Zhang Ning, Geng Fang, Hu Zhong-Hua, Liu Bin, Wang Ye-Qiu, Liu Jun-Cen, Qi Yong-Hua, Li Li-Jing
College of Jiamusi, Heilongjiang University of Chinese Medicine Jiamusi, Heilongjiang 154007, P. R. China.
College of Chemistry & Chemical Engineering, Harbin Normal University Harbin, Heilongjiang 150025, P. R. China.
Am J Transl Res. 2016 Jul 15;8(7):2889-96. eCollection 2016.
Comparative study of type 2 diabetes and healthy controls by metabolomics methods to explore the pathogenesis of Type II diabetes.
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.
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.
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.
采用代谢组学方法对2型糖尿病患者和健康对照者进行比较研究,以探讨2型糖尿病的发病机制。
运用气相色谱-质谱联用(GC-MS)结合多种多元统计分析方法,对58例健康对照组、68例2型糖尿病组进行分析。色谱条件:DB-5MS柱;载气为He;流速1 mL·min⁻¹,进样量1 μL;分流比100:1。质谱条件:电子轰击(EI)离子源,辅助温度280°C,离子源温度230°C,四极杆温度150°C;质量扫描范围30~600 mAu。
建立基于GC-MS的2型糖尿病尿液代谢组学分析方法,确定尿液中琥珀酸、L-亮氨酸、L-异亮氨酸、酪氨酸、丝氨酸、乙酰乙酸、甘露糖、L-异亮氨酸、L-苏氨酸、苯丙氨酸、果糖、D-葡萄糖、棕榈酸、油酸和花生四烯酸等代谢产物有显著变化。
基于代谢组学的GC-MS检测分析可发现2型糖尿病与健康对照组之间的代谢产物差异,PCA图能有效区分2型糖尿病组和健康对照组,通过载荷图和PLS-DA的VIP值进行代谢产物筛选,得出涉及差异代谢途径的代谢产物,包括氨基酸代谢、脂质代谢、糖代谢和能量代谢。