Causal relationships between the parameters of gas discharge visualization and immunity
DOI:
https://doi.org/10.12775/PPS.2021.07.01.008Keywords
Gas Discharge Visualization, Cellular and Humoral Immunity, Relationships.Abstract
Background. Earlier, we found a close canonical correlation between parameters of gas discharge visualization (GDV) and principal neuroendocrine factors of adaptation. The purpose of this study is to elucidate the relationship between GDV and immunity parameters. Material and research methods. We observed twice 10 women and 10 men aged 33-76 years without clinical diagnose. In the morning in basal conditions at first registered kirlianogram by the method of GDV by the device “GDV Chamber” (“Biotechprogress”, SPb, RF). For further analysis the following parameters were selected: Area, Shape Coefficient as ratio Square Length of outward contour gas discharge image to its Area as well as Entropy of contour in Right, Frontal and Left projections registered both with and without polyethylene filter. Estimated also Energy and Asymmetry of virtual Chakras. Then registered routine parameters of cellular and humoral Immunity. Results processed by method of canonical analysis, using the software package “Statistica 5.5”. Results. According to the value of the canonical correlation coefficient R with GDV parameters, the immunity parameters are arranged in the following order: IgA (0,716; p=0,005), CD8+CD3+ Tc-lymphocytes (0,646; p=0,004), IgG (0,645; p=0,002), IgM (0,622; p=0,0001), “active” T-lymphocytes (0,572; p=0,007), CD4+CD3+ Th-lymphocytes (0,566; p=0,003), CIC (0,491; p=0,018), 0-lymphocytes (0,457; p=0,036), CD16+ NK-lymphocytes (0,396; p=0,043), CD22+ B-lymphocytes (0,439; p=0,105). The integral canonical correlation between the parameters of GDV and Immunity was very strong (R=0,994; p<10-4). Conclusion. Between parameters of Immunity and parameters of GDV exist strong canonical correlation suggesting relevance and informativenes this method.References
Babelyuk VYe. The parameters of gas discharge visualization (kirlianogram) appropriately associated with some psychophysiological and endocrine parameters of healthy men. Medical Hydrology and Rehabilitation. 2013; 11(1): 21-30.
Babelyuk VYe, Dubkova GI, Korolyshyn TA, Zukow W, Popovych IL. The correlationships between parameters of gas discharge visualization and principal neuroendocrine factors of adaptation. In: Pathophysiology and Pharmacy: ways of integration. Abstracts VII National Congress of Pathophysiologists Ukraine with international participation (5-7 October 2016). Kharkiv. NPhU; 2016: 8-8.
Babelyuk VYe, Dubkowa GI, Korolyshyn TA, Holubinka SM, Dobrovolsky YG, Zukow W, Popovych IL. Operator of Kyokushin Karate via Kates increases synaptic efficacy in the rat Hippocampus, decreases C3-θ-rhythm SPD and HRV Vagal markers, increases virtual Chakras Energy in the healthy humans as well as luminosity of distilled water in vitro. Preliminary communication. Journal of Physical Education and Sport. 2017; 17(1): 383-393.
Babelyuk VE, Gozhenko AI, Dubkova GI, Babelyuk NV, Zukow W, Kovbasnyuk MM, Popovych IL. Causal relationships between the parameters of gas discharge visualization and principal neuroendocrine factors of adaptation. Journal of Physical Education and Sport. 2017; 17(2): 624-637.
Babelyuk VY, Dubkova HI, Korolyshyn TA, Mysula IR, Popovych DV, Popovych IL, Zukow W. Relationships between caused by Kozyavkin© method changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy. Journal of Education, Health and Sport. 2018; 8(4): 159-194.
Babelyuk VYe, Popadynets’ OO, Dubkova GI, Zukow W, Muszkieta R, Gozhenko OA, Popovych IL. Entropy of gas-discharge image correlates with the entropies of EEG, immunocytogram and leukocytogram but not HRV. Pedagogy and Psychology of Sport. 2020; 6(2): 30-39.
Babelyuk VYe, Popovych IL, Babelyuk NV, Korolyshyn TA, Dubkova GI, Kovbasnyuk MM, Hubyts’kyi VYo, Kikhtan VV, Musiyenko VYu, Kyrylenko IG, Dobrovolsky YG, Korsuns’kyi IH, Muszkieta R, Zukow W, Gozhenko AI. Perspectives on the use of electrostimulation with the device “VEB”® in the management of disorders related to COVID-19. Balneo Research Journal. 2020; 11(3): 328-343.
Chase CR. The Geometry of Emotions: Using Chakra Acupuncture and 5-Phase Theory to Describe Personality Archetypes for Clinical Use. Med Acupunct. 2018; 30(4): 167-178.
Csaba G. The Immunoendocrine Thymus as a Pacemaker of Lifespan. Acta Microbiol Immunol Hung. 2016; 63(2): 139-158.
Gozhenko AI, Sydoruk NO, Babelyuk VYe, Dubkowa GI, Flyunt VR, Hubyts’kyi VYo, Zukow W, Barylyak LG, Popovych IL. Modulating effects of bioactive water Naftussya from layers Truskavets’ and Pomyarky on some metabolic and biophysic parameters at humans with dysfunction of neuro-endocrine-immune complex. Journal of Education, Health and Sport. 2016; 6(12): 826-842.
