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Abstract
Although there is an association between abdominal aortic aneurysm (AAA) and circulating immune cell phenotypes, the exact causal relationship remains unclear. This study aimed to explore the causal relationships between immune cell phenotypes and AAA risk using a bidirectional two-sample Mendelian randomization approach. Data from genome-wide association studies pertaining to 731 immune cell traits and AAA were systematically analyzed. Using strict selection criteria, we identified 339 immune traits that are associated with at least 3 single nucleotide polymorphisms. A comprehensive MR analysis was conducted using several methods including Inverse Variance Weighted, Weighted Median Estimator, MR-Egger regression, Weighted Mode, and Simple Median methods. CD24 on switched memory cells (OR = 0.922, 95% CI 0.914–0.929, P = 2.62e−79) at the median fluorescence intensities level, and SSC-A on HLA-DR + natural killer cells (OR = 0.873, 95% CI 0.861–0.885, P = 8.96e−81) at the morphological parameter level, exhibited the strongest causal associations with AAA. In the reverse analysis, no significant causal effects of AAA on immune traits were found. The study elucidates the causal involvement of multiple circulating immune cell phenotypes in AAA development, signifying their potential as diagnostic markers or therapeutic targets. These identified immune traits may be crucial in modulating AAA-related inflammatory pathways.
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1 West China Hospital, Sichuan University, Department of Cardiovascular Surgery, Chengdu, People’s Republic of China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581)
2 West China Hospital, Sichuan University, Department of Vascular Surgery, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022); West China Hospital, Sichuan University, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022); West China Hospital, Sichuan University, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), Department of Clinical Research Management, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022)
3 West China Hospital, Sichuan University, Center of Biostatistics, Design, Measurement and Evaluation (CBDME), Department of Clinical Research Management, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022)
4 West China Hospital, Sichuan University, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Chengdu, People’s Republic of China (GRID:grid.412901.f) (ISNI:0000 0004 1770 1022)
5 Sichuan University, West China School of Public Health, Chengdu, People’s Republic of China (GRID:grid.13291.38) (ISNI:0000 0001 0807 1581)