Department of Chemistry, Indian Institute of Science Education and Research (IISER), Dr. Homi Bhabha Road, Pashan, Pune 411008, India; Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Department of Biochemistry, Armed Forces Medical College (AFMC), Wanowrie, Pune 411040, India; Department of Biochemistry, Symbiosis Medical College for Women, Pune 412115, India.
Clin Chim Acta. 2024 Apr 15;557:117857. doi: 10.1016/j.cca.2024.117857. Epub 2024 Mar 13.
The prevalence of type 2 diabetes mellitus (T2DM), a progressive metabolic disorder characterized by chronic hyperglycemia and the development of insulin resistance, has increased globally, with worrying statistics coming from children, adolescents, and young adults from developing countries like India. Here, we investigated unique circulating metabolic signatures associated with prediabetes and T2DM in an Indian cohort using NMR-based metabolomics.
The study subjects included healthy volunteers (N = 101), prediabetic subjects (N = 75), and T2DM patients (N = 108). Serum metabolic profiling was performed using H NMR spectroscopy and major perturbed metabolites were identified by multivariate analysis and receiver operating characteristic (ROC) modules.
Of the 36 aqueous abundant metabolites, 24 showed a statistically significant difference between healthy volunteers, prediabetics, and established T2DM subjects. On performing multivariate ROC curve analysis with 5 commonly dysregulated metabolites (namely, glucose, pyroglutamate, o-phosphocholine, serine, and methionine) in prediabetes and T2DM, AUC values obtained were 0.96 (95 % confidence interval (CI) = 0.93, 0.98) for T2DM; and 0.88 (95 % CI = 0.81, 0.93) for prediabetic subjects, respectively.
We propose that the identified metabolite panel can be used in the future as a biomarker for clinical diagnosis, patient surveillance, and for predicting individuals at risk for developing diabetes.
2 型糖尿病（T2DM）是一种进行性代谢紊乱，其特征为慢性高血糖和胰岛素抵抗的发展，在全球范围内患病率不断增加，令人担忧的是，发展中国家（如印度）的儿童、青少年和年轻成年人的发病率也在上升。在这里，我们使用基于 NMR 的代谢组学研究了印度队列中与前驱糖尿病和 T2DM 相关的独特循环代谢特征。
研究对象包括健康志愿者（N=101）、前驱糖尿病患者（N=75）和 T2DM 患者（N=108）。使用 H NMR 光谱法对血清代谢物进行了分析，并通过多元分析和接收者操作特征（ROC）模块确定了主要的扰动代谢物。
在 36 种水相丰富的代谢物中，有 24 种在健康志愿者、前驱糖尿病患者和确诊的 T2DM 患者之间存在统计学上的显著差异。对 5 种常见失调代谢物（即葡萄糖、焦谷氨酸、o-磷酸胆碱、丝氨酸和蛋氨酸）在前驱糖尿病和 T2DM 中的多元 ROC 曲线分析，T2DM 的 AUC 值为 0.96（95%置信区间（CI）=0.93，0.98）；而前驱糖尿病患者的 AUC 值为 0.88（95% CI=0.81，0.93）。
我们提出，所确定的代谢物谱可用于未来的临床诊断、患者监测，并预测发生糖尿病的风险个体。
