Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women
- PMID: 32970306
- DOI: 10.1007/s13105-020-00766-w
Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women
Abstract
Numerous classifications are used to discern metabolically healthy obese (MHO) from metabolically abnormal obese (MAO) individuals. The goal of this study was to compare a single phenotype approach, adiposopathy (i.e., the plasma adiponectin/leptin ratio), with four commonly used classifications (International Diabetes Federation (IDF), Karelis, Lynch, Wildman), all based on obesity with other risk factors), for their ability to discern phenotypic differences between MAO and MHO postmenopausal women. Anthropometry, body composition, blood pressure, cardiorespiratory fitness (CRF), lipid-lipoprotein, hepatic, inflammatory, and adipokine profiles, as well as glucose-insulin homeostasis, were assessed in 79 obese sedentary postmenopausal women (60 ± 5 years; body mass index, BMI, 34.0 ± 3.7 kg/m2). Abdominal subcutaneous adipose tissue (SCAT) expression of selected genes involved in fatty acid metabolism and inflammation was used as markers of tissue state (n = 48). Beyond their intrinsic criteria, adiposopathy was almost as effective as the Karelis definition in discerning differences in MHO for adiposity (reduced body weight, BMI, waist circumference, and fat mass), lipid-lipoprotein (lower triacylglycerol and higher HDL-cholesterol levels, reduced atherogenic ratios) and adipokine (higher adiponectin and lower leptin levels) profiles, and glucose-insulin homeostasis (lower insulin resistance) as well as for some SCAT gene expression related to lipolysis and lipogenesis, but was the only one able to distinguish these subjects for greater CRF. The other classifications revealed fewer differences between MAO and MHO women. These data suggest that considering a marker of AT dysfunction such as adiposopathy either alone or in addition to other criteria could be potentially interesting in discerning the MHO phenotype.
Keywords: Adiponectin; Adipose tissue; Cardiometabolic risk; Insulin sensitivity; Leptin; Menopause.
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References
-
- Aguilar-Salinas CA, Garcia EG, Robles L, Riano D, Ruiz-Gomez DG, Garcia-Ulloa AC, Melgarejo MA, Zamora M, Guillen-Pineda LE, Mehta R, Canizales-Quinteros S, Tusie Luna MT, Gomez-Perez FJ (2008) High adiponectin concentrations are associated with the metabolically healthy obese phenotype. J Clin Endocrinol Metab 93:4075–4079. https://doi.org/10.1210/jc.2007-2724 - DOI - PubMed
-
- Alberti KG, Zimmet P, Shaw J (2006) Metabolic syndrome--a new world-wide definition. A consensus statement from the international diabetes federation. Diabet Med 23:469–480. https://doi.org/10.1111/j.1464-5491.2006.01858.x - DOI - PubMed
-
- Badoud F, Perreault M, Zulyniak MA, Mutch DM (2015) Molecular insights into the role of white adipose tissue in metabolically unhealthy normal weight and metabolically healthy obese individuals. FASEB J 29:748–758. https://doi.org/10.1096/fj.14-263913 - DOI - PubMed
-
- Bastard JP, Cuevas J, Cohen S, Jardel C, Hainque B (1994) Percutaneous adipose tissue biopsy by mini-liposuction for metabolic studies. JPEN J Parenter Enteral Nutr 18:466–468. https://doi.org/10.1177/0148607194018005466 - DOI - PubMed
-
- Bastien M, Poirier P, Lemieux I, Despres JP (2014) Overview of epidemiology and contribution of obesity to cardiovascular disease. Prog Cardiovasc Dis 56:369–381. https://doi.org/10.1016/j.pcad.2013.10.016 - DOI - PubMed - PMC
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