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Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis.

Publication ,  Journal Article
Zhao, H; Li, S; Xie, M; Chen, R; Lu, H; Wen, C; Filiano, AJ; Xu, Z
Published in: Ther Adv Chronic Dis
2020

BACKGROUND: An increasing number of studies support an association between rheumatoid arthritis (RA) and brain disorders. This study aims to determine the association between RA and epilepsy. METHODS: A comprehensive search of databases in both English and Chinese was performed. Data from the selected studies were extracted and analyzed independently by two authors. Genes associated with epilepsy and RA were also collected and analyzed. RESULTS: We included six nationwide population based studies (n = 7,094,113 cases in total) for the meta-analysis. The risk of epilepsy was increased in RA patients [risk ratio (RR) = 1.601; 95% confidence interval (CI): 1.089-2.354; p = 0.017; n = 3,803,535 cases] and children born to mothers with RA (RR = 1.475; 95% CI: 1.333-1.633; p < 0.001, n = 3,290,578 cases). Subgroup analysis and meta-regression showed the RR of epilepsy in RA was negatively correlated with age. Furthermore, we found that 433 identified genes in a coexpression network from the hippocampi of 129 epileptic patients were enriched in the RA and related Kyoto Encyclopedia of Genes and Genomes pathways, while 13 genes (mainly related to inflammatory cytokines and chemokines) were identified as potential key genes bridging the RA and epilepsy. CONCLUSIONS: Our study, utilizing meta-analysis and bioinformatical data, highlights a close association between epilepsy and RA. Further studies are still warranted to expand these findings, especially for a population that is exposed to RA during fetal and childhood periods.

Duke Scholars

Published In

Ther Adv Chronic Dis

DOI

ISSN

2040-6223

Publication Date

2020

Volume

11

Start / End Page

2040622319899300

Location

United States

Related Subject Headings

  • 4203 Health services and systems
  • 3214 Pharmacology and pharmaceutical sciences
  • 3202 Clinical sciences
 

Citation

APA
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Zhao, H., Li, S., Xie, M., Chen, R., Lu, H., Wen, C., … Xu, Z. (2020). Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis. Ther Adv Chronic Dis, 11, 2040622319899300. https://doi.org/10.1177/2040622319899300
Zhao, Huawei, Shan Li, Meijuan Xie, Rongrong Chen, Haimei Lu, Chengping Wen, Anthony J. Filiano, and Zhenghao Xu. “Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis.Ther Adv Chronic Dis 11 (2020): 2040622319899300. https://doi.org/10.1177/2040622319899300.
Zhao H, Li S, Xie M, Chen R, Lu H, Wen C, et al. Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis. Ther Adv Chronic Dis. 2020;11:2040622319899300.
Zhao, Huawei, et al. “Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis.Ther Adv Chronic Dis, vol. 11, 2020, p. 2040622319899300. Pubmed, doi:10.1177/2040622319899300.
Zhao H, Li S, Xie M, Chen R, Lu H, Wen C, Filiano AJ, Xu Z. Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis. Ther Adv Chronic Dis. 2020;11:2040622319899300.
Journal cover image

Published In

Ther Adv Chronic Dis

DOI

ISSN

2040-6223

Publication Date

2020

Volume

11

Start / End Page

2040622319899300

Location

United States

Related Subject Headings

  • 4203 Health services and systems
  • 3214 Pharmacology and pharmaceutical sciences
  • 3202 Clinical sciences