DICP OpenIR
Subject Area分析化学
Metabonomic study of rheumatoid arthritis by using LC/MS and GC/MS
Gu Y(谷艳); ChengLu; QinglinZha; Kong HW(孔宏伟); Lu X(路鑫); AipingLu; Xu GW(许国旺)
Source PublicationProceeding of HPLC 2011
Conference Name37th International Symposium on High Performance Liquid Phase Separations and Related Techniques
Conference Date2011-10-8
2011
Conference Place大连
Pages483-0
Publisher待补充
Publication Place待补充
Cooperation Status墙报
Department1808
Funding Organization中国化学会色谱专业委员会
AbstractRheumatoid arthritis (RA) is a systematic autoimmune disease that causes pain, swelling, stiffness and loss of function in joints. With the rapid development of systems biology, ‘-omics’ techniques have play significant roles in the study occurrence and development of rheumatoid arthritis. Metabonomics, focusing on studying the low molecular weight metabolites in biological samples, measures the dynamic metabolic responses to pathophysiological stimuli or genetic modifications through detection and quantification of all metabolites. However, no single analytical technique can detect all of the metabolites unprejudicedly, therefore combining different platforms in order to obtain as much underlying information as possible is common in metabonomic study. In the current work, we used LC/MS and GC/MS to investigate the plasma metabolic fingerprints of RA patients compared with healthy controls, and to realize the metabolic alterations of RA. The partial least squares-discriminant analysis (PLS-DA) model showed evident separation between RA patients and healthy counterparts. The metabolic state of RA patients resulted in the increased plasma levels of carnitine, palmitoylcarnitine, saturated and mono-unsaturated phosphatidylcholine, proline, alanine, 3-hydroxybutyrate, glycerate, myoinositol, glucose, cholesterol, urea and free fatty acids, as well as decreased levels of glycochenodeoxycholic acid, lyso-phosphatidylcholine, polyunsaturated phosphatidylcholine and phosphatidylethanolamine, threonine and branched-chain amino acids. The mainly changed metabolic pathways involved in RA patients were lipid metabolism, pentose phosphate metabolism, amino acids metabolism and inositol phosphate metabolism. This study can help us understand the underlying metabolic mechanisms of RA.; Rheumatoid arthritis (RA) is a systematic autoimmune disease that causes pain, swelling, stiffness and loss of function in joints. With the rapid development of systems biology, ‘-omics’ techniques have play significant roles in the study occurrence and development of rheumatoid arthritis. Metabonomics, focusing on studying the low molecular weight metabolites in biological samples, measures the dynamic metabolic responses to pathophysiological stimuli or genetic modifications through detection and quantification of all metabolites. However, no single analytical technique can detect all of the metabolites unprejudicedly, therefore combining different platforms in order to obtain as much underlying information as possible is common in metabonomic study. In the current work, we used LC/MS and GC/MS to investigate the plasma metabolic fingerprints of RA patients compared with healthy controls, and to realize the metabolic alterations of RA. The partial least squares-discriminant analysis (PLS-DA) model showed evident separation between RA patients and healthy counterparts. The metabolic state of RA patients resulted in the increased plasma levels of carnitine, palmitoylcarnitine, saturated and mono-unsaturated phosphatidylcholine, proline, alanine, 3-hydroxybutyrate, glycerate, myoinositol, glucose, cholesterol, urea and free fatty acids, as well as decreased levels of glycochenodeoxycholic acid, lyso-phosphatidylcholine, polyunsaturated phosphatidylcholine and phosphatidylethanolamine, threonine and branched-chain amino acids. The mainly changed metabolic pathways involved in RA patients were lipid metabolism, pentose phosphate metabolism, amino acids metabolism and inositol phosphate metabolism. This study can help us understand the underlying metabolic mechanisms of RA.
Document Type会议论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/116066
Collection中国科学院大连化学物理研究所
Corresponding AuthorXu GW(许国旺)
Recommended Citation
GB/T 7714
Gu Y,ChengLu,QinglinZha,et al. Metabonomic study of rheumatoid arthritis by using LC/MS and GC/MS[C]. 待补充:待补充,2011:483-0.
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