ArticleiScience2021
Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle.
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Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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Who cites it
20 citing papers in PubMed, 36 citations in OpenAlex.
- The Gibbs free energy landscape based on liver metabolome revealed thermodynamic robustness against fasting and obesity.iScience · 2026Article
- Vascularized Liver-on-a-Microsphere Reveals Alanine-Glucose Metabolism-Driven Regulation of Liver Function and Injury.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Transomic analysis reveals DNA methylation and transcription factor roles in obese liver protein expression.NPJ systems biology and applications · 2025Article
- Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.Circulation research · 2025Review
- The neglected PCK1/glucagon (inter)action in nutrient homeostasis beyond gluconeogenesis: Disease pathogenesis and treatment.Molecular metabolism · 2025Review
- Multi-tissue metabolomics reveal mtDNA- and diet-specific metabolite profiles in a mouse model of cardiometabolic disease.Redox biology · 2025Article
- Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver.NPJ systems biology and applications · 2024Article
- Multiomics Picture of Obesity in Young Adults.Biology · 2024Article
- Trans-omic analysis reveals opposite metabolic dysregulation between feeding and fasting in liver associated with obesity.iScience · 2024Article
- Scoping Pleiotropy of CK2 in Musculoskeletal Disorders for a Novel Targeting Approach.Kinases and phosphatases · 2024Article
- iTraNet: a web-based platform for integrated trans-omics network visualization and analysis.Bioinformatics advances · 2024Article
- DNA hypomethylation characterizes genes encoding tissue-dominant functional proteins in liver and skeletal muscle.Scientific reports · 2023Article
- Blockade of glucagon increases muscle mass and alters fiber type composition in mice deficient in proglucagon-derived peptides.Journal of diabetes investigation · 2023Article
- Article
- In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states.Scientific reports · 2022Article
- Quantitative metabolic fluxes regulated by trans-omic networks.The Biochemical journal · 2022Review
- Integrated Liver and Plasma Proteomics in Obese Mice Reveals Complex Metabolic Regulation.Molecular & cellular proteomics : MCP · 2022Article
- Multi-omics-based label-free metabolic flux inference reveals obesity-associated dysregulatory mechanisms in liver glucose metabolism.iScience · 2022Article
- Grape polyphenols decrease circulating branched chain amino acids in overfed adults.Frontiers in nutrition · 2022Article
- High Protein Diets Improve Liver Fat and Insulin Sensitivity by Prandial but Not Fasting Glucagon Secretion in Type 2 Diabetes.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
24 authors at 9 institutions in 1 country.
Riku EgamiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Toshiya KokajiDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Atsushi HatanoDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Katsuyuki YugiDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Miki EtoDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Keigo MoritaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Satoshi OhnoDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Masashi FujiiDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Ken-Ichi HironakaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Saori UematsuDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Akira TerakawaDepartment of Biological Sciences, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Yunfan BaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Yifei PanDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Takaho TsuchiyaBioinformatics Laboratory, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Haruka OzakiBioinformatics Laboratory, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Hiroshi InoueMetabolism and Nutrition Research Unit, Institute for Frontier Science Initiative, Kanazawa University, 13-1 Takaramachi, Kanazawa, Ishikawa, 920-8641, Japan.
Shinsuke UdaDivision of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Hiroyuki KubotaDivision of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
Masaki MatsumotoDepartment of Omics and Systems Biology, Graduate School of Medical and Dental Sciences, Niigata University, 757 Ichibancho, Asahimachi-dori, Chuo-ku, Niigata City, Niigata 951-8510, Japan.
Keiichi I NakayamaDepartment of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Akiyoshi HirayamaInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan.
Tomoyoshi SogaInstitute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan.
Shinya KurodaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8562, Japan.
The University of Tokyo · JPKyushu University · JPJapan Science and Technology Agency · JPKeio University · JPNiigata University Medical and Dental Hospital · JPUniversity of Tsukuba · JPHiroshima University · JPKanazawa University · JPTokyo University of Science · JP
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systemic metabolic homeostasis is regulated by inter-organ metabolic cycles involving multiple organs. Obesity impairs inter-organ metabolic cycles, resulting in metabolic diseases. The systemic landscape of dysregulated inter-organ metabolic cycles in obesity has yet to be explored. Here, we measured the transcriptome, proteome, and metabolome in the liver and skeletal muscle and the metabolome in blood of fasted wild-type and leptin-deficient obese (
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Biological SciencesEndocrinologyMetabolomicsOmicsProteomicsSystems BiologyTranscriptomic
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