Metabolomics is a potential tool for the discovery of new biomarkers in the early diagnosis of diseases. An ultra‐fast gas chromatography system equipped to an electronic nose detector (FGC eNose) was used to identify the metabolomic profile of Volatile Organic Compounds (VOCs) in type 2 diabetes (T2D) urine from Mexican population. A cross‐sectional, comparative, and clinical study with translational approach was performed. We recruited twenty T2D patients and twenty‐one healthy subjects. Urine samples were taken and analyzed by FGC eNose. Eighty‐eight compounds were identified through Kovats's indexes. A natural variation of 30% between the metabolites, expressed by study groups, was observed in Principal Component 1 and 2 with a significant difference (p < 0.001). The model, performed through a Canonical Analysis of Principal coordinated (CAP), allowed a correct classification of 84.6% between healthy and T2D patients, with a 15.4% error. The metabolites 2‐propenal, 2‐propanol, butane‐ 2,3‐dione and 2‐methylpropanal, were increased in patients with T2D, and they were strongly correlated with discrimination between clinically healthy people and T2D patients. This study identified metabolites in urine through FGC eNose that can be used as biomarkers in the identification of T2D patients. However, more studies are needed for its implementation in clinical practice.

中文翻译：

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超快速气相色谱-电子鼻联用技术鉴定2型糖尿病患者的代谢指标。初步研究。

代谢组学是在疾病的早期诊断中发现新生物标志物的潜在工具。配备电子鼻检测器（FGC eNose）的超快速气相色谱系统用于鉴定墨西哥人群2型糖尿病（T2D）尿液中挥发性有机化合物（VOC）的代谢组学特征。使用翻译方法进行了一项横断面，比较和临床研究。我们招募了20名T2D患者和21名健康受试者。采集尿液样本并通过FGC eNose分析。通过科瓦茨指数鉴定出88种化合物。在主要成分1和2中观察到研究组表达的代谢物之间存在30％的自然变化，差异显着（p <0.001）。该模型通过标准协调的主要协调（CAP）进行，可以对健康和T2D患者进行正确分类，准确率为84.6％，错误率为15.4％。T2D患者的代谢物2-丙醛，2-丙醇，丁烷2,3-二酮和2-甲基丙醛增加，并且与临床健康人群和T2D患者之间的区别密切相关。这项研究通过FGC eNose鉴定了尿液中的代谢物，可用作鉴定T2D患者的生物标志物。但是，在临床实践中需要对其进行更多的研究。