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ECPB 2019, 87(3): 12–22
https://doi.org/10.25040/ecpb2019.03.012
Research articles

Factor analysis of the information field of the neuroendocrine-immune complex and metabolism in female rats

Y.V. ZAVIDNYUK 1,2, O.I. MEL’NYK 3, O.G. MYSAKOVETS’ 3
Abstract

Introduction. Despite considerable informativeness, factor analysis in biomedical research is still rarely used. Therefore, we set out to introduce our colleagues to the theoretical foundations of factor analysis and to demonstrate its application in our own material.

Material and methods. The study subjects were 58 healthy female Wistar rats 240-290 g, 10 of which were intact and the others were subjected to water-salt loading for 6 days.The day after the completion of the drinking course in all rats, at first, a sample of peripheral blood was taken for leukocytogram analysis. Then they assessed the state of autonomous regulation by the parameters of the HRV. Animals were then placed in individual chambers for collecting daily urine. The experiment was completed by decapitation of rats in order to collect as much blood as possible.The plasma levels of the hormones of adaptation were determined: corticosterone, triiodothyronine and testosterone as well as electrolytes: calcium, magnesium, phosphates, chloride, sodium and potassium (both in plasma and in erythrocytes); nitric metabolites: creatinine, urea, uric acid, medium molecular polypeptides, bilirubin; lipid peroxidation products: diene conjugates and malonic dyaldehide, antioxidant enzymes: superoxide dismutase erythrocytes and catalase plasma, as well as amylase and glucose. Most of the listed parameters of metabolism were also determined in daily urine. In addition, the osmolarity of the urine was measured. According to the parameters of electrolyte exchange, hormonal activity was evaluated: parathyroid, calcitonin and mineralocorticoid.In the blood, the parameters of immunity were determined according to the tests of the 1st and 2nd levels of the WHO. The spleen, thymus and adrenal glands were removed. Immune organs weighed and made smears-imprints for counting splenocytogram and thymocytogram. For them, as well as leukocytogram, Shannon’s entropy was calculated. In the adrenal glands after weighing, the thickness of glomerular, fascicular and reticular zones was measured. Factor analysis (principal component method) was implemented with the program Statistica 5.5.

Results. It was found that the dispersion of the information field of 106 parameters of the neuro-endocrine-immune complex and metabolism is absorbed by 20 principal component (PCs). Using the Cattel method, the number of PCs analyzed is limited to twelve, the total contribution of which to the total variance of the raw data is 66,2%, ie, it reaches the required critical level (2/3).

We have found that there is a general pattern – the combination of neuro-endocrine and immune parameters in 8 individual PCs, which, in our material, illustrates the correctness of the concept of a triple neuroendocrine-immune complex, the elements of which carry out bilateral interaction. On the other hand, in 10 PCs, neuro-endocrine and/or immune parameters are combined with metabolism parameters. The cause/effect relationships between them will be the subject of a subsequent study.

Received: 09.09.2019

Keywords: neuroendocrine-immune complex, metabolism, factor analysis, female rats

Full text: PDF (Eng) 627K

References
  1. 1. Kim JO, Mueller Ch W. Factor analysis: statistical methods and practical issues [trans. from English in Russian] (elevent printing, 1986). In: Factor, Discriminant and Cluster Analysis. Moskwa: Finansy i Statistika; 1989: 5-77.
  2. 2. Zavidnyuk YV, Mysula IR, Klishch IM, Zukow W, Popovych IL, Korda MM. General non-specific metabolic, neuroendocrine and immune reactions to various water-salt loads in female rats. Journal of Education, Health and Sport. 2018;8(3):513-24.
  3. 3. Zavidnyuk YV. Features of metabolic reactions to various water-salt loads in female rats. Experimental and Clinical Physiology and Biochemistry. 2018;2(82):21-30. doi.org/10.25040/ecpb2018.02.021
  4. 4. Baevskiy RM, Kirillov OI, Kletskin SZ. Mathematical Analysis of Changes in Heart Rate by Stress [in Russian]. Moskva: Nauka; 1984: 221 p.
  5. 5. Instructions for the use of a set of reagents for the enzyme-linked immunosorbent assay in human serum. St. Petersburg: Alkor Bio CJSC; 2000: 50 p.
  6. 6. Goryachkovskiy АМ. Clinical Biochemistry [in Russian]. Odesa: Astroprint; 1998: 608 p.
  7. 7. Popovych IL. Factor and canonical analysis parameters of neuro-endocrine-immune complex, metabolism and erosive and ulcerative injuries of stomach mucosa in rats under acute water-immersion stress [in Ukrainian]. Medical Hydrology and Rehabilitation. 2007;5(2):68-80.
  8. 8. Popovych IL. Functional interactions between neuroendocrine-immune complex in males rats [in Ukrainian]. Achievements of Clinical and Experimental Medicine. 2008;2(9):80-7.
  9. 9. Lapovets' LYe, Lutsyk BD. Handbook of Laboratory Immunology [in Ukrainian]. Lviv; 2002: 173 p.
  10. 10. Jondal M, Holm G, Wigzell H. Surface markers on human T and B lymphocytes. I. A large population of lymphocytes forming nonimmune rosettes with sheep red blood cells. J Exp Med. 1972;136(2):207-15. doi.org/10.1084/jem.136.2.207
  11. 11. Limatibul S, Shore A, Dosch HM, Gelfand EW. Theophylline modulation of E-rosette formation: an indicator of T-cell maturation. Clin Exp Immunol. 1978;33(3):503-13.
  12. 12. BiancoC.Populationoflymphocytesbearingamembranereceptorforantigen-antibody complex. J Exp Med. 1970; 134(4): 702-20.
  13. 13. Bilas VR, Popovych IL. Role of microflora and organic substances of water Naftussya in its modulating influence on neuroendocrine-immune complex and metabolism [in Ukrainian]. Medical Hydrology and Rehabilitation. 2009;7(1):68-102.
  14. 14. Douglas SD, Quie PG. Investigation of Phagocytes in Disease. Churchil; 1981: 110 p.
  15. 15. ShannonCE.Worksonthetheoryofinformaticsandcybernetics[transl.fromEnglish to Russian]. Moskwa: Inostrannaya literatura; 1963: 329 p.
  16. 16. Yushkovs'ka OG. Using information theory to study adaptive responses in the body athletes [in Ukrainian]. Medical Rehabilitation, Kurortology, Physiotherapy. 2001;1(25):40-3.
  17. 17. Korneva EA, Shkhinek EK, Frolov BA. Neuroendocrine mechanisms of regulation of immune system functions. In: Immunophysiology / Ed Korneva EA. St-Pb: Nauka; 1993: 5-15.
  18. 18. Popovych IL. The concept of neuroendocrine-immune complex (Review) [in Russian]. Medical Hydrology and Rehabilitation. 2009;7(3):9-18.
  19. 19. Khaitov RM. Physiology of Immune System [in Russian]. Moskva: VINITI RAN; 2005: 428 p.
  20. 20. Sternberg EM. Neural regulation of innate immunity: a coordinated nonspecific host response to pathogens. Nat Rev Immunol. 2006;6(4):318-28. doi.org/10.1038/nri1810
  21. 21. UchakinPN,UchakinaON,TobinBV,ErshovFI.Neuroendocrineimmunomodulation [in Russian]. Vestnik Ross AMN. 2007;9:26-32.
  22. 22. Tracey KJ. Reflex control of immunity. Nat Rev Immunol. 2009;9(6):418-28. doi.org/10.1038/nri2566
  23. 23. Thayer JF, Sternberg EM. Neural aspects of immunomodulation: Focus on the vagus nerve. Brain Behav Immun. 2010;24(8):1223-8. doi.org/10.1016/j.bbi.2010.07.247
  24. 24. Polovynko IS, Zayats LM, Zukow W, Popovych IL. Neuro-endocrine-immune relation-ships by chronic stress at male rats. Journal of Health Sciences. 2013;3(12):365-74.
  25. 25. ZajatsLM,PolovynkoIS,ZukowW,YanchijRI,Mysakovets'OG,Mel'nykOI,Hrytsak YaL. Neuroendocrine-immune relatioships in rats females. Journal of Education, Health and Sport. 2017;7(10):59-78.
  26. 26. ChavanSS,PavlovVA,TraceyKJ.Mechanismandtherapeuticrelevanceofneuro-imune communication. Immunity. 2017;46:927-42. doi.org/10.1016/j.immuni.2017.06.008
  27. 27. Chavan SS, Tracey KJ. Essencial Neuroscience in Immunology. J Immunol. 2017;198:3389-97. doi.org/10.4049/jimmunol.1601613
  28. 28. Pavlov VA, Chavan SS, Tracey KJ. Molecular and functional neuroscience in immunity. Annu Rev Immunol. 2018;36:783-812. doi.org/10.1146/annurev-immunol-042617-053158


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