Intra-abdominal Fat Burden Discriminated In Vivo Using Proton Magnetic Resonance Spectroscopy

Authors

  • Brent E. Walling,

    1. Molecular Pathology Unit, Center for Cancer Research, Bethesda, Maryland
    Search for more papers by this author
  • Jeeva Munasinghe,

    1. NIH Magnetic Resonance Imaging Research Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland.
    Search for more papers by this author
  • David Berrigan,

    1. Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
    Search for more papers by this author
  • Michael Q. Bailey,

    1. Molecular Pathology Unit, Center for Cancer Research, Bethesda, Maryland
    Search for more papers by this author
  • R. Mark Simpson

    Corresponding author
    1. Molecular Pathology Unit, Center for Cancer Research, Bethesda, Maryland
      Molecular Pathology Unit, Center for Cancer Research, National Cancer Institute, 37 Convent Drive, Building 37, Room 2000, Bethesda, MD 20892. E-mail: ms43b@nih.gov
    Search for more papers by this author

Molecular Pathology Unit, Center for Cancer Research, National Cancer Institute, 37 Convent Drive, Building 37, Room 2000, Bethesda, MD 20892. E-mail: ms43b@nih.gov

Abstract

Objective: To assess proton magnetic resonance spectroscopy (1H-MRS) as a means to distinguish among mice with disparate intra-abdominal body fat compositions, and to measure changes in intra-abdominal fat burden during weight loss and regain.

Research Methods and Procedures: Intra-abdominal fat burden was analyzed as a ratio of integrated areas under the curves of fat to water 1H-MRS signals collected from a region of interest standardized across B6.V-Lepob, C57BL/6, and A-ZIP/F mice that exhibited various genotypically related body fat compositions, ranging from obese (B6.V-Lepob) to minimal body fat (A-ZIP/F). 1H-MRS analysis of fat burden was compared with intra-abdominal fat volume and with a single cross-sectional intra-abdominal fat area calculated from segmented magnetic resonance images. Similar measurements were made from obese B6.V-Lepob mice before, during, and after they were induced to lose weight by leptin administration.

Results: Relative amounts of intra-abdominal fat analyzed by 1H-MRS differed significantly according to body composition and genotype of the three strains of mice (p < 0.05). Intra-abdominal fat assessed by 1H-MRS correlated with both intra-abdominal fat volume (r = 0.88, p < 0.001) and body weight (r = 0.82, p < 0.001) among, but not within, all three genotypes. During weight loss and regain, there was a significant overall pattern of changes in intra-abdominal fat quantity that occurred, which was reflected by 1H-MRS (p = 0.006).

Discussion: Results support the use of localized 1H-MRS for assessing differences in intra-abdominal fat. Refinements in 1H-MRS voxel region of interest size and location as well as instrument precision may result in improved correlations within certain body compositions.

Ancillary