Evidence map›Paper›PMID 36193152›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Identification of Interleukin-1-Beta Inhibitors in Gouty Arthritis Using an Integrated Approach Based on Network Pharmacology, Molecular Docking, and Cell Experiments.

Liying Zeng, Zekun Lin, Pan Kang, Meng Zhang, Hongyu Tang, Miao Li, Kun Xu, Yamei Liu, Ziyun Jiang, Shaochuan Huo

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. 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
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Article
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 3 institutions in 1 country.

Liying ZengGuangzhou University of Chinese Medicine, Guangzhou 510405, China.ORCID https://orcid.org/0000-0002-8533-862X
Zekun LinGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Pan KangGuangzhou University of Chinese Medicine, Guangzhou 510405, China.ORCID https://orcid.org/0000-0002-5156-3167
Meng ZhangDepartment of Orthopedics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou 450003, China.
Hongyu TangGuangzhou University of Chinese Medicine, Guangzhou 510405, China.ORCID https://orcid.org/0000-0003-4350-3049
Miao LiGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Kun XuShi's Center of Orthopedics and Traumatology, Shuguang Hospital, Affiliated to Shanghai University of Traditional Chinese Medicine, Institute of Traumatology & Orthopedics, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China.
Yamei LiuGuangzhou University of Chinese Medicine, Guangzhou 510405, China.
Ziyun JiangShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen 518048, China.ORCID https://orcid.org/0000-0002-1367-4456
Shaochuan HuoShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen 518048, China.ORCID https://orcid.org/0000-0002-7117-6164
Guangzhou University of Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate the molecular mechanism of Tongfengding capsule (TFDC) in treating immune-inflammatory diseases of gouty arthritis (GA) and interleukin-1-beta (IL-1 Methods: In this study, the compounds of TFDC and the potential inflammatory targets of GA were obtained from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Online Mendelian Inheritance in Man (OMIM), and GeneCards databases. The TFDC-GA-potential targets interaction network was accomplished by the STRING database. The TFDC-active compound-potential target-GA network was constructed using Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to further explore the GA mechanism and therapeutic effects of TFDC. Quantitative real-time PCR (qPCR) was used to verify whether the TFDC inhibited IL-1 Result: 133 active compounds and 242 targets were screened from the TFDC, and 25 of the targets intersected with GA inflammatory targets, which were considered as potential therapeutic targets. Network pharmacological analysis showed that the TFDC active compounds such as quercetin, stigmasterol, betavulgarin, rutaecarpine, naringenin, dihydrochelerythrine, and dihydrosanguinarine had better correlation with GA inflammatory targets such as PTGS2, PTGS1, NOS2, SLC6A3, HTR3A, PPARG, MAPK14, RELA, MMP9, and MMP2. The immune-inflammatory signaling pathways of the active compounds for treating GA are IL-17 signaling pathway, TNF signaling pathway, NOD-like receptor signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, HIF-1 signaling pathway, etc. The TFDC reduced IL-1 Conclusion: Our findings provide an essential role and bases for further immune-inflammatory studies on the molecular mechanisms of TFDC and IL-1

Identifiers

PMID36193152
PMCPMC9526673
OpenAlexW4296343844

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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.