Identification of Differential Metabolites Between \nType 2 Diabetes and Postchronic Pancreatitis Diabetes (Type 3c) Based on an Untargeted Metabolomics Approach

被引:0
作者
Qi, Liang [1 ]
Ye, Zheng [2 ]
Lin, Hao [3 ]
机构
[1] Southeast Univ, Zhongda Hosp, Sch Med, Dept Endocrinol, Nanjing, Peoples R China
[2] Southeast Univ, Sch Biol Sci & Med Engn, State Key Lab Bioelect, Nanjing, Peoples R China
[3] Southeast Univ, Zhongda Hosp, Sch Med, Dept Clin Sci & Res, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
type 3c diabetes; type; 2; diabetes; chronic pancreatitis; metabolomics; LC-MS; biomarker; GAMMA-LINOLENIC ACID; CHAIN AMINO-ACIDS; FATTY-ACIDS; SIGNAL-TRANSDUCTION; DESATURASE ACTIVITY; MELLITUS SECONDARY; INSULIN-RESISTANCE; BILE-ACIDS; PLASMA; SERUM;
D O I
10.1093/labmed/lmad004
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Objective A nontargeted metabolomics approach was established to characterize serum metabolic profile in type 3c diabetes mellitus (T3cDM) secondary to chronic pancreatitis and compare with T2DM. Methods Forty patients were recruited for metabolite analysis based on liquid chromatography-mass spectrometry. Cluster heatmap and KEGG metabolic pathway enrichment analysis were used to analyze the specific and differential metabolites. The receiver operating characteristics (ROCs) were generated and correlation analysis with clinical data was conducted. Results Metabolites including sphingosine, lipids, carnitine, bile acid, and hippuric acid were found to be different between T2DM and T3cDM, mainly enriched in bile acid biosynthesis, fatty acid biosynthesis, and sphingolipid metabolic pathways. The ROCs were generated with an area under the curve of 0.907 (95% confidence interval, 0.726-1) for the model with 15 metabolites. Conclusion T3cDM is characterized by increased sphingosine, carnitine, bile acid, and most lipids, providing novel biomarkers for clinical diagnosis and a future direction in research on pathophysiological mechanisms.
引用
收藏
页码:562 / 573
页数:12
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