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Insulinotropic action of amino acids at their physiological concentrations: I. Experiments in incubated islets

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In order to simulate physiological conditions, the influence of a mixture of 22 amino acids together with taurine, all tested at their normal concentration in plasma, upon insulin release, D-glucose metabolism and 45Ca net uptake was investigated in isolated rat pancreatic islets. The amino acid mixture had little effect upon insulin release at low concentrations of D-glucose but augmented, by up to 50%, the release of insulin provoked by higher concentrations of D-glucose. The effects of glibenclamide, forskolin, theophylline and cytochalasin B upon insulin release evoked by D-glucose in the absence or presence of the amino acid mixture and the changes in insulin output evoked by the omission from the amino mixture or addition to media containing only D-glucose of selected amino acid(s), as well as the influence of the amino acid mixture upon D-glucose metabolism and 45Ca net uptake, were considered as compatible with both the role of certain amino acids as nutrients and the accumulation of other amino acids as positively charged molecules in the islet cells.

Document Type: Research Article

Affiliations: Laboratory of Experimental Medicine, Brussels Free University, B-1070 Brussels, Belgium

Publication date: 01 January 2002

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  • The International Journal of Molecular Medicine is a monthly, peer-reviewed journal devoted to the publication of high quality studies related to the molecular mechanisms of human disease. The journal welcomes research on all aspects of molecular and clinical research, ranging from biochemistry to immunology, pathology, genetics, human genomics, microbiology, molecular pathogenesis, molecular cardiology, molecular surgery and molecular psychology.

    The International Journal of Molecular Medicine aims to provide an insight for researchers within the community in regard to developing molecular tools and identifying molecular targets for the diagnosis and treatment of a diverse number of human diseases.
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