Chrome Extension
WeChat Mini Program
Use on ChatGLM

The Causal Relationship Between Immune Cells and Diabetic Retinopathy: a Mendelian Randomization Study

Yunyan Ye,Lei Dai, Hong Gu, Lan Yang, Zhangxing Xu, Zhiguo Li

Frontiers in immunology(2024)

Cited 0|Views1
No score
Abstract
PurposeThis article explored the causal relationship between immune cells and diabetic retinopathy (DR) using single nucleotide polymorphisms (SNPs) as an instrumental variable and Mendelian randomization (MR).MethodsStatistical data were collected from a publicly available genome-wide association study (GWAS), and SNPs that were significantly associated with immune cells were used as instrumental variables (IVs). Inverse variance weighted (IVW) and MR−Egger regression were used for MR analysis. A sensitivity analysis was used to test the heterogeneity, horizontal pleiotropy, and stability of the results.ResultsWe investigated the causal relationship between 731 immune cells and DR risk. All the GWAS data were obtained from European populations and from men and women. The IVW analysis revealed that HLA DR on CD14+ CD16- monocytes, HLA DR on CD14+ monocytes, HLA DR on CD33-HLA DR+, HLA DR on CD33+ HLA DR+ CD14- on CD33+ HLA DR+ CD14dim, and HLA DR on myeloid dendritic cells may increase the risk of DR (P<0.05). HLA DR to CD14-CD16- cells, the monocytic myeloid-derived suppressor cell absolute count, the SSC-A count of CD4+ T cells, and terminally differentiated CD4+ T cells may be protective factors against DR (P<0.05). The sensitivity analysis indicated no heterogeneity or pleiotropy among the selected SNPs. Furthermore, gene annotation of the SNPs revealed significant associations with 10 genes related to the risk of developing PDR and potential connections with 12 other genes related to PDR.ConclusionMonocytes and T cells may serve as new biomarkers or therapeutic targets, leading to the development of new treatment options for managing DR.
More
Translated text
Key words
Mendelian randomization,immune cells,diabetic retinopathy,proliferative diabetic retinopathy,causal effect
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined