State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian 116024, China.
CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023, China.
J Proteome Res. 2021 Jan 1;20(1):1005-1014. doi: 10.1021/acs.jproteome.0c00786. Epub 2020 Dec 21.
Large-scale population screenings are not feasible by applying laborious oral glucose tolerance tests, but using fasting blood glucose (FPG) and glycated hemoglobin (HbA), a considerable number of diagnoses are missed. A novel marker is urgently needed to improve the diagnostic accuracy of broad-scale diabetes screening in easy-to-collect blood samples. In this study, by applying a novel knowledge-based, multistage discovery and validation strategy, we scaled down from 108 diabetes-associated metabolites to a diagnostic metabolite triplet (Met-T), namely hexose, 2-hydroxybutyric/2-hydroxyisobutyric acid, and phenylalanine. Met-T showed in two independent cohorts, each comprising healthy controls, prediabetic, and diabetic individuals, distinctly higher diagnostic sensitivities for diabetes screening than FPG alone (>79.6 vs <68%). Missed diagnoses decreased from >32% using fasting plasma glucose down to <20.4%. Combining Met-T and fasting plasma glucose further improved the diagnostic accuracy. Additionally, a positive association of Met-T with future diabetes risk was found (odds ratio: 1.41; = 1.03 × 10). The results reveal that missed prediabetes and diabetes diagnoses can be markedly reduced by applying Met-T alone or in combination with FPG and it opens perspectives for higher diagnostic accuracy in broad-scale diabetes-screening approaches using easy to collect sample materials.
大规模人群筛查通过费力的口服葡萄糖耐量试验是不可行的,但使用空腹血糖(FPG)和糖化血红蛋白(HbA),会错过相当数量的诊断。迫切需要一种新的标志物来提高广泛糖尿病筛查在易于采集的血液样本中的诊断准确性。在这项研究中,我们通过应用一种新颖的基于知识的、多阶段的发现和验证策略,从 108 个与糖尿病相关的代谢物缩小到一个诊断代谢物三联体(Met-T),即己糖、2-羟丁酸/2-羟基异丁酸和苯丙氨酸。Met-T 在两个独立的队列中显示,每个队列都包含健康对照、糖尿病前期和糖尿病个体,与单独使用 FPG 相比,对糖尿病筛查具有明显更高的诊断敏感性(>79.6%比<68%)。漏诊率从使用空腹血浆葡萄糖降低到<20.4%。将 Met-T 与空腹血浆葡萄糖结合使用进一步提高了诊断准确性。此外,还发现 Met-T 与未来糖尿病风险呈正相关(优势比:1.41; = 1.03×10)。结果表明,仅应用 Met-T 或与 FPG 联合应用可显著减少漏诊的糖尿病前期和糖尿病,为使用易于采集的样本材料进行广泛的糖尿病筛查方法提供了更高的诊断准确性的前景。