Chronic kidney disease is a progressive disease characterized by chronic renal failure, which can lead to end-stage renal disease over time. Lipid metabolism disorder is a common disease in patients with chronic kidney disease. Lipid can directly or indirectly enhance the progress of renal damage through direct renal cytotoxicity or promoting renal arteriosclerosis. Therefore, it is of great significance to explore the research progress of renal morphology and function in rats with muscle injury induced by skeletal exercise. The purpose of this study is to explore the degree of renal injury and the changes of renal morphology and function after bone exercise, and to find out the relationship between them. In this study, four groups of experimental subjects were set up, which were blank control group, 12-hour exercise group, 24-hour exercise group and 48-hour exercise group. The results showed that the serum uric acid value of the rats after 48 hours of exercise was the highest, reaching 348.1 umol / L, while the serum creatinine index of the blank control group was the highest, which was 112.4 umol / L, which decreased with the increase of exercise time. The highest value of serum urea nitrogen in the blank control group was 5.53 mmol / L. The weight of rats decreased with the increase of exercise time, and the weight loss of rats after 48 hours of exercise was 6.1g. In the quantitative measurement of urinary protein, we can draw such a conclusion that the longer the exercise time, the higher the content of urinary protein, and with the passage of time, the content of urinary protein will return to the normal range, and the measurement results of red blood cell number also increase with the increase of exercise time.

Woncana Katsri. Changes of Renal Morphology and Function in Rats with Muscle Injury after Induced Skeletal Exercise. International Journal of Sports Technology (2020), Vol. 1, Issue 1: 60-71. https://doi.org/10.38007/IJST.2020.010105.

[1] Zhou, C. , Yool, A. J. , & Byard, R. W. . (2016). “An Isolated Perfused Rat Kidney Model for The Evaluation of The Effect of Glucose on Renal Tubular Epithelial Morphology”, Journal of Forensic ences, 62(1), pp.126.https://doi.org/10.1111/1556-4029.13229

[2] Chengde, L. , Yizheng, L. , Jinyan, W. , Cheng, L. , Wentao, L. , & Xigao, J. . (2018). “Improving Hydrophilicity and Inducing Bone-Like Apatite Formation on Ppbes By Polydopamine Coating for Biomedical Application”, Molecules, 23(7), pp.1643. https://doi.org/10.3390/molecules23071643

[3] Yi, L. , Ishiguro, H. , Yamamoto, A. , Nakakuki, M. , Furuya, S. , & Nagao, S. , et al. (2016). “Morphology of Primary Cilia in Pancreatic Duct of The Polycystic Kidney Rat”, Pancreatology, 16(4), pp.S96. https://doi.org/10.1016/j.pan.2016.06.344

[4] Nwozo, S. O. , Ozegbe, P. C. , & Olusanya, O. . (2017). “Carbendazim Alters Kidney Morphology, Kidney Function Tests, Tissue Markers of Oxidative Stress and Serum Micro-Elements in Rats Fed Protein-Energy Malnourished Diet”, International Journal of Biological and Chemical ences, 11(3), pp.1046. https://doi.org/10.4314/ijbcs.v11i3.10

[5] Al-Seeni, M. N. , El Rabey, H. A. , & Al-Solamy, S. M. . (2015). “The Protective Role of Bee Honey Against The Toxic Effect of Melamine in The Male Rat Kidney”, Toxicology & Industrial Health, 31(6), pp.485-493. https://doi.org/10.1177/0748233714551765

[6] Azad, M. A. K. , Akter, J. , Rogers, K. L. , Nation, R. L. , Velkov, T. , & Li, J. . (2015). “Major Pathways of Polymyxin-Induced Apoptosis in Rat Kidney Proximal Tubular Cells”, Antimicrobial Agents and Chemotherapy, 59(4), pp.2136-2143. https://doi.org/10.1128/AAC.04869-14

