@article{4ebebcdab9c24f4490536d47c5b058a8,
title = "Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism",
abstract = "Glucose homeostasis is maintained by modulation of metabolic flux. Enzymes and metabolites regulate the involved metabolic pathways. Dysregulation of glucose homeostasis is a pathological event in obesity. Analyzing metabolic pathways and the mechanisms contributing to obesity-associated dysregulation in vivo is challenging. Here, we introduce OMELET: Omics-Based Metabolic Flux Estimation without Labeling for Extended Trans-omic Analysis. OMELET uses metabolomic, proteomic, and transcriptomic data to identify relative changes in metabolic flux, and to calculate contributions of metabolites, enzymes, and transcripts to the changes in metabolic flux. By evaluating the livers of fasting ob/ob mice, we found that increased metabolic flux through gluconeogenesis resulted primarily from increased transcripts, whereas that through the pyruvate cycle resulted from both increased transcripts and changes in substrates of metabolic enzymes. With OMELET, we identified mechanisms underlying the obesity-associated dysregulation of metabolic flux in the liver.",
keywords = "Metabolomics;, Proteomics, Systems biology, Transcriptomics",
author = "Saori Uematsu and Satoshi Ohno and Tanaka, {Kaori Y.} and Atsushi Hatano and Toshiya Kokaji and Yuki Ito and Hiroyuki Kubota and Hironaka, {Ken ichi} and Yutaka Suzuki and Masaki Matsumoto and Nakayama, {Keiichi I.} and Akiyoshi Hirayama and Tomoyoshi Soga and Shinya Kuroda",
note = "Funding Information: We are grateful to Maki Ohishi, Ayano Ueno, Keiko Endo, Sanae Ashitani, Keiko Kato, and Kaori Saitoh (Keio University) for their technical assistance with metabolomic analysis using CE-MS. We thank Shinsuke Uda of Kyushu University and our laboratory members for critically reading this manuscript and for their technical assistance with the experiments. The computational analysis of this work was performed in part with support of the supercomputer system of National Institute of Genetics (NIG), Research Organization of Information and Systems (ROIS). This manuscript was edited by Nancy R. Gough (BioSerendipity, LLC). This work was supported by the Japan Society for the Promotion of Science KAKENHI (JP17H06300, JP17H06299, JP18H03979, JP21H04759), the Japan Science and Technology Agency (JST) (JPMJCR2123), and by The Uehara Memorial Foundation. S.U. receives funding from JSPS KAKENHI Grant Number JP19J22134. S.O. receives funding from a Grant-in-Aid for Early-Career Scientists (JP17K14864 and JP21K14467). A. Hatano is supported by Grant-in-Aid from the Tokyo Biochemical Research Foundation. T.K. receives funding from JSPS KAKENHI Grant Number JP21K16349. H.K. was supported by JSPS KAKENHI JP20H03237. Y.S. was supported by the JSPS KAKENHI Grant Number JP17H06306. K.I.N. was supported by the JSPS KAKENHI Grant Number JP17H06301, JP18H05215. A. Hirayama was supported by the JSPS KAKENHI Grant Number JP18H04804. T.S. receives funding from the AMED from the Japan Agency for Medical Research and Development under Grant Number JP18gm0710003. S.U. S.O. and S.K. conceived the project; A. Hatano, T.K. Y.I. H.K. M.M. and K.I.N. designed and performed the animal experiments; A. Hirayama and T.S. performed metabolomic analysis using CE-MS; Y.S. performed transcriptomic analysis using RNA-seq; M.M. and K.I.N. performed proteomic analysis using LC-MS/MS; S.U. S.O. K.T. A. Hatano, T.K. Y.I. and K.H. analyzed the data; S.U. S.O. and K.T. performed mathematical modeling analyses. S.U. S.O. and S.K. wrote the manuscript. All authors read and approved the final manuscript. The authors declare no competing interests. Funding Information: This work was supported by the Japan Society for the Promotion of Science KAKENHI ( JP17H06300 , JP17H06299 , JP18H03979 , JP21H04759 ), the Japan Science and Technology Agency (JST) ( JPMJCR2123 ), and by The Uehara Memorial Foundation . S.U. receives funding from JSPS KAKENHI Grant Number JP19J22134 . S.O. receives funding from a Grant-in-Aid for Early-Career Scientists ( JP17K14864 and JP21K14467 ). A. Hatano is supported by Grant-in-Aid from the Tokyo Biochemical Research Foundation . T.K. receives funding from JSPS KAKENHI Grant Number JP21K16349 . H.K. was supported by JSPS KAKENHI JP20H03237 . Y.S. was supported by the JSPS KAKENHI Grant Number JP17H06306 . K.I.N. was supported by the JSPS KAKENHI Grant Number JP17H06301 , JP18H05215 . A. Hirayama was supported by the JSPS KAKENHI Grant Number JP18H04804 . T.S. receives funding from the AMED from the Japan Agency for Medical Research and Development under Grant Number JP18gm0710003 . Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
month = feb,
day = "18",
doi = "10.1016/j.isci.2022.103787",
language = "English",
volume = "25",
journal = "iScience",
issn = "2589-0042",
publisher = "Elsevier Inc.",
number = "2",
}