预测功能衰竭的快速发展和循环蛋白度的短期变化的预测因素的分类
Hiroki Kobayashi1,2,3, Helen C Looker4, Katsuhito Ihara1,2
1Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA, USA.
Clinical journal of the American Society of Nephrology : CJASN
|October 31, 2024
概括
循环蛋白质的短期变化预测糖尿病的快速功能衰竭 (KF). 这些蛋白质变化被测量为三角形,与传统标记物相比,提供了更好的预测,识别了启动和进展因素.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
背景情况:
- 对循环蛋白度 (delta) 的短期变化及其与糖尿病中快速功能衰竭 (KF) 的关联的理解有限.
- 糖尿病是病的主要原因,需要更好的预测标志物,快速KF.
研究的目的:
- 调查循环蛋白度短期变化对1型和2型糖尿病患者快速KF发展的预测价值.
- 确定与快速KF的开始和进展相关的特定蛋白质和途径.
主要方法:
- 在183名糖尿病患者 (106型1,77型2) 中,在基线和3-4年后使用OLINK蛋白质组测量了452种循环蛋白质的度.
- 在10年的随访期间评估了快速KF的发展.
- 比较蛋白质deltas的预测性能与delta尿中的白蛋白-肌素比率和delta膜过率.
主要成果:
- 对40种蛋白质的Delta显著预测了快速KF,超过了传统的临床标志物.
- 确定了61种预测快速KF的独特蛋白质:21种是启动预测器,15种是进展预测器,25种是两种预测器.
- 基于预测启动和进展的蛋白质的指数得分显示,快速KF的预测优越.
- 与启动和进展相关的蛋白质与亡过程和瘤亡因子 (TNF) 受体信号通路有关.
结论:
- 循环蛋白度升高,无论是在基线还是短期变化,都在糖尿病中快速发展KF之前.
- 蛋白质预测因子可以分为与启动,进展或两者相关的蛋白质预测因子,为KF发展提供了细微的见解.
- 结合启动和进展预测因子的多蛋白质预测算法,可以比传统的临床变量更好地预测快速的KF风险.
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