生物传感器使用目标尿液挥发性有机化合物来检测糖尿病病
Chatchai Kreepala1,2, Vichayut Suthat Na Ayutaya3, Rungrueang Phatthanakun4
1School of Internal Medicine, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima, Thailand. Chatchaikree@gmail.com.
Scientific reports
|April 27, 2025
概括
尿液中的挥发性有机化合物 (VOC) 可以非侵入性检测糖尿病病 (DKD). 和乙醇的VOC有效地将DKD与其他脏疾病区分开来,显示出癌症以外的诊断潜力.
科学领域:
- 生物标志物 生物标志物
- 代谢学 代谢学 代谢学
- 分析化学 分析化学
背景情况:
- 挥发性有机化合物 (VOC) 是作为非侵入性生物标志物使用的代谢副产品.
- 挥发性有机化合物在瘤学方面得到了很好的研究,但在其他公共卫生条件下却没有得到充分的研究.
- 糖尿病病 (DKD) 是慢性病的主要原因,需要更好的诊断工具.
研究的目的:
- 调查尿液VOC分析的潜力,以区分糖尿病病 (DKD) 和其他综合征 (NS).
- 为在代谢疾病中使用基于VOC的检测建立一个概念验证.
- 探索VOC生物传感器技术在瘤学之外的扩展.
主要方法:
- 用金属氧化物半导体传感器分析了135名参与者的尿液VOC档案,通过活检确认了诊断.
- 使用n型气体传感器测量VOC相互作用时的电阻变化.
- 使用接收器操作特征 (ROC) 分析以评估诊断准确性.
主要成果:
- 和乙醇的挥发性有机物有效地使DKD与NS和对照组区分开来.
- 在DKD和正常/NS组之间观察到电阻的显著差异 (p < 0.05).
- 在ROC分析中,AUC值高 (1.0对于DKD与正常相比,0.99对于DKD与NS相比),表明具有强大的诊断潜力.
结论:
- 尿液的VOC分析,特别是和乙醇的分析,显示出作为诊断DKD的非侵入性方法的希望.
- 这种方法可以将DKD与其他球粒细胞疾病区分开来,提供了一个新的诊断框架.
- 这些发现支持扩大VOC生物传感器技术用于公共卫生和代谢疾病监测.
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