Zhejiang Provincial People's Hospital, Qingdao University, Hangzhou, Zhejiang, China.
Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Front Endocrinol (Lausanne). 2023 Jul 4;14:1169933. doi: 10.3389/fendo.2023.1169933. eCollection 2023.
A causal relationship concerning coffee intake and diabetic nephropathy (DN) is controversial. We conducted a Mendelian randomization study to assess the causal nature of these associations.
40 independent single nucleotide polymorphisms (SNPs) associated with coffee intake were selected from the UK Biobank study. Summary-level data for diabetic nephropathy were obtained from publicly available genome-wide association studies (GWAS) and the FinnGen consortium. Inverse variance weighted (IVW), MR-Egger, and weighted median (WM) methods were used to examine a causal association. Sensitivity analyses included Cochran's Q test, the intercept of MR-Egger, MR-PRESSO, and the Outlier method. Leave-One-Out sensitivity analyses were also conducted to reduce the heterogeneity.
Our current study demonstrated positive associations of genetically predicted coffee intake with diabetic nephropathy (OR=1.939; = 0.045 and type 2 diabetes with renal complications (OR = 2.787, = 0.047). These findings were robust across several sensitivity analyses.
This study found a positive correlation between coffee consumption and the risk of diabetic nephropathy using genetic data. For a more accurate and trustworthy conclusion, subgroup analysis on coffee intake, including preparing method, variety of coffee, and quantity, is required.
咖啡摄入量与糖尿病肾病(DN)之间的因果关系尚存在争议。本研究采用孟德尔随机化方法来评估这些关联的因果性质。
从英国生物库研究中选择了 40 个与咖啡摄入量相关的独立单核苷酸多态性(SNP)。从公开的全基因组关联研究(GWAS)和芬兰遗传研究联盟中获得了糖尿病肾病的汇总水平数据。采用逆方差加权(IVW)、MR-Egger 和加权中位数(WM)方法来检验因果关系。敏感性分析包括 Cochran's Q 检验、MR-Egger 的截距、MR-PRESSO 和异常值方法。还进行了逐一剔除敏感性分析以减少异质性。
本研究表明,遗传预测的咖啡摄入量与糖尿病肾病(OR=1.939; = 0.045)和伴有肾脏并发症的 2 型糖尿病(OR = 2.787, = 0.047)呈正相关。这些发现经过多次敏感性分析后仍然稳健。
本研究使用遗传数据发现了咖啡摄入与糖尿病肾病风险之间的正相关关系。为了得出更准确和可靠的结论,需要对咖啡摄入量进行亚组分析,包括制备方法、咖啡种类和数量等方面。