Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle.
Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle.
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DOI:
10.1016/j.isci.2021.102217
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发表时间:
2021-03-19
期刊:
影响因子:
5.8
通讯作者:
Kuroda S
中科院分区:
文献类型:
--
作者:
Egami R;Kokaji T;Hatano A;Yugi K;Eto M;Morita K;Ohno S;Fujii M;Hironaka KI;Uematsu S;Terakawa A;Bai Y;Pan Y;Tsuchiya T;Ozaki H;Inoue H;Uda S;Kubota H;Suzuki Y;Matsumoto M;Nakayama KI;Hirayama A;Soga T;Kuroda S
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 (ob/ob) mice, identifying components with differential abundance and differential regulation in ob/ob mice. By constructing and evaluating the trans-omic network controlling the differences in metabolic reactions between fasted wild-type and ob/ob mice, we provided potential mechanisms of the obesity-associated dysfunctions of metabolic cycles between liver and skeletal muscle involving glucose-alanine, glucose-lactate, and ketone bodies. Our study revealed obesity-associated systemic pathological mechanisms of dysfunction of inter-organ metabolic cycles. Multi-omic data in liver and skeletal muscle of WT and ob/ob mice were measured We developed the trans-omic network of differentially regulated metabolic reactions Dysregulation of inter-organ metabolic cycles associated with obesity was revealed Biological Sciences ; Endocrinology ; Systems Biology ; Omics ; Proteomics ; Metabolomics ; Transcriptomic
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影响因子:
14.9
作者:
Flicek P;Amode MR;Barrell D;Beal K;Billis K;Brent S;Carvalho-Silva D;Clapham P;Coates G;Fitzgerald S;Gil L;Girón CG;Gordon L;Hourlier T;Hunt S;Johnson N;Juettemann T;Kähäri AK;Keenan S;Kulesha E;Martin FJ;Maurel T;McLaren WM;Murphy DN;Nag R;Overduin B;Pignatelli M;Pritchard B;Pritchard E;Riat HS;Ruffier M;Sheppard D;Taylor K;Thormann A;Trevanion SJ;Vullo A;Wilder SP;Wilson M;Zadissa A;Aken BL;Birney E;Cunningham F;Harrow J;Herrero J;Hubbard TJ;Kinsella R;Muffato M;Parker A;Spudich G;Yates A;Zerbino DR;Searle SM
通讯作者:
Searle SM
影响因子:
14.9
作者:
Jeske L;Placzek S;Schomburg I;Chang A;Schomburg D
通讯作者:
Schomburg D
影响因子:
4.4
作者:
Freidman, Natasha;Chen, Ichia;Ryan, Renae
通讯作者:
Ryan, Renae
影响因子:
64.8
作者:
Kahn, Steven E.;Hull, Rebecca L.;Utzschneider, Kristina M.
通讯作者:
Utzschneider, Kristina M.
DOI:
10.1126/science.1204265
发表时间:
2011-06-24
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Cohen JC;Horton JD;Hobbs HH
通讯作者:
Hobbs HH