- 著者
- Naohisa NOSAKA Michio KASAI Masahiro NAKAMURA Isamu TAKAHASHI Megumi ITAKURA Hiroyuki TAKEUCHI Toshiaki AOYAMA Hiroaki TSUJI Mitsuko OKAZAKI Kazuo KONDO
- 出版者
- (社)日本農芸化学会
- 雑誌
- Bioscience, Biotechnology, and Biochemistry (ISSN:09168451)
- 巻号頁・発行日
- vol.66, no.8, pp.1713-1718, 2002 (Released:2003-06-11)
- 参考文献数
- 25
- 被引用文献数
- 15
The objective of this study was to investigate effects of dietary medium-chain triacylglycerols (MCTs) on serum lipid levels, liver function, and hepatic fat accumulations in healthy men. Eleven subjects consumed 2200-2600 kcal daily, of which 70-80 g was fat; the fat included 40 g of MCTs or else 40 g of long-chain triacylglycerols (blended vegetable oil). The diet was followed for 4 weeks in this controlled double-blind study. At the end of the experiment, significant differences were not found in the concentrations of serum total cholesterol, very low density lipoprotein cholesterol, low density lipoprotein cholesterol, and high density lipoprotein cholesterol between the groups. Serum triglycerol levels were not significantly different in the groups. Adverse effects from ingestion of MCTs on liver functions, the liver-to-spleen ratio on computed tomography (an index of fatty liver), or results of blood tests were not seen. The results suggest that the long-term effects of dietary MCTs on serum cholesterol were similar to those of unsaturated fatty acids found abundantly in vegetable oil, and that consumption of MCTs in the amount of 40 g/day for a month does not cause liver fat accumulation or liver dysfunction.
- 著者
- TAKENORI INOMATA JAEMYOUNG SUNG MASAHIRO NAKAMURA MASAO IWAGAMI YUICHI OKUMURA KENTA FUJIO YASUTSUGU AKASAKI KEIICHI FUJIMOTO AI YANAGAWA AKIE MIDORIKAWA-INOMATA KEN NAGINO ATSUKO EGUCHI HURRRAMHON SHOKIROVA JUN ZHU MARIA MIURA MIZU KUWAHARA KUNIHIKO HIROSAWA TIANXING HUANG YUKI MOROOKA AKIRA MURAKAMI
- 出版者
- The Juntendo Medical Society
- 雑誌
- 順天堂醫事雑誌 (ISSN:21879737)
- 巻号頁・発行日
- vol.67, no.6, pp.519-529, 2021 (Released:2021-12-31)
- 参考文献数
- 67
- 被引用文献数
- 9
Society 5.0, a visionary human-centered societal model, fuels economic development and resolves long-standing social problems. The model establishes a technological foundation and social contract to integrate cyberspace into the physical (real) space fully. The medical infrastructure outlined by the model envisions a healthcare paradigm that revolves around preventative, lifelong patient- and population- centered care that functions seamlessly within one's daily life. In satisfying this goal, cross-hierarchical integrative data-driven biological research has received attention due to medical big data and artificial intelligence (AI) technologies, capable of highly accurate and rapid data analysis. However, the collection of big data has been a bottleneck, and the capability of AI analysis is not being utilized to its full potential. In solving this obstacle, we explore mobile health (mHealth) and multi-omics as two rich sources of medical big data. Additionally, we discuss the implications of cross-hierarchical integrative analysis that encompasses all levels of cellular function, from intracellular molecular dynamics to end-phenotypes. This is to understand ocular disease pathology and implement the pillars of P4 (predictive, personalized, preventative, participatory) medicine toward human-centered healthcare. Here, we discuss notable studies in utilizing mHealth to stratify subjective symptoms, presentations of dry eye disease, and employing multi-omics machine learning targeted at elucidating immunologic mechanisms of corneal allograft rejection and ocular inflammation. We also discuss the role of cross-hierarchical integrative data-driven research in promoting future-oriented healthcare envisioned by the Society 5.0 plan.