PURPOSE: To develop and validate a quantitative magnetic resonance imaging (MRI) methodology for phenotyping animal models of obesity and fatty liver disease on 7T small animal MRI scanners. MATERIALS AND METHODS: A new MRI acquisition and image analysis technique, relaxation-compensated fat fraction (RCFF), was developed and validated by both magnetic resonance spectroscopy and histology. This new RCFF technique was then used to assess lipid biodistribution in two groups of mice on either a high-fat (HFD) or low-fat (LFD) diet. RESULTS: RCFF demonstrated excellent correlation in phantom studies (R(2) = 0.99) and in vivo compared to histological evaluation of hepatic triglycerides (R(2) = 0.90). RCFF images provided robust fat fraction maps with consistent adipose tissue values (82% ± 3%). HFD mice exhibited significant increases in peritoneal and subcutaneous adipose tissue volumes in comparison to LFD controls (peritoneal: 6.4 ± 0.4 cm(3) vs. 0.7 ± 0.2, P < 0.001; subcutaneous: 14.7 ± 2.0 cm(3) vs. 1.2 ± 0.3 cm(3) , P < 0.001). Hepatic fat fractions were also significantly different between HFD and LFD mice (3.1% ± 1.7% LFD vs. 27.2% ± 5.4% HFD, P = 0.002). CONCLUSION: RCFF can be used to quantitatively assess adipose tissue volumes and hepatic fat fractions in rodent models at 7T.
PURPOSE: To develop and validate a quantitative magnetic resonance imaging (MRI) methodology for phenotyping animal models of obesity and fatty liver disease on 7T small animal MRI scanners. MATERIALS AND METHODS: A new MRI acquisition and image analysis technique, relaxation-compensated fat fraction (RCFF), was developed and validated by both magnetic resonance spectroscopy and histology. This new RCFF technique was then used to assess lipid biodistribution in two groups of mice on either a high-fat (HFD) or low-fat (LFD) diet. RESULTS: RCFF demonstrated excellent correlation in phantom studies (R(2) = 0.99) and in vivo compared to histological evaluation of hepatic triglycerides (R(2) = 0.90). RCFF images provided robust fat fraction maps with consistent adipose tissue values (82% ± 3%). HFD mice exhibited significant increases in peritoneal and subcutaneous adipose tissue volumes in comparison to LFD controls (peritoneal: 6.4 ± 0.4 cm(3) vs. 0.7 ± 0.2, P < 0.001; subcutaneous: 14.7 ± 2.0 cm(3) vs. 1.2 ± 0.3 cm(3) , P < 0.001). Hepatic fat fractions were also significantly different between HFD and LFD mice (3.1% ± 1.7% LFD vs. 27.2% ± 5.4% HFD, P = 0.002). CONCLUSION: RCFF can be used to quantitatively assess adipose tissue volumes and hepatic fat fractions in rodent models at 7T.
Authors: Scott B Reeder; Zhifei Wen; Huanzhou Yu; Angel R Pineda; Garry E Gold; Michael Markl; Norbert J Pelc Journal: Magn Reson Med Date: 2004-01 Impact factor: 4.668
Authors: Scott B Reeder; Angel R Pineda; Zhifei Wen; Ann Shimakawa; Huanzhou Yu; Jean H Brittain; Garry E Gold; Christopher H Beaulieu; Norbert J Pelc Journal: Magn Reson Med Date: 2005-09 Impact factor: 4.668
Authors: Xiaowei Zhang; Mark Tengowski; Lisa Fasulo; Suzanne Botts; Steve A Suddarth; G Allan Johnson Journal: Magn Reson Med Date: 2004-04 Impact factor: 4.668
Authors: Ilya R Bederman; Gavriella Pora; Maureen O'Reilly; James Poleman; Kimberly Spoonhower; Michelle Puchowicz; Aura Perez; Bernadette O Erokwu; Alex Rodriguez-Palacios; Chris A Flask; Mitchell L Drumm Journal: Am J Physiol Gastrointest Liver Physiol Date: 2018-08-17 Impact factor: 4.052
Authors: Sharon M Rymut; Deborah A Corey; Dana M Valerio; Bernadette O Erokwu; Chris A Flask; Thomas J Kelley; Craig A Hodges Journal: Sci Rep Date: 2017-06-16 Impact factor: 4.379
Authors: P Lu; C P Sodhi; Y Yamaguchi; H Jia; T Prindle; W B Fulton; A Vikram; K J Bibby; M J Morowitz; D J Hackam Journal: Mucosal Immunol Date: 2018-01-24 Impact factor: 7.313