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The purpose of this study is to determine whether the insulin sensitizing effects of rosiglitazone were accompanied by changes in 11ß-HSD1 expression and activity in different tissues.
The PPARgamma agonist rosiglitazone (R) increases insulin sensitivity, which is comparable to the effects of a reduction in 11ß-hydroxysteroid dehydrogenase type 1 (11β-HSD1) activity in animal models. We therefore aimed to investigate whether rosiglitazone-induced insulin sensitivity is associated with changes in 11β-HSD1 activity in different tissues in subjects suffering from impaired glucose tolerance.
Allocation: Non-Randomized, Control: Uncontrolled, Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Treatment
Charite, Campus Benjamin Franklin
Charite University, Berlin, Germany
Published on BioPortfolio: 2014-07-23T21:35:26-0400
The metabolic syndrome is a collection of health risks that includes obesity, high blood pressure, high triglycerides, high blood sugar, low good cholesterol, and resistance to insulin. T...
Pioglitazone and rosiglitazone are used in the treatment of diabetic patients. Thiazolidinediones increase insulin sensitivity and show favorable effect blood glucose levels and lipid prof...
An abdominal distribution of fat is associated with the greatest heart disease risk, because commonly, several risk factors of metabolic origin cluster in these individuals. When this occu...
The purpose of the study is to determine whether treatment of children and adolescents with Impaired Glucose Tolerance (IGT) with rosiglitazone will lead to improvements in insulin sensiti...
This protocol is designed to evaluate the metabolic effects of adding exenatide, rosiglitazone, or both to an existing regimen of metformin in subjects with inadequate glycemic control.
In HIV-infected patients on combination antiretroviral therapy (cART), lipodystrophy shares many similarities with metabolic syndrome, but only metabolic syndrome has objective classification criteria...
The risk of metabolic syndrome can be influenced by inadequate vitamin D levels, and exposure to sunlight is the main external source of vitamin D. The present study assessed the influence of environm...
The metabolic syndrome is composed of several cardiovascular risk factors and has a high prevalence throughout the world. However, there are no systematic analyses or well-conducted meta-analyses to e...
The objective of this study was to evaluate the relationship between educational level as a surrogate marker of socioeconomic status and the risk of developing metabolic syndrome (MetS).
Metabolic syndrome (MetS), which confers a high risk for cardiovascular diseases, needs early diagnosis and treatment to reduce morbidity and mortality. Lipid accumulation product index has been repor...
A cluster of metabolic risk factors for CARDIOVASCULAR DISEASES and TYPE 2 DIABETES MELLITUS. The major components of metabolic syndrome X include excess ABDOMINAL FAT; atherogenic DYSLIPIDEMIA; HYPERTENSION; HYPERGLYCEMIA; INSULIN RESISTANCE; a proinflammatory state; and a prothrombotic (THROMBOSIS) state. (from AHA/NHLBI/ADA Conference Proceedings, Circulation 2004; 109:551-556)
ANGINA PECTORIS or angina-like chest pain with a normal coronary arteriogram and positive EXERCISE TEST. The cause of the syndrome is unknown. While its recognition is of clinical importance, its prognosis is excellent. (Braunwald, Heart Disease, 4th ed, p1346; Jablonski Dictionary of Syndromes & Eponymic Diseases, 2d ed). It is different from METABOLIC SYNDROME X, a syndrome characterized by INSULIN RESISTANCE and HYPERINSULINEMIA, that has increased risk for cardiovascular disease.
A condition of metabolic imbalance that is caused by complications of initially feeding a severely malnourished patient too aggressively. Usually occurring within the first 5 days of refeeding, this syndrome is characterized by WATER-ELECTROLYTE IMBALANCE; GLUCOSE INTOLERANCE; CARDIAC ARRHYTHMIAS; and DIARRHEA.
Acquired or inborn metabolic diseases that produce brain dysfunction or damage. These include primary (i.e., disorders intrinsic to the brain) and secondary (i.e., extracranial) metabolic conditions that adversely affect cerebral function.
Measurement of cells' substrate utilization and biosynthetic output for modeling of METABOLIC NETWORKS.