Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism

被引:10
作者
Uematsu, Saori [1 ]
Ohno, Satoshi [2 ,3 ]
Tanaka, Kaori Y. [1 ]
Hatano, Atsushi [4 ]
Kokaji, Toshiya
Ito, Yuki [1 ,5 ]
Kubota, Hiroyuki [5 ]
Hironaka, Ken-ichi [3 ]
Suzuki, Yutaka [1 ]
Matsumoto, Masaki [4 ]
Nakayama, Keiichi I. [6 ]
Hirayama, Akiyoshi [7 ]
Soga, Tomoyoshi [7 ]
Kuroda, Shinya [1 ,2 ,3 ]
机构
[1] Univ Tokyo, Grad Sch Frontier Sci, Dept Computat Biol & Med Sci, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778562, Japan
[2] Univ Tokyo, Grad Sch Sci, Mol Genet Res Lab, Bunkyo Ku, 7-3-1 Hongo, Tokyo, Japan
[3] Univ Tokyo, Grad Sch Sci, Dept Biol Sci, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1130033, Japan
[4] Niigata Univ, Grad Sch Med & Dent Sci, Dept Omics & Syst Biol, Chuo Ku, 757 Ichibancho, Niigata 9518510, Japan
[5] Kyushu Univ, Med Inst Bioregulat, Res Ctr Trans Med, Div Integrated Omics,Higashi Ku, 3-1-1 Maidashi, Fukuoka 8128582, Japan
[6] Kyushu Univ, Med Inst Bioregulat, Dept Mol & Cellular Biol, Higashi Ku, 3-1-1 Maidashi, Fukuoka 8128582, Japan
[7] Keio Univ, Inst Adv Biosci, 246-2 Mizukami, Tsuruoka, Yamagata 9970052, Japan
基金
日本科学技术振兴机构; 日本学术振兴会;
关键词
Multi-omic data; Substrate Product; Allosteric Cofactor; Gluconeogenic flux; HEPATIC INSULIN-RESISTANCE; CITRIC-ACID CYCLE; IN-VITRO; TCA CYCLE; YEAST GLYCOLYSIS; ISOTOPE TRACERS; PLASMA-GLUCOSE; KINETIC-MODELS; GLUCONEOGENESIS; NETWORKS;
D O I
10.1016/j.isci.2022.103787
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:36
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