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Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study

BACKGROUND: Autoimmunity and inflammation are the main characteristics of rheumatic diseases and have both been found to be related to glaucoma. However, it remains unclear whether rheumatic diseases increase the risk of glaucoma. Here, we performed a Mendelian randomization (MR) analysis to investi...

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Autores principales: Meng, Yang, Tan, Zongbiao, Su, Yu, Li, Lu, Chen, Changzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550209/
https://www.ncbi.nlm.nih.gov/pubmed/37799717
http://dx.doi.org/10.3389/fimmu.2023.1227138
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author Meng, Yang
Tan, Zongbiao
Su, Yu
Li, Lu
Chen, Changzheng
author_facet Meng, Yang
Tan, Zongbiao
Su, Yu
Li, Lu
Chen, Changzheng
author_sort Meng, Yang
collection PubMed
description BACKGROUND: Autoimmunity and inflammation are the main characteristics of rheumatic diseases and have both been found to be related to glaucoma. However, it remains unclear whether rheumatic diseases increase the risk of glaucoma. Here, we performed a Mendelian randomization (MR) analysis to investigate the causal effects of six common rheumatic diseases on glaucoma. METHODS: Six rheumatic diseases were included: ankylosing spondylitis (AS), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), Sicca syndrome/Sjögren’s sydrome (SS), dermatomyositis (DM), and gout. Glaucoma included primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG). Genetic variants associated with these rheumatic diseases and glaucoma were extracted from the genome-wide association studies and FinnGen8 database, respectively. First, a two-sample MR was used to investigate the potential causal association. Then, a multivariable MR was conducted to further verify the results. Inverse-variance weighted MR analysis was used as the main method, together with several sensitivity analyses. RESULTS: Two-sample MR suggests that AS is related to a higher risk of both POAG [odds ratio (OR): 1.28, 95% confidence interval (CI) 1.13–1.44; p = 1.1 × 10(−4)] and PACG (OR: 1.55, 95% CI: 1.09–2.09, p = 1.4 × 10(−2)). Multivariable MR shows a similar trend of the effect of AS on POAG (OR: 1.52, 95% CI: 1.22–1.90, p = 1.9 × 10(−4)) and PACG (OR: 2.05, 95% CI: 1.06–3.95, p = 3.2 × 10(−2)). No significant association was observed between the other five rheumatic diseases and glaucoma. CONCLUSIONS: AS is related to an increased risk of POAG and PACG. We stress the importance of glaucoma screening for AS patients.
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spelling pubmed-105502092023-10-05 Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study Meng, Yang Tan, Zongbiao Su, Yu Li, Lu Chen, Changzheng Front Immunol Immunology BACKGROUND: Autoimmunity and inflammation are the main characteristics of rheumatic diseases and have both been found to be related to glaucoma. However, it remains unclear whether rheumatic diseases increase the risk of glaucoma. Here, we performed a Mendelian randomization (MR) analysis to investigate the causal effects of six common rheumatic diseases on glaucoma. METHODS: Six rheumatic diseases were included: ankylosing spondylitis (AS), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), Sicca syndrome/Sjögren’s sydrome (SS), dermatomyositis (DM), and gout. Glaucoma included primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG). Genetic variants associated with these rheumatic diseases and glaucoma were extracted from the genome-wide association studies and FinnGen8 database, respectively. First, a two-sample MR was used to investigate the potential causal association. Then, a multivariable MR was conducted to further verify the results. Inverse-variance weighted MR analysis was used as the main method, together with several sensitivity analyses. RESULTS: Two-sample MR suggests that AS is related to a higher risk of both POAG [odds ratio (OR): 1.28, 95% confidence interval (CI) 1.13–1.44; p = 1.1 × 10(−4)] and PACG (OR: 1.55, 95% CI: 1.09–2.09, p = 1.4 × 10(−2)). Multivariable MR shows a similar trend of the effect of AS on POAG (OR: 1.52, 95% CI: 1.22–1.90, p = 1.9 × 10(−4)) and PACG (OR: 2.05, 95% CI: 1.06–3.95, p = 3.2 × 10(−2)). No significant association was observed between the other five rheumatic diseases and glaucoma. CONCLUSIONS: AS is related to an increased risk of POAG and PACG. We stress the importance of glaucoma screening for AS patients. Frontiers Media S.A. 2023-09-19 /pmc/articles/PMC10550209/ /pubmed/37799717 http://dx.doi.org/10.3389/fimmu.2023.1227138 Text en Copyright © 2023 Meng, Tan, Su, Li and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Meng, Yang
Tan, Zongbiao
Su, Yu
Li, Lu
Chen, Changzheng
Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title_full Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title_fullStr Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title_full_unstemmed Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title_short Causal association between common rheumatic diseases and glaucoma: a Mendelian randomization study
title_sort causal association between common rheumatic diseases and glaucoma: a mendelian randomization study
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550209/
https://www.ncbi.nlm.nih.gov/pubmed/37799717
http://dx.doi.org/10.3389/fimmu.2023.1227138
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