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Антропометрические показатели у пациентов с дилатацией миокарда ишемического генеза — носителей полиморфизмов rs231775 гена CTLA4
Антропометрические показатели у пациентов с дилатацией миокарда ишемического генеза — носителей полиморфизмов rs231775 гена CTLA4
Кузнецова О.О., Никулина С.Ю., Чернова А.А., Максимов В.Н. Антропометрические показатели у пациентов с дилатацией миокарда ишемического генеза, носителей полиморфизмов rs231775 гена CTLA4 // CardioСоматика. 2025. Т. 16, № 2. С. 137–146. DOI: 10.17816/CS678602 EDN: CXVKDL
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Аннотация
Обоснование. Дилатация миокарда ишемического генеза (ДМИГ) развивается в результате ишемической болезни сердца и может привести к сердечной недостаточности с выраженным снижением сократимости сердца. Ранее мы доказали генетические факторы, ассоциированные с риском развития ДМИГ. В литературе мы не нашли информацию об ассоциации соматометрических показателей с ДМИГ.
Цель. Выявить антропометрические показатели, которые ассоциированы с ДМИГ у носителей полиморфизмов rs231775 гена CTLA4.
Материалы и методы. В настоящее исследование включены 113 пациентов с ДМИГ (103 мужчин и 10 женщин). Контрольная группа включала 101 здорового человека. При обследовании пациентов проведён сбор жалоб, анамнеза, объективный осмотр, измерение антропометрических показателей, инструментальные методы исследования, в том числе диагностическое исследование коронарных артерий. Из венозной крови всех участников извлечена ДНК методом фенол-хлороформной экстракции для последующего генотипирования.
Результаты. Среди пациентов — носителей генотипа GG чаще встречается пикнический тип по сравнению с контрольной группой (64% против 9,7%, χ2=55,557; p <0,001). В группах пациентов с ДМИГ преобладал андроморфный тип телосложения по сравнению с группой контроля, где преимущественно встречается гинекоморфный и мезоморфный типы телосложения.
Заключение. Генотип GG полиморфизма rs231775 в гене CTLA4 и пикнический тип телосложения, вероятно, ассоциированы с ДМИГ.
Ключевые слова: дилатация миокарда ишемического генеза, индекс формы тела, индекс округлости тела, индекс окружности талии, антропометрия, полиморфизм гена CTLA4
AIM: The work aimed to identify anthropometric parameters associated with IMD in carriers ща CTLA4 rs231775 polymorphisms.
METHODS: The study included 113 patients with IMD (103 men and 10 women). The control group comprised 101 healthy individuals. Evaluation included history taking, physical examination, measurement of anthropometric parameters, and instrumental investigations including coronary artery assessment. DNA was extracted from venous blood samples using the phenol-chloroform method for subsequent genotyping.
RESULTS: Among patients carrying the GG genotype, the pyknic body type was significantly more frequent compared with controls (64% vs 9.7%; χ2 = 55.557; p < 0.001). In IMD groups, the andromorphic body type predominated, whereas the control group predominantly exhibited gynecomorphic and mesomorphic types.
CONCLUSION: The GG genotype of the rs231775 polymorphism in the CTLA4 gene and the pyknic body type are likely associated with IMD.
Keywords: ischemic myocardial dilation, body shape index, body roundness index, waist circumference, anthropometry, CTLA4 gene polymorphism
Цель. Выявить антропометрические показатели, которые ассоциированы с ДМИГ у носителей полиморфизмов rs231775 гена CTLA4.
Материалы и методы. В настоящее исследование включены 113 пациентов с ДМИГ (103 мужчин и 10 женщин). Контрольная группа включала 101 здорового человека. При обследовании пациентов проведён сбор жалоб, анамнеза, объективный осмотр, измерение антропометрических показателей, инструментальные методы исследования, в том числе диагностическое исследование коронарных артерий. Из венозной крови всех участников извлечена ДНК методом фенол-хлороформной экстракции для последующего генотипирования.
