The relationship between insulin resistance and insulin secretion in Japanese subjects with borderline glucose intolerance. 1995

T Wasada, and H Arii, and H Kuroki, and A Saeki, and K Katsumori, and S Saito, and Y Omori
Diabetes Center, Tokyo Women's Medical College, Tokyo, Japan.

Insulin resistance and impaired insulin secretion can be involved in the development of non-insulin-dependent diabetes mellitus (NIDDM), but their relative importance or temporal relationship are poorly understood. To elucidate this issue, we studied 51 subjects with borderline glucose intolerance (BGI) and 18 normal glucose tolerant subjects (NGT) according to the Japan Diabetes Society criteria. The glucose infusion rate (GIR, mg/kg/min), an index of whole body insulin resistance (IR), was measured by the euglycemic (80 mg/dl) hyperinsulinemic clamp technique (insulin infusion rate 1.12 mU/kg/min). Insulinogenic index (delta IRI/delta BS at 30 min) and the insulin area under the curve during a 75-g oral glucose tolerance test (OGTT) were estimated. In the BGI subjects, the GIR values showed marked variation ranging from 2.24 to 10.44 mg/kg/min (5.54 +/- 0.31, mean +/- S.E.M.). The GIR values were lower in obese BGI subjects compared with non-obese BGI and NGT subjects, and the insulin area was markedly higher in BGI subjects with increased insulin resistance. There was a significant negative correlation between the GIR values and the insulin area or delta IRI/delta BS (30') ratio in the subjects with BGI either in the whole group or solely in the non-obese group. We conclude that the increased insulin secretion compensates for the peripheral insulin resistance of subjects with slightly deteriorated glucose tolerance, implying that insulin resistance plays an important role in the pathogenesis of NIDDM in some fraction of Japanese population.

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
D007333 Insulin Resistance Diminished effectiveness of INSULIN in lowering blood sugar levels: requiring the use of 200 units or more of insulin per day to prevent HYPERGLYCEMIA or KETOSIS. Insulin Sensitivity,Resistance, Insulin,Sensitivity, Insulin
D007564 Japan A country in eastern Asia, island chain between the North Pacific Ocean and the Sea of Japan, east of the Korean Peninsula. The capital is Tokyo. Bonin Islands
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
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).
D012016 Reference Values The range or frequency distribution of a measurement in a population (of organisms, organs or things) that has not been selected for the presence of disease or abnormality. Normal Range,Normal Values,Reference Ranges,Normal Ranges,Normal Value,Range, Normal,Range, Reference,Ranges, Normal,Ranges, Reference,Reference Range,Reference Value,Value, Normal,Value, Reference,Values, Normal,Values, Reference
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
D005260 Female Females

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