Evidence map›Paper›PMID 35371093›Full record

ArticleFrontiers in immunology2022

Osteoarticular Involvement-Associated Biomarkers and Pathways in Psoriasis: The Shared Pathway With Ankylosing Spondylitis.

Yu-Ping Zhang, Xing Wang, Li-Gang Jie, Yuan Qu, Xiao-Tong Zhu, Jing Wu, Qing-Hong Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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
1.4field-weighted citation impact, top 19% 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, 18 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

7 authors at 2 institutions in 1 country.

Yu-Ping ZhangDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xing WangDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Li-Gang JieDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yuan QuDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xiao-Tong ZhuDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jing WuDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qing-Hong YuDepartment of Rheumatology and Clinical Immunology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriatic arthritis (PsA) is a unique immune-mediated disease with cutaneous and osteoarticular involvement. However, only a few studies have explored the susceptibility of osteoarticular involvement in psoriasis (Ps) at the genetic level. This study investigated the biomarkers associated with osteoarticular participation and potential shared molecular mechanisms for PsA and ankylosing spondylitis (AS). Methods: The RNA-seq data of Ps, PsA, and AS in the Gene Expression Omnibus (GEO) database were obtained. First, we used the limma package and the weighted gene co-expression network analysis (WGCNA) to identify the potential genes related to PsA and AS. Then, the shared genes in PsA and AS were performed using the GO, KEGG, and GSEA analyses. We also used machine learning to screen hub genes. The results were validated using external datasets and native cohorts. Finally, we used the CIBERSORT algorithm to estimate the correlation between hub genes and the abundance of immune cells in tissues. Results: An overlap was observed between the PsA and AS-related modules as 9 genes. For differentially expressed genes in AS and PsA, only one overlapping gene was found (COX7B). Gene enrichment analysis showed that the above 9 genes might be related to the mRNA surveillance pathway. The GSEA analyses showed that COX7B was involved in adaptive immune response, cell activation, etc. The PUM1 and ZFP91, identified from the support vector machine, had preferable values as diagnostic markers for osteoarticular involvement in Ps and AS (AUC > 0.7). Finally, CIBERSORT results showed PUM1 and ZFP91 involvement in changes of the immune microenvironment. Conclusion: For the first time, this study showed that the osteoarticular involvement in psoriasis and AS could be mediated by the mRNA surveillance pathway-mediated abnormal immunologic process. The biological processes may represent the cross talk between PsA and AS. Therefore, PUM1 and ZFP91 could be used as potential biomarkers or therapeutic targets for AS and Ps patients.

Indexed as

Arthritis, PsoriaticPsoriasisSpondylitis, AnkylosingBiomarkersHumansMaleProstate-Specific AntigenRNA-Binding ProteinsRNA, MessengerUbiquitin-Protein LigasesBiomarkersProstate-Specific AntigenPUM1 protein, humanRNA-Binding ProteinsRNA, MessengerUbiquitin-Protein LigasesZFP91 protein, humanankylosing spondylitisdifferential gene analysispsoriasispsoriatic arthritisWGCNA

Identifiers

PMID35371093
PMCPMC8969572
OpenAlexW4221023368

What OpenQuestion holds

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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.