BACKGROUND: The extent to which adipose tissue (AT) distribution is different between persons with type 2 diabetes (T2DM) and nondiabetic control subjects remains unclear. OBJECTIVE: The aim of this study was to establish whether total body adiposity and its distribution, quantified by using state-of-the-art whole-body magnetic resonance imaging, differs between these 2 groups. DESIGN: This cross-sectional evaluation included 93 participants (n = 56 women and 37 men) in the Look AHEAD (Action for HEAlth in Diabetes) Trial with T2DM who had a mean (+/-SD) age of 58.3 +/- 6.6 y and body mass index (in kg/m(2)) of 31.6 +/- 3.1 and 93 healthy non-T2DM control subjects (n = 64 women and 29 men) who had a mean (+/-SD) age of 60.6 +/- 17.1 y and body mass index of 29.6 +/- 3.0. All participants self-reported being of African American or white ancestry. Magnetic resonance imaging-derived in vivo measures of total-body AT (TAT) and its distribution, subcutaneous AT (SAT), visceral AT (VAT), and intermuscular AT (IMAT) were acquired. Linear regression models were developed for each AT compartment to adjust for important covariates of race, sex, age, height, and weight and to examine potential interactions of covariates. RESULTS: These models showed significantly less SAT (African American: -1.2 kg; white: -2.4 kg; both P = 0.001), including less femoral-gluteal SAT, more VAT (African American: 0.7 kg, P < 0.001; white: 1.8 kg, P = 0.007), and more IMAT (0.5 kg, P = 0.001) in the T2DM group. CONCLUSION: We concluded that AT distribution is significantly altered in T2DM, ie, more VAT and IMAT--2 depots known to exacerbate insulin resistance--and less SAT in persons with T2DM than in healthy control subjects, a novel finding that we posit may compound the risk of insulin resistance.
BACKGROUND: The extent to which adipose tissue (AT) distribution is different between persons with type 2 diabetes (T2DM) and nondiabetic control subjects remains unclear. OBJECTIVE: The aim of this study was to establish whether total body adiposity and its distribution, quantified by using state-of-the-art whole-body magnetic resonance imaging, differs between these 2 groups. DESIGN: This cross-sectional evaluation included 93 participants (n = 56 women and 37 men) in the Look AHEAD (Action for HEAlth in Diabetes) Trial with T2DM who had a mean (+/-SD) age of 58.3 +/- 6.6 y and body mass index (in kg/m(2)) of 31.6 +/- 3.1 and 93 healthy non-T2DM control subjects (n = 64 women and 29 men) who had a mean (+/-SD) age of 60.6 +/- 17.1 y and body mass index of 29.6 +/- 3.0. All participants self-reported being of African American or white ancestry. Magnetic resonance imaging-derived in vivo measures of total-body AT (TAT) and its distribution, subcutaneous AT (SAT), visceral AT (VAT), and intermuscular AT (IMAT) were acquired. Linear regression models were developed for each AT compartment to adjust for important covariates of race, sex, age, height, and weight and to examine potential interactions of covariates. RESULTS: These models showed significantly less SAT (African American: -1.2 kg; white: -2.4 kg; both P = 0.001), including less femoral-gluteal SAT, more VAT (African American: 0.7 kg, P < 0.001; white: 1.8 kg, P = 0.007), and more IMAT (0.5 kg, P = 0.001) in the T2DM group. CONCLUSION: We concluded that AT distribution is significantly altered in T2DM, ie, more VAT and IMAT--2 depots known to exacerbate insulin resistance--and less SAT in persons with T2DM than in healthy control subjects, a novel finding that we posit may compound the risk of insulin resistance.
Authors: Theodore P Ciaraldi; Alice P S Kong; Neelima V Chu; Dennis D Kim; Sunita Baxi; Mattias Loviscach; Ray Plodkowski; Richard Reitz; Michael Caulfield; Sunder Mudaliar; Robert R Henry Journal: Diabetes Date: 2002-01 Impact factor: 9.461
Authors: Kirsi A Virtanen; Peter Lönnroth; Riitta Parkkola; Pauliina Peltoniemi; Markku Asola; Tapio Viljanen; Tuula Tolvanen; Juhani Knuuti; Tapani Rönnemaa; Risto Huupponen; Pirjo Nuutila Journal: J Clin Endocrinol Metab Date: 2002-08 Impact factor: 5.958
Authors: Dana Prídavková; Matej Samoš; Ivana Kazimierová; Ľudovít Šutarík; Soňa Fraňová; Peter Galajda; Marián Mokáň Journal: Obes Facts Date: 2018-12-11 Impact factor: 3.942
Authors: Manoj Kumar Sarma; Andres Saucedo; Christine Hema Darwin; Ely Richard Felker; Kavya Umachandran; Daniel Kohanghadosh; Edward Xu; Steve Raman; Michael Albert Thomas Journal: Magn Reson Imaging Date: 2020-07-12 Impact factor: 2.546
Authors: Carlo A Rossi; Michela Pozzobon; Andrea Ditadi; Karolina Archacka; Annalisa Gastaldello; Marta Sanna; Chiara Franzin; Alberto Malerba; Gabriella Milan; Mara Cananzi; Stefano Schiaffino; Michelangelo Campanella; Roberto Vettor; Paolo De Coppi Journal: PLoS One Date: 2010-01-01 Impact factor: 3.240
Authors: Henry J Pownall; Anne V Schwartz; George A Bray; Robert I Berkowitz; Cora E Lewis; Edward J Boyko; John M Jakicic; Haiying Chen; Stanley Heshka; Edward W Gregg; Karen C Johnson Journal: Obesity (Silver Spring) Date: 2016-07-28 Impact factor: 5.002