Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
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DOI：
10.1371/journal.pone.0037026
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Schürmann A
中科院分区：
文献类型：
--
作者：
Lubura M;Hesse D;Neumann N;Scherneck S;Wiedmer P;Schürmann A
肥胖及其分布模式是预测人类糖尿病发病的重要因素。由于几种小鼠模型适合研究 2 型糖尿病的病理生理学，因此目的是验证一种新型计算机断层扫描模型 (Aloka-Hitachi LCT-200)，用于量化小鼠内脏、皮下、棕色和肝内脂肪库。使用不同的瘦和肥胖小鼠模型（C57BL/6、B6.V-Lepob、NZO）来确定检测不同脂肪库的最合适的扫描参数。将数据与制备并称重脂肪库后获得的数据进行比较。通过生化分析测定肝脏脂肪含量。秤上脂肪组织的重量与 CT 确定的重量之间的相关性对于皮下脂肪组织 (r2 = 0.995)、内脏脂肪组织 (r2 = 0.990) 和总白色脂肪组织 (r2 = 0.992) 具有显着相关性。此外，腰椎 L4 至 L5 之间的腹部区域扫描与全身脂肪分布相关，使实验人员能够减少扫描时间以及动物暴露于辐射和麻醉的情况。重测可靠性和由不同实验者进行的测量表明所获得的结果具有很高的可重复性。 CT估算的肝内脂肪含量与生化分析呈线性相关（r2 = 0.915）。此外，棕色脂肪量与加权棕色脂肪库密切相关（r2 = 0.952）。此外，短期冷暴露（4°C，4小时）会导致棕色脂肪组织发生变化，原因是甘油三酯含量减少，通过CT成像可以将其可视化为亨斯菲尔德单位的增加。 CT 脂肪 3D 成像为小鼠总脂肪、内脏脂肪、皮下脂肪、棕色脂肪和肝内脂肪的定量提供了可靠的结果。这种非侵入性方法可以对小鼠肥胖进行纵向研究，从而使实验人员能够研究糖尿病和肥胖等复杂疾病的发病情况。
Obesity and its distribution pattern are important factors for the prediction of the onset of diabetes in humans. Since several mouse models are suitable to study the pathophysiology of type 2 diabetes the aim was to validate a novel computed tomograph model (Aloka-Hitachi LCT-200) for the quantification of visceral, subcutaneous, brown and intrahepatic fat depots in mice. Different lean and obese mouse models (C57BL/6, B6.V-Lepob, NZO) were used to determine the most adequate scanning parameters for the detection of the different fat depots. The data were compared with those obtained after preparation and weighing the fat depots. Liver fat content was determined by biochemical analysis. The correlations between weights of fat tissues on scale and weights determined by CT were significant for subcutaneous (r2 = 0.995), visceral (r2 = 0.990) and total white adipose tissue (r2 = 0.992). Moreover, scans in the abdominal region, between lumbar vertebrae L4 to L5 correlated with whole-body fat distribution allowing experimenters to reduce scanning time and animal exposure to radiation and anesthesia. Test-retest reliability and measurements conducted by different experimenters showed a high reproducibility in the obtained results. Intrahepatic fat content estimated by CT was linearly related to biochemical analysis (r2 = 0.915). Furthermore, brown fat mass correlated well with weighted brown fat depots (r2 = 0.952). In addition, short-term cold-expose (4°C, 4 hours) led to alterations in brown adipose tissue attributed to a reduction in triglyceride content that can be visualized as an increase in Hounsfield units by CT imaging. The 3D imaging of fat by CT provides reliable results in the quantification of total, visceral, subcutaneous, brown and intrahepatic fat in mice. This non-invasive method allows the conduction of longitudinal studies of obesity in mice and therefore enables experimenters to investigate the onset of complex diseases such as diabetes and obesity.
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影响因子：
8.2
作者：
Kluth, O.;Mirhashemi, F.;Scherneck, S.;Kaiser, D.;Kluge, R.;Neschen, S.;Joost, H. -G.;Schuermann, A.
通讯作者：
Schuermann, A.
影响因子：
6.5
作者：
Garbow, JR;Lin, X;Schonfeld, G
通讯作者：
Schonfeld, G
影响因子：
4.8
作者：
Judex, S.;Luu, Y. K.;Ozcivici, E.;Adler, B.;Lublinsky, S.;Rubin, C. T.
通讯作者：
Rubin, C. T.
肝脏容量测定即插即用：使用 ImageJ 自行操作。
影响因子：
2.6
作者：
Dello, Simon A. W. G.;van Dam, Ronald M.;Slangen, Jules J. G.;de Poll, Marcel C. G. van;Bemelmans, Marc H. A.;Greve, Jan Willem W. M.;Beets-Tan, Regina G. H.;Wigmore, Stephen J.;Dejong, Cornelis H. C.
通讯作者：
Dejong, Cornelis H. C.
影响因子：
2.2
作者：
Luu, Y. K.;Lublinsky, S.;Judex, S.
通讯作者：
Judex, S.