Effects of Lifestyle Intervention on Metabolism Profile in People with Impaired Glucose Tolerance—The China Da Qing Diabetes Prevention Study

2018 
Aims: To investigate the effects of lifestyle intervention on metabolism profile in people with impaired glucose tolerance (IGT), and potential biomarkers for prevention of diabetes. Methods: The study participants were identified as IGT by OGTT in 1986 and followed in 2006. Sixty participants were selected in the intervention group (I_Group) and 57 in control group (C_Group). UPLC-MS/MS analysis was performed by using the plasma samples. Principal component analysis and orthogonal partial least squares discriminant analysis were used for the data analysis. Results: In 20-year follow-up study, I_Group had lower fasting plasma glucose, triglycerides and urine albumin/creatinine ratio comparing with C_Group. The metabolism profile was significant different between I_Group and C_Group, a total of 65 altered variables were obtained, and 9 metabolic pathways were changed, 4 pathways were considered as the most pertinent in the process of intervention: glycerophospholipid, arachidonic acid (AA) metabolism, glycosylphosphatidylinositol (GPI)-anchor biosynthesis and vitamin B6 metabolism. In I_Group, after 6-year lifestyle intervention, 26 were still in IGT status and 34 change to diabetes after 20-year follow-up. The metabolism profile was significant difference between development of diabetes and still in IGT subjects, a total of 53 altered metabolites were obtained. Compared with the 65 metabolites, 7 metabolites decreased after intervention but increased when they change to diabetes, 1 metabolite had opposite change tendency. The above 8 metabolites involved in 5 metabolic pathways: glycerophospholipid metabolism, GPI-anchor biosynthesis, linoleic acid, α-Linolenic acid, and AA metabolism. Conclusions: The 65 metabolites and 4 metabolic pathways were changed after lifestyle intervention, 8 altered metabolites involved in 5 pathways were considered as the potential biomarkers related to diabetes outcome. Disclosure X. Qian: None. Y. Chen: None. H. Jia: None. Z. Zou: None. Q. Gong: None. Y. An: None. J. Wang: None. H. Li: None. N. Shi: None. G. Li: None.
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