INTRODUCTION: Data regarding the effect of certain adipokines on lipid metabolism are equivocal. OBJECTIVES: The aim of this study was to evaluate the association of lipid control with adipokines and inflammatory markers in patients with type 2 diabetes. PATIENTS AND METHODS: The analysis included 195 patients with type 2 diabetes. The achievement of treatment targets in terms of total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides was assessed in accordance with the current guidelines. Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) index as well as concentrations of highmolecular-weight (HMW) adiponectin, leptin, resistin, high-sensitivity C-reactive protein, interleukin 6, and tumor necrosis factor α (TNF-α) were measured in all patients. Logistic regression analyses were performed to determine the risk factors for inadequate lipid control. RESULTS: Optimal control in terms of total cholesterol, LDL, HDL, and triglycerides was achieved in 61%, 43%, 53%, and 68% of the patients, respectively. In multivariate analyses, female sex, lower resistin concentrations, and the absence of statin treatment were predictors of total cholesterol levels above the treatment target; older age and lower statin dose--of LDL cholesterol levels above the treatment targets; female sex, higher HOMA-IR index, lower HMW adiponectin concentrations, and higher TNF-α concentration-o-f HDL levels below the treatment targets; and higher HOMA-IR, lower HMW adiponectin concentration, and the absence of statin treatment--of triglycerides above the treatment target. CONCLUSIONS: In type 2 diabetes, lower HMW adiponectin concentrations are associated with inadequate triglyceride and HDL control; higher TNF-α, with inadequate HDL control, and lower resistin concentrations, with inadequate total cholesterol control.
INTRODUCTION: Data regarding the effect of certain adipokines on lipid metabolism are equivocal. OBJECTIVES: The aim of this study was to evaluate the association of lipid control with adipokines and inflammatory markers in patients with type 2 diabetes. PATIENTS AND METHODS: The analysis included 195 patients with type 2 diabetes. The achievement of treatment targets in terms of total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides was assessed in accordance with the current guidelines. Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) index as well as concentrations of highmolecular-weight (HMW) adiponectin, leptin, resistin, high-sensitivity C-reactive protein, interleukin 6, and tumor necrosis factor α (TNF-α) were measured in all patients. Logistic regression analyses were performed to determine the risk factors for inadequate lipid control. RESULTS: Optimal control in terms of total cholesterol, LDL, HDL, and triglycerides was achieved in 61%, 43%, 53%, and 68% of the patients, respectively. In multivariate analyses, female sex, lower resistin concentrations, and the absence of statin treatment were predictors of total cholesterol levels above the treatment target; older age and lower statin dose--of LDL cholesterol levels above the treatment targets; female sex, higher HOMA-IR index, lower HMW adiponectin concentrations, and higher TNF-α concentration-o-f HDL levels below the treatment targets; and higher HOMA-IR, lower HMW adiponectin concentration, and the absence of statin treatment--of triglycerides above the treatment target. CONCLUSIONS: In type 2 diabetes, lower HMW adiponectin concentrations are associated with inadequate triglyceride and HDL control; higher TNF-α, with inadequate HDL control, and lower resistin concentrations, with inadequate total cholesterol control.
Authors: Clarisse Noël A Ayina; Jean Jacques N Noubiap; Laurent Serge Etoundi Ngoa; Philippe Boudou; Jean François Gautier; Michel Karngong Mengnjo; Jean Claude Mbanya; Eugene Sobngwi Journal: Lipids Health Dis Date: 2016-05-17 Impact factor: 3.876
Authors: Aleksandra Paduszyńska; Agata Sakowicz; Maciej Banach; Marek Maciejewski; Marek Dąbrowa; Agata Bielecka-Dąbrowa Journal: Ir J Med Sci Date: 2020-03-20 Impact factor: 1.568