Abstract
Analysis of variance, analysis of covariance, correlation coefficient, multiple correlation, and partial correlation coefficient statistical tests were applied to Cs, Cr, Co, Fe, Rb, Sc, Se, and Zn content in human ovaries in order to evaluate statistically the possible relationships between these trace elements at: the ovary as an organ, each ovarian phase separately, each morphological part independent of the ovarian phase, and between cortex and medulla within the ovarian phases. The element Cs seems to have a homogenous distribution between cortex and medulla within reproductive and menopausal phase. Zinc shows a trend to have an antagonistic relation with Cs, Cr, Co, and Fe during fetal and reproductive phases and not during menopausal phase. The relationship between Zn and Cs when Fe is kept constant could be used as a tool for the decontamination of the ovary from an abnormal Cs content or for the inhibition of the accumulation of the same element to the ovarian tissue.
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E. Bairaktari-Kouri, C., Papadopoulou, E. Agapitos, M. Vassilaki-Grimani, and N. Papacharalampous, Instrumental neutron activation analysis of chromium, cobalt, iron and zinc in human ovaries, inProceedings of the 7th International Conference “Modern Trends in Activation Analysis”, vol. 2, pp. 803–807 (1986).
W. Maenhaut and J. Cafmeyer, Particle induced x-ray emission analysis and multivariate techniques: An application to the study of the sources of respirable atmospheric particles in Gent-Belgium,J. Trace and Microprobe Tech. 5, 135–158 (1987).
V. Kilikoglou and A. P. Grimanis, Chemical characterization of bronze age pottery from Greek south Aegean islands by instrumental neutron activation analysis,J. Radioanalytical Nucl. Chem. Art. 168(2), 297–306 (1993).
E. Marengo, C. Baiocchi, M. C. Gennaro, D. L. Bertolo, S. Lanteri, and W. Garrone, Classification of essential mint oils of different geographic origin by applying pattern recognition methods to gas chromatographic data,Chemometrics and Intelligent Lab. Sys. 11, 75–88 (1991).
O. M. Kvalheim, K. Oygard, and O Grahl-Nielsen, Simca multivariate data analysis of blue mussel components in environmental pollution studies,Anal. Chimica Acta 150, 145–152 (1983).
I. E. Frank and B. R. Kowalski, Prediction of wine quality and geographic origin from chemical measurements by partial least-squares regression modelling,Anal. Chimica Acta 162, 241–251 (1984).
H. Duflou, W. Maenhaut, and J. De Reuck, Application of principal component and cluster analysis to the study of the distribution of minor and trace elements in normal human brain,Chemometrics and Intelligent Lab. Sys. 9, 273–286 (1990).
E. N. Drake and H. H. Sky-Peck, Discriminant analysis of trace element distribution in normal and malignant human tissues,Cancer Res. 49, 4210–4215 (1989).
E. Bairaktari-Kouri, A comparative study of the concentrations of the biologically significant trace elements in various phases of ovarian function. Associate Professor Thesis, Medical School, Athens University, 1983.
P. Russel and P. Bannatyne,Surgical Pathology of the Ovaries, Churchill Livingston, Edinburgh, London (1989).
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Kanias, G.D., Kouri, K. Biological evaluation of trace element data in human ovaries by statistical analysis. Biol Trace Elem Res 52, 65–116 (1996). https://doi.org/10.1007/BF02784090
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DOI: https://doi.org/10.1007/BF02784090