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エグチ セイイチロウ
EGUCHI SEIICHIRO
江口 盛一郎 所属 医学部 医学科（東京女子医科大学病院） 職種 助教 |
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| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | PiTMaP: A New Analytical Platform for High-Throughput Direct Metabolome Analysis by Probe Electrospray Ionization/Tandem Mass Spectrometry Using an R Software-Based Data Pipeline. |
| 掲載誌名 | 正式名：Analytical chemistry 略 称：Anal Chem ISSNコード：15206882/00032700 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 92(12),pp.8514-8522 |
| 著者・共著者 | Zaitsu Kei†*, Eguchi Seiichiro, Ohara Tomomi, Kondo Kenta, Ishii Akira, Tsuchihashi Hitoshi, Kawamata Takakazu, Iguchi Akira |
| 発行年月 | 2020/06 |
| 概要 | A new analytical platform called PiTMaP was developed for high-throughput direct metabolome analysis by probe electrospray ionization/tandem mass spectrometry (PESI/MS/MS) using an R software-based data pipeline. PESI/MS/MS was used as the data acquisition technique, applying a scheduled-selected reaction monitoring method to expand the targeted metabolites. Seventy-two metabolites mainly related to the central energy metabolism were selected; data acquisition time was optimized using mouse liver and brain samples, indicating that the 2.4 min data acquisition method had a higher repeatability than the 1.2 and 4.8 min methods. A data pipeline was constructed using the R software, and it was proven that it can (i) automatically generate box-and-whisker plots for all metabolites, (ii) perform multivariate analyses such as principal component analysis (PCA) and projection to latent structures-discriminant analysis (PLS-DA), (iii) generate score and loading plots of PCA and PLS-DA, (iv) calculate variable importance of projection (VIP) values, (v) determine a statistical family by VIP value criterion, (vi) perform tests of significance with the false discovery rate (FDR) correction method, and (vii) draw box-and-whisker plots only for significantly changed metabolites. These tasks could be completed within ca. 1 min. Finally, PiTMaP was applied to two cases: (1) an acetaminophen-induced acute liver injury model and control mice and (2) human meningioma samples with different grades (G1-G3), demonstrating the feasibility of PiTMaP. PiTMaP was found to perform data acquisition without tedious sample preparation and a posthoc data analysis within ca. 1 min. Thus, it would be a universal platform to perform rapid metabolic profiling of biological samples. |
| DOI | 10.1021/acs.analchem.0c01271 |
| PMID | 32375466 |