대한방사선기술학회지:방사선기술과학 (Journal of radiological science and technology)

  • 제44권4호
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  • Pages.315-325
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  • 2021
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  • 2288-3509(pISSN)
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  • 2384-1168(eISSN)
대한방사선과학회 (Korean Society of Radiological Science)
권호 표지
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고지방식이 유도성 지방간 쥐 모델에서 간의 자기공명분광 분석을 이용한 지질 양성자 조성 변화 연구

The Study of Lipid Proton Composition Change in a Rat Model of High Fat Diet Induced Fatty Liver by Magnetic Resonance Spectroscopy Analysis

  • 김상혁 (전주대학교 방사선학과) ;
  • 유승만 (전주대학교 방사선학과)
  • Kim, Sang-Hyeok (Department of Radiological Science, Jeonju University) ;
  • Yu, Seung-Man (Department of Radiological Science, Jeonju University)
  • 투고 : 2021.08.10
  • 심사 : 2021.08.25
  • 발행 : 2021.08.31
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초록

The purpose of this study is to investigate the changes in lipid proton (LP) composition according to the induced obese fatty liver and to use it as basic data for treatment and diagnosis of fatty liver in the future. The phantom study was conducted to identify differences between STEAM and PRESS Pulse sequences in LP concentration. A high-fat diet (60%) was administered to eight Sprague-Dawley rats to induce obesity and fatty liver disease. Baseline magnetic resonance imaging /spectroscopy data were obtained prior to the introduction of high-fat diet, and data acquisition experiments were performed after eight weeks using procedures identical to those used for baseline studies. The six lipid proton metabolites were calculated using LCModel software. The correlation between the fat percentage and each LP, revealed that the methylene protons at 1.3 ppm showed the highest positive correlation. The α-methylene protons to carboxyl and diallylic protons showed negative correlation with fat percentage. The methylene proton showed the highest increase in the LP; however, it constituted only 71.86% of the total LP concentration. The methylene proton plays a leading role in fat accumulation in liver parenchyma.

키워드

과제정보

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (Grant no. 2021R1F1A1056078 and 2018R1D1A1A02085800)

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