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Genetic analysis of metabolic defects in the spontaneously hypertensive rat
Authors:Michal Pravenec  Václav Zídek  Alena Musilová  Miroslava Simáková  Vlastimil Kostka  Petr Mlejnek  Vladimír Kren  Drahomíra Krenova  Vlasta Bílá  Blanka Míková  Marie Jáchymová  Karel Horký  Ludmila Kazdová  Elizabeth St Lezin  Theodore W Kurtz
Institution:(1) Institute of Physiology, Czech Academy of Science, Vídenska 1083, 14220 Prague, Czech Republic, CS;(2) Institute of Biology and Medical Genetics, 1st Medical Faculty, Charles University, 12800 Prague, Czech Republic, CS;(3) General Faculty Hospital, 1st Medical Faculty, Charles University, 12000 Prague, Czech Republic, CS;(4) Institute of Clinical and Experimental Medicine, 14000 Prague, Czech Republic, CS;(5) Department of Laboratory Medicine, University of California and Department of Veterans Affairs Medical Center, San Francisco, California 94143, USA, US
Abstract:Abnormalities in carbohydrate and lipid metabolism are common in patients with essential hypertension and in the spontaneously hypertensive rat (SHR). To identify chromosome regions contributing to this clustering of cardiovascular risk factors in the SHR, we searched for quantitative trait loci (QTL) associated with insulin resistance, glucose intolerance, and dyslipidemia by using the HXB/BXH recombinant inbred (RI) strains. Analysis of variance in RI strains suggested significant effects of genetic factors. A genome screening of the RI strains with more than 700 markers revealed QTL significantly associated with insulin resistance on Chromosomes (Chrs) 3 and 19. The Chr 19 QTL was confirmed by testing a previously derived SHR-19 congenic strain: transfer of a Chr 19 segment delineated by markers D19Rat57 and D19Mit7 from the Brown Norway (BN/Cr) strain onto the genetic background of the SHR/Ola was associated with decreased insulin and glucose concentrations and ameliorated insulin resistance at the tissue level. These findings suggest that closely linked genes on Chr 19, or perhaps even a single gene with pleiotropic effects, influence the clustering of metabolic disturbances in the SHR-BN model.
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