Relationship between serum retinol-binding protein 4 and visfatin and the metabolic syndrome. 2009

Cheng-Chieh Lin, and Ming-May Lai, and Tsai-Chung Li, and Chia-Ing Li, and Chiu-Shong Liu, and Ching-Chu Chen, and Ming-Tsang Wu
Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan.

BACKGROUND This study investigates the relationship between serum concentration of RBP4 and visfatin and the metabolic syndrome. METHODS Patients with metabolic syndrome were studied between October, 2004 and September, 2005. All study subjects were aged 40 and over and lived in Taichung city, Taiwan. The Third Report of the National Cholesterol Education Program's Adult Treatment Panel (ATP III, 2001) was used to define the metabolic syndrome. Serum RBP4 and visfatin levels were measured by enzyme-linked immunosorbent assay. RESULTS Serum mean RBP4 levels in subjects who had all five abnormal components of metabolic syndrome (mean+/-SD=40.8+/-18.6) and those who had all components except hyperglycemia (43.5+/-23.5) were significantly higher than those in healthy controls (30.3+/-14.0 microg/ml) (p<0.05). Similar results were not found in serum visfatin levels. Using log-transformed serum RBP4 or visfatin levels as a dependent variable, we found that subjects with all five and four abnormal components of metabolic syndrome had significantly higher mean serum RBP4 levels (p=0.043 and 0.034, respectively), compared to healthy controls, after adjusting for other covariates. In contrast, similar results were not found in serum visfatin levels. CONCLUSIONS Metabolic syndrome is significantly associated with serum RBP4, but not serum visfatin.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001786 Blood Glucose Glucose in blood. Blood Sugar,Glucose, Blood,Sugar, Blood
D001794 Blood Pressure PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS. Systolic Pressure,Diastolic Pressure,Pulse Pressure,Pressure, Blood,Pressure, Diastolic,Pressure, Pulse,Pressure, Systolic,Pressures, Systolic
D004797 Enzyme-Linked Immunosorbent Assay An immunoassay utilizing an antibody labeled with an enzyme marker such as horseradish peroxidase. While either the enzyme or the antibody is bound to an immunosorbent substrate, they both retain their biologic activity; the change in enzyme activity as a result of the enzyme-antibody-antigen reaction is proportional to the concentration of the antigen and can be measured spectrophotometrically or with the naked eye. Many variations of the method have been developed. ELISA,Assay, Enzyme-Linked Immunosorbent,Assays, Enzyme-Linked Immunosorbent,Enzyme Linked Immunosorbent Assay,Enzyme-Linked Immunosorbent Assays,Immunosorbent Assay, Enzyme-Linked,Immunosorbent Assays, Enzyme-Linked
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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