Relationship between immune cells and diabetic nephropathy: a Mendelian randomization study

Objective Although previous studies have suggested potential correlations between immunocytes and diabetic nephropathy (DN), the causal correlations between them remain unclarified. In this study, we employed Mendelian randomization (MR) to analyze the potential causative correlations between immune...

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Bibliographic Details
Published in:Acta diabetologica 2024-10, Vol.61 (10), p.1251-1258
Main Authors: Li, Xin, Zhang, Liangyou, Yan, Chuang, Zeng, Huo, Chen, Gangyi, Qiu, Jianwen
Format: Article
Language:English
Subjects:
Asian People - genetics
Beta cells
CD11c antigen
CD14 antigen
CD16 antigen
CD27 antigen
CD28 antigen
CD4 antigen
CD45RA antigen
CD8 antigen
Dendritic cells
Diabetes
Diabetes mellitus
Diabetic Nephropathies - genetics
Diabetic Nephropathies - immunology
Diabetic nephropathy
Genetic Predisposition to Disease
Genome-wide association studies
Genome-Wide Association Study
Histocompatibility antigen HLA
Humans
Immunoglobulin D
Internal Medicine
Lymphocytes
Lymphocytes T
Medicine
Medicine & Public Health
Mendelian Randomization Analysis
Metabolic Diseases
Monocytes
Nephropathy
Original Article
Pleiotropy
Polymorphism, Single Nucleotide
Population studies
Single-nucleotide polymorphism
Statistical analysis
White People - genetics
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Summary:Objective Although previous studies have suggested potential correlations between immunocytes and diabetic nephropathy (DN), the causal correlations between them remain unclarified. In this study, we employed Mendelian randomization (MR) to analyze the potential causative correlations between immune 731 cells and DN. Methods We used the Genome-Wide Association Studies (GWAS) database to aggregate signatures of immune cells and DN from European and East Asian populations. Single-nucleotide polymorphisms (SNPs) were used as instrumental variables. MR analysis was conducted using Mendelian randomization–Egger (MR-Egger) regression and the random-effects inverse-variance weighted (IVW) method. Results A total of 3,571 SNPs were included as instrumental variables. The MR-Egger regression model indicated no genetic pleiotropy ( P  = 0.6284). The results of the IVW method indicated a statistically significant causal relationship between immune cell HLA-DR on CD14–CD16– ( P  = 0.029), CD45RA–CD28–CD8 + T cell% T cells ( P  = 0.0278), CD11c on myeloid dendritic cells ( P  = 0.0352), HLA-DR on CD14 + monocytes ( P  
ISSN:1432-5233
0940-5429
1432-5233
DOI:10.1007/s00592-024-02293-2