Optimization of prediction of morphological disorders of skeletal muscles in experimental acute ischemia-reperfusion on the basis of combined changes in lipid peroxidation and antioxidant protection by neural network clustering

Autor: P. R. Selskyy, A. T. Televiak, R. S. Vastyanov, I. M. Klishch, A. S. Volska, B. P. Selskyy, Kh. B. Kurylo
Rok vydání: 2020
Předmět:
Zdroj: Journal of Education, Health and Sport, Vol 10, Iss 7, Pp 304-317 (2020)
ISSN: 2391-8306
DOI: 10.12775/jehs.2020.10.07.033
Popis: Selskyy P. R., Vastyanov R. S., Klishch I. M., Televiak A. T., Volska A. S., Kurylo Kh. B., Selskyy B. P. Optimization of prediction of morphological disorders of skeletal muscles in experimental acute ischemia-reperfusion on the basis of combined changes in lipid peroxidation and antioxidant protection by neural network clustering. Journal of Education, Health and Sport. 2020;10(7):304-317. eISSN 2391-8306. DOI http://dx.doi.org/10.12775/JEHS.2020.10.07.033 https://apcz.umk.pl/czasopisma/index.php/JEHS/article/view/JEHS.2020.10.07.033 https://zenodo.org/record/4029360 The journal has had 5 points in Ministry of Science and Higher Education parametric evaluation. § 8. 2) and § 12. 1. 2) 22.02.2019. © The Authors 2020; This article is published with open access at Licensee Open Journal Systems of Nicolaus Copernicus University in Torun, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author (s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non commercial license Share alike. (http://creativecommons.org/licenses/by-nc-sa/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 19.06.2020. Revised: 09.07.2020. Accepted: 31.07.2020. UDC 616.137.8-091.8-005.4-089.811]-092.9 OPTIMIZATION OF PREDICTION OF MORPHOLOGICAL DISORDERS OF SKELETAL MUSCLES IN EXPERIMENTAL ACUTE ISCHEMIA-REPERFUSION ON THE BASIS OF COMBINED CHANGES IN LIPID PEROXIDATION AND ANTIOXIDANT PROTECTION BY NEURAL NETWORK CLUSTERING P. R. Selskyy1, R. S. Vastyanov2, I. M. Klishch1, A. T. Televiak1, A. S. Volska1, Kh. B. Kurylo1, B. P. Selskyy3 1I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine 2Оdesa National Medical University, Odesa, Ukraine 3Ternopil University Hospital, Ternopil, Ukraine Abstract The paper proposes a method for optimizing the prediction of the development of morphological disorders of skeletal muscle in experimental acute ischemia-reperfusion based on combined changes in lipid peroxidation and antioxidant protection. The approach is based on the use of neural network clustering. The purpose of the study – to propose a method for optimizing the prediction of the severity of morphological disorders in experimental acute ischemia-reperfusion on the basis of combined changes in lipid peroxidation and antioxidant protection by neural network clustering. The experimental model of ischemic-reperfusion lesion was represented by five groups of rats with reperfusion terms of 1 and 2 hours, 1 day, 7 and 14 days (18 animals each). Acute limb ischemia-reperfusion was simulated by applying SWAT rubber tourniquets on the hind right limb of animals for two hours under thiopental-sodium anesthesia. Histological examination was performed at the Department of Pathological Anatomy with a sectional course and forensic medicine of I. Horbachevsky Ternopil National Medical University of Ministry of Health of Ukraine according to generally accepted methods. Determination of lipid peroxidation and antioxidant protection in the blood serum of each experimental group of rats was performed by the Central Research Laboratory of I. Horbachevsky Ternopil National Medical University of Ministry of Health of Ukraine. For in-depth analysis and clustering of the indicators of the studied groups in order to optimize the prediction of the course of ischemic-reperfusion lesion, a neural network approach was used using the NeuroXL Classifier add-in for Microsoft Excel. The greatest prognostic value in relation to the severity of morphological disorders in the early reperfusion period according to the data of neural network clustering have combined changes in the level of TBA-active products and catalase. Key words: acute ischemia-reperfusion; morphological changes; lipid peroxidation; neural network clustering.
Databáze: OpenAIRE
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