Biological evaluation of trace element data in human ovaries by statistical analysis

• Published in: Biological trace element research Vol. 52; no. 1; p. 65
• Main Authors: Kanias, G D, Kouri, E
• Format: Journal Article
• Language: English
• Published: United States 01.04.1996
• Subjects: Adult; Aged; Analysis of Variance; Cesium - analysis; Cesium - metabolism; Chromium - analysis; Chromium - metabolism; Cobalt - analysis; Cobalt - metabolism; Female; Humans; Iron - analysis; Iron - metabolism; Menopause - metabolism; Menstrual Cycle - metabolism; Middle Aged; Ovary - chemistry; Ovary - embryology; Ovary - metabolism; Reference Values; Reproducibility of Results; Rubidium - analysis; Rubidium - metabolism; Scandium - analysis; Scandium - metabolism; Selenium - analysis; Selenium - metabolism; Software; Trace Elements - analysis; Trace Elements - metabolism; Zinc - analysis; Zinc - metabolism
• ISSN: 0163-4984
• DOI: 10.1007/BF02784090

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 homogeneous 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.