[7] Mahmood, K. M. , Reza, R. , Hossein, N. V. , Babak, M. , & Nahid, G. B. . (2018). “Protective Effect of Quercetin on Histomorphometric Changes in Kidney of Retinoid Acid-Treated Rat Fetuses”, International Journal of Morphology, 36(1), 338-344. https://doi.org/10.4067/S0717-95022018000100338

[8] Sulaiman, F. A. , Akanji, M. A. , Oloyede, H. O. B. , Sulaiman, A. A. , & Adeyemi, O. S. . (2015). “Oral Exposure to Silver/Gold Nanoparticles: Status of Rat Lipid Profile, Serum Metabolites and Tissue Morphology”, Journal of Medical ences(Faisalabad), 15(2), pp.71-79. https://doi.org/10.3923/jms.2015.71.79

[9] Gao, Y. , Zeng, Z. , Li, T. , Xu, S. , & Lin, C. . (2015). “Polydatin Inhibits Mitochondrial Dysfunction in The Renal Tubular Epithelial Cells of A Rat Model of Sepsis-Induced Acute Kidney Injury”, Anesthesia & Analgesia, 121(5), pp.1251. https://doi.org/10.1213/ANE.0000000000000977

[10] Katagiri, T. , Tsukamoto, S. , Nakachi, Y. , & Kuratani, M. . (2018). “Discovery of Heterotopic Bone-Inducing Activity in Hard Tissues and The Tgf-β Superfamily”, International Journal of Molecular Sciences, 19(11), pp.3586. https://doi.org/10.3390/ijms19113586

[11] Neffe, A. T. , Pierce, B. F. , Tronci, G. , Ma, N. , Pittermann, E. , & Gebauer, T. , et al. (2015). “One Step Creation of Multifunctional 3D Architectured Hydrogels Inducing Bone Regeneration”, Advanced Materials, 27(10), pp.1738-1744. https://doi.org/10.1002/adma.201404787

[12] Alessandra, C. , Gianfranca, C. , Elena, R. , Veronica, B. , Michela, V. , & Antonella, M. , et al. (2015). “Foxp3+ t Cells Recruited to Sites of Sterile Skeletal Muscle Injury Regulate The Fate of Satellite Cells and Guide Effective Tissue Regeneration”, Plos One, 10(6), pp.e0128094. https://doi.org/10.1371/journal.pone.0133101

[13] Abedallah Zaid Abualkishik , Sundus Naji AL-Aziz, The Regulation and Influence of Physical Exercise on Human Body's Neutrosophic Set, Respiratory System and Nervous System, International Journal of Neutrosophic Science, 2022, Vol. 18, No. 3, pp: 111-124. https://doi.org/10.54216/IJNS.1803010 

[14] Choi, G. H. ,  Ko, H. ,  Pedrycz, W. ,  Singh, A. K. , &  Pan, S. B. . (2020). Recognition system using fusion normalization based on morphological features of post-exercise ecg for intelligent biometrics. Sensors, 20(24), 7130. https://doi.org/10.3390/s20247130

[15] Amine Saddik *, Rachid Latif and Abdoullah Bella, ECG signal monitoring based on Covid-19 patients: Overview, Journal of Intelligent Systems and Internet of Things, 2021, Vol. 2, No. 2, pp: 45-54. https://doi.org/10.54216/JISIoT.020202

[16] Shuren Zhou, Bo Tan.Electrocardiogram soft computing using hybrid deep learning

CNN-ELM. Applied Soft Computing Journal,Volume 86,2020,105778. https://doi.org/10.1016/j.asoc.2019.105778

[17] Khan, N.A.; Khalaf, O.I.; Romero, C.A.T.; Sulaiman, M.; Bakar, M.A. Application of Euler Neural Networks with Soft Computing Paradigm to Solve Nonlinear Problems Arising in Heat Transfer. Entropy 2021, 23, 1053. https://doi.org/10.3390/e23081053