Evidence map›Paper›PMID 38491124›Full record

ArticleScientific reports2024

Identification of Hedyotis diffusa Willd-specific mRNA-miRNA-lncRNA network in rheumatoid arthritis based on network pharmacology, bioinformatics analysis, and experimental verification.

Jing Jiang, Meng Huang, Si-Si Zhang, Yong-Gang Wu, Xiao-Long Li, Hui Deng, Xin-Yu Qili, Jian-Lin Chen, Yao Meng, Wen-Kui Sun

Open access · goldAbstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jing Jiang *School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Meng Huang *School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Si-Si Zhang *School of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Yong-Gang WuDepartment of Orthopedics, Xindu District People's Hospital, Chengdu, 610500, Sichuan, China.
Xiao-Long LiDepartment of Orthopedics, Xindu District Hospital of Traditional Chinese Medicine, Chengdu, 610500, Sichuan, China.
Hui DengDepartment of Clinical Laboratory, Sichuan Taikang Hospital, Chengdu, 610213, Sichuan, China.
Xin-Yu QiliSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Jian-Lin ChenSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China.
Yao MengSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China. myaoworks@outlook.com.
Wen-Kui SunSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, Sichuan, China. sunwenkui126@126.com.
Chengdu Medical College · CN

Funding

Collaborative Fund of Chengdu Medical College-People's Hospital of Xindu District in Chengdu 2022LHXD-01 and 2022LHXD-03CSRD VA I01 CX002022National Undergraduate Innovation and Entrepreneurship Program 202213705017Science and Technology Innovation Talent Project of Sichuan Provincial Department of Science and Technology 2021JDRC0044the Innovation Project of Chengdu Medical College YCX2023-01-65, YCX2022-03-06, YCX2021-36;
6 · The paper itself

Abstract

Hedyotis diffusa Willd (HDW) possesses heat-clearing, detoxification, anti-cancer, and anti-inflammatory properties. However, its effects on rheumatoid arthritis (RA) remain under-researched. In this study, we identified potential targets of HDW and collected differentially expressed genes of RA from the GEO dataset GSE77298, leading to the construction of a drug-component-target-disease regulatory network. The intersecting genes underwent GO and KEGG analysis. A PPI protein interaction network was established in the STRING database. Through LASSO, RF, and SVM-RFE algorithms, we identified the core gene MMP9. Subsequent analyses, including ROC, GSEA enrichment, and immune cell infiltration, correlated core genes with RA. mRNA-miRNA-lncRNA regulatory networks were predicted using databases like TargetScan, miRTarBase, miRWalk, starBase, lncBase, and the GEO dataset GSE122616. Experimental verification in RA-FLS cells confirmed HDW's regulatory impact on core genes and their ceRNA expression. We obtained 11 main active ingredients of HDW and 180 corresponding targets, 2150 RA-related genes, and 36 drug-disease intersection targets. The PPI network diagram and three machine learning methods screened to obtain MMP9, and further analysis showed that MMP9 had high diagnostic significance and was significantly correlated with the main infiltrated immune cells, and the molecular docking verification also showed that MMP9 and the main active components of HDW were well combined. Next, we predicted 6 miRNAs and 314 lncRNAs acting on MMP9, and two ceRNA regulatory axes were obtained according to the screening. Cellular assays indicated HDW inhibits RA-FLS cell proliferation and MMP9 protein expression dose-dependently, suggesting HDW might influence RA's progression by regulating the MMP9/miR-204-5p/MIAT axis. This innovative analytical thinking provides guidance and reference for the future research on the ceRNA mechanism of traditional Chinese medicine in the treatment of RA.

Indexed as

Arthritis, RheumatoidHedyotisMicroRNAsRNA, Long NoncodingComputational BiologyMatrix Metalloproteinase 9Molecular Docking SimulationNetwork PharmacologyMatrix Metalloproteinase 9MicroRNAsRNA, Long Noncoding

Identifiers

PMID38491124
PMCPMC10943027
OpenAlexW4392849420

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.