In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states.
In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states.
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DOI:
10.1038/s41598-022-17964-9
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发表时间:
2022-08-12
影响因子:
4.6
通讯作者:
Kuroda, Shinya
中科院分区:
文献类型:
--
作者:
Kokaji, Toshiya;Eto, Miki;Hatano, Atsushi;Yugi, Katsuyuki;Morita, Keigo;Ohno, Satoshi;Fujii, Masashi;Hironaka, Ken-ichi;Ito, Yuki;Egami, Riku;Uematsu, Saori;Terakawa, Akira;Pan, Yifei;Maehara, Hideki;Li, Dongzi;Bai, Yunfan;Tsuchiya, Takaho;Ozaki, Haruka;Inoue, Hiroshi;Kubota, Hiroyuki;Suzuki, Yutaka;Hirayama, Akiyoshi;Soga, Tomoyoshi;Kuroda, Shinya
Metabolic regulation in skeletal muscle is essential for blood glucose homeostasis. Obesity causes insulin resistance in skeletal muscle, leading to hyperglycemia and type 2 diabetes. In this study, we performed multiomic analysis of the skeletal muscle of wild-type (WT) and leptin-deficient obese (ob/ob) mice, and constructed regulatory transomic networks for metabolism after oral glucose administration. Our network revealed that metabolic regulation by glucose-responsive metabolites had a major effect on WT mice, especially carbohydrate metabolic pathways. By contrast, in ob/ob mice, much of the metabolic regulation by glucose-responsive metabolites was lost and metabolic regulation by glucose-responsive genes was largely increased, especially in carbohydrate and lipid metabolic pathways. We present some characteristic metabolic regulatory pathways found in central carbon, branched amino acids, and ketone body metabolism. Our transomic analysis will provide insights into how skeletal muscle responds to changes in blood glucose and how it fails to respond in obesity.
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影响因子:
56.9
作者:
Ishii, Nobuyoshi;Nakahigashi, Kenji;Tomita, Masaru
通讯作者:
Tomita, Masaru
影响因子:
14.9
作者:
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
通讯作者:
Tanabe M
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:
5.8
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
通讯作者:
Kuroda S
影响因子:
5.8
作者:
Kawata K;Hatano A;Yugi K;Kubota H;Sano T;Fujii M;Tomizawa Y;Kokaji T;Tanaka KY;Uda S;Suzuki Y;Matsumoto M;Nakayama KI;Saitoh K;Kato K;Ueno A;Ohishi M;Hirayama A;Soga T;Kuroda S
通讯作者:
Kuroda S