Multiblock metabolomics: An approach to elucidate whole-body metabolism with multiblock principal component analysis
| Autor: | Katsuhiko Sasaki, Chihiro Hayashi, Ko Igami, Tomoko Katahira, Kazuhiro Tanabe |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
LC/MS
liquid chromatography mass spectrometry SD Sprague Dawley Metabolite Biophysics Metabolic network PPAR peroxisome proliferator-activated receptor Biochemistry UPLC ultra-performance liquid chromatography 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Metabolomics Structural Biology Liquid chromatography–mass spectrometry Genetics 030304 developmental biology ComputingMethodologies_COMPUTERGRAPHICS chemistry.chemical_classification 0303 health sciences PCA principal component analysis Mass spectrometry ESI electrospray ionization CV coefficient of variation Lipid metabolism Metabolism FABP fatty acid-binding protein Computer Science Applications Multiblock PCA Type 2 Diabetes TG triacylglycerol QC quality control CE/MS capillary electrophoresis mass spectrometry chemistry GC/MS gas chromatography mass spectrometry AMP adenosine monophosphate 030220 oncology & carcinogenesis Principal component analysis TCA tricarboxylic acid. CoA coenzyme A ZDF Zucker diabetic fatty TP248.13-248.65 Biomarkers Polyunsaturated fatty acid Biotechnology Research Article |
| Zdroj: | Computational and Structural Biotechnology Journal Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 1956-1965 (2021) |
| ISSN: | 2001-0370 |
| Popis: | Graphical abstract Highlights • “Multiblock metabolomics” elucidates the global metabolic network in a whole body. • “Multiblock metabolomics” combines LC/MS-based metabolomics with multiblock PCA. • “Multiblock metabolomics” highlights and elicits organ-specific metabolism. • TGs with less unsaturated fatty acids were highly accumulated in the diabetic liver. 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. |
| Databáze: | OpenAIRE |
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