Shen Ning, Lu Shangwei, Kong Zhijuan, Gao Ying, Hu Jinxiu, Si Shuxuan, Wang Junlin, Li Jie, Han Wei, Wang Rong, Lv Zhimei
Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
Diabetol Metab Syndr. 2024 Jul 16;16(1):164. doi: 10.1186/s13098-024-01386-w.
Diabetic nephropathy (DN) is a critical inflammatory condition linked to diabetes, affecting millions worldwide. This study employs Mendelian randomization (MR) to explore the causal relationship between immune cell signatures and DN, analyzing over 731 immune signatures and incorporating data from 1400 metabolites to investigate potential mediators. Despite no statistically significant influence of DN on immunophenotypes after FDR correction, some phenotypes with unadjusted low P-values warranted mention, including CD34 on Hematopoietic Stem Cell (Myeloid cell Panel), CD45 on CD33 HLA DR (Myeloid cell Panel). Furthermore, three immunophenotypes were identified to have a significant impact on DN risk: CD16CD56 on HLA DR NK (TBNK Panel), CD45 on HLA DR T cell (TBNK Panel), and CD33 HLA DR CD11b AC (Myeloid cell Panel). Our findings underscore the critical role of immune cells in DN, highlighting potential mediators and offering new insights into its underlying mechanisms.
糖尿病肾病(DN)是一种与糖尿病相关的严重炎症性疾病,影响着全球数百万人。本研究采用孟德尔随机化(MR)方法来探索免疫细胞特征与DN之间的因果关系,分析了超过731种免疫特征,并纳入了1400种代谢物的数据以研究潜在的中介物。尽管在错误发现率(FDR)校正后,DN对免疫表型没有统计学上的显著影响,但一些未经调整的低P值的表型值得一提,包括造血干细胞(髓细胞面板)上的CD34、CD33 HLA DR(髓细胞面板)上的CD45。此外,确定了三种免疫表型对DN风险有显著影响:HLA DR NK(TBNK面板)上的CD16CD56、HLA DR T细胞(TBNK面板)上的CD45以及CD33 HLA DR CD11b AC(髓细胞面板)。我们的研究结果强调了免疫细胞在DN中的关键作用,突出了潜在的中介物,并为其潜在机制提供了新的见解。