Untargeted serum metabolomics and potential biomarkers for Sjogren's syndrome

被引:0
|
作者
Xu, T. [1 ]
Guo, Y. [1 ]
Lu, J. [1 ]
Shan, J. [2 ]
Linz, L. [2 ]
Qian, W. [2 ]
Chen, W. [1 ]
Wang, J. [1 ,3 ]
Lv, X. [1 ,3 ]
Ke, M. [2 ]
Kong, D. [2 ]
Shen, Q. [2 ]
Zhu, Y. [2 ]
Liu, P. [4 ]
Su, J. [4 ]
Wang, L. [4 ]
Li, Y. [4 ]
Gao, P. [4 ]
Liu, S. [1 ,5 ]
机构
[1] Nanjing Univ Chinese Med, Affiliated Hosp, Nanjing 210029, Jiangsu, Peoples R China
[2] Nanjing Univ Chinese Med, Coll Pharm, Jiangsu Collaborat Innovat Ctr Chinese Med Resour, Nanjing, Jiangsu, Peoples R China
[3] China Pharmaceut Univ, Jiangsu Key Lab TCM Evaluat & Translat Res, Nanjing, Jiangsu, Peoples R China
[4] Xuzhou Med Univ, Xuzhou, Jiangsu, Peoples R China
[5] Nanjing Univ, Jiangsu Key Lab Artificial Funct Mat, Nanjing Natl Lab Microstruct, Dept Biomed Engn,Coll Engn & Appl Sci, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
serum metabolomics; Sjogren's syndrome; metabolite profile; biomarker; GC-MS; CLASSIFICATION; SALIVA;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective. At present, the pathogenesis of Sjogren's syndrome (SS) remains unclear. This research aimed to identify differential metabolites that contribute to SS diagnosis and discover the disturbed metabolic pathways. Methods. Recent advances in mass spectrometry have allowed the identification of hundreds of unique metabolic signatures and the exploration of altered metabolite profiles in disease. In this study, 505 candidates including healthy controls (HCs) and SS patients were recruited and the serum samples were collected. A non-targeted gas chromatography-mass spectrometry (GC-MS) serum metabolomics method was used to explore the changes in serum metabolites. Results. We found SS patients and HCs can be distinguished by 21 significant metabolites. The levels of alanine, tryptophan, glycolic acid, pelargonic acid, cis-1-2-dihydro-1-2-naphthalenediol, diglycerol, capric acid, turanose, behenic acid, dehydroabietic acid, stearic acid, linoleic acid, heptadecanoic acid, valine, and lactic acid were increased in serum samples from SS patients, whereas levels of catechol, anabasine, 3-6-anhydro-D-galactose, beta-gentiobiose, 2-ketoisocaproic acid and ethanolamine were decreased. The significantly changed pathways included the following: Linoleic acid metabolism; unsaturated fatty acid biosynthesis; aminoacyl-tRNA biosynthesis; valine, leucine, and isoleucine biosynthesis; glycerolipid metabolism; selenocompound metabolism; galactose metabolism; alanine, aspartate and glutamate metabolism; glyoxylate and dicarboxylate metabolism; glycerophospholipid metabolism; and valine, leucine and isoleucine degradation. Conclusion. These findings enhance the informative capacity of biochemical analyses through the identification of serum biomarkers and the analysis of metabolic pathways and contribute to an improved understanding of the pathogenesis of SS.
引用
收藏
页码:S23 / S29
页数:7
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