ISSN 2415-3060 (print), ISSN 2522-4972 (online)
  • 31 of 39
УЖМБС 2021, 6(2): 227–235

Peculiarities of Evaluation of Biological Effects of the Influence of Electromagnetic Radiation in Conditions of Reduced Temperature (Experiment)

Litovchenko O. 1, Perova I. 2

In modern conditions there is a high need to improve methods for establishing the nature of the combined influence of factors using modern approaches for further development of prevention measures against the negative impact of factors on the body. The purpose of the study was to investigate the combined effect of electromagnetic radiation and low temperatures with subsequent determination of the level of contribution of each factor in the formation of biological effects within the experiment by mathematical analysis of data using the method of artificial intelligence. Materials and methods. The subchronic experiment (30 days) was performed on male rats. The animals were divided into groups: combined exposure to electromagnetic radiation (70 kHz, 600 V/m) and reduced temperature (40C), isolated exposure to reduced temperature, isolated exposure to electromagnetic radiation and a control group. The establishment of biological effects was performed at stages 5, 15 and 30 days of the experiment. Changes in the body were assessed by physiological, biochemical and immunological parameters of the blood (30 indicators). Data processing was performed using computational intelligence methods (Neuro-fuzzy system). Results and discussion. The combined effect of the factors was manifested by the following biological effects: intensification of peroxidation processes with simultaneous moderate suppression of antioxidant protection, intensification of lipid metabolism was characterized by dyslipoproteinemia, manifesting in: increase in triglycerides, cholesterol and its fractions. Changes of the immune system were decrease in the ability of neutrophils to phagocytosis at different stages of the experiment, imbalance of the activation of the system of reducing the concentration of C4 at the background of increased intensity of IgM and IgG synthesis. The method of determining the intensity of the factors, developed on the basis of factor and cluster analysis, allowed to determine that during the experiment the ratios between the factors changed, but the greatest contribution was made by reduced temperature by both biochemical parameters (63%) and immunological (53%) at the same time, the level of electromagnetic radiation contribution was 37% and 47%, respectively. Thus, the reduced temperature was the leading factor in the combined effect, which added 60% to the overall biological effect throughout the study, against the effect of electromagnetic radiation for which the level of contribution was only 40%. By means of the factor analysis informative indicators, making it possible to establish the characteristics of biological effects, and therefore leading indicators in formation of biological effects were the increase in concentration of DC with simultaneous decrease in concentration of SH-groups, increase in VLDL and suppression of oxygen-dependent metabolism of neutrophil-test. Conclusion. Thus, the tested mathematical approach allowed to determine the leading role of each of the studied factors under the conditions of their combined influence in different systems, which allows to predict probable appropriate reactions of the whole organism and gives a reasonable approach to the development of preventive measures

Keywords: electromagnetic radiation, low temperature, redox homeostasis, lipid metabolism, immunological state, mineral metabolism, rats, Fuzzy-c-means

