-induced RAW264.7 cell line. In conclusion, our work sheds new light on the pathophysiology of RA and identifies MMP9 as a possible RA key gene. In conclusion, the above findings demonstrate that SIN, from an emerging research perspective, might be a potential cost-effective anti-inflammatory medication for treating RA.

Indexed as

Arthritis, RheumatoidComputational BiologyCytokinesMatrix Metalloproteinase 9MorphinansAnimalsAnti-Inflammatory AgentsGene Expression RegulationHumansMacrophagesMiceMolecular Docking SimulationRAW 264.7 CellsAnti-Inflammatory AgentsCytokinesMatrix Metalloproteinase 9MorphinanssinomenineBioinformaticsIL-6M1 macrophagesMMP9Rheumatoid arthritisSinomenineTNF-α

Identifiers

PMID38834626
PMCPMC11151427

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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.