Kindzer BM, Babelyuk VY, Babelyuk NV, Popovych IL, Dubkova GI, Dobrovolsky YG, Korsuns’kyi IH, Korolyshyn TA, Litosh S, Kindzer H, Zukow W. The device for electrostimulation "VEB-1" modulates parameters of electroencephalogram and gas discharge visualization. Science and society. Proc. of the 11th internat. confer. Acent Grafics Communications and Publishing. Hamilton, Canada. 2019: 159-171.
Korotkov KG. Basics GDV Bioelectrography [in Russian]. SPb. SPbGITMO(TU); 2001: 360 p.
Korotkov KG. Principles of Analysis in GDV Bioelectrography [in Russian]. SPb. Renome; 2007: 286 p.
Korotkov KG. Energy Fields Electrophotonic Analysis in Humans and Nature. Second updated edition. Translated from Russian by the author. Edoted by Berney Williams and Lutz Rabe. 2014: 233 p.
Kozyavkina OV, Kozyavkina NV, Voloshyn ТB, Hordiyevych МS, Lysovych VI, Babelyuk VY, Dubkova HI, Korolyshyn TA, Mysula IR, Popovych DV, Zukow W, Popovych IL. Caused by Kozyavkin© method changes in hand function parameters in children with spastic form of cerebral palsy and their EEGs, HRVs and GDVs accompaniments. Journal of Education, Health and Sport. 2018; 8(10): 11-30.
Kozyavkina OV, Kozyavkina NV, Hordiyevych МS, Voloshyn ТB, Lysovych VI, Babelyuk VY, Dubkova HI, Korolyshyn TA, Popovych DV, Mysula IR, Zukow W, Popovych IL. Forecasting caused by Kozyavkin© method changes in hand function parameters in children with spastic form of cerebral palsy at their baseline levels as well as EEGs, HRVs and GDVs. Achivements of Clinical and Experimental Medicine. 2018; 4: 17-35.
Lapovets’ LYe, Lutsyk BD. Laboratory Immunology [in Ukrainian]. Kyїv. 2004: 173 p.
Markus RP, Ferreira ZS, Fernandes PA, Cecon E. The immune-pineal axis: a shuttle between endocrine and paracrine melatonin sources. Neuroimmunomodulation. 2007; 14(3-4): 126-133.
Markus RP, Fernandes PA, Kinker GS, da Silveira Cruz-Machado S, Marçola M. Immune-pineal axis - acute inflammatory responses coordinate melatonin synthesis by pinealocytes and phagocytes. Br J Pharmacol. 2018; 175(16): 3239-3250.
Marques-Deak A, Cizza G, Sternberg E. Brain-immune interactions and disease susceptibility. Mol Psychiatry. 2005; 10(3): 239-250.
Muehsam D, Chevalier G, Barsotti T, Gurfein BT. An Overview of Biofield Devices. Glob Adv Health Med. 2015; 4(Suppl): 42-51.
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, Babelyuk VYe, Dubkova GI. Relations between the parameters bioelectrography (kirlianography) and heart rate variability and blood pressure [in Ukrainian]. Medical Hydrology and Rehabilitation. 2010; 8(1): 4-16.
Popovych IL, Babelyuk VY, Dubkova HI, Korolyshyn TA, Zukow W. Relationships between changes in parameters of manual function and electroencephalogram, heart rate variability as well as gas discharge visualization in children with spastic form of cerebral palsy caused by Kozyavkin© method. Experimental and Clinical Physiology and Biochemistry. 2018; 1(81): 39-50.
Popovych IL, Babelyuk VYe, Zukow W, Muszkieta R, Dubkova GI, Nesterova LF, Hubyts’kyi VY, Bilas VR, Musienko VY, Seniv TS, Mis’ko VT, Babylyuk RV, Yaremchuk YM, Barylyak LG, Zukow W, Gozhenko AI. Liturgy affects the parameters of gas discharge visualization, acupuncture points and neuro-endocrine-immune complex. Pedagogy and Psychology of Sport. 2020; 6(2): 61-73.
Popovych IL, Gozhenko AI, Zukow W, Polovynko IS. Variety of Immune Responses to Chronic Stress and their Neuro-Endocrine Accompaniment. Scholars' Press. Riga; 2020: 172 p.
Puchko LG. Multidimensional Medicine. Systen of Self-diagnosis and Self-healing of Human [in Russian]. 10th ed., rev. and ext. Мoskva: ANS, 2004. 432 p.
Rezzani R, Franco C, Hardeland R, Rodella LF. Thymus-Pineal Gland Axis: Revisiting Its Role in Human Life and Ageing. Int J Mol Sci. 2020; 21(22): 8806.
Shannon CE. Works on the theory of informatics and cybernetics [transl. from English to Russian]. Moskva. Inostrannaya literatura; 1963: 329 p.
Sternberg EM. Neural regulation of innate immunity: a coordinated nonspecific host response to pathogens. Nat Rev Immunol. 2006; 6(4): 318-328.
Thayer JF, Sternberg EM. Neural aspects of immunomodulation: Focus on the vagus nerve. Brain Behav Immun. 2010; 24(8): 1223-1228.
Tracey KJ. Reflex control of immunity. Nat Rev Immunol. 2009; 9(6): 418-428.
Uchakin PN, Uchakina ON, Tobin BV, Ershov FI. Neuroendocrine immunomodulation [in Russian]. Vestnik Ross AMN. 2007; 9: 26-32.
Downloads
Published
How to Cite
Issue
Section
License
The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0
Stats
Number of views and downloads: 511
Number of citations: 0