Результаты. Среди пациентов — носителей генотипа GG чаще встречается пикнический тип по сравнению с контрольной группой (64% против 9,7%, χ2=55,557; p <0,001). В группах пациентов с ДМИГ преобладал андроморфный тип телосложения по сравнению с группой контроля, где преимущественно встречается гинекоморфный и мезоморфный типы телосложения.
Заключение. Генотип GG полиморфизма rs231775 в гене CTLA4 и пикнический тип телосложения, вероятно, ассоциированы с ДМИГ.
Ключевые слова: дилатация миокарда ишемического генеза, индекс формы тела, индекс округлости тела, индекс окружности талии, антропометрия, полиморфизм гена CTLA4
________________________________________________
AIM: The work aimed to identify anthropometric parameters associated with IMD in carriers ща CTLA4 rs231775 polymorphisms.
METHODS: The study included 113 patients with IMD (103 men and 10 women). The control group comprised 101 healthy individuals. Evaluation included history taking, physical examination, measurement of anthropometric parameters, and instrumental investigations including coronary artery assessment. DNA was extracted from venous blood samples using the phenol-chloroform method for subsequent genotyping.
RESULTS: Among patients carrying the GG genotype, the pyknic body type was significantly more frequent compared with controls (64% vs 9.7%; χ2 = 55.557; p < 0.001). In IMD groups, the andromorphic body type predominated, whereas the control group predominantly exhibited gynecomorphic and mesomorphic types.
CONCLUSION: The GG genotype of the rs231775 polymorphism in the CTLA4 gene and the pyknic body type are likely associated with IMD.
Keywords: ischemic myocardial dilation, body shape index, body roundness index, waist circumference, anthropometry, CTLA4 gene polymorphism
Полный текст
Список литературы
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12. Felker GM, Shaw LK, O'Connor CM. A standardized definition of ischemic cardiomyopathy for use in clinical research. J Am Coll Cardiol. 2002;39(2):210–218. doi: 10.1016/s0735-1097(01)01738-7 EDN: BDMQAH
13. Alshibaya MM, Kovalenko OA, Dorofeev AV, et al. Surgical remodeling of the left ventricle in ischemic cardiomyopathy. Vestnik Rossiiskoi akademii meditsinskikh nauk. 2005;(4):53–58. EDN: HRXFJN
14. Kuznetsova OO, Nikulina SYu, Chernova AA, et al. Anthropometric parameters as risk factors for dilated cardiomyopathy in carriers of rs1805124 and rs35068180 polymorphisms. Rossiiskii kardiologicheskii zhurnal. 2024;29(10):6056. doi: 10.15829/1560-4071-2024-6056 EDN: JJBZQR
15. Carrión-Martínez A, Buckley BJR, Orenes-Piñero E, et al. Anthropometric measures and risk of cardiovascular disease: is there an opportunity for non-traditional anthropometric assessment? A review. Rev Cardiovasc Med. 2022;23(12):414. doi: 10.31083/j.rcm2312414 EDN: RWIMCA
16. Tian T, Zhang J, Zhu Q, et al. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China. BMC Public Health. 2020;20(1):1317. doi: 10.1186/s12889-020-09423-9 EDN: WGQTPG
17. Calderón-García JF, Roncero-Martín R, Rico-Martín S, et al. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies. Int J Environ Res Public Health. 2021;18(21):11607. doi: 10.3390/ijerph182111607 EDN: WCHRNP
