Evidence map›Paper›PMID 32959187›Full record

ArticleClinical rheumatology2021

Weighted gene co-expression network analysis identifies RHOH and TRAF1 as key candidate genes for psoriatic arthritis.

Jiange He, Jiqiang Tang, Qijin Feng, Tong Li, Kainan Wu, Kairui Yang, Dong Jia, Qun Xia

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Article in Clinical rheumatology, 2021. 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
0.4field-weighted citation impact, top 37% 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

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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, 2 citations in OpenAlex.

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4 · The record

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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

8 authors at 6 institutions in 1 country.

Jiange He *Logistics University of Chinese Armed Police Force, Tianjin, China.
Jiqiang Tang *Orthopedics Department, Characteristic Medical Center of People's Armed Police Force, Tianjin, China.
Qijin FengThe Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Tong LiOrthopedics Department, Characteristic Medical Center of People's Armed Police Force, Tianjin, China.
Kainan WuOrthopedics Department, Tianjin Third Central Hospital, Tianjin, China.
Kairui YangPLA 960th Hospital, Jinan, China.
Dong JiaLogistics University of Chinese Armed Police Force, Tianjin, China.
Qun XiaOrthopedics Department, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, 300000, China. xiaquntj@163.com.ORCID http://orcid.org/0000-0001-7550-5394
Chinese People's Armed Police Force Medical College Affiliated Hospital · CNLogistics University of People's Armed Police Force · CN82th Hospital of Pla · CNTianjin First Center Hospital · CNTianjin Third Central Hospital · CNTianjin University of Traditional Chinese Medicine · CN

Funding

National Natural Science Foundation of China 81572199Tianjin Application Foundation and Cutting Edge Technology Research Project 15JCYBYC50600
6 · The paper itself

Abstract

backgroundPsoriatic arthritis (PsA) is inflammatory arthritis associated with psoriasis, which involves the axial joint and the distal interphalangeal joints. Its clinical features are varied, often resulting in delayed diagnosis and treatment. Improved knowledge about disease mechanisms will catalyze the rapid development of effective targeted therapies for this disease. The perturbations in the gene co-expression network may not be detected by the differential expression analysis of the microarray. This study aims to identify key modules and hub genes in psoriatic arthritis-applied WGCNA (weighted gene co-expression network analysis) on a microarray.

methodsThis study downloaded the array data of GSE61281 from the gene expression overview (GEO) database, which includes 20 psoriatic arthritis samples and 12 healthy controls. The analysis was performed with the WGCNA package. Gene ontology (GO) annotation and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on these key modules. Candidate hub genes were identified using GS and MM measures, Cytoscape, and the online database STRING.

resultsA total of 10 co-expression modules were constructed. The lightcyan module was identified as the key module. GO and KEGG pathway analyses were mainly enriched in dephosphorylation, regulation of small GTPase-mediated signal transduction, Ras signaling pathway, MAPK signaling pathway, and vascular smooth muscle contraction. Two hub genes, RHOH/TRAF1, were selected.

conclusionsThis finding may indicate that RHOH/TRAF1 play a critical role in the pathogenesis of PsA. This is one of the first studies in PsA using WGCNA, which may provide a new research direction for further understanding of the molecular mechanism and clinical application of PsA. Key points • The WGCNA method was applied to the expression profile microarray of psoriatic arthritis and the co-expression module was constructed. • Identify the key modules by combining the onset time of psoriasis in patients with psoriatic arthritis. • Three screening methods are used to identify and verify hub genes of key modules.

Indexed as

Arthritis, PsoriaticGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansrho GTP-Binding ProteinsTNF Receptor-Associated Factor 1Transcription Factorsrho GTP-Binding ProteinsRhoH protein, humanTNF Receptor-Associated Factor 1Transcription FactorsComputational BiologyGene expressionPsoriatic arthritisWGCNA

Identifiers

PMID32959187
OpenAlexW3087735233

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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.