Evidence map›Paper›PMID 37246213›Full record

ArticleJournal of orthopaedic surgery and research2023

Discovery of CLEC2B as a diagnostic biomarker and screening of celastrol as a candidate drug for psoriatic arthritis through bioinformatics analysis.

Min Niu, Jingman Yuan, Meixi Yan, Ge Yang, Ziyi Yan, Xichao Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. 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
1.6field-weighted citation impact, top 16% 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, 4 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

6 authors at 1 institution in 1 country.

Min NiuDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Jingman YuanDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Meixi YanDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Ge YangDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Ziyi YanDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China.
Xichao YangDepartment of Rheumatology Immunology and Endocrinology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. yangxichao004@126.com.
Xi'an Honghui Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriatic arthritis (PSA) is a chronic, immune-mediated inflammatory joint disease that is liked to mortality due to cardiovascular disease. Diagnostic markers and effective therapeutic options for PSA remain limited due to the lack of understanding of the pathogenesis. We aimed to identify potential diagnostic markers and screen the therapeutic compounds for PSA based on bioinformatics analysis.

methodsDifferentially expressed genes (DEGs) of PSA were identified from the GSE61281 dataset. WGCNA was used to identify PSA-related modules and prognostic biomarkers. Clinical samples were collected to validate the expression of the diagnostic gene. These DEGs were subjected to the CMap database for the identification of therapeutic candidates for PSA. Potential pathways and targets for drug candidates to treat PSA were predicted using Network Pharmacology. Molecular docking techniques were used to validate key targets.

resultsCLEC2B was identified as a diagnostic marker for PSA patients (AUC > 0.8) and was significantly upregulated in blood samples. In addition, celastrol was identified as a candidate drug for PSA. Subsequently, the network pharmacology approach identified four core targets (IL6, TNF, GAPDH, and AKT1) of celastrol and revealed that celastrol could treat PSA by modulating inflammatory-related pathways. Finally, molecular docking demonstrated stable binding of celastrol to four core targets in the treatment of PSA. Animal experiments indicated celastrol alleviated inflammatory response in the mannan-induced PSA.

conclusionCLEC2B was a diagnostic marker for PSA patients. Celastrol was identified as a potential therapeutic drug for PSA via regulating immunity and inflammation.

Indexed as

Arthritis, PsoriaticAnimalsBiomarkersComputational BiologyMolecular Docking SimulationPentacyclic TriterpenesBiomarkerscelastrolPentacyclic TriterpenesBioinformatics analysisCelastrolMolecular dockingPsoriasisPsoriatic arthritis

Identifiers

PMID37246213
PMCPMC10226212
OpenAlexW4378627960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.