Li Tong, Zhang Yingyue, Wang Xingzhi, Liu Qi, Ma Xiaofei, Sui Manshu
Department of Nephrology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Guangdong Technion-Israel Institute of Technology, Shantou, 515036, China.
Hum Genomics. 2025 May 13;19(1):53. doi: 10.1186/s40246-025-00768-z.
Previous studies have examined the cellular and molecular interactions between chronic kidney disease (CKD) and PANoptosis, yet the genetic underpinnings remain unclear.
Data at the summary level regarding the methylation, gene expression, and protein levels associated with PANoptosis were obtained from quantitative trait locus (QTL) studies. Genome-wide association study (GWAS) summary statistics for CKD were derived from a GWAS study, supplemented by a replication dataset from the FinnGen database. Genetic variants proximal to or within genes involved in PANoptosis, which showed robust associations with CKD, were utilized as instrumental variables. These variants were the subjected to SMR analysis to explore their causal relationship. The associations among QTLs were systematically analyzed. Additionally, a colocalization analysis was conducted to ascertain whether the signals identified corresponded to a shared genetic basis.
SMR and colocalization analysis revealed 28 methylation sites and 5 genes associated with CKD.Notably, cg01304814 (PRKAR2A) and cg09177106, cg15114474 (CCND1) were inversely associated with CKD risk. Integrating mQTL and eQTL data, we identified four genes (CCND1, GUCY2D, HGF, MADD) causally associated with CKD, with a positive correlation between HGF gene expression and protein levels.
Our results provide evidence for the PANoptosis-related genes in the pathogenesis of CKD. Notably, PRKAR2A, HGF, CCND1 and MADD, emerged as potential mediators in the pathogenesis of CKD.
Not applicable.
先前的研究已经探讨了慢性肾脏病(CKD)与PAN凋亡之间的细胞和分子相互作用,但其遗传基础仍不清楚。
从数量性状位点(QTL)研究中获得了与PAN凋亡相关的甲基化、基因表达和蛋白质水平的汇总数据。CKD的全基因组关联研究(GWAS)汇总统计数据来自一项GWAS研究,并辅以FinnGen数据库的复制数据集。将与PAN凋亡相关基因附近或内部的、与CKD有显著关联的遗传变异用作工具变量。对这些变异进行SMR分析以探索它们的因果关系。系统分析了QTL之间的关联。此外,进行了共定位分析以确定所识别的信号是否对应于共享的遗传基础。
SMR和共定位分析揭示了28个与CKD相关的甲基化位点和5个基因。值得注意的是,cg01304814(PRKAR2A)以及cg09177106、cg15114474(CCND1)与CKD风险呈负相关。整合mQTL和eQTL数据,我们确定了四个与CKD因果相关的基因(CCND1、GUCY2D、HGF、MADD),HGF基因表达与蛋白质水平呈正相关。
我们的结果为PAN凋亡相关基因在CKD发病机制中的作用提供了证据。值得注意的是,PRKAR2A、HGF、CCND1和MADD在CKD发病机制中成为潜在的介导因子。
不适用。