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
日本学术振兴会; 日本科学技术振兴机构;
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
相关论文
共 89 条
  • [1] A guide to 13C metabolic flux analysis for the cancer biologist
    Antoniewicz, Maciek R.
    [J]. EXPERIMENTAL AND MOLECULAR MEDICINE, 2018, 50 : 1 - 13
  • [2] TRACING HEPATIC GLUCONEOGENESIS RELATIVE TO CITRIC-ACID CYCLE ACTIVITY IN-VITRO AND IN-VIVO - COMPARISONS IN THE USE OF [3-C-13]LACTATE, [2-C-13]ACETATE, AND ALPHA-KETO[3-C-13]ISOCAPROATE
    BEYLOT, M
    SOLOVIEV, MV
    DAVID, F
    LANDAU, BR
    BRUNENGRABER, H
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 1995, 270 (04) : 1509 - 1514
  • [3] A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway
    Bhattacharya, Bonhi S.
    Sweby, Peter K.
    Minihane, Anne-Marie
    Jackson, Kim G.
    Tindall, Marcus J.
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 2014, 349 : 150 - 162
  • [4] Effect of murine strain on metabolic pathways of glucose production after brief or prolonged fasting
    Burgess, SC
    Jeffrey, FMH
    Storey, C
    Milde, A
    Hausler, N
    Merritt, ME
    Mulder, H
    Holm, C
    Sherry, AD
    Malloy, CR
    [J]. AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM, 2005, 289 (01): : E53 - E61
  • [5] Limitations of detection of anaplerosis and pyruvate cycling from metabolism of [1-13C] acetate
    Burgess, Shawn C.
    Merritt, Mathew E.
    Jones, John G.
    Browning, Jeffrey D.
    Sherry, A. Dean
    Malloy, Craig R.
    [J]. NATURE MEDICINE, 2015, 21 (02) : 108 - U9
  • [6] Nonalcoholic Fatty Liver Disease: A Review of Current Understanding and Future Impact
    Charlton, Michael
    [J]. CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, 2004, 2 (12) : 1048 - 1058
  • [7] Absolute Quantification of Matrix Metabolites Reveals the Dynamics of Mitochondrial Metabolism
    Chen, Walter W.
    Freinkman, Elizaveta
    Wang, Tim
    Birsoy, Kivanc
    Sabatini, David M.
    [J]. CELL, 2016, 166 (05) : 1324 - +
  • [8] Refined elasticity sampling for Monte Carlo-based identification of stabilizing network patterns
    Childs, Dorothee
    Grimbs, Sergio
    Selbig, Joachim
    [J]. BIOINFORMATICS, 2015, 31 (12) : 214 - 220
  • [9] Ensembl 2015
    Cunningham, Fiona
    Amode, M. Ridwan
    Barrell, Daniel
    Beal, Kathryn
    Billis, Konstantinos
    Brent, Simon
    Carvalho-Silva, Denise
    Clapham, Peter
    Coates, Guy
    Fitzgerald, Stephen
    Gil, Laurent
    Giron, Carlos Garcia
    Gordon, Leo
    Hourlier, Thibaut
    Hunt, Sarah E.
    Janacek, Sophie H.
    Johnson, Nathan
    Juettemann, Thomas
    Kaehaeri, Andreas K.
    Keenan, Stephen
    Martin, Fergal J.
    Maurel, Thomas
    McLaren, William
    Murphy, Daniel N.
    Nag, Rishi
    Overduin, Bert
    Parker, Anne
    Patricio, Mateus
    Perry, Emily
    Pignatelli, Miguel
    Riat, Harpreet Singh
    Sheppard, Daniel
    Taylor, Kieron
    Thormann, Anja
    Vullo, Alessandro
    Wilder, Steven P.
    Zadissa, Amonida
    Aken, Bronwen L.
    Birney, Ewan
    Harrow, Jennifer
    Kinsella, Rhoda
    Muffato, Matthieu
    Ruffier, Magali
    Searle, Stephen M. J.
    Spudich, Giulietta
    Trevanion, Stephen J.
    Yates, Andy
    Zerbino, Daniel R.
    Flicek, Paul
    [J]. NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) : D662 - D669
  • [10] Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro kcat measurements
    Davidi, Dan
    Noor, Elad
    Liebermeister, Wolfram
    Bar-Even, Arren
    Flamholz, Avi
    Tummler, Katja
    Barenholz, Uri
    Goldenfeld, Miki
    Shlomi, Tomer
    Milo, Ron
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (12) : 3401 - 3406