血蛋白预测2型糖尿病中的功能轨迹
Resham L Gurung1,2, Huili Zheng1, Jia Le Ivan Tan1
1Clinical Research Unit, Khoo Teck Puat Hospital, Singapore 768828.
The Journal of clinical endocrinology and metabolism
|February 14, 2025
概括
血蛋白预测2型糖尿病 (T2D) 的功能下降. 像KIM-1和MMP7这样的特定蛋白质与加速衰退有关,改善了估计的淋巴细胞过率 (eGFR) 轨迹的预测.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 在2型糖尿病 (T2D) 患者中,估计的球透率 (eGFR) 降低显著变化.
- 了解影响各种eGFR轨迹的因素对于治疗糖尿病病至关重要.
研究的目的:
- 在T2D患者中识别与明显的eGFR下降模式相关的血蛋白.
- 评估这些蛋白质对功能轨迹的预测价值.
主要方法:
- 隐性类混合模型被用来识别T2D队列 (SMART2D和DN) 中的eGFR轨迹.
- 蛋白质组分析使用多变量逻辑回归确定了与已识别的eGFR轨迹相关的血蛋白.
- 模型的性能通过将已识别的蛋白质添加到传统风险因素中来评估.
主要成果:
- 确定了三种eGFR轨迹:缓慢 (92.2%),渐进 (4.0%) 和加速 (3.8%) 的下降.
- 加快下降与进展到末期脏病 (ESKD) 的最高风险有关.
- 包括KIM-1,MMP7和VSIG4在内的19种蛋白质与加速衰退有关,THBD与逐渐衰退有关,独立于风险因素. 添加这些蛋白质改善了逐渐和加速下降的预测AUC.
结论:
- 显著的血蛋白与T2D的渐进和加速的eGFR下降有关.
- 这些蛋白质提供了超越传统心风险因素的eGFR轨迹的预测价值.
- 识别新型蛋白质生物标志物可能有助于糖尿病病的早期检测和干预.
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