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ID 115074
タイトル別表記
Prediction Models for BMI and NAFLD
著者
Oniki, Kentaro Kumamoto University
Watanabe, Takehisa Kumamoto University
Kudo, Miku Kumamoto University
Izuka, Tomoko Kumamoto University
Ono, Tatsumasa Kumamoto University
Matsuda, Kazuki Kumamoto University
Sakamoto, Yuki Kumamoto University
Nagaoka, Katsuya Kumamoto University
Imafuku, Tadashi Kumamoto University
Watanabe, Hiroshi Kumamoto University
Maruyama, Toru Kumamoto University
Otake, Koji Japanese Red Cross Kumamoto Health Care Center
Ogata, Yasuhiro Kumamoto University
Saruwatari, Junji Kumamoto University
資料タイプ
学術雑誌論文
抄録
Nonalcoholic fatty liver disease (NAFLD) is closely associated with obesity. Disulfide bond‐forming oxidoreductase A‐like protein (DsbA‐L) is known to be a key molecule in protection against obesity and obesity‐induced inflammation. In the present study, we used a modeling and simulation approach in an attempt to develop body mass index (BMI) and BMI‐based NAFLD prediction models incorporating the DsbA‐L polymorphism to predict the BMI and NAFLD in 341 elderly subjects. A nonlinear mixed‐effect model best represented the sigmoidal relationship between the BMI and the logit function of the probability of NAFLD prevalence. The final models for BMI and NAFLD showed that DsbA‐L rs1917760 polymorphism, age, and gender were associated with the BMI, whereas gender, patatin‐like phospholipase 3 rs738409 polymorphism, HbA1c, and high‐density and low‐density lipoprotein cholesterol levels were associated with the risk of NAFLD. This information may aid in the genetic‐based prevention of obesity and NAFLD in the general elderly population.
掲載誌名
CPT: Pharmacometrics & Systems Pharmacology
ISSN
21638306
出版者
American Society for Clinical Pharmacology and Therapeutics|Wiley
7
6
開始ページ
384
終了ページ
393
発行日
2018-03-23
権利情報
© 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License(https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
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言語
eng
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部局
薬学系