Evidence map›Paper›PMID 35356004›Full record

ArticleFrontiers in immunology2022

The Shared Mechanism and Candidate Drugs of Multiple Sclerosis and Sjögren's Syndrome Analyzed by Bioinformatics Based on GWAS and Transcriptome Data.

Xiangxiang Hong, Xin Wang, Xinming Rang, Xinyue Yin, Xuemei Zhang, Rui Wang, Duo Wang, Tingting Zhao, Jin Fu

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, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  11. GITRL impairs the immunosuppressive function of MDSCs via PTEN-mediated signaling pathway in experimental Sjögren syndrome.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
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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

9 authors at 2 institutions in 1 country.

Xiangxiang HongDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinming RangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinyue YinDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuemei ZhangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Rui WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Duo WangDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Tingting ZhaoDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jin FuDepartment of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Second Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the shared mechanism and candidate drugs of multiple sclerosis (MS) and Sjögren's syndrome (SS). Methods: MS- and SS-related susceptibility genes and differentially expressed genes (DEGs) were identified by bioinformatics analysis based on genome-wide association studies (GWAS) and transcriptome data from GWAS catalog and Gene Expression Omnibus (GEO) database. Pathway enrichment, Gene Ontology (GO) analysis, and protein-protein interaction analysis for susceptibility genes and DEGs were performed. The drugs targeting common pathways/genes were obtained through Comparative Toxicogenomics Database (CTD), DrugBank database, and Drug-Gene Interaction (DGI) Database. The target genes of approved/investigational drugs for MS and SS were obtained through DrugBank and compared with the common susceptibility genes. Results: Based on GWAS data, we found 14 hub common susceptibility genes ( Conclusion: We observed the shared mechanism of MS and SS, in which JAK-STAT signaling pathway played a vital role, which may be the genetic and molecular bases of comorbidity of MS with SS. Moreover, JAK-STAT inhibitors were potential therapies for MS and SS, especially for their comorbidity.

Indexed as

Multiple SclerosisSjogren's SyndromeComputational BiologyDaclizumabGenome-Wide Association StudyGlatiramer AcetateHLA-DRB1 ChainsHumansTranscriptomeDaclizumabGlatiramer AcetateHLA-DRB1 ChainscomorbidityGWASmultiple sclerosisSjögren’s syndrometranscriptome

Identifiers

PMID35356004
PMCPMC8959321
OpenAlexW4220783891

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.