OBJECTIVE: Hirsutism is most often caused by polycystic ovary syndrome (PCOS). PCOS patients are characterized by insulin resistance, abdominal obesity and low-grade inflammation. Insulin sensitizing treatment reduces the inflammatory state, but the effect on serum levels of migration inhibitor factor (MIF), monocyte chemoattractant protein (MCP)-1 and macrophage inflammatory protein (MIP)-1alpha have not been evaluated before in PCOS. RESEARCH DESIGN AND METHODS: Plasma chemokine levels (MCP-1, MIP-1alpha and MIF) were measured in two study designs. (i) 51 hirsute patients and 63 matched controls and (ii) 30 PCOS patients before and after randomized treatment with 30 mg pioglitazone/placebo for 16 weeks. Clinical evaluations and whole body DXA-scans were performed in all participants. RESULTS:Hirsute patients (n = 51) had significantly increased MCP-1 [121 (15-950) vs. 81 (18-365) pg/ml; P < 0.05] and MIP-1alpha[179 (8-4202) vs. 103 (4-1598) pg/ml; P < 0.05] than controls of matched body composition [geometric mean (-2SD to +2SD)]. In PCOS (n = 30), MCP-1, MIP-1alpha and MIF correlated positively with central fat mass. A BMI independent positive association was found between MIF and free testosterone (r = 0.49, P = 0.01) in PCOS. Pioglitazone treatment significantly improved insulin sensitivity without affecting testosterone, body composition, MCP-1, MIP-1alpha and MIF levels. CONCLUSIONS:Chemokine levels were significantly increased and showed close associations with measures of adiposity in PCOS patients, but were unchanged during insulin sensitizing treatment with pioglitazone. Our data suggests a fat mass independent association between testosterone and MIF levels in PCOS and the effect of anti-androgen treatment on chemokine levels needs to be examined.
RCT Entities:
OBJECTIVE: Hirsutism is most often caused by polycystic ovary syndrome (PCOS). PCOSpatients are characterized by insulin resistance, abdominal obesity and low-grade inflammation. Insulin sensitizing treatment reduces the inflammatory state, but the effect on serum levels of migration inhibitor factor (MIF), monocyte chemoattractant protein (MCP)-1 and macrophage inflammatory protein (MIP)-1alpha have not been evaluated before in PCOS. RESEARCH DESIGN AND METHODS: Plasma chemokine levels (MCP-1, MIP-1alpha and MIF) were measured in two study designs. (i) 51 hirsute patients and 63 matched controls and (ii) 30 PCOSpatients before and after randomized treatment with 30 mg pioglitazone/placebo for 16 weeks. Clinical evaluations and whole body DXA-scans were performed in all participants. RESULTS: Hirsute patients (n = 51) had significantly increased MCP-1 [121 (15-950) vs. 81 (18-365) pg/ml; P < 0.05] and MIP-1alpha[179 (8-4202) vs. 103 (4-1598) pg/ml; P < 0.05] than controls of matched body composition [geometric mean (-2SD to +2SD)]. In PCOS (n = 30), MCP-1, MIP-1alpha and MIF correlated positively with central fat mass. A BMI independent positive association was found between MIF and free testosterone (r = 0.49, P = 0.01) in PCOS. Pioglitazone treatment significantly improved insulin sensitivity without affecting testosterone, body composition, MCP-1, MIP-1alpha and MIF levels. CONCLUSIONS: Chemokine levels were significantly increased and showed close associations with measures of adiposity in PCOSpatients, but were unchanged during insulin sensitizing treatment with pioglitazone. Our data suggests a fat mass independent association between testosterone and MIF levels in PCOS and the effect of anti-androgen treatment on chemokine levels needs to be examined.
Authors: Selma F Witchel; Sergio E Recabarren; Frank González; Evanthia Diamanti-Kandarakis; Kai I Cheang; Antoni J Duleba; Richard S Legro; Roy Homburg; Renato Pasquali; Rogerio A Lobo; Christos C Zouboulis; Fahrettin Kelestimur; Franca Fruzzetti; Walter Futterweit; Robert J Norman; David H Abbott Journal: Endocrine Date: 2012-06-04 Impact factor: 3.633
Authors: Chelsea W Fox; Lingzhi Zhang; Abhishek Sohni; Manuel Doblado; Miles F Wilkinson; R Jeffrey Chang; Antoni J Duleba Journal: Endocrinology Date: 2019-12-01 Impact factor: 4.736