18. Tao L, Miao L, Guo YJ, et al. Associations of body roundness index with cardiovascular and all-cause mortality: NHANES 2001-2018. J Hum Hypertens. 2024;38(2):120–127. doi: 10.1038/s41371-023-00864-4 EDN: MSBYDT
19. Costo-Muriel C, Calderón-García JF, Rico-Martín S, et al. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices. Curr Probl Cardiol. 2023;48(4):101574. doi: 10.1016/j.cpcardiol.2022.101574 EDN: UATAVC
20. Chang Y, Guo X, Li T, et al. A Body Shape Index and Body Roundness Index: Two New Body Indices to Identify Left Ventricular Hypertrophy among Rural Populations in Northeast China. Heart Lung Circ. 2016;25(4):358–364. doi: 10.1016/j.hlc.2015.08.009 EDN: WUOKNP
2. Aune D, Sen A, Norat T, et al. Body mass index, abdominal fatness, and heart failure incidence and mortality: a systematic review and dose‑response meta-analysis of prospective studies. Circulation. 2016;133(7):639–649. doi: 10.1161/CIRCULATIONAHA.115.016801 EDN: UOCUQD
3. Zhang J, Begley A, Jackson R, et al. Body mass index and all-cause mortality in heart failure patients with normal and reduced ventricular ejection fraction: a dose-response meta-analysis. Clin Res Cardiol. 2019;108(2):119–132. doi: 10.1007/s00392-018-1302-7 EDN: OHFUAP
4. Heymsfield SB, Peterson CM, Thomas DM, et al. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review. Obes Rev. 2016;17(3):262–275. doi: 10.1111/obr.12358
5. Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage – A cross-sectional study in American adult individuals. Sci Rep. 2018;8(1):10980. doi: 10.1038/s41598-018-29362-1 EDN: YJRUJN
6. Suthahar N, Meems LMG, Withaar C, et al. Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND. Sci Rep. 2022;12(1):147. doi: 10.1038/s41598-021-02409-6 EDN: CUNVEO
7. Butt JH, Petrie MC, Jhund PS, et al. Anthropometric measures and adverse outcomes in heart failure with reduced ejection fraction: revisiting the obesity paradox. Eur Heart J. 2023;44(13):1136–1153. doi: 10.1093/eurheartj/ehad083 EDN: HRZIRK
8. Wang J, Wu M, Wu S, Tian Y. Relationship between body roundness index and the risk of heart failure in Chinese adults: the Kailuan cohort study. ESC Heart Fail. 2022;9(2):1328–1337. doi: 10.1002/ehf2.13820 EDN: PYUDNL
9. Rico-Martín S, Calderón-García JF, Sánchez-Rey P, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. doi: 10.1111/obr.13023 EDN: SECGUX
10. Nikulina SYu, Kuznetsova OO, Matyushin GV, et al. Prognostic model for the development of cardiomyopathies based on genetic predictors. Russian Journal of Cardiology. 2024;29(11):5863. doi: 10.15829/1560-4071-2024-5863 EDN SFVLQJ
11. Ruppert V, Meyer T, Struwe C, et al. Evidence for CTLA4 as a susceptibility gene for dilated cardiomyopathy. Eur J Hum Genet. 2010;18(6):694–699. doi: 10.1038/ejhg.2010.3 EDN: NZJZDJ
12. Felker GM, Shaw LK, O'Connor CM. A standardized definition of ischemic cardiomyopathy for use in clinical research. J Am Coll Cardiol. 2002;39(2):210–218. doi: 10.1016/s0735-1097(01)01738-7 EDN: BDMQAH
13. Alshibaya MM, Kovalenko OA, Dorofeev AV, et al. Surgical remodeling of the left ventricle in ischemic cardiomyopathy. Vestnik Rossiiskoi akademii meditsinskikh nauk. 2005;(4):53–58. EDN: HRXFJN
14. Kuznetsova OO, Nikulina SYu, Chernova AA, et al. Anthropometric parameters as risk factors for dilated cardiomyopathy in carriers of rs1805124 and rs35068180 polymorphisms. Rossiiskii kardiologicheskii zhurnal. 2024;29(10):6056. doi: 10.15829/1560-4071-2024-6056 EDN: JJBZQR
