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Multiple regression analysis of parameters of lipid and glycide metabolism in obese and lean genetically hypertensive Koletsky rats under long lasting terguride treatment

V Golda, J Hilgertova

. 1996 ; 39 (4) : 141-147.

Jazyk angličtina Země Česko

Typ dokumentu práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc14045747

Grantová podpora
IZ3684 MZ0 CEP - Centrální evidence projektů

Experiments were carried out in the genetically hypertensive obese rats of Koletsky type (SHR/N-cp) and in their lean siblings. Regression analysis was performed when plasma triglycerides was used as a dependent variable and plasma insulin, insulin binding to erythrocytes, basal plasma glucose tolerance data were used as independent variables. Coefficient determination (R2) as well as the tests of hypotheses of regression coefficients being zero were used to indicate which independent variables contributed the least in the explanation of dependent variable. This way we reduced the list of variables to give a simpler regression equation. In the control animals insulinemia was found to be dominant independent variable in all groups except SHR/N-cp obese females where the dominant independent variable was represented by the basal plasma glycaemia. Under the terguride treatment only in SHR/N-cp female rats the dominant independent variable remained the same as in controls. In the other groups the dominant independent variable was different in relation to the control animals. Long lasting terguride treatment normalized hypertriglyceridemia only in SHR/N-cp obese females. Thus the data obtained by multiple regression analysis of parameters of lipide and glycide metabolism show the close relationship to alleviating effect of terguride in hypertriglyceridemia.

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$a Experiments were carried out in the genetically hypertensive obese rats of Koletsky type (SHR/N-cp) and in their lean siblings. Regression analysis was performed when plasma triglycerides was used as a dependent variable and plasma insulin, insulin binding to erythrocytes, basal plasma glucose tolerance data were used as independent variables. Coefficient determination (R2) as well as the tests of hypotheses of regression coefficients being zero were used to indicate which independent variables contributed the least in the explanation of dependent variable. This way we reduced the list of variables to give a simpler regression equation. In the control animals insulinemia was found to be dominant independent variable in all groups except SHR/N-cp obese females where the dominant independent variable was represented by the basal plasma glycaemia. Under the terguride treatment only in SHR/N-cp female rats the dominant independent variable remained the same as in controls. In the other groups the dominant independent variable was different in relation to the control animals. Long lasting terguride treatment normalized hypertriglyceridemia only in SHR/N-cp obese females. Thus the data obtained by multiple regression analysis of parameters of lipide and glycide metabolism show the close relationship to alleviating effect of terguride in hypertriglyceridemia.
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