{"title":"Relationship between Guillain-Barré syndrome and cardiovascular disease: a bidirectional Mendelian randomization study.","authors":"Tianyi Wang, Na Li, Yong Zeng","doi":"10.1152/physiolgenomics.00048.2024","DOIUrl":null,"url":null,"abstract":"<p><p>Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs) have been observed to have a potential association, with GBS potentially leading to cardiovascular complications. However, these observational studies may be influenced by confounding factors. This study aimed to assess the causal relationship between GBS and CVDs, including heart failure (HF), atrial fibrillation (AF), and coronary artery disease (CAD), using a two-sample bidirectional Mendelian randomization (MR) analysis. We analyzed four datasets from the UK Biobank, selecting only datasets of European origin according to predetermined criteria to avoid population stratification bias. Datasets for GBS and CVDs were retrieved from the UK Biobank and analyzed using selected instrumental variables (IVs) related to genetic variations. Sensitivity tests, including heterogeneity and horizontal pleiotropy tests, were conducted to ensure the reliability of the selected IVs. The analysis results were then visualized to illustrate the causal relationships. The study identified genetic variants as IVs for both GBS and CVDs. MR analysis revealed a significant causal effect of GBS on the increased risk of HF [inverse-variance weighted (IVW), <i>P</i> < 0.05], but no significant causal relationship was found between GBS and AF or CAD. Similarly, no causal effect of CVDs on the occurrence of GBS was observed. Sensitivity analyses indicated no significant heterogeneity or horizontal pleiotropy, supporting the robustness of the results. These findings underscore the importance of considering cardiovascular complications, particularly HF, in the clinical management of patients with GBS in European populations.<b>NEW & NOTEWORTHY</b> This study utilizes bidirectional Mendelian randomization to analyze the causal relationships between Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs). It uniquely demonstrates a significant causal link from GBS to an increased risk of heart failure (HF), without similar effects on atrial fibrillation (AF) or coronary artery disease (CAD). No reverse causality from CVDs to GBS was found, highlighting the need for targeted cardiovascular management in patients with GBS.</p>","PeriodicalId":20129,"journal":{"name":"Physiological genomics","volume":" ","pages":"80-90"},"PeriodicalIF":2.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1152/physiolgenomics.00048.2024","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/28 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs) have been observed to have a potential association, with GBS potentially leading to cardiovascular complications. However, these observational studies may be influenced by confounding factors. This study aimed to assess the causal relationship between GBS and CVDs, including heart failure (HF), atrial fibrillation (AF), and coronary artery disease (CAD), using a two-sample bidirectional Mendelian randomization (MR) analysis. We analyzed four datasets from the UK Biobank, selecting only datasets of European origin according to predetermined criteria to avoid population stratification bias. Datasets for GBS and CVDs were retrieved from the UK Biobank and analyzed using selected instrumental variables (IVs) related to genetic variations. Sensitivity tests, including heterogeneity and horizontal pleiotropy tests, were conducted to ensure the reliability of the selected IVs. The analysis results were then visualized to illustrate the causal relationships. The study identified genetic variants as IVs for both GBS and CVDs. MR analysis revealed a significant causal effect of GBS on the increased risk of HF [inverse-variance weighted (IVW), P < 0.05], but no significant causal relationship was found between GBS and AF or CAD. Similarly, no causal effect of CVDs on the occurrence of GBS was observed. Sensitivity analyses indicated no significant heterogeneity or horizontal pleiotropy, supporting the robustness of the results. These findings underscore the importance of considering cardiovascular complications, particularly HF, in the clinical management of patients with GBS in European populations.NEW & NOTEWORTHY This study utilizes bidirectional Mendelian randomization to analyze the causal relationships between Guillain-Barré syndrome (GBS) and cardiovascular diseases (CVDs). It uniquely demonstrates a significant causal link from GBS to an increased risk of heart failure (HF), without similar effects on atrial fibrillation (AF) or coronary artery disease (CAD). No reverse causality from CVDs to GBS was found, highlighting the need for targeted cardiovascular management in patients with GBS.
期刊介绍:
The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.