Publication Date:
1995-04-21
Description:
Sulfonylureas are a class of drugs widely used to promote insulin secretion in the treatment of non-insulin-dependent diabetes mellitus. These drugs interact with the sulfonylurea receptor of pancreatic beta cells and inhibit the conductance of adenosine triphosphate (ATP)-dependent potassium (KATP) channels. Cloning of complementary DNAs for the high-affinity sulfonylurea receptor indicates that it is a member of the ATP-binding cassette or traffic ATPase superfamily with multiple membrane-spanning domains and two nucleotide binding folds. The results suggest that the sulfonylurea receptor may sense changes in ATP and ADP concentration, affect KATP channel activity, and thereby modulate insulin release.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Aguilar-Bryan, L -- Nichols, C G -- Wechsler, S W -- Clement, J P 4th -- Boyd, A E 3rd -- Gonzalez, G -- Herrera-Sosa, H -- Nguy, K -- Bryan, J -- Nelson, D A -- DK41898/DK/NIDDK NIH HHS/ -- DK44311/DK/NIDDK NIH HHS/ -- HL45742/HL/NHLBI NIH HHS/ -- etc. -- New York, N.Y. -- Science. 1995 Apr 21;268(5209):423-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/7716547" target="_blank"〉PubMed〈/a〉
Keywords:
*ATP-Binding Cassette Transporters
;
Adenosine Diphosphate/metabolism
;
Adenosine Triphosphate/metabolism
;
Amino Acid Sequence
;
Animals
;
Base Sequence
;
Cell Line
;
Cloning, Molecular
;
Cricetinae
;
Insulin/*secretion
;
Islets of Langerhans/*metabolism
;
Molecular Sequence Data
;
Phosphorylation
;
Potassium Channels/chemistry/*genetics/metabolism
;
*Potassium Channels, Inwardly Rectifying
;
Protein Folding
;
Protein Structure, Secondary
;
Receptors, Drug/chemistry/*genetics/metabolism
;
Sequence Alignment
;
Sulfonylurea Compounds/metabolism
;
Sulfonylurea Receptors
;
Transfection
;
Tumor Cells, Cultured
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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