期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2021
卷号：19
页码：1956-1965
DOI：10.1016/j.csbj.2021.04.015
出版社：Computational and Structural Biotechnology Journal
摘要：Principal component analysis (PCA) is a useful tool for omics analysis to identify underlying factors and visualize relationships between biomarkers. However, this approach is limited in addressing life complexity and further improvement is required. This study aimed to develop a new approach that combines mass spectrometry-based metabolomics with multiblock PCA to elucidate the whole-body global metabolic network, thereby generating comparable metabolite maps to clarify the metabolic relationships among several organs. To evaluate the newly developed method, Zucker diabetic fatty (ZDF) rats ( n = 6) were used as type 2 diabetic models and Sprague Dawley (SD) rats ( n = 6) as controls. Metabolites in the heart, kidney, and liver were analyzed by capillary electrophoresis and liquid chromatography mass spectrometry, respectively, and the detected metabolites were analyzed by multiblock PCA. More than 300 metabolites were detected in the heart, kidney, and liver. When the metabolites obtained from the three organs were analyzed with multiblock PCA, the score and loading maps obtained were highly synchronized and their metabolism patterns were visually comparable. A significant finding in this study was the different expression patterns in lipid metabolism among the three organs; notably triacylglycerols with polyunsaturated fatty acids or less unsaturated fatty acids showed specific accumulation patterns depending on the organs.
关键词：Metabolomics ; Mass spectrometry ; Multiblock PCA ; Type 2 Diabetes ; Biomarkers ; LC/MS liquid chromatography mass spectrometry ; GC/MS gas chromatography mass spectrometry ; CE/MS capillary electrophoresis mass spectrometry ; PCA principal component analysis ; SD Sprague Dawley ; ZDF Zucker diabetic fatty ; QC quality control ; CV coefficient of variation ; UPLC ultra-performance liquid chromatography ; ESI electrospray ionization ; TG triacylglycerol ; TCA tricarboxylic acid;CoA; coenzyme A ; AMP adenosine monophosphate ; FABP fatty acid-binding protein ; PPAR peroxisome proliferator-activated receptor
