在2型糖尿病风险人群中使用尿路类药物进行差异化风险评估
Anja Schork1, Andreas Fritsche1, Erwin D Schleicher2
1Department of Internal Medicine IV, Division of Endocrinology, Diabetology and Nephrology, University Hospital Tübingen, Germany; Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Otfried-Müller-Strasse 10, 72076 Tübingen, Germany; German Center for Diabetes Research (DZD), Otfried-Müller-Strasse 10, 72076 Tübingen, Germany.
Metabolism: clinical and experimental
|March 1, 2025
概括
尿组分析在糖尿病前期群体中发现了不同的风险概况. 新型组合可以区分高风险个体,有助于早期干预2型糖尿病并发症.
科学领域:
- 生物化学 生物化学
- 代谢学 代谢学 代谢学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 糖尿病前期被分为六个群体,对2型糖尿病及其并发症的风险进行分层.
- 高风险集群,特别是集群6,显示脏病和死亡率的风险增加.
- 尿类别分类器 (CKD273,HF2,CAD238) 在识别慢性病和心血管疾病的风险方面具有潜力.
研究的目的:
- 调查尿类分类器是否可以在糖尿病前期群体中区分并发症风险.
- 确定一种新组合是否可以区分高风险和低风险的糖尿病前期群.
主要方法:
- 在6个糖尿病前集群中,从249名个体的样本上进行了尿酸皮体分析.
- 预先定义的尿路分类器 (CKD273,HF2,CAD238) 为每个参与者计算.
- 拉索回归确定了一个最佳的组合来区分风险集群.
主要成果:
- 尿类别分类器 (CKD273,HF2,CAD238) 在前糖尿病集群中显著差异,在高风险集群6.6中值较高.
- 这些分类因子与胰岛素敏感性相反相关.
- 一种112组合有效地区分了低风险和高风险前糖尿病群 (AUC-ROC 0.868).
结论:
- 尿层分类器表明,在高风险前糖尿病群中,慢性病,心力衰竭和冠状动脉疾病的风险增加6.
- 尿酸皮组学表明,它有望用于识别高风险的糖尿病前期患者.
- 这种方法可以指导2型糖尿病并发症的早期预防干预.
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