CONTEXT: A central/visceral fat distribution and excess free fatty acid (FFA) availability are associated with dyslipidemia and insulin resistance. However, these two characteristics often coexist, making it difficult to detect the independent contributions of each. Whether FFA suppression is more closely linked to metabolic abnormalities is not clear. OBJECTIVE: The aim of the study was to examine the relationship between FFA suppression, body fat distribution, and fitness as contributors toward insulin resistance and hypertriglyceridemia. DESIGN: We measured systemic palmitate turnover using an iv infusion of [9,10-(3)H]palmitate; upper body sc adipose tissue (UBSQ) and visceral adipose tissue (VAT) with dual-energy x-ray absorptiometry and a single-slice abdominal computed tomography scan; fitness with a graded exercise treadmill test; and insulin sensitivity with both the iv glucose tolerance test (IVGTT) (SI(IVGTT)) and mixed meal tolerance test (SI(Meal)). SETTING: The study was conducted at a General Clinical Research Center. PARTICIPANTS: Baseline data were obtained from 140 elderly adults (age, 60-88 yr; 83 males) and 60 young adults (age, 18-31 yr; 31 males) who participated in a previously published trial assessing the effects of 2-yr supplementation of dehydroepiandrosterone or testosterone on body composition, glucose metabolism, and bone density. INTERVENTIONS: There were no interventions. MAIN OUTCOME MEASURES: We measured fasting plasma triglyceride (TG) concentrations, SI(IVGTT), and SI(Meal). RESULTS: Using multivariate regression analysis, the strongest combined predictors of TG concentrations were VAT, postmeal nadir FFA concentrations, sex, and age. The best predictors of SI(IVGTT) were IVGTT nadir palmitate concentration, VAT, UBSQ fat, fitness, and age, whereas the best predictors of SI(Meal) were meal nadir palmitate concentration, UBSQ fat, fitness, and sex. CONCLUSIONS: FFA suppression is associated with both fasting TG concentrations and insulin sensitivity, independent of measures of adiposity.
CONTEXT: A central/visceral fat distribution and excess free fatty acid (FFA) availability are associated with dyslipidemia and insulin resistance. However, these two characteristics often coexist, making it difficult to detect the independent contributions of each. Whether FFA suppression is more closely linked to metabolic abnormalities is not clear. OBJECTIVE: The aim of the study was to examine the relationship between FFA suppression, body fat distribution, and fitness as contributors toward insulin resistance and hypertriglyceridemia. DESIGN: We measured systemic palmitate turnover using an iv infusion of [9,10-(3)H]palmitate; upper body sc adipose tissue (UBSQ) and visceral adipose tissue (VAT) with dual-energy x-ray absorptiometry and a single-slice abdominal computed tomography scan; fitness with a graded exercise treadmill test; and insulin sensitivity with both the iv glucose tolerance test (IVGTT) (SI(IVGTT)) and mixed meal tolerance test (SI(Meal)). SETTING: The study was conducted at a General Clinical Research Center. PARTICIPANTS: Baseline data were obtained from 140 elderly adults (age, 60-88 yr; 83 males) and 60 young adults (age, 18-31 yr; 31 males) who participated in a previously published trial assessing the effects of 2-yr supplementation of dehydroepiandrosterone or testosterone on body composition, glucose metabolism, and bone density. INTERVENTIONS: There were no interventions. MAIN OUTCOME MEASURES: We measured fasting plasma triglyceride (TG) concentrations, SI(IVGTT), and SI(Meal). RESULTS: Using multivariate regression analysis, the strongest combined predictors of TG concentrations were VAT, postmeal nadir FFA concentrations, sex, and age. The best predictors of SI(IVGTT) were IVGTT nadir palmitate concentration, VAT, UBSQ fat, fitness, and age, whereas the best predictors of SI(Meal) were meal nadir palmitate concentration, UBSQ fat, fitness, and sex. CONCLUSIONS: FFA suppression is associated with both fasting TG concentrations and insulin sensitivity, independent of measures of adiposity.
Authors: K Sreekumaran Nair; Robert A Rizza; Peter O'Brien; Ketan Dhatariya; Kevin R Short; Ajay Nehra; Janet L Vittone; George G Klee; Ananda Basu; Rita Basu; Claudio Cobelli; Gianna Toffolo; Chiara Dalla Man; Donald J Tindall; L Joseph Melton; Glenn E Smith; Sundeep Khosla; Michael D Jensen Journal: N Engl J Med Date: 2006-10-19 Impact factor: 91.245
Authors: Rita Basu; Chiara Dalla Man; Marco Campioni; Ananda Basu; K Sree Nair; Michael D Jensen; Sundeep Khosla; George Klee; Gianna Toffolo; Claudio Cobelli; Robert A Rizza Journal: Diabetes Date: 2007-03 Impact factor: 9.461
Authors: Rita Basu; Elena Breda; Ann L Oberg; Claudia C Powell; Chiara Dalla Man; Ananda Basu; Janet L Vittone; George G Klee; Puneet Arora; Michael D Jensen; Gianna Toffolo; Claudio Cobelli; Robert A Rizza Journal: Diabetes Date: 2003-07 Impact factor: 9.461
Authors: Ricardo Mora-Rodriguez; Juan Fernando Ortega; Felix Morales-Palomo; Miguel Ramirez-Jimenez; Alfonso Moreno-Cabañas Journal: Br J Clin Pharmacol Date: 2020-02-18 Impact factor: 4.335
Authors: Sabine Kahl; Bettina Nowotny; Simon Piepel; Peter J Nowotny; Klaus Strassburger; Christian Herder; Giovanni Pacini; Michael Roden Journal: Diabetologia Date: 2014-07-22 Impact factor: 10.122
Authors: Ranganath Muniyappa; Radwa Noureldin; Ronald Ouwerkerk; Elizabeth Y Liu; Ritu Madan; Brent S Abel; Katherine Mullins; Mary F Walter; Monica C Skarulis; Ahmed M Gharib Journal: J Clin Endocrinol Metab Date: 2015-05-28 Impact factor: 5.958
Authors: Jon T Giles; Stamatina Danielides; Moyses Szklo; Wendy S Post; Roger S Blumenthal; Michelle Petri; Pamela J Schreiner; Matthew Budoff; Robert Detrano; Joan M Bathon Journal: Arthritis Rheumatol Date: 2015-03 Impact factor: 10.995
Authors: Ana E Espinosa De Ycaza; Robert A Rizza; K Sreekumaran Nair; Michael D Jensen Journal: J Clin Endocrinol Metab Date: 2016-02-17 Impact factor: 5.958