Serum leptin and insulin concentrations in prepubertal lean, obese and insulin-dependent diabetes mellitus children. 1998

T Kamoda, and H Saitoh, and S Nakahara, and I Izumi, and T Hirano, and A Matsui
Department of Paediatrics, University of Tsukuba, Japan. tkamoda@md.tsukuba.ac.jp

OBJECTIVE To evaluate the relationship between serum levels of leptin and insulin in prepubertal lean, obese and insulin-dependent diabetes mellitus (IDDM) children. METHODS Prepubertal children, 16 lean, 17 obese and 16 IDDM were included in the study. Fastang serum leptin and insulin concentrations were measured by radioimmunoassays. RESULTS The serum level of leptin was significantly higher in obese children than in lean and IDDM children (P < 0.0001 and P < 0.0001, respectively), and showed a positive correlation with body mass index (BMI) for the combined group (lean, obese and IDDM; r = 0.77, P < 0.0001). In addition, the serum leptin level was higher in IDDM children than in lean controls (P < 0.01), whereas no difference was found in BMI between the two groups. The mean fasting serum levels of insulin were significantly elevated in IDDM children as compared with lean controls (P < 0.01). A significant positive correlation was found between serum insulin and leptin levels for the combined group (r = 0.37, P < 0.01). When a multiple regression analysis for all subjects was performed, the total contribution of all parameters, including gender, BMI and log insulin, accounted for 75% of the leptin variation. BMI (57.8%), log insulin (14.0%) and gender (3.2%) contributed significantly to this variation. CONCLUSIONS The elevated concentration of leptin in insulin-dependent diabetic children, independent of body mass index, was probably caused by chronically increased serum insulin levels. We demonstrated that not only body mass index but also insulin was a significant independent predictor of serum leptin concentrations. It is therefore suggested that insulin might play an important role in regulating serum leptin concentrations independent of adiposity.

UI MeSH Term Description Entries
D007328 Insulin A 51-amino acid pancreatic hormone that plays a major role in the regulation of glucose metabolism, directly by suppressing endogenous glucose production (GLYCOGENOLYSIS; GLUCONEOGENESIS) and indirectly by suppressing GLUCAGON secretion and LIPOLYSIS. Native insulin is a globular protein comprised of a zinc-coordinated hexamer. Each insulin monomer containing two chains, A (21 residues) and B (30 residues), linked by two disulfide bonds. Insulin is used as a drug to control insulin-dependent diabetes mellitus (DIABETES MELLITUS, TYPE 1). Iletin,Insulin A Chain,Insulin B Chain,Insulin, Regular,Novolin,Sodium Insulin,Soluble Insulin,Chain, Insulin B,Insulin, Sodium,Insulin, Soluble,Regular Insulin
D008297 Male Males
D009765 Obesity A status with BODY WEIGHT that is grossly above the recommended standards, usually due to accumulation of excess FATS in the body. The standards may vary with age, sex, genetic or cultural background. In the BODY MASS INDEX, a BMI greater than 30.0 kg/m2 is considered obese, and a BMI greater than 40.0 kg/m2 is considered morbidly obese (MORBID OBESITY).
D011506 Proteins Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein. Gene Products, Protein,Gene Proteins,Protein,Protein Gene Products,Proteins, Gene
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
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003922 Diabetes Mellitus, Type 1 A subtype of DIABETES MELLITUS that is characterized by INSULIN deficiency. It is manifested by the sudden onset of severe HYPERGLYCEMIA, rapid progression to DIABETIC KETOACIDOSIS, and DEATH unless treated with insulin. The disease may occur at any age, but is most common in childhood or adolescence. Diabetes Mellitus, Brittle,Diabetes Mellitus, Insulin-Dependent,Diabetes Mellitus, Juvenile-Onset,Diabetes Mellitus, Ketosis-Prone,Diabetes Mellitus, Sudden-Onset,Diabetes, Autoimmune,IDDM,Autoimmune Diabetes,Diabetes Mellitus, Insulin-Dependent, 1,Diabetes Mellitus, Type I,Insulin-Dependent Diabetes Mellitus 1,Juvenile-Onset Diabetes,Type 1 Diabetes,Type 1 Diabetes Mellitus,Brittle Diabetes Mellitus,Diabetes Mellitus, Insulin Dependent,Diabetes Mellitus, Juvenile Onset,Diabetes Mellitus, Ketosis Prone,Diabetes Mellitus, Sudden Onset,Diabetes, Juvenile-Onset,Diabetes, Type 1,Insulin Dependent Diabetes Mellitus 1,Insulin-Dependent Diabetes Mellitus,Juvenile Onset Diabetes,Juvenile-Onset Diabetes Mellitus,Ketosis-Prone Diabetes Mellitus,Sudden-Onset Diabetes Mellitus
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000704 Analysis of Variance A statistical technique that isolates and assesses the contributions of categorical independent variables to variation in the mean of a continuous dependent variable. ANOVA,Analysis, Variance,Variance Analysis,Analyses, Variance,Variance Analyses

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