Association of autoimmune diseases with the occurrence of osteoarthritis: a gene expression and Mendelian randomization study
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View abstract on PubMed
Summary
This summary is machine-generated.This study found that five autoimmune diseases, including Rheumatoid Arthritis (RA), are linked to Osteoarthritis (OA) development. Metabolism-related pathways may play a key role in the co-morbidity of these conditions.
Area Of Science
- Genetics and Epidemiology
- Immunology
- Rheumatology
Background
- Observational studies suggest a link between autoimmune diseases and Osteoarthritis (OA).
- Increased mortality risk is noted in patients with both conditions.
- A causal relationship between autoimmune diseases and OA remains unconfirmed.
Purpose Of The Study
- To investigate the potential causal relationship between autoimmune disorders and Osteoarthritis (OA) using Mendelian randomization (MR).
- To explore shared pathogenesis and identify potential therapeutic targets for co-morbid autoimmune diseases and OA.
Main Methods
- Utilized Mendelian randomization (MR) with Genome-wide association study (GWAS) data from MRC-IEU and FinnGen.
- Performed univariable, multivariable, and reverse MR analyses.
- Conducted mediation analysis, observational analysis using the MIMIC-IV database, and transcriptome data analysis.
Main Results
- Identified five autoimmune diseases associated with OA: Celiac disease, Crohn's disease, Ankylosing spondylitis, Rheumatoid Arthritis (RA), and Ulcerative colitis.
- Found no correlation between cytokines and the co-morbidity of autoimmune diseases and OA.
- Transcriptome data analysis indicated that metabolism-related pathways are crucial in the co-morbidity of autoimmune diseases and OA.
Conclusions
- Genes associated with Celiac disease, Crohn's disease, Ankylosing spondylitis, RA, and Ulcerative colitis are independently linked to OA development.
- Identified potential shared pathogenic genes between these autoimmune diseases and OA.
- Suggests a novel approach for simultaneous treatment of multiple conditions by targeting shared pathways.
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