Metabolomic analysis of human papillary thyroid carcinoma using UPLC-Q- TOFMS

作者：Guodong Man, Ruixia Ma, Jianli Wang, Juan Wang, Qinjiang Liu, Jun Wang, Jianye Zhou · 发表于：Research Square · 年份：2023 · DOI：10.21203/rs.3.rs-3041279/v1 · 研究领域：Cancer, Hypoxia, and Metabolism、Metabolomics and Mass Spectrometry Studies、Thyroid Cancer Diagnosis and Treatment

Abstract Papillary thyroid carcinoma is the most common type of thyroid cancer worldwide, but its underlying mechanisms remain unclear. This study aimed to develop a non-targeted, metabolism-based tissue metabolomic analysis method and comprehensively identify the papillary thyroid carcinoma metabolic network in clinical samples based on ultra-high-performance liquid chromatography and quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOFMS). UPLC-Q-TOFMS was used to analyze metabolic changes in matched papillary thyroid carcinoma and paracancerous thyroid tissues obtained from patients. Principal component analysis, partial least square discriminant analysis, and orthogonal partial least square discriminant analysis models were used to separate paracancerous human thyroid and papillary thyroid carcinoma samples. In papillary thyroid carcinoma samples, the levels of L-α-amino acids, leucine, β-amino acids, valine, alanine, methionine, and their derivatives, as well as those of polypeptides, were significantly lower than those in paracancerous tissue. In contrast, the levels of dibucaine, propyzamide, tyrosine, pidotimod, deoxysappanone B 7,4′-dimethyl ether, hippurate, and emodic acid were significantly increased. In addition, metabolites with significant differences in expression were mainly involved in amino acid biosynthesis and metabolism and the mammalian target of rapamycin (mTOR) metabolic pathway. According to the results of our metabolomic and bioinformatics analys...