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Abstrato

Analyzing the Correlation of Serum Iron Parameters with Paraoxanase, Arylesterase and Oxidative Stress Markers in Stem Cell Transplantation Patients

Hasan Karagecili, Hatice Pasaoglu, Gulsan Turkoz Sucak and Elif Suyani

Background: Hematopoietic Stem Cell Transplantation (HSCT) itself is associated with morbidity and mortality, and impaired iron metabolism might have an impact on these complications. Iron, ferritin overload in tissues and systemic circulation, is importantly thought that (to) increase the oxidative stress.

Methods: In patients and controls serum iron, iron binding capacity and ferritin levels were measured. Antioxidant enzymes, Catalase (CAT), Glutathione peroxidase (GPx), Paraoxonase (PON), Arylesterase (ARE), and Glutathione-s Transferase (GST) activities were measured in the serum. These parameters and enzymes in relevance to malondialdehyde (MDA) were evaluated.

Results: Serum MDA levels were significantly increased in the autologous group compared with the control group (p < 0.05). Serum glutathione peroxidase and CAT activity levels were lower in allogeneic and autologous groups, a significant difference was not observed between groups (p > 0.05). Serum PON activity levels in autologous were found to be low when compared with the control group (p < 0.05). In terms of serum iron levels, statistically significant difference were found between allogeneic, autologous and the control group (p < 0.05). Serum ferritin levels were found high in allogeneic and autologous groups than the control group (p < 0.05). According to Spearman’s correlation analysis, between serum MDA level and GPx activity in serum, a negative correlation was found. Between serum MDA and serum GST, and between serum PON activity and serum ARE activity were found a positive correlation.

Conlusions: Serum and tissues ferritin overload and the decrease in antioxidative enzymes activity levels may be harmful to body, causing some types of blood cancer diseases.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado.