Medical Scientist Training Program, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA.
Department of Epidemiology, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA.
Sci Rep. 2024 Aug 1;14(1):17757. doi: 10.1038/s41598-024-68470-z.
Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression.
慢性肾脏病(CKD)影响了美国约七分之一的成年人,但非裔美国人(AA)承受着不成比例的更高疾病负担。表观遗传修饰,如胞嘧啶-磷酸-鸟嘌呤(CpG)位点的 DNA 甲基化,与肾功能有关,并且可能在预测 CKD 风险方面具有临床应用价值。鉴于表观基因组、环境和疾病之间的动态关系,AA 可能对环境驱动的甲基化改变特别敏感。此外,包含 CpG 甲基化的风险模型已被证明可以预测多个种族群体的疾病。在这项研究中,我们在 AA 队列中开发了用于 CKD 的甲基化风险评分(MRS)。我们选择了之前在全基因组关联研究中与估计肾小球滤过率(eGFR)相关的九个 CpG 位点来构建高血压遗传流行病学网络(HyperGEN)中的 MRS。在逻辑混合模型中,MRS 与现患 CKD 显著相关,并且在包括 CKD 风险因素在内的多种敏感性分析中具有稳健性。在验证队列中进行了适度的复制。总之,我们证明了基于 eGFR 的 CpG 评分是现患 CKD 的独立预测因子,这表明 MRS 应该进一步研究其在评估 CKD 风险和进展方面的临床应用价值。