Diabetologia:早期的代谢标记物可以作为预防2型糖尿病的潜在靶标

2017-09-30 MedSci MedSci原创

近日,国际杂志 《Diabetologia》上在线发表一项关于早期的代谢标记物可以作为预防2型糖尿病的潜在靶标的研究。研究的目的是系统地评估综合代谢组学预测2型糖尿病未来风险的能力,并确定一组最具预测性的代谢标志物。

近日,国际杂志 《Diabetologia》上在线发表一项关于早期的代谢标记物可以作为预防2糖尿病的潜在靶标的研究。研究的目的是系统地评估综合代谢组学预测2糖尿病未来风险的能力,并确定一组最具预测性的代谢标志物。

研究人员应用了一种非偏倚的系统药物方法来开发代谢物组合,为预测未知的2糖尿病发病率提供额外价值。在来自芬兰Botnia Prospective Study543名非糖尿病患者的队列中,其中包括随访10年结束时进展为2型糖尿病的146名个体,研究人员进行了基于质谱的靶向以及全球非靶向代谢组学测量,总计568种代谢物。使用多变量逻辑回归来评估统计学关联,并且使用正则化最小二乘模型进行基于机器学习的风险分类和标记选择。使用重复的嵌套交叉验证来评估机器学习模型和标记面板的预测性能进行了评估,在一个独立的1044名个体的法国队列中重复进行了一项DESIR研究(这是一项关于胰岛素抵抗综合征的流行病学研究的数据),其中包括231名参与者,他们在9年的随访期中发展为2型糖尿病。

研究发现9种代谢物呈负相关(潜在保护性),25例与进展为2型糖尿病呈正相关。基于整个代谢组学的机器学习模型预测到2型糖尿病(受试者工作特征曲线下面积AUC=0.77)的进展明显优于基于单独临床危险因素的参考模型(AUC=0.68 DeLong's p=0.0009)。通过基于机器学习的特征选择的代谢标记小组也显著改善了参考模型的预测性能(AUC=0.78 p=0.00019;综合歧视改善,IDI = 66.7%)。这种方法鉴定出新的预测生物标志物,如α-生育酚,缓激肽羟脯氨酸,X-12063X-13435,当与已知的生物标志物如葡萄糖,甘露糖和α-羟基丁酸酯以及常规使用临床危险因素组合时,其显示出预测2型糖尿病进展相关的附加效应。本研究为未来预防2型糖尿病提供了一组新的代谢标记物。

原始出处:

Gopal Peddinti, Jeff Cobb, Loic Yengo,et al. Early metabolic markers identify potential targets for the prevention of type 2 diabetes

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    2017-11-18 wjywjy
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    2017-10-02 zhaojie88
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    2017-09-30 131****1460

    学习了受益匪浅

    0