ISSN: 2008-2258
Vol 14, No 4 (2021): Autumn
Introducing physical exercise as a potential strategy in liver cancer prevention and development
Gastroenterology and Hepatology from Bed to Bench,
,
https://doi.org/10.22037/ghfbb.v14i4.2250
Abstract
Background. There are many evidences about benefits of physical activity which are mostly related to the metabolism regulation and body health. Deeper investigation deals with other features of physical activity such as anticancer property.
Aim. In this study, anticancer property of physical activity investigates via network analysis in the trained rats.
Methods. To investigate proteome profile of rats’ liver subjected to physical activity via bioinformatics, protein-protein interaction network analysis was applied. For this reason, a number of 12 differentially expressed proteins were searched and analyzed by Cytoscape 3.7.2 and its plug-ins. The network was analyzed to identify hub-bottleneck nodes. The action map was constructed for the central proteins.
Results. The findings indicate that among the queried proteins, Eno1 and Pgm1 were only assigned as hubs by Network Analzyer. Gpi, Pkm, Aldoa, and Aldoart2 also were identified ad central nodes among the first neighbors of network elements. Furthermore, glycolytic process, carbohydrate catabolic process, and glucose metabolic process are the enrichment of key elements that could be imperative in the mechanism of exercise in liver function. Anticancer property of the central nodes was highlighted.
Conclusion. Our network findings point out the anticancer properties of physical activity, which was also supported by the previous investigations.
Keywords:
- Physical activity, Liver health, Protein-protein interaction network analysis, Gene ontology, anticancer
How to Cite
Zamanian Azodi, M., Hajisayah, S. khatoon, Razzaghi, M., & Rezaei Tavirani, M. (2021). Introducing physical exercise as a potential strategy in liver cancer prevention and development . Gastroenterology and Hepatology from Bed to Bench, 14(4). https://doi.org/10.22037/ghfbb.v14i4.2250
References
References
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10. Tavirani MR, Azodi MZ, Rostami-Nejad M, Morravej H, Razzaghi Z, Okhovatian F, et al. Introducing Serine as Cardiovascular Disease Biomarker Candidate via Pathway Analysis. Galen Medical Journal. 2020;9:1696.
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24. Adeva-Andany MM, Pérez-Felpete N, Fernández-Fernández C, Donapetry-García C, Pazos-García C. Liver glucose metabolism in humans. Bioscience reports. 2016;36(6):e00416.
25. Gamage DG, Hendrickson TL. GPI transamidase and GPI anchored proteins: oncogenes and biomarkers for cancer. Critical reviews in biochemistry and molecular biology. 2013;48(5):446-64.
26. Nagpal JK, Dasgupta S, Jadallah S, Chae YK, Ratovitski EA, Toubaji A, et al. Profiling the expression pattern of GPI transamidase complex subunits in human cancer. Modern Pathology. 2008;21(8):979-91.
27. Yuan C, Li Z, Wang Y, Qi B, Zhang W, Ye J, et al. Overexpression of metabolic markers PKM 2 and LDH 5 correlates with aggressive clinicopathological features and adverse patient prognosis in tongue cancer. Histopathology. 2014;65(5):595-605.
28. Jin G-Z, Zhang Y, Cong W-M, Wu X, Wang X, Wu S, et al. Phosphoglucomutase 1 inhibits hepatocellular carcinoma progression by regulating glucose trafficking. PLoS biology. 2018;16(10).
29. Du S, Guan Z, Hao L, Song Y, Wang L, Gong L, et al. Fructose-bisphosphate aldolase a is a potential metastasis-associated marker of lung squamous cell carcinoma and promotes lung cell tumorigenesis and migration. PloS one. 2014;9(1).
30. Yamamoto T, Kudo M, Peng W-X, Takata H, Takakura H, Teduka K, et al. Identification of aldolase A as a potential diagnostic biomarker for colorectal cancer based on proteomic analysis using formalin-fixed paraffin-embedded tissue. Tumor Biology. 2016;37(10):13595-606.
----------------------------------------------------------------------------------------------------------------
1. Paillard T, Rolland Y, de Souto Barreto P. Protective effects of physical exercise in Alzheimer's disease and Parkinson's disease: a narrative review. Journal of clinical neurology. 2015;11(3):212-9.
2. van der Windt DJ, Sud V, Zhang H, Tsung A, Huang H. The effects of physical exercise on fatty liver disease. Gene Expression The Journal of Liver Research. 2018;18(2):89-101.
3. Shamsoddini A, Sobhani V, Chehreh MEG, Alavian SM, Zaree A. Effect of aerobic and resistance exercise training on liver enzymes and hepatic fat in Iranian men with nonalcoholic fatty liver disease. Hepatitis monthly. 2015;15(10).
4. Kemi OJ, Wisløff U. High-intensity aerobic exercise training improves the heart in health and disease. Journal of cardiopulmonary rehabilitation and prevention. 2010;30(1):2-11.
5. Cotman CW, Berchtold NC. Exercise: a behavioral intervention to enhance brain health and plasticity. Trends in neurosciences. 2002;25(6):295-301.
