Chemistry Department, Duke University, Durham, NC, USA.
J Lipid Res. 2011 Apr;52(4):833-9. doi: 10.1194/jlr.D012468. Epub 2011 Jan 26.
We introduce an in vivo spectroscopic method to assess the effects of diet on fatty acid composition of the predominant chemical constituent of adipocytes in mice. To do this, we make use of a nonlinear NMR signal that, unlike a standard NMR signal, is intrinsically insensitive to local magnetic field inhomogeneities and which naturally suppresses the large water signal from nonfatty tissues. Our method yields fat composition information from fat depots distributed over large sample volumes in a single experiment, without requiring the use of tedious shimming procedures, voxel selection, or water suppression. Our results suggest that this method can reveal clear differences in adipose tissue composition of mice fed a standard chow diet compared with mice fed a diet rich in polyunsaturated fatty acids. With further developments this method could be used to obtain information on human lipid composition noninvasively and to track changes in lipid composition induced by diet intervention, pharmaceutical drugs, and exercise.
我们介绍了一种在体光谱方法,用于评估饮食对小鼠脂肪细胞主要化学成分中脂肪酸组成的影响。为此,我们利用一种非线性 NMR 信号,该信号与标准 NMR 信号不同,对局部磁场不均匀性固有不敏感,并且自然抑制来自非脂肪组织的大水信号。我们的方法从单个实验中分布在大样本体积的脂肪库中获得脂肪组成信息,而无需使用繁琐的匀场程序、体素选择或水抑制。我们的结果表明,与喂食富含多不饱和脂肪酸饮食的小鼠相比,该方法可以清楚地区分喂食标准饲料的小鼠的脂肪组织组成。随着进一步的发展,该方法可用于无创获取人类脂质组成信息,并跟踪饮食干预、药物和运动引起的脂质组成变化。