15. Carrión-Martínez A, Buckley BJR, Orenes-Piñero E, et al. Anthropometric measures and risk of cardiovascular disease: is there an opportunity for non-traditional anthropometric assessment? A review. Rev Cardiovasc Med. 2022;23(12):414. doi: 10.31083/j.rcm2312414 EDN: RWIMCA
16. Tian T, Zhang J, Zhu Q, et al. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China. BMC Public Health. 2020;20(1):1317. doi: 10.1186/s12889-020-09423-9 EDN: WGQTPG
17. Calderón-García JF, Roncero-Martín R, Rico-Martín S, et al. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies. Int J Environ Res Public Health. 2021;18(21):11607. doi: 10.3390/ijerph182111607 EDN: WCHRNP
18. Tao L, Miao L, Guo YJ, et al. Associations of body roundness index with cardiovascular and all-cause mortality: NHANES 2001-2018. J Hum Hypertens. 2024;38(2):120–127. doi: 10.1038/s41371-023-00864-4 EDN: MSBYDT
19. Costo-Muriel C, Calderón-García JF, Rico-Martín S, et al. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices. Curr Probl Cardiol. 2023;48(4):101574. doi: 10.1016/j.cpcardiol.2022.101574 EDN: UATAVC
20. Chang Y, Guo X, Li T, et al. A Body Shape Index and Body Roundness Index: Two New Body Indices to Identify Left Ventricular Hypertrophy among Rural Populations in Northeast China. Heart Lung Circ. 2016;25(4):358–364. doi: 10.1016/j.hlc.2015.08.009 EDN: WUOKNP
2. Aune D, Sen A, Norat T, et al. Body mass index, abdominal fatness, and heart failure incidence and mortality: a systematic review and dose‑response meta-analysis of prospective studies. Circulation. 2016;133(7):639–649. doi: 10.1161/CIRCULATIONAHA.115.016801 EDN: UOCUQD
3. Zhang J, Begley A, Jackson R, et al. Body mass index and all-cause mortality in heart failure patients with normal and reduced ventricular ejection fraction: a dose-response meta-analysis. Clin Res Cardiol. 2019;108(2):119–132. doi: 10.1007/s00392-018-1302-7 EDN: OHFUAP
4. Heymsfield SB, Peterson CM, Thomas DM, et al. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review. Obes Rev. 2016;17(3):262–275. doi: 10.1111/obr.12358
5. Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage – A cross-sectional study in American adult individuals. Sci Rep. 2018;8(1):10980. doi: 10.1038/s41598-018-29362-1 EDN: YJRUJN
6. Suthahar N, Meems LMG, Withaar C, et al. Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND. Sci Rep. 2022;12(1):147. doi: 10.1038/s41598-021-02409-6 EDN: CUNVEO
7. Butt JH, Petrie MC, Jhund PS, et al. Anthropometric measures and adverse outcomes in heart failure with reduced ejection fraction: revisiting the obesity paradox. Eur Heart J. 2023;44(13):1136–1153. doi: 10.1093/eurheartj/ehad083 EDN: HRZIRK
8. Wang J, Wu M, Wu S, Tian Y. Relationship between body roundness index and the risk of heart failure in Chinese adults: the Kailuan cohort study. ESC Heart Fail. 2022;9(2):1328–1337. doi: 10.1002/ehf2.13820 EDN: PYUDNL
9. Rico-Martín S, Calderón-García JF, Sánchez-Rey P, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. doi: 10.1111/obr.13023 EDN: SECGUX
10. Nikulina SYu, Kuznetsova OO, Matyushin GV, et al. Prognostic model for the development of cardiomyopathies based on genetic predictors. Russian Journal of Cardiology. 2024;29(11):5863. doi: 10.15829/1560-4071-2024-5863 EDN SFVLQJ
