Ning Zhang1, Fang Geng2, Zhong-Hua Hu3, Bin Liu1, Ye-Qiu Wang1, Jun-Cen Liu3, Yong-Hua Qi1, Li-Jing Li4. 1. College of Jiamusi, Heilongjiang University of Chinese Medicine Jiamusi, Heilongjiang 154007, P. R. China. 2. College of Chemistry & Chemical Engineering, Harbin Normal University Harbin, Heilongjiang 150025, P. R. China. 3. College of Pharmacy, Heilongjiang University of Chinese Medicine Harbin, Heilongjiang 150040, P. R. China. 4. College of Pharmacy, Changchun University of Chinese Medicine Changchun, Jilin 130117, P. R. China.
Abstract
OBJECTIVE: Comparative study of type 2 diabetes and healthy controls by metabolomics methods to explore the pathogenesis of Type II diabetes. METHODS: Gas chromatography - mass spectrometry (GC-MS) with a variety of multivariate statistical analysis methods to the healthy control group 58 cases, 68 cases of Type II diabetes group were analyzed. Chromatographic conditions: DB-5MS column; the carrier gas He; flow rate of 1 mL·min(-1), the injection volume 1 uL; split ratio is 100: 1. MS conditions: electron impact (EI) ion source, an auxiliary temperature of 280°C, the ion source 230°C, quadrupole 150°C; mass scan range 30~600 mAu. RESULTS: Established analytical method based on urine metabolomics GC-MS of Type II diabetes, determine the urine succinic acid, L-leucine, L-isoleucine, tyrosine, slanine, acetoace acid, mannose, L-isoleucine, L-threonine, Phenylalanine, fructose, D-glucose, palmi acid, oleic acid and arachidonic acid were significantly were significantly changed. CONCLUSION: Based on metabolomics of GC-MS detection and analysis metabolites can be found differences between type 2 diabetes and healthy control group, PCA diagram can effectively distinguish Type II diabetes and healthy control group, with load diagrams and PLS-DA VIP value metabolite screening, the resulting differences in metabolic pathways involved metabolites, including amino acid metabolism, lipid metabolism, glucose metabolism and energy metabolism.
OBJECTIVE: Comparative study of type 2 diabetes and healthy controls by metabolomics methods to explore the pathogenesis of Type II diabetes. METHODS: Gas chromatography - mass spectrometry (GC-MS) with a variety of multivariate statistical analysis methods to the healthy control group 58 cases, 68 cases of Type II diabetes group were analyzed. Chromatographic conditions: DB-5MS column; the carrier gas He; flow rate of 1 mL·min(-1), the injection volume 1 uL; split ratio is 100: 1. MS conditions: electron impact (EI) ion source, an auxiliary temperature of 280°C, the ion source 230°C, quadrupole 150°C; mass scan range 30~600 mAu. RESULTS: Established analytical method based on urine metabolomics GC-MS of Type II diabetes, determine the urine succinic acid, L-leucine, L-isoleucine, tyrosine, slanine, acetoace acid, mannose, L-isoleucine, L-threonine, Phenylalanine, fructose, D-glucose, palmi acid, oleic acid and arachidonic acid were significantly were significantly changed. CONCLUSION: Based on metabolomics of GC-MS detection and analysis metabolites can be found differences between type 2 diabetes and healthy control group, PCA diagram can effectively distinguish Type II diabetes and healthy control group, with load diagrams and PLS-DA VIP value metabolite screening, the resulting differences in metabolic pathways involved metabolites, including amino acid metabolism, lipid metabolism, glucose metabolism and energy metabolism.
Entities:
Keywords:
Type 2 diabetes mellitu; gas chromatography-mass spectrometry (GC-MS); metabolomics; urine
Authors: Annalyn Gilchrist; Catherine E Au; Johan Hiding; Alexander W Bell; Julia Fernandez-Rodriguez; Souad Lesimple; Hisao Nagaya; Line Roy; Sara J C Gosline; Michael Hallett; Jacques Paiement; Robert E Kearney; Tommy Nilsson; John J M Bergeron Journal: Cell Date: 2006-12-15 Impact factor: 41.582
Authors: Wilbert H M Heijne; Rob H Stierum; Monique Slijper; Peter J van Bladeren; Ben van Ommen Journal: Biochem Pharmacol Date: 2003-03-01 Impact factor: 5.858