Varieties of the state of exchange of nitrogenous metabolites (creatinine, urea, uric acid and bilirubin) and their immune accompaniment at rats
Keywordsbilirubin, creatinine, urea, uric acid, immunity, rats.
Background. Earlier we found that even in intact rats, certain parameters of nitrogenous metabolism and immunity fluctuate in a fairly wide range, which further expands in cases of prolonged water loads. The links between the individual parameters of metabolism and immunity were revealed. Based on this, the aim of this study was to create groups that are homogeneous in the parameters of nitrogenous metabolism, followed by a search for the characteristic parameters of immunity. Material and methods. Experiment was performed on 60 healthy female Wistar rats, both intact and loaded with different mineral waters. The plasma levels and urinary excretion of the nitrogenous metabolites (creatinine, urea, uric acid and bilirubin) were determined. Immune status was assessed by thymocytogram, splenocytogram, blood leukocytogram and immunocytogram, as well as by phagocytosis parameters of blood neutrophils and monocytes. Results. The characteristic features of the members of the most numerous (29 animals) of the first cluster are moderately elevated plasma urea and upper borderline creatinineemia in combination with lower borderline uricemia. In members of the third cluster (22 animals), all seven parameters are in the range of normal. In contrast, rats of the second cluster (n=9) were found to have significantly increased levels of urea and creatinine excretion, as well as uricemia. Each cluster is accompanied by a specific constellation of immune parameters. The overall accuracy of the classification is 95%. Conclusion. The variety of states of exchange of nitrogenous metabolites is accompanied by specific constellations of immune parameters.
Aldenderfer MS, Blashfield RK. Cluster analysis (Second printing, 1985) [transl. from English in Russian]. In: Factor, Discriminant and Cluster Analysis. Moskva. Finansy i Statistika; 1989: 139-214.
Belousova OI, Fedotova MI. Comparative data on changes in spleen, thymus and bone marrow lymphocyte counts in the early post-irradiation period over a wide range of doses [in Russian]. Radiobiology-Radiotherapy. 1968; 9(3): 309-313.
Bianco C. Population of lymphocytes bearing a membrane receptor for antigen-antibody complex. J Exp Med. 1970; 134(4): 702-720.
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.
Douglas SD, Quie PG. Investigation of Phagocytes in Disease. Churchil; 1981: 110 p.
Goryachkovskiy АМ. Clinical Biochemistry [in Russian]. Odesa: Astroprint; 1998: 608 p.
Gozhenko AI, Smagliy VS, Korda IV, Badiuk NS, Zukow W, Popovych IL. Functional relationships between parameters of uric acid exchange and immunity in female rats. Actual problems of transport medicine. 2019; 4(58): 123–131.
Gozhenko AI, Zukow W, Polovynko IS, Zajats LM, Yanchij RI, Portnichenko VI, Popovych IL. Individual Immune Responses to Chronic Stress and their Neuro-Endocrine Accompaniment. RSW. UMK. Radom. Torun; 2019: 200 p.
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): 207-215.
Klecka WR. Discriminant Analysis [trans. from English in Russian] (Seventh Printing, 1986). In: Factor, Discriminant and Cluster Analysis. Moskwa. Finansy i Statistika; 1989: 78-138.
Kostyuk PG, Popovych IL, Іvassivka SV (editors). Chornobyl’, Adaptive and Defensive Systems, Rehabilitation [in Ukrainian]. Kyiv. Computerpress; 2006: 348 p.
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): 503-513.
Perederiy VG, Zemskov AM, Bychkova NG, Zemskov VM. Immune status, principles of its evaluation and correction of immune disorders [in Russian]. Kyiv. Zdorovya; 1995: 211 p.
Popadynets’ OO, Gozhenko AI, Zukow W, Popovych IL. Relationships between the entropies of EEG, HRV, immunocytogram and leukocytogram. Journal of Education, Health and Sport. 2019; 9(5): 651-666.
Popovych IL, Flyunt IS, Alyeksyeyev OI, Barylyak LG, Bilas VR. Sanogenetic Bases of Rehabilitation on Spa Truskavets’ Urological Patients from Chornobylian Contingent [in Ukrainian]. Kyiv. Computerpress; 2003: 192 p.
Popovych IL, Gozhenko AI, Kuchma IL, Zukow W, Bilas VR, Kovalchuk GY, Ivasivka AS. Immunotropic effects of so-called slag metabolites (creatinine, urea, uric acid and bilirubin) at rats. Journal of Education, Health and Sport. 2020; 10(11): 320-336.
Shannon CE. A mathematical theory of information. Bell Syst Tech J. 1948; 27: 379–423.
Smagliy VS, Gozhenko AI, Korda IV, Badiuk NS, Zukow W, Kovbasnyuk MM, Popovych IL. Variants of uric acid metabolism and their immune and microbiota accompaniments in patients with neuroendocrine-immune complex dysfunction. Actual problems of transport medicine. 2020; 1(59): 114–125.
How to Cite
The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
Number of views and downloads: 165
Number of citations: 0