Gas chromatography-mass spectrometry-based untargeted metabolomics reveals metabolic perturbations in medullary thyroid carcinoma

被引:21
|
作者
Jajin, Morteza Ghazanfari [1 ]
Abooshahab, Raziyeh [2 ,3 ]
Hooshmand, Kourosh [4 ]
Moradi, Ali [1 ]
Siadat, Seyed Davar [5 ,6 ]
Mirzazadeh, Roghieh [7 ]
Chegini, Koorosh Goodarzvand [1 ]
Hedayati, Mehdi [2 ]
机构
[1] Shahid Sadoughi Univ Med Sci & Hlth Serv, Sch Med, Dept Clin Biochem, Yazd, Iran
[2] Shahid Beheshti Univ Med Sci, Cellular & Mol Endocrine Res Ctr, Res Inst Endocrine Sci, Tehran, Iran
[3] Curtin Univ, Curtin Med Sch, Bentley, WA 6102, Australia
[4] Steno Diabet Ctr Copenhagen, Gentofte, Denmark
[5] Pasteur Inst Iran, Dept Mycobacteriol & Pulm Res, Tehran, Iran
[6] Pasteur Inst Iran, Microbiol Res Ctr MRC, Tehran, Iran
[7] Pasteur Inst Iran, Dept Biochem, Tehran, Iran
关键词
GLUTAMINE-METABOLISM; GLYCEROL-3-PHOSPHATE DEHYDROGENASE; DIAGNOSIS; ACTIVATION; PATHWAY; GROWTH;
D O I
10.1038/s41598-022-12590-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Medullary thyroid cancer (MTC) is a rare tumor that arises from parafollicular cells within the thyroid gland. The molecular mechanism underlying MTC has not yet been fully understood. Here, we aimed to perform plasma metabolomics profiling of MTC patients to explore the perturbation of metabolic pathways contributing to MTC tumorigenesis. Plasma samples from 20 MTC patients and 20 healthy subjects were obtained to carry out an untargeted metabolomics by gas chromatography-mass spectrometry. Multivariate and univariate analyses were employed as diagnostic tools via MetaboAnalyst and SIMCA software. A total of 76 features were structurally annotated; among them, 13 metabolites were selected to be differentially expressed in MTC patients compared to controls (P < 0.05). These metabolites were mainly associated with the biosynthesis of unsaturated fatty acids and amino acid metabolisms, mostly leucine, glutamine, and glutamate, tightly responsible for tumor cells' energy production. Moreover, according to the receiver operating characteristic curve analysis, metabolites with the area under the curve (AUC) value up to 0.90, including linoleic acid (AUC = 0.935), linolenic acid (AUC = 0.92), and leucine (AUC = 0.948) could discriminate MTC from healthy individuals. This preliminary work contributes to existing knowledge of MTC metabolism by providing evidence of a distinctive metabolic profile in MTC patients relying on the metabolomics approach.
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页数:9
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