Affiliation: Keio University
Ishii C, Nakanishi Y, Murakami S, Nozu R, Ueno M, Hioki K, et al
. A Metabologenomic Approach Reveals Changes in the Intestinal Environment of Mice Fed on American Diet. Int J Mol Sci. 2018;19: pubmed publisher
..Thus, our metabologenomic approach is expected to provide new insights and understanding of intestinal metabolic dynamics in complex microbial ecosystems. ..
Yamamoto Y, Nakanishi Y, Murakami S, Aw W, Tsukimi T, Nozu R, et al
. A Metabolomic-Based Evaluation of the Role of Commensal Microbiota throughout the Gastrointestinal Tract in Mice. Microorganisms. 2018;6: pubmed publisher
..Collectively, commensal microbiota partially affects the gastrointestinal luminal metabolite composition based on their metabolic dynamics, in cooperation with host digestion and absorption. ..
Kuranaga Y, Sugito N, Shinohara H, Tsujino T, Taniguchi K, Komura K, et al
. SRSF3, a Splicer of the PKM Gene, Regulates Cell Growth and Maintenance of Cancer-Specific Energy Metabolism in Colon Cancer Cells. Int J Mol Sci. 2018;19: pubmed publisher
..These findings altogether indicated that SRSF3 as a PKM splicer played a positive role in cancer-specific energy metabolism. ..
Soga T, Baran R, Suematsu M, Ueno Y, Ikeda S, Sakurakawa T, et al
. Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. J Biol Chem. 2006;281:16768-76 pubmed
..Our method can thus pinpoint specific metabolite changes and provide insights into the perturbation of metabolic pathways on a large scale and serve as a powerful new tool for discovering low molecular weight biomarkers. ..
Hirayama A, Igarashi K, Tomita M, Soga T. Development of quantitative method for determination of Î³-glutamyl peptides by capillary electrophoresis tandem mass spectrometry: an efficient approach avoiding matrix effect. J Chromatogr A. 2014;1369:161-9 pubmed publisher
..10 nl). The CE-MS/MS method provided high resolution and proved to be highly selective and sensitive, its utility being demonstrated by the determination of Î³-glutamyl di- and tripeptides in serum and liver samples. ..
Nakajima T, Katsumata K, Kuwabara H, Soya R, Enomoto M, Ishizaki T, et al
. Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls. Int J Mol Sci. 2018;19: pubmed publisher
..961 (95% CI: 0.937-0.984, p < 0.0001). Computational validations confirmed the generalization ability of the models. Taken together, polyamines and a machine-learning method showed potential as a screening tool of CRC. ..
Soga T, Sugimoto M, Honma M, Mori M, Igarashi K, Kashikura K, et al
. Serum metabolomics reveals ?-glutamyl dipeptides as biomarkers for discrimination among different forms of liver disease. J Hepatol. 2011;55:896-905 pubmed publisher
..Glutamyl dipeptides are novel biomarkers for liver diseases, and varying levels of individual or groups of these peptides have the power to discriminate among different forms of hepatic disease. ..
Soga T. Cancer metabolism: key players in metabolic reprogramming. Cancer Sci. 2013;104:275-81 pubmed publisher
..This paper reviews recent findings related to key transcription factors and enzymes that play an important role in the regulation of cancer metabolism. ..
Itoi T, Sugimoto M, Umeda J, Sofuni A, Tsuchiya T, Tsuji S, et al
. Serum Metabolomic Profiles for Human Pancreatic Cancer Discrimination. Int J Mol Sci. 2017;18: pubmed publisher
..Changes in metabolomic profiles might be used to screen for malignant cancers as well as to differentiate between PC and other malignant diseases. ..