Features of the HRV, endocrine and metabolic parameters in persons whose immune status is susceptible or resistant to chronic stress
KeywordsChronic Stress, Immunity, HRV, Hormones, Metabolism.
Background. In the previous studies, we compared the individuals who were almost identical to the average value of LF/HF ratio and its dispersion, but with opposite deviations from the norm of immunity. Two profiles of EEG have been created that reflect the differences between the two clusters. The first profile contains the parameters that in stress-sensitive individuals are in the zone of narrowed norm, whereas in stress-resistant individuals they are to some degree elevated, or at least exceed those in stress-sensitive individuals. The second profile contains EEG parameters, each of which in stress-resistant individuals is lower than that of stress-sensitive individuals. The purpose of this study is to clarify the features of the HRV, endocrine and metabolic parameters in persons whose immune status is susceptible or resistant to chronic stress. Materials and Methods. The object of observation were 32 men and 8 women with chronic pyelonephritis in remission. The criterion for inclusion was the magnitude of the sympathico-vagal balance index LF/HF which exceeded the age norm by 0,5 σ. We determined spectral parameters of HRV, plasma levels of principal adaptation Hormones, plasma and daily urine levels of the Electrolytes and Nitrous metabolites as well as plasma Lipoproteines spectrum. Results. Discriminant analysis revealed that Testosterone is the main factor that conditioning the sensitivity of immune status to sympathotonic shift in autonomic regulation in chronic stress. Sensitizing (immunosuppressive) factors are also Ca/K-ratio of plasma and total Cholesterol, instead LD LP Cholesterol, Creatininuria, P/Ca-ratio of urine, spectral power of VLF band HRV as well as entropy of HRV are desensitizing (immunoprotective) factors. Conclusion. The susceptibility or resistance of the immune status to the stress sympathotonic shift of autonomic regulation is conditioned by the combination of EEG, HRV, endocrine and metabolic parameters.
Baevskiy RM, Ivanov GG. Heart Rate Variability: theoretical aspects and possibilities of clinical application [in Russian]. Ultrazvukovaya i funktsionalnaya diagnostika. 2001; 3: 106-127.
Barylyak LG, Tsymbryla VV, Zukow W, Popovych IL. Relationships between parameters of plasma lipoproteines profile and heart rate variability. Journal of Education, Health and Sport. 2019; 9(12): 238-253.
Berntson GG, Bigger JT jr, Eckberg DL, Grossman P, Kaufman PG, Malik M, Nagaraja HN, Porges SW, Saul JP, Stone PH, Van der Molen MW. Heart Rate Variability: Origines, methods, and interpretive caveats. Psychophysiology. 1997; 34: 623-648.
Fajda OI, Drach OV, Barylyak LG, Zukow W. Relationships between Ca/K plasma ratio and parameters of Heart Rate Variability at patients with diathesis urica. Journal of Education, Health and Sport. 2016; 6(1): 295-301.
Goryachkovskiy АМ. Clinical Biochemistry [in Russian]. Odesa: Astroprint; 1998: 608 p.
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.
Heart Rate Variability. Standards of Measurement, Physiological Interpretation, and Clinical Use. Task Force of ESC and NASPE. Circulation. 1996; 93(5): 1043-1065.
Hiller G. Test for the quantitative determination of HDL cholesterol in EDTA plasma with Reflotron®. Klin Chem. 1987; 33: 895-898.
Hrytsak YaL, Barylyak LG, Zukow W, Popovych IL. Cluster analysis of hormonal constellation at women and men with harmonious and disharmonious general adaptation reactions. Journal of Education, Health and Sport. 2016; 6(4): 141-150.
Ivassivka SV, Popovych IL, Aksentiychuk BI, Flyunt IS. Physiological Activity of Uric Acid and its Role in the Mechanism of Action of Naftussya Water [in Ukrainian]. Kyiv. Computerpress; 2004: 163 p.
Khmelevskyi YV, Usatenko OK. Basic Biochemical Constants of Humans at Norm and at Pathology [in Russian]. Kyiv. Zdorovya; 1987: 160 p.
Klecka WR. Discriminant Analysis [trans. from English to Russian] (Seventh Printing, 1986). In: Factor, Discriminant and Cluster Analysis. Moskva: Finansy i Statistika; 1989: 78-138.
Korkushko OV, Pysaruk AV, Shatylo VB. The value of heart rate variability analysis in cardiology: age aspects [in Russian]. Circulation and Hemostase. 2009; 1-2: 127-139.
Kotelnikov SA, Nozdrachov AD, Odinak MM, Shustov EB, Kovalenko IYu, Davidenko VYu. Heart rate variability: understanding of the mechanisms [in Russian]. Fiziologiya cheloveka. 2002; 28(1): 130-143.
Lukyanchenko OI, Gozhenko OA, Mel’nyk OI, Zukow W, Popovych IL. Features of the immune profile and microbiota in persons whose immune status is susceptible or resistant to chronic stress. Journal of Education, Health and Sport. 2019; 9(3): 601-611.
Mel’nyk OI, Lukyanchenko OI, Gozhenko OA, Popovych IL. Features of the parameters of EEG in persons whose immune status is susceptible or resistant to chronic stress. Experimental and Clinical Physiology and Biochemistry. 2019; 2(86): 11-23.
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.
How to Cite
LicenseThe periodical offers access to content in the Open Access system under the Creative Commons non-exclusive license (CC BY-ND 4.0).
Number of views and downloads: 30
Number of citations: 0