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Назва: Relationships between glomerular filtration rate and HRV/EEG parameters
Автори: Ruzhylo, Sofiya V. Ruzhylo
Popovych, Dariya V. Popovych
Duzhar, Viktor M. Duzhar
Źukow, Xawery Źukow
Zakalyak, Nataliya Zakalyak
Kovalchuk, Halyna Kovalchuk
Rohalya, Yuriy Rohalya
Masnyi, Oleg Masnyi
Ключові слова: glomerular filtration rate
HRV
qEEG
relationships
Дата публікації: 2024
Бібліографічний опис: RUZHYLO, Sofiya, POPOVYCH, Dariya, DUZHAR, Viktor, ŻUKOW, Xawery, ZAKALYAK, Nataliya, KOVALCHUK, Halyna, ROHALYA, Yuriy and MASNYI, Oleg. Relationships between glomerular filtration rate and HRV/EEG parameters. Journal of Education, Health and Sport. 2024;62:52933. eISSN 2391-8306. https://dx.doi.org/10.12775/JEHS.2024.62.52933 https://apcz.umk.pl/JEHS/article/view/52933
Короткий огляд (реферат): Background. Sympathetic outflow may be capable of selectively increasing or decreasing glomerular capillary pressure and hence glomerular filtration rate (GFR) by differentially activating separate populations of renal nerves. Sympathetic outflow to the kidney is regulated by major cortical, brainstem and medullary areas. The purpose of this study is to find out the relationship between GFR and HRV/EEG parameters as markers of the neural regulation of the kidney. Materials and Methods. The object of observations were 10 men aged 37-69 years without clinical diagnosis tested twice with 7-days interval. The rate of glomerular filtration was calculated according to endogenous сreatinine clearance and the Cockcroft & Gault formula. The state of the autonomic nervous system was assessed by the HRV method. Simultaneosly qEEG recorded. Results. For the sample as a whole, a weak (r=0.396; p>0.05) correlation was found between HRV-marker of sympathetic tone and GFR. However, two clusters of individuals can be distinguished: with a strong correlation (r=0.852; n=12) and its complete absence (n=8). The qEEG method revealed neural structures generating delta and theta rhythms that upregulate GFR, and generating beta rhythm that downregulate GFR. The regression model, which includes 16 EEG parameters, allows estimating GFR with a standard error of 3,4 mL/min. Conclusion. Glomerular filtration rate is subject to the modulatory regulatory influence of the nervous system and can be estimated with high accuracy by EEG parameters.
Опис: The renal nerves constrict the renal vasculature causing decreases in renal blood flow (RBF) and glomerular filtration rate (GFR). Whether renal hemodynamics are influenced by changes in renal nerve activity within the physiological range is a matter of debate. Denton et al [3] have identified two morphologically distinct populations of nerves within the kidney, which are differentially distributed to the renal afferent and efferent arterioles. TYPE I nerves almost exclusively innervate the afferent arteriole whereas TYPE II nerves are distributed equally on the afferent and efferent arterioles. Authors have also demonstrated that TYPE II nerves are immuno-reactive for neuropeptide Y while TYPE I nerves are not. This led them to hypothesise that in the kidney, distinct populations of nerves innervate specific effector tissues and that these nerves may be selectively activated, setting the basis for the differential neural control of GFR. In physiological studies, authors demonstrated that differential changes in glomerular capillary pressure occurred in response to graded reflex activation of the renal nerves, compatible with their hypothesis. Thus, sympathetic outflow may be capable of selectively increasing or decreasing glomerular capillary pressure and hence GFR by differentially activating separate populations of renal nerves. This has important implications for our understanding of the neural control of body fluid balance in health and disease. Sympathetic outflow to the kidney is regulated by major cortical, brainstem and medullary areas [4,8]. The purpose of this study is to find out the relationship between GFR and HRV/EEG parameters as markers of the neural regulation of the kidney.
URI (Уніфікований ідентифікатор ресурсу): http://ir.dspu.edu.ua/jspui/handle/123456789/10494
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