BACKGROUND: Polycystic ovary syndrome (PCOS) is associated with hyperandrogenism and insulin resistance. Glucose disposal occurs via noninsulin-mediated glucose uptake (NIMGU) and insulin-mediated glucose uptake (IMGU). It is unknown whether in PCOS NIMGU increases to compensate for declining IMGU and whether androgens and fat distribution influence this relationship. OBJECTIVES: The objective of the study was to compare in women with PCOS and controls the interrelationship between NIMGU [ie, glucose effectiveness (Sg)] and IMGU [ie, the insulin sensitivity index (Si)] and the role of androgens and fat distribution. PARTICIPANTS: Twenty-eight PCOS (by National Institutes of Health 1990 criteria) and 28 control (age, race, and body mass index matched) women were prospectively studied. A subset of 16 PCOS subjects and 16 matched controls also underwent abdominal computed tomography. MAIN OUTCOME MEASURES: Glucose disposal (by a frequently sampled iv glucose tolerance test), circulating androgens, and abdominal fat distribution [by waist to hip ratio and visceral (VAT) and sc (SAT) adipose tissue content] were measured. RESULTS: PCOS women had lower mean Si and similar Sg and abdominal fat distribution compared with controls. PCOS women with Si below the PCOS median (more insulin resistant) had a lower mean Sg than controls with Si above the control median (more insulin sensitive). In PCOS only, body mass index, free T, modified Ferriman-Gallwey score, and waist to hip ratio independently predicted Sg, whereas Si did not. In PCOS, VAT and SAT independently and negatively predicted Si and Sg, respectively. CONCLUSION: The decreased IMGU in PCOS is not accompanied by a compensatory increase in NIMGU or associated with excessive VAT accumulation. Increased general obesity, SAT, and hyperandrogenism are primary predictors of the deterioration of NIMGU in PCOS.
BACKGROUND:Polycystic ovary syndrome (PCOS) is associated with hyperandrogenism and insulin resistance. Glucose disposal occurs via noninsulin-mediated glucose uptake (NIMGU) and insulin-mediated glucose uptake (IMGU). It is unknown whether in PCOS NIMGU increases to compensate for declining IMGU and whether androgens and fat distribution influence this relationship. OBJECTIVES: The objective of the study was to compare in women with PCOS and controls the interrelationship between NIMGU [ie, glucose effectiveness (Sg)] and IMGU [ie, the insulin sensitivity index (Si)] and the role of androgens and fat distribution. PARTICIPANTS: Twenty-eight PCOS (by National Institutes of Health 1990 criteria) and 28 control (age, race, and body mass index matched) women were prospectively studied. A subset of 16 PCOS subjects and 16 matched controls also underwent abdominal computed tomography. MAIN OUTCOME MEASURES: Glucose disposal (by a frequently sampled iv glucose tolerance test), circulating androgens, and abdominal fat distribution [by waist to hip ratio and visceral (VAT) and sc (SAT) adipose tissue content] were measured. RESULTS:PCOSwomen had lower mean Si and similar Sg and abdominal fat distribution compared with controls. PCOSwomen with Si below the PCOS median (more insulin resistant) had a lower mean Sg than controls with Si above the control median (more insulin sensitive). In PCOS only, body mass index, free T, modified Ferriman-Gallwey score, and waist to hip ratio independently predicted Sg, whereas Si did not. In PCOS, VAT and SAT independently and negatively predicted Si and Sg, respectively. CONCLUSION: The decreased IMGU in PCOS is not accompanied by a compensatory increase in NIMGU or associated with excessive VAT accumulation. Increased general obesity, SAT, and hyperandrogenism are primary predictors of the deterioration of NIMGU in PCOS.
Authors: R Azziz; L A Sanchez; E S Knochenhauer; C Moran; J Lazenby; K C Stephens; K Taylor; L R Boots Journal: J Clin Endocrinol Metab Date: 2004-02 Impact factor: 5.958
Authors: Lisa Farah-Eways; Rosario Reyna; Eric S Knochenhauer; Alfred A Bartolucci; Ricardo Azziz Journal: Fertil Steril Date: 2004-01 Impact factor: 7.329
Authors: S E Kahn; R L Prigeon; D K McCulloch; E J Boyko; R N Bergman; M W Schwartz; J L Neifing; W K Ward; J C Beard; J P Palmer Journal: Diabetes Date: 1994-04 Impact factor: 9.461
Authors: Amy M Goss; Paula C Chandler-Laney; Fernando Ovalle; Laura Lee Goree; Ricardo Azziz; Renee A Desmond; G Wright Bates; Barbara A Gower Journal: Metabolism Date: 2014-07-18 Impact factor: 8.694
Authors: Francois-Pierre J Martin; Ivan Montoliu; Sebastiano Collino; Max Scherer; Philippe Guy; Isabelle Tavazzi; Anita Thorimbert; Sofia Moco; Megan P Rothney; David L Ergun; Maurice Beaumont; Fiona Ginty; Salah D Qanadli; Lucie Favre; Vittorio Giusti; Serge Rezzi Journal: PLoS One Date: 2013-09-11 Impact factor: 3.240