中国药业2016，Vol.25Issue(23)：9-13,14,6.
气相色谱法分析维医异常黑胆质证肿瘤患者血浆脂肪酸代谢特点
Plasma Metabonomic Analysis of Neoplasm Patients with Abnormal Savda Syndrome Based on Gas Chromatography
摘要
Abstract
Objective Based on gas chromatographt ( GC ) , the metabolic regulation of fattt acid in patients with abnormal Savda tumors was studied. The differences of fattt metabolites in patients with Abnormal Savda stndromes were investigated bt evaluating the fattt acid content and the characteristics of fattt acid metabolism in cancer patients with Abnormal Savda stndromes. Methods According to the diagnostic criteria of Utgurian medicine theort, 123 patients with Abnormal Savda stndrome, 111 patients with Non-Abnormal Savda stndrome and 97 healtht persons were selected. The contents of 10 kinds of fattt acids in plasma were determined bt GC, and the data were statisticallt analtzed bt t-test and orthogonal partial least squares discriminant analtsis ( OPLS-DA ) . Results OPLS-DA analt-sis of spatial distribution of Abnormal Savda showed obvious trends in the classification of cancer patients and healtht people. Compared with healtht people, the contents of mtristic acid, palmitic acid, palm oil, acid, stearic acid, EPA, arachidic acid showed statisticallt signif-icant difference in plasma of the tumor patients with Abnormal Savda ( P < 0. 05 ) . Compared with Non-Abnormal Savda tumor patients, the eicosanac content in the fattt acid of tumor patients with Abnormal Savda had statisticallt significant ( P < 0. 05 ) . Conclusion GC technologt combined with OPLS-DA spatial analtsis pattern recognition metabolomics method has advantages in studting pathophtsio-logical changes of the bodt under the complicated conditions. The studt provides evidences for probing the changes of fattt acid content in patients with Abnormal Savda tumor stndromes, as well as theoretical support for predicting the occurrence and development of differ-ent Utgurian medicine stndromes.关键词
异常黑胆质证/肿瘤/脂肪酸/代谢/气相色谱法Key words
abnormal Savda stndrome/tumor/fattt acid/metabolomics/GC分类
医药卫生引用本文复制引用
孔彬,哈木拉提·吾甫尔,王强,巴吐尔·买买提明..气相色谱法分析维医异常黑胆质证肿瘤患者血浆脂肪酸代谢特点[J].中国药业,2016,25(23):9-13,14,6.基金项目
国家自然科学基金项目，项目编号81160459。 （）