11. Ruppert V, Meyer T, Struwe C, et al. Evidence for CTLA4 as a susceptibility gene for dilated cardiomyopathy. Eur J Hum Genet. 2010;18(6):694–699. doi: 10.1038/ejhg.2010.3 EDN: NZJZDJ
12. Felker GM, Shaw LK, O'Connor CM. A standardized definition of ischemic cardiomyopathy for use in clinical research. J Am Coll Cardiol. 2002;39(2):210–218. doi: 10.1016/s0735-1097(01)01738-7 EDN: BDMQAH
13. Alshibaya MM, Kovalenko OA, Dorofeev AV, et al. Surgical remodeling of the left ventricle in ischemic cardiomyopathy. Vestnik Rossiiskoi akademii meditsinskikh nauk. 2005;(4):53–58. EDN: HRXFJN
14. Kuznetsova OO, Nikulina SYu, Chernova AA, et al. Anthropometric parameters as risk factors for dilated cardiomyopathy in carriers of rs1805124 and rs35068180 polymorphisms. Rossiiskii kardiologicheskii zhurnal. 2024;29(10):6056. doi: 10.15829/1560-4071-2024-6056 EDN: JJBZQR
15. Carrión-Martínez A, Buckley BJR, Orenes-Piñero E, et al. Anthropometric measures and risk of cardiovascular disease: is there an opportunity for non-traditional anthropometric assessment? A review. Rev Cardiovasc Med. 2022;23(12):414. doi: 10.31083/j.rcm2312414 EDN: RWIMCA
16. Tian T, Zhang J, Zhu Q, et al. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China. BMC Public Health. 2020;20(1):1317. doi: 10.1186/s12889-020-09423-9 EDN: WGQTPG
17. Calderón-García JF, Roncero-Martín R, Rico-Martín S, et al. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies. Int J Environ Res Public Health. 2021;18(21):11607. doi: 10.3390/ijerph182111607 EDN: WCHRNP
18. Tao L, Miao L, Guo YJ, et al. Associations of body roundness index with cardiovascular and all-cause mortality: NHANES 2001-2018. J Hum Hypertens. 2024;38(2):120–127. doi: 10.1038/s41371-023-00864-4 EDN: MSBYDT
19. Costo-Muriel C, Calderón-García JF, Rico-Martín S, et al. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices. Curr Probl Cardiol. 2023;48(4):101574. doi: 10.1016/j.cpcardiol.2022.101574 EDN: UATAVC
20. Chang Y, Guo X, Li T, et al. A Body Shape Index and Body Roundness Index: Two New Body Indices to Identify Left Ventricular Hypertrophy among Rural Populations in Northeast China. Heart Lung Circ. 2016;25(4):358–364. doi: 10.1016/j.hlc.2015.08.009 EDN: WUOKNP
________________________________________________
2. Aune D, Sen A, Norat T, et al. Body mass index, abdominal fatness, and heart failure incidence and mortality: a systematic review and dose‑response meta-analysis of prospective studies. Circulation. 2016;133(7):639–649. doi: 10.1161/CIRCULATIONAHA.115.016801 EDN: UOCUQD
3. Zhang J, Begley A, Jackson R, et al. Body mass index and all-cause mortality in heart failure patients with normal and reduced ventricular ejection fraction: a dose-response meta-analysis. Clin Res Cardiol. 2019;108(2):119–132. doi: 10.1007/s00392-018-1302-7 EDN: OHFUAP
4. Heymsfield SB, Peterson CM, Thomas DM, et al. Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review. Obes Rev. 2016;17(3):262–275. doi: 10.1111/obr.12358
5. Woolcott OO, Bergman RN. Relative fat mass (RFM) as a new estimator of whole-body fat percentage – A cross-sectional study in American adult individuals. Sci Rep. 2018;8(1):10980. doi: 10.1038/s41598-018-29362-1 EDN: YJRUJN