Full text: PDF (Ukr) 308K

  1. Kalmakova ZhA. Rol otsenky kompensatorno-prysposobytelnykh reaktsyy organyzma cheloveka na vozdeystvye faktorov okruzhayushchey sredy [The role of the assessment of compensatory-adaptive reactions of the human body to the impact of environmental factors]. International Journal of Experimental Education. 2020; 8: 322-323. [Russian]
  2. Ripple WJ, Wolf Ch, Newsome ThM, Barnard Ph, Moomaw WR. World Scientists' Warning of a Climate Emergency. BioScience. 2020; 70(1): 8-12.
  3. Vasilyev A, Zabolotskikh V, Vasilyev V. Development of Methods for the Estimation of Impact of Physical Factors on the Health of Population. Safety of Technogenic Environment. 2020; 4: 42-45.
  4. Park B. Cooling the Skin: Understanding a Specific Cutaneous Thermosensation. J Lifestyle Med. 2013; 3(2): 91-97.
  5. Bakshaeva M. Vlyyanye ymmobylyzatsyonnogo stressa y elektromagnytnogo yzluchenyya promyshlennoy chastoty na povedenye y funktsyonalnuyu aktyvnost yzolyrovannogo serdtsa krys [The effect of immobilization stress and electromagnetic radiation of industrial frequency on behavior and functional activity of the isolated heart of rats]. Žmogaus ir gamtos sauga, ASU. 2018; 2018: 33-36. [Russian]
  6. Sheikh M, Poustchi H, Pourshams A, Etemadi A, Islami F, Khoshnia M, et al. Individual and Combined Effects of Environmental Risk Factors for Esophageal Cancer Based on Results From the Golestan Cohort Study. Gastroenterology. 2019; 156(5): 1416-1427. PMID: 30611753. PMCID: PMC7507680.
  7. Kostoff RN, Clifford GYL. Combined biological and health effects of electromagnetic fields and other agents in the published literature. Technological Forecasting and Social Change. 2013; 80: 1331-1349. doi: 10.1016/j.techfore.2012.12.006
  8. Perova I, Litovchenko O, Zavgorodnii I, Brazhnykova Y, Kovalenko A. A Mathematical Analysis of Immunological Indicator of Biological Objects under Influence of Low-Frequency Electromagnetic Radiation in Conditions of Cold Stress. IEEE Ukrainian Microwave Week (UkrMW), Ukraine, 2020. 2020: 594-598.
  9. Patent 83559 Ukraine, MPK B01L 1/00, B01L 5/00. Zatravochna kamera [Poisoning chamber] / Zavgorodnii I, Miasoevov V, Vekshin V, Bachinskiy R, Teslenko O, Pertsev D, Nikulina GL. (UA); zayavnik i vlasnik patentu Kharkiv National Medical University (UA). № u201305791; zayavl 7.05.13 ; opubl 10.09.13. Byul № 17. [Ukrainian]
  10. Perova I, Litovchenko O, Bodvanskiy Y, Brazhnykova Y, Zavgorodnii I, Mulesa P. Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects. IEEE Second International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine; 2018. 2018: 3-6.
  11. Vasilyev A. Method and Approaches to the Estimation of Ecological Risks of Urban Territories. Safety of Technogenic Environment. 2014; 6: 43-46.
  12. Perova І, Bodyanskiy Ye. Adaptive Human Machine Interaction Approach for Feature Selection-Extraction Task in Medical Data Mining. Int J Comp. 2018; 17(2): 113-119.
  13. Zhu YC, Yocom E, Sifers J, Uradu H, Cooper RL. Modulatory effects on Drosophila larva hearts: room temperature, acute and chronic cold stress. J Comp Physiol B. 2016 Oct; 186(7): 829-41. PMID: 27209390.
  14. Bhat SA, Bhushan B, Sheikh SA, Chandrasekar T, Godara AS, Bharti P, et al. Effect of infrared lamps to ameliorate cold stress in Vrindavani calves. Vet World. 2015 Jun; 8(6): 777-82. PMID: 27065647. PMCID: PMC4825282.
  15. Alves-Bezerra M, Cohen DE. Triglyceride Metabolism in the Liver. Compr Physiol. 2017; 8(1): 1-8. PMID: 29357123. PMCID: PMC6376873.
  16. Zhang T, Chen J, Tang X, Luo Q, Xu D, Yu B. Interaction between adipocytes and high-density lipoprotein:new insights into the mechanism of obesity-induced dyslipidemia and atherosclerosis. Lipids Health Dis. 2019 Dec 16; 18(1): 223. PMID: 31842884. PMCID: PMC6913018. doi: 10.1186/s12944-019-1170-9
  17. Chen BJ, Niu CJ, Yuan L. Ascorbic acid regulation in stress responses during acute cold exposure and following recovery in juvenile Chinese soft-shelled turtle (Pelodiscus sinensis). Comp Biochem Physiol A Mol Integr Physiol. 2015 Jun; 184: 20-6. PMID: 25645296.
  18. Takeuchi O, Akira S. Pattern recognition receptors and inflammation. Cell. 2010; 140(6): 805-820. PMID: 20303872.
  19. Janeway CA Jr, Travers P, Walport M, et al. Immunobiology: The Immune System in Health and Disease. Principles of innate and adaptive immunity. 5th edition. NY: Garland Science; 2001. Available from: