PECULIARITIES OF BLOOD CELL COMPOSITION DEPENDING ON THE SEQUENCE OF MANIFESTATION OF A NUMBER OF DISEASES

DOI: https://doi.org/10.29296/25877305-2024-08-15
Issue: 
8
Year: 
2024

U. Saginbaev(1), Candidate of Biological Sciences; Associate Professor
S. Rukavishnikova(1), Biol.D; Associate Professor T. Akhmedov(1), Biol.D;
O. Kovalenko(2); E. Nichik(3); E. Shostak(3,4)
1-Saint Petersburg Institute of Bioregulation and Gerontology
2-City Polyclinic of the City of Belgorod, Belgorod
3-Research Medical Centre «GERONTOLOGY», Moscow
4-Clinic of aesthetic medicine DEGA, Saint-Petersburg

Aging is a process affecting various organ and tissue systems. The development of age-related changes occurs at the molecular, genetic, cellular, organ and organizational levels. At the population level, accelerated aging can manifest itself as an unfavorable upward dynamics of the incidence of age-associated diseases, an early manifestation of pathology. Рurpose. To study the features of the cellular composition of the blood depending on the sequence of manifestation of a number of diseases. Materials and methods. Statistical collections for 2015–2019 acted as materials, clinical blood test (cellular composition of blood) of 17 957 patients hospitalized in Saint-Petersburg City Hospital No 2 from 01.01.2015 to 31.12.2019 with the following diagnoses (ICD-10 codes) is also analyzed: E05, E10, E11, G20, H25, H40, I10, I10–I15, I20, M80–M81, N20–N23. Results. The analysis established a significant correlation with the priority of disease manifestation for only two indicators: lymphocyte count (r=-0.675; p=0.022) and red blood cells (r=-0.639; p=0.033). Correlation analysis demonstrated a significant association between age-specific incidence index (ASII) and absolute lymphocyte and erythrocyte counts. The sequence of manifestation of the considered diseases, compiled on the basis of ASII ranking, is closely related to the age characteristics of the cellular composition of the blood. Conclusion. Thus, features of the cellular composition of the blood were found depending on the manifestation of diseases. The identified patterns corresponding to age-related changes will allow the development of new approaches in the study of the pathophysiological gerontological continuum.
Keywords: 
geriatrics
age-specific incidence index
age-associated diseases
blood cells.