6. Suthahar N, Meems LMG, Withaar C, et al. Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND. Sci Rep. 2022;12(1):147. doi: 10.1038/s41598-021-02409-6 EDN: CUNVEO
7. Butt JH, Petrie MC, Jhund PS, et al. Anthropometric measures and adverse outcomes in heart failure with reduced ejection fraction: revisiting the obesity paradox. Eur Heart J. 2023;44(13):1136–1153. doi: 10.1093/eurheartj/ehad083 EDN: HRZIRK
8. Wang J, Wu M, Wu S, Tian Y. Relationship between body roundness index and the risk of heart failure in Chinese adults: the Kailuan cohort study. ESC Heart Fail. 2022;9(2):1328–1337. doi: 10.1002/ehf2.13820 EDN: PYUDNL
9. Rico-Martín S, Calderón-García JF, Sánchez-Rey P, et al. Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev. 2020;21(7):e13023. doi: 10.1111/obr.13023 EDN: SECGUX
10. Nikulina SYu, Kuznetsova OO, Matyushin GV, et al. Prognostic model for the development of cardiomyopathies based on genetic predictors. Russian Journal of Cardiology. 2024;29(11):5863. doi: 10.15829/1560-4071-2024-5863 EDN SFVLQJ
11. Ruppert V, Meyer T, Struwe C, et al. Evidence for CTLA4 as a susceptibility gene for dilated cardiomyopathy. Eur J Hum Genet. 2010;18(6):694–699. doi: 10.1038/ejhg.2010.3 EDN: NZJZDJ
12. Felker GM, Shaw LK, O'Connor CM. A standardized definition of ischemic cardiomyopathy for use in clinical research. J Am Coll Cardiol. 2002;39(2):210–218. doi: 10.1016/s0735-1097(01)01738-7 EDN: BDMQAH
13. Alshibaya MM, Kovalenko OA, Dorofeev AV, et al. Surgical remodeling of the left ventricle in ischemic cardiomyopathy. Vestnik Rossiiskoi akademii meditsinskikh nauk. 2005;(4):53–58. EDN: HRXFJN
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Авторы
О.О. Кузнецова*1,2, С.Ю. Никулина1, А.А. Чернова1,3, В.Н. Максимов4
1Красноярский государственный медицинский университет им. проф. В.Ф. Войно-Ясенецкого, Красноярск, Россия;
2Федеральный центр сердечно-сосудистой хирургии, Красноярск, Россия;
3Федеральный Сибирский научно-клинический центр Федерального медико-биологического агентства, Красноярск, Россия;
4Научно-исследовательский институт Терапии и профилактической медицины, Новосибирск, Россия
*isachenko102@inbox.ru
1Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia;
2Hospital Center for Cardiovascular Surgery, Krasnoyarsk, Russia;
3Siberian Scientific and Clinical Center of Federal Medicobiological Agency, Krasnoyarsk, Russia;
4Scientific Research Institute of Therapy and Preventive Medicine, Novosibirsk, Russia
*isachenko102@inbox.ru
1Красноярский государственный медицинский университет им. проф. В.Ф. Войно-Ясенецкого, Красноярск, Россия;
2Федеральный центр сердечно-сосудистой хирургии, Красноярск, Россия;
3Федеральный Сибирский научно-клинический центр Федерального медико-биологического агентства, Красноярск, Россия;
4Научно-исследовательский институт Терапии и профилактической медицины, Новосибирск, Россия
*isachenko102@inbox.ru
________________________________________________
1Voino-Yasenetsky Krasnoyarsk State Medical University, Krasnoyarsk, Russia;
2Hospital Center for Cardiovascular Surgery, Krasnoyarsk, Russia;
3Siberian Scientific and Clinical Center of Federal Medicobiological Agency, Krasnoyarsk, Russia;
4Scientific Research Institute of Therapy and Preventive Medicine, Novosibirsk, Russia
*isachenko102@inbox.ru
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