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Dive into the research topics where Masato Masuda is active.

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Featured researches published by Masato Masuda.


Scientific Reports | 2018

Importance of Serum Amino Acid Profile for Induction of Hepatic Steatosis under Protein Malnutrition

Hiroki Nishi; Daisuke Yamanaka; Hiroyasu Kamei; Yuki Goda; Mikako Kumano; Yuka Toyoshima; Asako Takenaka; Masato Masuda; Yasushi Nakabayashi; Ryuji Shioya; Naoyuki Kataoka; Fumihiko Hakuno; Shinichiro Takahashi

We previously reported that a low-protein diet caused animals to develop fatty liver containing a high level of triglycerides (TG), similar to the human nutritional disorder “kwashiorkor”. To investigate the underlying mechanisms, we cultured hepatocytes in amino acid-sufficient or deficient medium. Surprisingly, the intracellular TG level was increased by amino acid deficiency without addition of any lipids or hormones, accompanied by enhanced lipid synthesis, indicating that hepatocytes themselves monitored the extracellular amino acid concentrations to induce lipid accumulation in a cell-autonomous manner. We then confirmed that a low-amino acid diet also resulted in the development of fatty liver, and supplementation of the low-amino acid diet with glutamic acid to compensate the loss of nitrogen source did not completely suppress the hepatic TG accumulation. Only a dietary arginine or threonine deficiency was sufficient to induce hepatic TG accumulation. However, supplementation of a low-amino acid diet with arginine or threonine failed to reverse it. In silico analysis succeeded in predicting liver TG level from the serum amino acid profile. Based on these results, we conclude that dietary amino acid composition dynamically affects the serum amino acid profile, which is sensed by hepatocytes and lipid synthesis was activated cell-autonomously, leading to hepatic steatosis.


Journal of Computational Science and Technology | 2012

Radius Parallel Self-Organizing Map (RPSOM)

Masato Masuda; Yasushi Nakabayashi; Genki Yagawa


The Proceedings of The Computational Mechanics Conference | 2017

自己組織化マップを用いた食餌中アミノ酸濃度、血中アミノ酸濃度、肝臓脂肪量 の関係分類

Fumihiko Hakuno; Masato Masuda; Yasushi Nakabayashi; Hiroki Nishi; Disuke Yamanaka; Shinichiro Takahashi; Ryuji Shioya


The Proceedings of The Computational Mechanics Conference | 2017

Prediction of Numerical Analysis Result using Deep Learning

Masato Masuda; Yasushi Nakabayashi; Yoshiaki Tamura


The Japanese Biochemical Society/The Molecular Biology Society of Japan | 2017

Old and New Regulatory Mechanisms of Insulin-Like Activities by Amino Acid Signals

Shin-Ichiro Takahashi; Fumihiko Hakuno; Asako Takenaka; Yuka Toyoshima; Masato Masuda; Hisanori Kato; Hideki Ushio


intelligent information systems | 2016

Study of Effects of Blood Amino Acid and Hormone Level for Controlling Triglyceride Accumulation in the Liver of Rats Using Self-Organizing Map

Masato Masuda; Yasushi Nakabayashi; Ryuji Shioya; Hiroki Nishi; Shinichiro Takahashi; Fumihiko Hakuno


The Proceedings of The Computational Mechanics Conference | 2016

Prediction of Coupled Analysis Results using Deep Learning

Masato Masuda; Yasushi Nakabayashi; Yoshiaki Tamura


The Proceedings of The Computational Mechanics Conference | 2015

321 Classification of relationship between blood Amino acid and Triglyceride accumulation in liver of rats using the Self-Organizing Map

Masato Masuda; Ryuji Shioya; Yasushi Nakabayashi; Fumihiko Hakuno; Hiroki Nishi; Shin-Ichiro Takahashi; Yoshiaki Tamura


The Japanese Biochemical Society/The Molecular Biology Society of Japan | 2015

Prediction of lipid accumulation product in liver of rats fed on various amino acid deficient diets by machine learning

Masato Masuda; Masahiro Tateno; Hiroki Nishi; Shin-Ichiro Takahashi; Ryuji Shioya; Fumihiko Hakuno


The Proceedings of The Computational Mechanics Conference | 2014

Prediction of Analysis Result using Self-Organizing Map

Masato Masuda; Yasushi Nakabayashi; Yoshiaki Tamura

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Shin-Ichiro Takahashi

University of North Carolina at Chapel Hill

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