» Articles » PMID: 24039943

Topographical Body Fat Distribution Links to Amino Acid and Lipid Metabolism in Healthy Obese Women [corrected]

Abstract

Visceral adiposity is increasingly recognized as a key condition for the development of obesity related disorders, with the ratio between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reported as the best correlate of cardiometabolic risk. In this study, using a cohort of 40 obese females (age: 25-45 y, BMI: 28-40 kg/m(2)) under healthy clinical conditions and monitored over a 2 weeks period we examined the relationships between different body composition parameters, estimates of visceral adiposity and blood/urine metabolic profiles. Metabonomics and lipidomics analysis of blood plasma and urine were employed in combination with in vivo quantitation of body composition and abdominal fat distribution using iDXA and computerized tomography. Of the various visceral fat estimates, VAT/SAT and VAT/total abdominal fat ratios exhibited significant associations with regio-specific body lean and fat composition. The integration of these visceral fat estimates with metabolic profiles of blood and urine described a distinct amino acid, diacyl and ether phospholipid phenotype in women with higher visceral fat. Metabolites important in predicting visceral fat adiposity as assessed by Random forest analysis highlighted 7 most robust markers, including tyrosine, glutamine, PC-O 44∶6, PC-O 44∶4, PC-O 42∶4, PC-O 40∶4, and PC-O 40∶3 lipid species. Unexpectedly, the visceral fat associated inflammatory profiles were shown to be highly influenced by inter-days and between-subject variations. Nevertheless, the visceral fat associated amino acid and lipid signature is proposed to be further validated for future patient stratification and cardiometabolic health diagnostics.

Citing Articles

Associations of childhood BMI, general and visceral fat mass with metabolite profiles at school-age.

Schipper M, Blaauwendraad S, Koletzko B, Oei E, Jaddoe V, Gaillard R Int J Obes (Lond). 2024; 48(9):1307-1317.

PMID: 38851839 DOI: 10.1038/s41366-024-01558-8.


Targeted Metabolomics Analysis of Individuals Carrying the ANGPTL8 R59W Variant.

Abu-Farha M, Joseph S, Mohammad A, Channanath A, Taher I, Al-Mulla F Metabolites. 2023; 13(9).

PMID: 37755252 PMC: 10536441. DOI: 10.3390/metabo13090972.


The metabolomic profiling of total fat and fat distribution in a multi-cohort study of women and men.

Zheng R, Michaelsson K, Fall T, Elmstahl S, Lind L Sci Rep. 2023; 13(1):11129.

PMID: 37429905 PMC: 10333321. DOI: 10.1038/s41598-023-38318-z.


Evaluation of the Value of Waist Circumference and Metabolomics in the Estimation of Visceral Adipose Tissue.

Boone S, van Smeden M, Rosendaal F, le Cessie S, Groenwold R, Jukema J Am J Epidemiol. 2022; 191(5):886-899.

PMID: 35015809 PMC: 9071575. DOI: 10.1093/aje/kwab298.


Dietary intake of branched-chain amino acids in relation to general and abdominal obesity.

Asoudeh F, Salari-Moghaddam A, Keshteli A, Esmaillzadeh A, Adibi P Eat Weight Disord. 2021; 27(4):1303-1311.

PMID: 34268715 DOI: 10.1007/s40519-021-01266-6.


References
1.
Fiehn O, Garvey W, Newman J, Lok K, Hoppel C, Adams S . Plasma metabolomic profiles reflective of glucose homeostasis in non-diabetic and type 2 diabetic obese African-American women. PLoS One. 2010; 5(12):e15234. PMC: 3000813. DOI: 10.1371/journal.pone.0015234. View

2.
Fox C, Liu Y, White C, Feitosa M, Smith A, Heard-Costa N . Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women. PLoS Genet. 2012; 8(5):e1002695. PMC: 3349734. DOI: 10.1371/journal.pgen.1002695. View

3.
Kaess B, Pedley A, Massaro J, Murabito J, Hoffmann U, Fox C . The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk. Diabetologia. 2012; 55(10):2622-2630. PMC: 3636065. DOI: 10.1007/s00125-012-2639-5. View

4.
Lee M, Wu Y, Fried S . Adipose tissue heterogeneity: implication of depot differences in adipose tissue for obesity complications. Mol Aspects Med. 2012; 34(1):1-11. PMC: 3549425. DOI: 10.1016/j.mam.2012.10.001. View

5.
Baur P, Martin F, Gruber L, Bosco N, Brahmbhatt V, Collino S . Metabolic phenotyping of the Crohn's disease-like IBD etiopathology in the TNF(ΔARE/WT) mouse model. J Proteome Res. 2011; 10(12):5523-35. DOI: 10.1021/pr2007973. View