Gum Arabic as novel anti-oxidant agent in sickle cell anemia, phase II trial

Lamis Kaddam, Imad Fadl-Elmula, Omer Ali Eisawi, Haydar Awad Abdelrazig, Mohammed Abdelraman Salih, Florian Lang, Amal M Saeed, Lamis Kaddam, Imad Fadl-Elmula, Omer Ali Eisawi, Haydar Awad Abdelrazig, Mohammed Abdelraman Salih, Florian Lang, Amal M Saeed

Abstract

Background: Sickle cell anemia patients suffer from oxidative stress due to chronic inflammation and self-oxidation of sickle hemoglobin (Hb S). Chronic oxidative stress contributes to endothelial dysfunction, inflammation and multiple organ damage in sickle cell disease (SCD). Thus, antioxidant medication may favorably influence the disease. Gum Arabic (GA), edible, dried, gummy exudates from Acacia Senegal tree, has been claimed to act as an anti-oxidant and cytoprotective agent, protecting against experimental hepatic, renal and cardiac toxicities in rats. We hypothesized that regular intake of GA increases anti-oxidant capacity and reduce oxidative stress.

Methods: Forty-seven patients (5-42 years) carrying hemoglobin SS were recruited. Patients received 30 g/day GA for 12 weeks. Total anti-oxidant capacity (TAC), malondialdehyde (MDA) and hydrogen peroxide (H2O2) levels were measured by spectrophotometric methods before and after GA intake. Complete blood count was measured by sysmex.

Results: Gum Arabic significantly increased TAC level P < 0.001and decreased the oxidative markers MDA (P < 0.05) and H2O2 (P < 0.005).

Conclusions: GA has potent anti- oxidative properties in sickle cell anemia. The anti-oxidant effect of GA may thus favorably influence the clinical condition of this and further diseases characterized by oxidative stress.

Trial registration: ClinicalTrials.gov Identifier: NCT02467257. Registered 3rd June 2015. Retrospective registration.

Keywords: Anti-oxidant; Gum Arabic; Oxidative stress; Sickle.

Figures

Fig. 1
Fig. 1
Effect of GA intake on TAC Level (P < 0.001)
Fig. 2
Fig. 2
Effect of GA intake on MDA Level (P < 0.05)
Fig. 3
Fig. 3
Effect of GA intake on H2O2 Level (P < 0.005
Fig. 4
Fig. 4
Linear regression between TAC and Hb level (r2 = 0.109, P < 0.05). Dependent Variable: Base line hemoglobin level. Predictors: (Constant), Base line TAC level
Fig. 5
Fig. 5
Linear regression between MDA and WBCs count (r2 = 0.102, P < 0.05). Dependent Variable: Base line MDA level. Predictors: (Constant), Base line WBCs level
Fig. 6
Fig. 6
Linear regression between H2O2 and MCV level (r2 = 0.219, P = 0.001). Dependent Variable: Base line H2O2 level. Predictors: (Constant), Base line MCV level

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Source: PubMed

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