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基于十种代谢物的算法预测了中国人2型糖尿病的未来发展
Xiuli Su1, Chloe Y Y Cheung2, Junda Zhong2
1State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China.
Journal of advanced research
|November 29, 2023
概括
与胰岛素抵抗相关的代谢变化,而不是β细胞功能障碍,在中国成年人中导致2型糖尿病 (T2D). 代谢分析可以预测T2D的发展,改善风险评估.
科学领域:
- 代谢学 代谢学 代谢学
- 内分泌学 在内分泌学.
- 遗传学 遗传学 是一个
背景情况:
- 2型糖尿病 (T2D) 是一种复杂的代谢障碍,具有不同的原因,如胰岛素抵抗和β细胞功能障碍.
- 准确的T2D风险预测至关重要,特别是在不同种族群体之间.
- 目前的方法可能无法完全捕捉T2D发病之前的代谢异质性.
研究的目的:
- 为了确定与T2D发展相关的代谢生物标志物.
- 调查胰岛素抵抗和β细胞功能障碍在T2D病变发生中的作用.
- 使用代谢数据开发T2D的预测模型.
主要方法:
- 来自196例T2D病例和196例对照的血样本的非向代谢学分析.
- 未来的中国社区基队列,随访时间为16年.
- 机器学习模型整合了临床因素和10个已识别的代谢物.
主要成果:
- 在后来发展为T2D的个体中观察到显著的代谢干扰.
- 代谢变化主要与胰岛素抵抗有关.
- 结合临床因素和10种代谢物的预测模型实现了0.894的AUROC,预测得到了5.6%的改进.
结论:
- 胰岛素抵抗驱动的代谢变化是中国成年人T2D的主要驱动因素.
- 代谢概况为T2D病变的发生提供了宝贵的见解.
- 代谢物可以增强T2D预测模型的临床效用.
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