Ecological geneticsEcological geneticsЭкологическая генетика1811-09322411-9202Eco-Vector63273610.17816/ecogen632736Human ecological geneticsЭкологическая генетика человекаResearch ArticleAssociation of superoxide dismutase and catalase genetic variants and their gene-gene interactions with the severity of COVID-19Ассоциация генетических вариантов супероксиддисмутазы и каталазы и их межгенное взаимодействие с тяжестью течения COVID-19https://orcid.org/0000-0002-3554-3529EidMoez A.ИдМуэз
Russian Federation
moez1995.mae@gmail.comhttps://orcid.org/0000-0002-1948-49952518-5138AleksandrovaAnzhela A.АлександроваАнжела Аслановна
Russian Federation

Cand. Sci. (Biology)

канд. биол. наук

aalexsandrova@sfedu.ru1393-6905KosenkoPeter O.КосенкоПетр Олегович
Russian Federation

Cand. Sci. (Biology)

канд. биол. наук

peza-i@mail.ruhttps://orcid.org/0000-0001-6197-73745620-2091ShkuratTatiana P.ШкуратТатьяна Павловна
Russian Federation

Dr. Sci. (Biology)

д-р биол. наук

tshkurat@yandex.ruSouthern Federal UniversityЮжный федеральный университетMedical Center “Nauka”Медицинский центр «Наука»04072024290920242232552642505202404072024Copyright ©; 2024, Eco-VectorCopyright ©; 2024, Эко-Вектор2024Eco-VectorЭко-Векторhttps://creativecommons.org/licenses/by-nc-nd/4.0/https://journals.eco-vector.com/ecolgenet/article/view/632736

BACKGROUND: Since the outbreak of COVID-19 infection, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), oxidative stress has been proposed as an important player in its severity. This increased the interest in studying antioxidant systems to evaluate their possible role in counteracting disease progression.

AIM: The aim of the current study was to investigate the association of single nucleotide polymorphism (SNP) of superoxide dismutase (SOD) and catalase (CAT) genes with the severity of COVID-19.

MATERIALS AND METHODS: Study subjects were divided into two groups based on the severity of their symptoms. Allele-specific PCR was used for genotyping, and multifactor dimensionality reduction (MDR) analysis was performed to investigate the SNP–SNP interaction models.

RESULTS: The results showed a significant association of SOD2 rs4880 with the severity of COVID-19 (p = 0.002). SOD2 47TT genotype was significantly more frequent among patients with severe COVID-19 (OR 4.34; 95% CI 1.72–10.96). The three-locus SNP–SNP interaction model, resulted from MDR analysis, was statistically significant (0.55 × 10–4, OR 3.81; 95% CI 1.96–7.42). Carriers of SOD1 7958G * SOD2 47T * CAT 262C allele combination had a higher risk of severe COVID-19 (p = 0.0045, OR 2.84, 95% CI 1.40–5.78).

CONCLUSIONS: The obtained results contribute to better understanding of COVID-19 pathogenesis and suggest novel potential prognostic biomarkers of the infection.

Актуальность. С момента вспышки инфекции COVID-19, вызванной коронавирусом тяжелого острого респираторного синдрома 2 (SARS-CoV-2), окислительный стресс был предложен в качестве важного фактора, способствующего ее тяжести. Это повысило интерес к изучению антиоксидантных систем с целью оценки их возможной роли в противодействии прогрессированию заболеваний.

Цель — изучение ассоциации однонуклеотидного полиморфизма (SNP) генов супероксиддисмутазы (SOD) и каталазы (CAT) с тяжестью течения COVID-19.

Материалы и методы. Пациенты были разделены на две группы в зависимости от тяжести симптомов. Аллель-специфическая ПЦР использовалась для генотипирования, а для исследования моделей взаимодействия SNP–SNP был проведен многофакторный анализ снижения размерности (MDR).

Результаты. Результаты показали значительную ассоциацию SOD2 rs4880 с тяжестью течения COVID-19 (p = 0,002). Генотип SOD2 47TT достоверно чаще встречался среди пациентов с тяжелым течением COVID-19 (отношение шансов 4,34; 95 % доверительный интервал 1,72–10,96). Модель взаимодействия SNP–SNP с тремя локусами, полученная в результате анализа MDR, была статистически значимой (0,55 × 10–4, отношение шансов 3,81; 95 % доверительный интервал 1,96–7,42). Носители сочетания аллелей SOD1 7958G * SOD2 47T * CAT 262C имели более высокий риск тяжелого течения COVID-19 (p = 0,0045, отношение шансов 2,84, 95 % доверительный интервал 1,40–5,78).

Заключение. Полученные результаты способствуют лучшему пониманию патогенеза COVID-19 и предлагают новые потенциальные прогностические биомаркеры инфекции.

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