References: 
  1. Khavinson V., Linkova N., Dyatlova A. et al. Senescence-Associated Secretory Phenotype of Cardiovascular System Cells and Inflammaging: Perspectives of Peptide Regulation. Cells. 2023; 1: 106. DOI: 10.3390/cells12010106
  2. Голубев А.Г. Биология продолжительности жизни и старения. СПб: Издательство «Н-Л», 2009; 288 c. [Golubev A.G. Biology of life expectancy and aging. SPb: Izdatelstvo «N-L», 2009; 288 p. (in Russ.)].
  3. Bousquet J., Kuh D. Operational definition of active and healthy ageing (AHA): a conceptual framework. J Nutr Health Aging. 2015; 19 (9): 955–60. DOI: 10.1007/s12603-015-0589-6
  4. Гаврилов И.В., Мещанинов В.Н., Щербаков Д.Л. и др. Скрининг функциональных, биохимических и клеточно-гематологических показателей организма как маркеров процесса старения человека. Вестник уральской медицинской академической науки. 2018; 15 (5): 691–703 [Gavrilov I.V., Meshchaninov V.N., Shcherbakov D.L. et al. Screening of functional, biochemical and cellular hematologic parameters of the human organism as markers of the process of human aging. Journal of Ural Medical Academic Science. 2018; 15 (5): 691–703 (in Russ.)]. DOI: 10.22138/2500-0918-2018-15-5-691-703
  5. Rybtsova N., Berezina T., Kagansky A. et al. Can blood-circulating factors unveil and delay your biological aging? Biomedicines. 2020; 8: 1–31. DOI 10.3390/biomedicines8120615
  6. Дудинская Е.Н., Ткачева О.Н., Шестакова М.В. и др. Длина теломер и состояние сосудистой стенки у пациентов с сахарным диабетом 2 типа. Сахарный диабет. 2014; 17 (3): 31–8 [Dudinskaya E.N., Tkacheva O.N., Shestakova M.V. et al. Telomere length and vascular wall in patients with Type 2 Diabetes Mellitus. Diabetes mellitus. 2014; 17 (3): 31–8 (in Russ.)]. DOI: 10.14341/DM2014331-38
  7. Александрова Г.А., Поликарпов А.В., Голубев Н.А. и др. Заболеваемость взрослого населения России в 2015 году. Статистические материалы. М.: Минздрав России, 2016; 160 с. [Aleksandrova G.A., Polikarpov A.V., Golubev N.A. et al. The incidence of adult population of Russia in 2015. Statistical materials. M.: Minzdrav Rossii, 2016; 160 p. (in Russ.)].
  8. Александрова Г.А., Поликарпов А.В., Голубев Н.А. и др. Заболеваемость населения старше трудоспособного возраста по России в 2015 году. Статистические материалы. М.: Минздрав России, 2016; 183 с. [Aleksandrova G.A., Polikarpov A.V., Golubev N.A. et al. The incidence of the population is older than working age in Russia in 2015. Statistical materials. M.: Minzdrav Rossii, 2016; 183 p. (in Russ.)].
  9. Поликарпов А.В., Александрова Г.А., Голубев Н.А. и др. Заболеваемость взрослого населения России в 2017 году. Статистические материалы. М.: Минздрав России, 2018; 160 с. [Polikarpov A.V., Aleksandrova G.A., Golubev N.A. et al. The incidence of adult population of Russia in 2017. Statistical materials. M.: Minzdrav Rossii, 2018; 160 p. (in Russ.)].
  10. Поликарпов А.В., Александрова Г.А., Голубев Н.А. и др. Заболеваемость населения старше трудоспособного возраста по России в 2017 году. Статистические материалы. М.: Минздрав России, 2018; 183 с. [Polikarpov A.V., Aleksandrova G.A., Golubev N.A. et al. The incidence of the population is older than working age in Russia in 2017. Statistical materials. M.: Minzdrav Rossii, 2018; 183 p. (in Russ.)].
  11. Александрова Г.А., Голубев Н.А., Тюрина Е.М. и др. Заболеваемость взрослого населения России в 2019 году. Статистические материалы. М.: Минздрав России, 2020; 160 c. [Aleksandrova G.A., Golubev N.A., Tjurina E.M. et al. The incidence of adult population of Russia in 2019. Statistical materials. M.: Minzdrav Rossii, 2020; 160 p. (in Russ.)].
  12. Александрова Г.А., Голубев Н.А., Тюрина Е.М. и др. Заболеваемость населения старше трудоспособного возраста по России в 2019 году. Статистические материалы. М.: Минздрав России, 2020; 183 c. [Aleksandrova G.A., Golubev N.A., Tjurina E.M. et al. The incidence of the population is older than working age in Russia in 2019. Statistical materials. M.: Minzdrav Rossii, 2020; 183 p. (in Russ.)].
  13. Прилипко Н.С., Бантьева М.Н., Руголь М.Н. Анализ повозрастной заболеваемости взрослого населения России как этап определения его нуждаемости в медицинской реабилитации. Вестник восстановительной медицины. 2013; 12 (2): 2–9 [Prilipko N.S., Bant’eva M.N., Rugol’ L.V. Analysis of the age-specific incidence of the adult population of russia as a step of determining the need for medical rehabilitation. Bulletin of Rehabilitation Medicine. 2013; 12 (2): 2–9 (in Russ.)].
  14. Торгашов М.Н., Мякотных В.С. Стресс-индуцированная патология и ускоренное старение. Успехи геронтологии. 2019; 32 (4): 492–501 [Torgashov M.N., Myakotnykh V.S. Stress-induced pathology and accelerated aging. Adv Gerontol. 2019; 32 (4): 492–501 (In Russ.)].
  15. Franceschi C., Bonafe M., Valentin S. et al. Inflammaging. An evolutionary perspective on immunosenescence. Ann N Y Acad Sci. 2000; 908: 244–54. DOI: 10.1111/j.1749-6632.2000.tb06651.x
  16. Xia S., Zhang X., Zheng S. et al. An Update on Inflamm-Aging: Mechanisms, Prevention, and Treatment. J Immunol Res. 2016; 8: 1–8. DOI: 10.1155/2016/8426874
  17. Климонтов В.В., Тян Н.В., Шевченко А.В. и др. Полиморфизмы промоторов генов IL4, IL6, IL10 и TNFα взаимосвязаны с уровнем цитокинов в сыворотке крови у больных сахарным диабетом 2-го типа. Цитокины и воспаление. 2016; 2: 186–91 [Klimontov V.V., Tyan N.V., Shevchenko A.V. et al. Polymorphisms IN IL4, IL6, IL10 and TNFα gene promoters are related to serum levels of cytokines in type 2 diabetic patients. Cytokines and Inflammation. 2016; 2: 186–91 (in Russ.)].
  18. Bruunsgaard H., Ladelund S., Pedersen A.N. et al. Predicting death from tumor necrosis factor-alpha and interleukin-6 in 80-year-old people. Clin Exp Immunol. 2003; 132: 24–31. DOI: 10.1046/j.1365-2249.2003.02137.x
  19. Bianchi V.E. Role of nutrition on anemia in elderly. Clin Nutr ESPEN. 2016; 11: 1–11. DOI: 10.1016/j.clnesp.2015.09.003
  20. Weiss A., Beloosesky Y., Gingold-Belfer R. et al. Association of Anemia with Dementia and Cognitive Decline among Community-Dwelling Elderly. Gerontology. 2022; 68 (12): 1375–83. DOI: 10.1159/000522500
  21. Калининская А.А., Васильев М.Д., Лазарев А.В. и др. Анализ заболеваемости населения старше трудоспособного возраста в Российской Федерации и ее региональные особенности. Менеджер здравоохранения. 2023; 2: 59–67 [Kalininskaya A.A., Vasiliev M.D., Lazarev A.V. et al. Analysis of the incidence of the population older than working age in the Russian Federation and its regional features. Manager Zdravoohranenia. 2023; 2: 59–67 (in Russ.)] DOI: 10.21045/1811-0185-2023-2-59-67
  22. Liu Y., Zeng Y., Lu J. et al. Correlation of hemoglobin with osteoporosis in elderly Chinese population: A cross-sectional study. Front Public Health. 2023; 11: 1073968. DOI: 10.3389/fpubh.2023.1073968
  23. Elvira-Hurtado L., López-Cuenca I., de Hoz R. et al. Alzheimer's disease: a continuum with visual involvements. Front Psychol. 2023; 14: 1124830. DOI: 10.3389/fpsyg.2023.1124830