Перегляд за Автор "Ivashchenko, D."

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    Allele С (rs5186) of at1r is associated with the severity of COVID-19 in the Ukrainian population
    (2022) Izmailova, O.; Shlykova, O.; Vatsenko, A.; Ivashchenko, D.; Dudchenko, M.; Koval, T.; Kaidashev, I.; Ізмайлова, Ольга Віталіївна; Шликова, Оксана Анатоліївна; Ваценко, Анжела Володимирівна; Іващенко, Дмитро Миколайович; Дудченко, Максим Олександрович; Коваль, Тетяна Ігорівна; Кайдашев, Ігор Петрович
    The severity of SARS-CoV-2 induced coronavirus disease 19 (COVID-19) depends on the presence of risk factors and the hosts’ gene variability. There are preliminary results that gene polymorphisms of the renin- angiotensin system can infuence the susceptibility to and mortality from COVID-19. Angiotensin II type 1 receptor (AT1R) might be a gene candidate that exerts such infuence. The aim of this study was to elaborate on the association between A1166C at1r polymorphic variants and the susceptibility to and severity of COVID-19 in the Ukrainian population. Methods: The study population consisted of the Ukrainian population (Poltava region) with COVID-19, divided into three clinical groups in accordance with oxygen requirement: patients without oxygen therapy (n = 110), with non-invasive (n = 136) and invasive (n = 36) oxygen therapy. The A1166C polymorphism of the at1r was determined by polymerase chain reaction with subsequent restrictase analysis. In an attempt to better explain the role of the A1166C at1r polymorphism we compared its association with COVID-19, essential hypertension (n = 79), renoparenchimal hypertension (n = 30) and dyscirculatory en- cephalopathy (n = 112). The data for this comparison were obtained by meta-analysis. Results: We observed signifcant differences in the frequency of AA, AC and CC genotypes in the groups of COVID- 19 patients with non-invasive and invasive oxygen therapy in comparison with control subjects as well as in the frequency of combined AC + CC genotype between the groups of COVID-19 patients with any types of oxygen therapy and patients without oxygen therapy. The frequency of the 1166C allele was higher in COVID-19 patients with invasive oxygen therapy (OR = 2.06; CI (1.20–3.53); p = 0.013). We obtained important results indicating that there were no differences between the frequency of at1r polymorphisms in patients with cardiovascular disease and severe COVID-19 with invasive oxygen therapy as well as those who died due to COVID-19. Conclusion: Our study indicated the presence of an association between the A1166C at1r polymorphisms and the severity of COVID-19 in the Ukrainian population. It seems that in carriers of 1166C at1r, the severity of COVID- 19 and oxygen dependency is higher as compared to the A allele carriers, possibly, due to cardiovascular disorders.
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    Polymorphism of tmprss2 (rs12329760) but not ace2 (rs4240157), tmprss11a (rs353163) and cd147 (rs8259) is associated with the severity of COVID-19 in the Ukrainian population
    (Acta Biomed, 2023-02-13) Izmailova, O.; Shlykova, O.; Kabaliei, A.; Vatsenko, A.; Ivashchenko, D.; Dudchenko, M.; Volianskyi, A.; Zelinskyy, G.; Koval, T.; Dittmer, U.; Kaidashev, I.; Ізмайлова, Ольга Віталіївна; Дудченко, Максим Олександрович; Іващенко, Дмитро Миколайович; Кабалєй, Аліна Вікторівна; Волянський, Андрій Юрійович; Дітмер, Ульф; Зелінський, Геннадій; Шликова, Оксана Анатоліївна; Ваценко, Анастасія Ігорівна; Коваль, Тетяна Ігорівна; Кайдашев, Ігор Петрович
    Gene polymorphism, coding the host proteases, which are involved in the virus entry into the cells can influence the susceptibility to and mortality from coronavirus disease 19 (COVID-19). Angiotensin-converting enzyme 2 (ACE2), transmembrane serine 2 and serine 11A proteases (TMPRSS2, TMPRSS11A), and a cell surface cluster of differentiation 147 (CD147) might be a gene candidate that ex-erts such influence. The aim of this study was to investigate the associations between ace2, tmprss2, tmprss11a, and cd147 polymorphic variants and the severity of COVID-19 in the Ukrainian population. Methods: The study population consisted of the Ukrainian population with COVID-19: patients without oxygen therapy (n=62), with non-invasive (n=92) and invasive (n=35) oxygen therapy, as well as control subjects (n=92). Al-lelic polymorphisms of ace2 rs4240157, tmprss2 rs12329760, and tmprss11a rs353163 were determined by real-time PCR, and cd147 rs8259 polymorphism was detected by PCR with subsequent restrictase analysis. We compared investigated polymorphisms distribution with other populations by meta-analysis. Results: Our study is the first to obtain data about the distribution of investigated gene polymorphisms in the Ukrainian population: tmprss2 rs12329760 – CC 60.9%, CT 35.9%, TT 3.2%; tmprss11a rs353163 – CC 46.7%, CT 40.2%, TT 13.1%; ace2 rs4240157 – CC 7.6%, C 18.5%, CT 22.8%, TT 19.6%, T 31.5%; cd147 rs8259 – TT 60.9%, AT 32.6%, AA 6.5%. This distribution was similar to the Northern, Western and Southern European populations. There was a statistically significant difference in the frequency of tmprss2 polymorphic geno-types CC 57.1%, CT 28.6%, and TT 14.3% (P<0.05) in COVID-19 patients with invasive oxygen therapy in comparison with non-invasive oxygen therapy. This tmprss2 mutation occurs in the scavenger receptor cysteine-rich (SRCR) domain and might be important for protein-protein interaction in a calcium-depend-ent manner. Conclusions: Our study indicated the presence of an association between the tmprss2 rs12329760 polymorphism and the severity of COVID-19 in the Ukrainian population.
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    Прогнозування інфекційних ускладнень вогнепальних ран м’яких тканин
    (Національний інститут хірургії та трансплантології імені О. О. Шалімова, 2015-12) Лігоненко, Олексій Вікторович; Борисенко, Микола Миколайович; Дігтяр, Ілля Іванович; Іващенко, Дмитро Миколайович; Зубаха, Анатолій Борисович; Чорна, Ірина Олексіївна; Шумейко, Ігор Анатолійович; Стороженко, Олексій Володимирович; Горб, Людмила Іванівна; Лігоненко, Олег Олексійович; Ligonenko, O. V.; Digtyar, I.; Zubakha, A.; Shumeyko, I.; Gorb, L.; Storozhenko, O.; Ligonenko, O. O.; Chorna, I.; Ivashchenko, D.; Borysenko, M. M.; Лигоненко, Алексей Викторович; Борисенко, Николай Николаевич; Дигтярь, Илья Иванович; Иващенко, Дмитрий Николаевич; Зубаха, Анатолий Борисович; Черная, Ирина Алексеевна; Шумейко, Игорь Анатольевич; Стороженко, Алексей Владимирович; Горб, Людмила Ивановна; Лигоненко, Олег Алексеевич
    З використанням методів логістичного регресійного аналізу розроблена методика прогнозування інфекційних ускладнень у вогнепальній рані