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. 2017 Nov;22(6):451-459.
doi: 10.1080/13510002.2017.1288973. Epub 2017 Feb 16.

Increased oxidative stress alters nucleosides metabolite levels in sickle cell anemia

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Increased oxidative stress alters nucleosides metabolite levels in sickle cell anemia

Lívia Gelain Castilhos et al. Redox Rep. 2017 Nov.

Abstract

Objectives: This study was conducted to assess the markers of oxidative stress, myeloperoxidase (MPO), acetylcholinesterase (AChE) and xanthine oxidase (XO) activities as well as the levels of nucleotide metabolites in sickle cell anemia (SCA) patients.

Methods: Fifteen SCA treated patients and 30 health subjects (control group) were selected. The markers of oxidative stress (levels of reactive oxygen species (ROS), plasma proteins, carbonyl content, lipid peroxidation (TBARS), total thiols (T-SH), glutathione and catalase activity), MPO, AChE and XO activities as well as the levels of nucleotide metabolites were measured in SCA patients.

Results: ROS, thiobarbituric acid-reactive substances (TBARS) and T-SH levels as well as the activities of catalase and MPO were significantly increased while glutathione level was reduced in SCA patients. Furthermore, a significant (P < 0.001) increase in hypoxanthine level was demonstrated in SCA patients. However, the serum levels for xanthine (P < 0.01) and uric acid (P < 0.001) were decreased in SCA patients. A significant (P < 0.001) decrease in XO activity was detected in SCA patients.

Discussion: The altered parameters in SCA patients suggest that the generation and impairment of oxidative stress in this disease as well as antioxidant markers are contributory factors towards cellular redox homeostasis and alteration of purine metabolites.

Keywords: Sickle cell anemia; enzymes; hypoxanthine; lipid peroxidation; oxidative stress; reactive oxygen species; uric acid; xanthine.

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Figures

Figure 1.
Figure 1.
ROS (A), TBARS (B) and carbonyl levels (C) in serum of SCA patients and controls. Bars represent mean ± S.E.M. (‘**’) indicates a significant (P < 0.01) difference between the SCA patients (n = 15) and control (n = 30). (‘***’) indicates a significant (P < 0.001) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for all the analyses.
Figure 2.
Figure 2.
T-SH and GSH levels in serum of SCA patients and control group. Bars represent mean ± S.E.M. (‘*’) indicates a significant (P < 0.05) difference between the SCA patients (n = 15) and control (n = 30). (‘***’) indicates a significant (P < 0.001) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for all the analyses.
Figure 3.
Figure 3.
Serum GSSG and GSH/GSSG ratio in SCA patients and healthy subjects. Bars represent mean ± S.E.M. (“***”) indicates a significant (P < 0.001) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for statistical analyze.
Figure 4.
Figure 4.
Catalase levels in serum of SCA patients and control group. Bars represent mean ± S.E.M. (‘*’) indicates a significant (P< 0.05) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for statistical analyze.
Figure 5.
Figure 5.
MPO activity in plasma of SCA patients and control group. Bars represent mean ± S.E.M. (‘***’) indicates a significant (P < 0.001) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for statistical analyze.
Figure 6.
Figure 6.
Acetyl cholinesterase activity in total blood of SCA patients and control group. Bars represent mean ± S.E.M. No statistical difference was found between SCA patients (n = 15) and control group (n = 30), (P > 0.05). Student's t test for independent samples was used for statistical analyze.
Figure 7.
Figure 7.
Xanthine oxidase activity in patients with SCA and healthy subjects. Bars represent mean ± S.E.M. (‘***’) indicates a significant (P < 0.001) difference between the SCA patients (n = 15) and control (n = 30). Student's t test for independent samples was used for statistical analyze.

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