Visceral adipose tissue but not subcutaneous adipose tissue is associated with urine and serum metabolites

Autor: Schlecht, I., Gronwald, Wolfram, Behrens, G., Baumeister, S. E., Hertel, J., Hochrein, J., Zacharias, Helena, Fischer, B., Oefner, Peter J., Leitzmann, M. F.
Rok vydání: 2017
Předmět:
B Vitamins
Male
Physiology
610 Medizin
lcsh:Medicine
Urine
Biochemistry
Body Mass Index
Glucose Metabolism
Metabolites
Medicine and Health Sciences
lcsh:Science
metabolism [Subcutaneous Fat]
ddc:610
blood [Biomarkers]
Organic Compounds
Vitamins
Middle Aged
Body Fluids
Chemistry
Physiological Parameters
Adipose Tissue
Physical Sciences
Metabolome
Carbohydrate Metabolism
Female
Anatomy
Research Article
metabolism [Intra-Abdominal Fat]
Adult
Subcutaneous Fat
Cholines
Intra-Abdominal Fat
urine [Obesity]
Metabolomics
Humans
Obesity
BODY-MASS INDEX
INSULIN-RESISTANCE
NMR-SPECTROSCOPY
SYSTEMS EPIDEMIOLOGY
HEALTHY-ADULTS
RISK-FACTORS
OBESITY
PROFILES
CHOLINE
MICE
Body Weight
Organic Chemistry
lcsh:R
Chemical Compounds
Biology and Life Sciences
blood [Obesity]
Metabolism
Biological Tissue
lcsh:Q
Biomarkers
urine [Biomarkers]
Zdroj: PLoS ONE, Vol 12, Iss 4, p e0175133 (2017)
PLoS ONE
PLOS ONE 12(4), e0175133 (2017). doi:10.1371/journal.pone.0175133
DOI: 10.5283/epub.36404
Popis: Obesity is a complex multifactorial phenotype that influences several metabolic pathways. Yet, few studies have examined the relations of different body fat compartments to urinary and serum metabolites. Anthropometric phenotypes (visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), the ratio between VAT and SAT (VSR), body mass index (BMI), waist circumference (WC)) and urinary and serum metabolite concentrations measured by nuclear magnetic resonance spectroscopy were measured in a population-based sample of 228 healthy adults. Multivariable linear and logistic regression models, corrected for multiple testing using the false discovery rate, were used to associate anthropometric phenotypes with metabolites. We adjusted for potential confounding variables: age, sex, smoking, physical activity, menopausal status, estimated glomerular filtration rate (eGFR), urinary glucose, and fasting status. In a fully adjusted logistic regression model dichotomized for the absence or presence of quantifiable metabolite amounts, VAT, BMI and WC were inversely related to urinary choline (beta = -0.18, p = 2.73*10(-3)), glycolic acid (beta = -0.20, 0.02), and guanidinoacetic acid (beta = -0.12, p = 0.04), and positively related to ethanolamine (beta = 0.18, p = 0.02) and dimethylamine (beta = 0.32, p = 0.02). BMI and WC were additionally inversely related to urinary glutamine and lactic acid. Moreover, WC was inversely associated with the detection of serine. VAT, but none of the other anthropometric parameters, was related to serum essential amino acids, such as valine, isoleucine, and phenylalanine among men. Compared to other adiposity measures, VAT demonstrated the strongest and most significant relations to urinary and serum metabolites. The distinct relations of VAT, SAT, VSR, BMI, and WC to metabolites emphasize the importance of accurately differentiating between body fat compartments when evaluating the potential role of metabolic regulation in the development of obesity-related diseases, such as insulin resistance, type 2 diabetes, and cardiovascular disease.
Databáze: OpenAIRE
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