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18.05.2024 | Original Article

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

verfasst von: Xin Li, Liangyou Zhang, Chuang Yan, Huo Zeng, Gangyi Chen, Jianwen Qiu

Erschienen in: Acta Diabetologica

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Abstract

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 < 0.001), CD27 on CD24 + CD27 + B cells (P = 0.0334), CD27 on IgD + CD24 + B cells (P = 0.0137), CD4 on CD39 + CD4 + T cells (P = 0.0347), CD28 on CD39 + CD4 + T cells (P = 0.0414), CD39 on CD39 + CD4 + T cells (P = 0.0426), and DN. Additionally, there was no heterogeneity in SNPs related HLA-DR on CD14–CD16–cells and DN(I2 = 32%, Cochran’s Q = 2.9476, P = 0.2291). Moreover, leave-one-out analysis showed a causal correlation between HLA-DR on CD14–CD16– cells and DN.

Conclusion

Higher expression of immune cell HLA-DR on CD14–CD16– cells may indicate a lower risk of DN.
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Metadaten
Titel
Relationship between immune cells and diabetic nephropathy: a Mendelian randomization study
verfasst von
Xin Li
Liangyou Zhang
Chuang Yan
Huo Zeng
Gangyi Chen
Jianwen Qiu
Publikationsdatum
18.05.2024
Verlag
Springer Milan
Erschienen in
Acta Diabetologica
Print ISSN: 0940-5429
Elektronische ISSN: 1432-5233
DOI
https://doi.org/10.1007/s00592-024-02293-2

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