TRACE ELEMENTS IN MEDICINE (MOSCOW)
2015. 16(2): 18-27
ORIGINAL PAPERS

ENERGY METABOLISM OF THE BRAINAND METAL-LIGAND HOMEOSTASIS IN THE ETIOPATHOGENESIS OF ISCHEMIC STROKE

L.L. Klimenko1, A.V. Skalny 2, A.A. Turna3, M.S. Savostina4, A.N. Mazilinа4, I.S. Baskakov1, M.N. Budanova1

1 N.N. Semenov Institute of Chemical Physics at Russian Academy of Sciences, Kosygina str. 4, Moscow, 117334, Russia
2 ANO Centre for Biotic Medicine, Zemlyanoi val 46, Moscow 105064, Russia
3 Institute of Professional Development at FMBA of Russia, Volokolamskoe shosse 91, Moscow, 125371, Russia
4 Hospital № 123 at FMBA of Russia, Krasnogorskoe shosse 15, Odintsovo, Moscow region, 143000, Russia

DOI: 10.19112/2413-6174-2015-16-2-18-27 

ABSTRACT. A comprehensive multifactorial clinical study of ischemic stroke etiopathogenesis was conducted. Using a non-invasive method of recording DC-potential capacity of the brain, in 96 patients (44 women and 51 men, average age 61.3 years) with a diagnosed ischemic stroke the dynamics of cerebral energy exchange at different stages of the ischemic cascade was determined. At the same time, concentration of 25 main macro and trace elements in blood serum of the patients was determined using emission spectrometry, and concentration of neurospecific proteins (S100, NR2 antibodies and VEGF antibodies) was determined by enzyme-linked immunosorbent assay (ELISA). It was found that early stages of stroke characterized by a 40–50% decrease in energy metabolism not only in the focus but also in other cerebral zones, while at next stages the energy metabolism rises by 50–70% with equalization of brain potentials at all leads, which is a unfavorable prognostic sign. KruskalWallis ANOVA showed a significant difference in the concentration of macro elements, trace elements and neurospecific proteins at different DC-potential values. Correlation analysis revealed significant association between indices of cerebral energy exchange, concentration of macro elements, trace elements and neurospecific proteins, suggesting the possibility of using these parameters as biomarkers of cerebral ischemia in order to ensure maximum safety of brain tissue at cerebral dyscirculatory disorders.

KEYWORDS: ischemic stroke, brain, energy metabolism, DC-potential, trace elements.