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Multivariate allometry and myocardium abnormalities during experimental systemic nitric oxide blockage

Alometria multivariada e anormalidades do miocárdio durante bloqueio sistêmico da síntese de óxido nítrico

Using allometry to evaluate numerical data from normal and experimental hypertensive rats' myocardium, thirteen normotensive Wistar male young rats were examined. Hearts were processed using histological routine methods. For myocardial quantification we utilized an M-42 Test-System. Fifteen fields were randomly considered. Parameters utilized: volumetric density (Vv %); volume (V µm³) and cardiac weight. The chi2 proposed by Anderson and the F proposed by Jolicoeur were utilized to test the isometric hypothesis in multivariate allometry. Results in the first analysis show eigenvalues at first principal component with proportions of 70.11%. Results concerning coefficients show V nuclei with a coefficient greater than the isometric point. In the second analysis, eigenvalues of first principal component show a proportion of 75.68%, using three variables. Results of the second analysis show Vv matrix with a coefficient greater than the isometric point. In the third analysis, eigenvalues of first principal component show a proportion of 70.18%, using three variables. Results of the third analysis show V nuclei with a coefficient greater than the isometric point. This suggests that the nuclei of the myocytes have the major variance between the variables utilized. Using chi2 and F tests we rejected isometric hypothesis. Then we can clearly identify the growth center advocated by Huxley as the myocyte nuclei. In conclusion, the data show that under this experimental hypertension, myocytes undergo intense nuclear changes probably involving great metabolic activities. In other words, these data also suggested that, to researchers interested in L-Name models on the 21st day of submission, it is important to emphasize cardiomyocyte nuclei and occurrences linked to them.

Hypertension; Myocyte; Morphometry; Multivariate analysis; Multivariate allometry; NO; L-Name


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