Tissue specific lipid accumulation in response to amino acid signal

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H04583
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Animal production science
• Research Institution: The University of Tokyo
• Principal Investigator: Hakuno Fumihiko 東京大学, 大学院農学生命科学研究科(農学部), 助教 (30282700)
• Co-Investigator(Kenkyū-buntansha): 伊藤 昭博 国立研究開発法人理化学研究所, その他, 研究員 (40391859) ; 藤井 渉 東京大学, 大学院農学生命科学研究科(農学部), 助教 (40708161)
• Co-Investigator(Renkei-kenkyūsha): TAKAHASHI Shinichiro 東京大学, 大学院農学生命科学研究科, 准教授 (00197146) ; SHIOYA Ryuji 東洋大学, 総合情報学部, 教授 (70282689)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: アミノ酸代謝 / 脂肪合成 / 脂肪肝 / 筋脂肪交雑 / インスリン / インスリン様成長因子

Outline of Final Research Achievements

The present study was undertaken to evaluate the mechanism underlying that amino acid deficient diet regulates the lipid metabolism. Here we showed that Arg deficient diet induced liver Triacylglycerol (TG) accumulation by inhibiting lipid secretion from the liver. Low-amino acid diet accumulated liver TG by promoting lipid synthesis in liver. On the other hand, Lys deficient diet induced TG accumulation in muscle through induction of slow-muscle formation. By using machine learning method, relation between serum amino acid level and liver TG level was analyzed. Self-Organizing-Mapping (SOM) method could classify the TG level by using only serum amino acid level. Multiperceptron (MLP) analysis could predict the liver TG level from only serum amino acid level. These data showed that serum amino-acid profile could define liver TG level.

Free Research Field

分子内分泌学