A comparison of associations of body mass index and dual‐energy x‐ray absorptiometry measured percentage fat and total fat with global serum metabolites in young women

Author:

Dorgan Joanne F.1ORCID,Ryan Alice S.2ORCID,LeBlanc Erin S.3ORCID,Van Horn Linda4,Magder Laurence S.1,Snetselaar Linda G.5,Zhang Yuji1,Dallal Cher M.6,Jung Seungyoun78,Shepherd John A.9ORCID

Affiliation:

1. Department of Epidemiology and Public Health University of Maryland School of Medicine Baltimore Maryland USA

2. Department of Medicine University of Maryland School of Medicine Baltimore Maryland USA

3. Kaiser Permanente Center for Health Research Portland Oregon USA

4. Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA

5. Department of Epidemiology University of Iowa College of Public Health Iowa City Iowa USA

6. Department of Epidemiology and Biostatistics University of Maryland School of Public Health College Park Maryland USA

7. Department of Nutritional Science & Food Management Ewha Womans University Seoul South Korea

8. Graduate Program in System Health Science & Engineering Ewha Womans University Seoul South Korea

9. Department of Nutritional Sciences University of Hawaii at Manoa Honolulu Hawaii USA

Abstract

AbstractObjectiveBody mass index (BMI) does not directly measure adiposity, whereas dual‐energy x‐ray absorptiometry (DXA) provides valid direct estimates of adiposity. Therefore, this study evaluated usefulness of BMI as a measure of adiposity in serum metabolomics studies.MethodsA cross‐sectional analysis was conducted of 202 women aged 25 to 29 years in the Dietary Intervention Study in Children Follow‐Up Study. Heights and weights were measured, and body composition was quantified using clinical DXA protocols. Serum metabolomic profiling was performed by liquid chromatography–tandem mass spectrometry. Partial correlations of BMI, percentage fat (%FAT), and total fat (TOTFAT) with log transformed serum metabolites were calculated.ResultsThere was significant overlap in the 93 metabolites that correlated with BMI, %FAT, and/or TOTFAT; 9 differently correlated with BMI and %FAT, whereas 15 differently correlated with BMI and TOTFAT. Even for these metabolites, absolute differences were modest. Metabolite set enrichment analysis identified diacylglycerol and sphingolipid metabolism as overrepresented among metabolites significantly correlated with all three measures of adiposity.ConclusionsBMI can be a good proxy for DXA measured %FAT and TOTFAT in descriptive metabolomic studies of healthy, young White women. Larger studies in more diverse populations are needed to endorse more generalized conclusions.

Funder

National Institutes of Health

U.S. Department of Veterans Affairs

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

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