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Selenium status indices,laboratory data,and selected biochemical parameters in end-stage renal disease patients
Authors:Paweł Zagrodzki  Henryk Bartoń  Stanisław Walas  Maria Fołta  Tomasz Stompór  Eve Janusz-Grzybowska  Maciej Drożdż  Władysław Sułowicz
Institution:(1) Department of Food Chemistry and Nutrition, Jagiellonian University, Krakow, Poland;(2) Department of Nephrology, Medical College, Jagiellonian University, Krakow, Poland;(3) Department of Analytical Chemistry, Faculty of Chemistry, Jagiellonian University, Krakow, Poland;(4) H. Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland
Abstract:We investigated the relations between selenium status (SeS) parameters, indexes of nutrition, erythropoiesis, and uremic toxemia, serum electrolytes, and other biochemical markers in end-stage renal disease (ESRD) patients, as no multivariate statistical analysis concerning all of these parameters was performed so far. SeS was evaluated by plasma Se concentration (plSe) and glutathione peroxidase (plGSHPx) activity in 69 uremic patients treated with hemodialysis (HD) and 40 healthy controls. The hierarchical multivariate partial least squares model (PLS2) was employed to establish data structure and correlations between parameters investigated. plSe and plGSHPx activity were significantly lower in patients when compared with controls (p=0.000). plSe was positively associated with indexes of erythropoiesis and nutritional status, as well as serum electrolytes and parameters of uremic toxemia. plGSHPx was inversely dependent on the pair of parameters: intact parathyroid hormone (iPTH) and aluminum plasma concentration (Al). We conclude that (1) ESRD strongly decreases selenium status and (2) the PLS2 approach revealed the existence of significant interactions among plSe, plGSHPx, and selected biochemical parameters or groups of such parameters; some of these associations need further studies to be clarified.
Keywords:Selenium  glutathione peroxidase  ESRD  hemodialysis  toxemia  partial least squares model
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