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Evaluation of oxidative stress-related genetic variants for predicting stroke in patients with sickle cell anemia

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Igor F. Domingos, Diego A. Pereira-Martins, Rayssa L. Borges-Medeiros, Diego A. Falcao, Betania L. Hatzlhofer, John N. Brewin, Kate Gardner, Taciana F. Mendonca, Maria S. Cavalcanti, Anderson F. Cunha, Ana C. Anjos, Evandra S. Rodrigues, Simone Kashima, Pedro R. Cruz, Monica B. Melo, Stephan Menzel, Aderson S. Araujo, Fernando F. Costa, Marcos A. Bezerra, Antonio R. Lucena-Araujo

Original languageEnglish
Article number116839
JournalJournal of the Neurological Sciences
Published15 Jul 2020

King's Authors


Overt stroke in adults with sickle cell anemia (SCA) continues to be a major cause of morbidity and mortality, while no evidence-based strategy for prevention has been reached so far. Although transcranial Doppler ultrasonography represents the most important tool for identifying young patients with SCA at risk of primary stroke, strategies for stroke prediction in adulthood remain challenging. Emerging data suggest that oxidative stress may exert a pivotal role in the pathogenesis of ischemic brain injury. Combining these pieces of evidences with the well-known genetic contribution to the development of stroke in SCA, we hypothesized that genetic variants related to the biology of oxidative stress could be used to identify adult patients at higher risk of stroke. Overall, 499 unrelated patients with SCA aged >18 years were genotyped for SOD2 Val16Ala (rs4880), GPX3 T-568C (rs8177404), GPX3 T-518C (rs8177406), GPX3 T-65C (rs8177412), and CAT01 C-262 T (rs1001179) polymorphisms, along with α-thalassemia status and β-globin gene haplotypes. Of these, only the SOD2 Val16Ala polymorphism was associated with stroke. SOD2 Val16Ala polymorphism was independently associated with risk of stroke (odds ratio: 1.98; 95% confidence interval [CI]: 1.18–3.32; P = .009) and with the long-term cumulative incidence of stroke (hazard ratio: 2.24, 95% CI: 1.3–3.9; P = .004). In summary, we provide evidence that oxidative stress-related genetic variants, in particular, the SOD2 Val16Ala polymorphism, may represent a simple and inexpensive alternative for identifying patients at risk of stroke.

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