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Non-invasive diagnosis of papillary thyroid microcarcinoma: a NMR-based metabolomics approach

机译:甲状腺乳头状癌的非侵入性诊断:基于NMR的代谢组学方法

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摘要

Papillary thyroid microcarcinoma (PTMC) is a subtype of papillary thyroid carcinoma (PTC). Because its diameter is less than 10 mm, diagnosing it accurately is difficult with traditional methods such as image examinations and FNA (Fine Needle Aspiration). Investigating the metabolic changes induced by PTMC may enhance the understanding of its pathogenesis and provide important information for a new diagnosis method and treatment plan. In this study, high resolution magic angle spin (HRMAS) spectroscopy and 1H-nuclear magnetic resonance (1H-NMR) spectroscopy were used to screen metabolic changes in thyroid tissues and plasma from PTMC patients respectively. The results revealed reduced levels of fatty acids and elevated levels of several amino acids (phenylalanine, tyrosine, lactate, serine, cystine, lysine, glutamine/glutamate, taurine, leucine, alanine, isoleucine and valine) in thyroid tissues, as well as reduced levels of amino acids such as valine, tyrosine, proline, lysine, leucine and elevated levels of glucose, mannose, pyruvate and 3-hydroxybutyrate in plasma, are involved in the metabolic alterations in PTMC. In addition, a receiver operating characteristic (ROC) curve model for PTMC prediction was able to classify cases with good sensitivity and specificity using 9 significant changed metabolites in plasma. This work illustrates that the NMR-based metabolomics approach is capable of providing more sensitive diagnostic results and more systematic therapeutic information for PTMC.
机译:甲状腺乳头状微癌(PTMC)是甲状腺乳头状癌(PTC)的一种亚型。由于其直径小于10毫米,因此使用传统方法(例如图像检查和FNA(细针抽吸))难以准确诊断。研究由PTMC引起的代谢变化可能会加深对其发病机理的了解,并为新的诊断方法和治疗计划提供重要信息。在这项研究中,高分辨率魔角自旋(HRMAS)光谱和 1 H核磁共振( 1 H-NMR)光谱用于筛查甲状腺组织中的代谢变化和血浆分别来自PTMC患者。结果显示甲状腺组织中脂肪酸水平降低,几种氨基酸(苯丙氨酸,酪氨酸,乳酸,丝氨酸,胱氨酸,赖氨酸,谷氨酰胺/谷氨酸,牛磺酸,亮氨酸,丙氨酸,异亮氨酸和缬氨酸)的水平降低,并且降低PTMC的代谢改变涉及血浆中的氨基酸水平(例如缬氨酸,酪氨酸,脯氨酸,赖氨酸,亮氨酸)和血浆中葡萄糖,甘露糖,丙酮酸和3-羟基丁酸水平的升高。此外,用于PTMC预测的接收器操作特征(ROC)曲线模型能够使用血浆中9种显着变化的代谢物对具有良好敏感性和特异性的病例进行分类。这项工作说明基于NMR的代谢组学方法能够为PTMC提供更敏感的诊断结果和更系统的治疗信息。

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