Literature DB >> 9740497

Implications of blood glucose, insulin resistance and beta-cell function in impaired glucose tolerance.

B Göke1.   

Abstract

Insulin secretion is stimulated by ingestion of food. The combination of hyperinsulinaemia plus hyperglycaemia effectively promotes glucose uptake by the liver and by peripheral tissues, such as muscle and fat cells, and suppresses hepatic glucose output. These simultaneous processes maintain normal glucose homeostasis in a co-ordinated fashion. Type 2 diabetes mellitus is associated with impaired insulin in target tissues due to insulin resistance and/or insulin deficiency. At first, increased insulin secretion overcomes insulin resistance, but ultimately this fails, leading progressively to increased blood glucose levels. Individuals pass through a phase of impaired glucose tolerance (IGT) and increased fasting plasma glucose levels (IFG) before developing overt type 2 diabetes. Therefore, IGT/IFG is a dysglycaemic state that is intermediate between normal glucose tolerance and diabetes. In this article, we discuss the relative importance of hyperglycaemia, insulin resistance and beta-cell function in the development of glucose intolerance, taking the new diagnostic criteria into consideration. New recommendations from the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus are discussed where appropriate.

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Year:  1998        PMID: 9740497     DOI: 10.1016/s0168-8227(98)00037-0

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  2 in total

1.  Additive genetic effect of GCKR, G6PC2, and SLC30A8 variants on fasting glucose levels and risk of type 2 diabetes.

Authors:  Guanjie Chen; Daniel Shriner; Jianhua Zhang; Jie Zhou; Poorni Adikaram; Ayo P Doumatey; Amy R Bentley; Adebowale Adeyemo; Charles N Rotimi
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

2.  Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.

Authors:  Megan D Fesinmeyer; James B Meigs; Kari E North; Fredrick R Schumacher; Petra Bůžková; Nora Franceschini; Jeffrey Haessler; Robert Goodloe; Kylee L Spencer; Venkata Saroja Voruganti; Barbara V Howard; Rebecca Jackson; Laurence N Kolonel; Simin Liu; JoAnn E Manson; Kristine R Monroe; Kenneth Mukamal; Holli H Dilks; Sarah A Pendergrass; Andrew Nato; Peggy Wan; Lynne R Wilkens; Loic Le Marchand; José Luis Ambite; Steven Buyske; Jose C Florez; Dana C Crawford; Lucia A Hindorff; Christopher A Haiman; Ulrike Peters; James S Pankow
Journal:  BMC Med Genet       Date:  2013-09-25       Impact factor: 2.103

  2 in total

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