6. Lavoie J-M, Gauthier M-S. Regulation of fat metabolism in the liver: link to non-alcoholic hepatic steatosis and impact of physical exercise. Cellular and Molecular Life Sciences CMLS. 2006;63(12):1393-409.
7. Wennerberg E, Lhuillier C, Rybstein MD, Dannenberg K, Rudqvist N-P, Koelwyn GJ, et al. Exercise reduces immune suppression and breast cancer progression in a preclinical model. Oncotarget. 2020;11(4):452.
8. Li F, Li T, Liu Y. Proteomics-based identification of the molecular signatures of liver tissues from aged rats following eight weeks of medium-intensity exercise. Oxidative medicine and cellular longevity. 2016;2016.
9. Snider J, Kotlyar M, Saraon P, Yao Z, Jurisica I, Stagljar I. Fundamentals of protein interaction network mapping. Molecular systems biology. 2015;11(12).
10. Tavirani MR, Azodi MZ, Rostami-Nejad M, Morravej H, Razzaghi Z, Okhovatian F, et al. Introducing Serine as Cardiovascular Disease Biomarker Candidate via Pathway Analysis. Galen Medical Journal. 2020;9:1696.
11. Smoot ME, Ono K, Ruscheinski J, Wang P-L, Ideker T. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2010;27(3):431-2.
12. Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic acids research. 2018;47(D1):D607-D13.
13. Assenov Y, Ramírez F, Schelhorn S-E, Lengauer T, Albrecht M. Computing topological parameters of biological networks. Bioinformatics. 2007;24(2):282-4.
14. Bindea G, Mlecnik B, Hackl H, Charoentong P, Tosolini M, Kirilovsky A, et al. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics. 2009;25(8):1091-3.
15. Bindea G, Galon J, Mlecnik B. CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data. Bioinformatics. 2013;29(5):661-3.
16. Scoppetta F, Tartaglia M, Renzone G, Avellini L, Gaiti A, Scaloni A, et al. Plasma protein changes in horse after prolonged physical exercise: a proteomic study. Journal of proteomics. 2012;75(14):4494-504.
17. Yuan H, Niu Y, Liu X, Yang F, Niu W, Fu L. Proteomic analysis of skeletal muscle in insulin-resistant mice: response to 6-week aerobic exercise. PloS one. 2013;8(1).
18. Ubaida-Mohien C, Gonzalez-Freire M, Lyashkov A, Moaddel R, Chia CW, Simonsick EM, et al. Physical activity associated proteomics of skeletal muscle: being physically active in daily life may protect skeletal muscle from aging. Frontiers in physiology. 2019;10:312.
19. Lombardi G, Ziemann E, Banfi G. Physical activity and bone health: what is the role of immune system? A narrative review of the third way. Frontiers in endocrinology. 2019;10.
20. Smith JC, Nielson KA, Woodard JL, Seidenberg M, Rao SM. Physical activity and brain function in older adults at increased risk for Alzheimer’s disease. Brain sciences. 2013;3(1):54-83.
21. Tsai S-T, Chien I-H, Shen W-H, Kuo Y-Z, Jin Y-T, Wong T-Y, et al. ENO1, a potential prognostic head and neck cancer marker, promotes transformation partly via chemokine CCL20 induction. European journal of cancer. 2010;46(9):1712-23.
22. Qiao H, Wang Y-F, Yuan W-Z, Zhu B-D, Jiang L, Guan Q-L. Silencing of ENO1 by shRNA inhibits the proliferation of gastric cancer cells. Technology in cancer research & treatment. 2018;17:1533033818784411.
23. Pelicano H, Martin D, Xu R, and, Huang P. Glycolysis inhibition for anticancer treatment. Oncogene. 2006;25(34):4633-46.
24. Adeva-Andany MM, Pérez-Felpete N, Fernández-Fernández C, Donapetry-García C, Pazos-García C. Liver glucose metabolism in humans. Bioscience reports. 2016;36(6):e00416.
25. Gamage DG, Hendrickson TL. GPI transamidase and GPI anchored proteins: oncogenes and biomarkers for cancer. Critical reviews in biochemistry and molecular biology. 2013;48(5):446-64.
26. Nagpal JK, Dasgupta S, Jadallah S, Chae YK, Ratovitski EA, Toubaji A, et al. Profiling the expression pattern of GPI transamidase complex subunits in human cancer. Modern Pathology. 2008;21(8):979-91.
27. Yuan C, Li Z, Wang Y, Qi B, Zhang W, Ye J, et al. Overexpression of metabolic markers PKM 2 and LDH 5 correlates with aggressive clinicopathological features and adverse patient prognosis in tongue cancer. Histopathology. 2014;65(5):595-605.
28. Jin G-Z, Zhang Y, Cong W-M, Wu X, Wang X, Wu S, et al. Phosphoglucomutase 1 inhibits hepatocellular carcinoma progression by regulating glucose trafficking. PLoS biology. 2018;16(10).
29. Du S, Guan Z, Hao L, Song Y, Wang L, Gong L, et al. Fructose-bisphosphate aldolase a is a potential metastasis-associated marker of lung squamous cell carcinoma and promotes lung cell tumorigenesis and migration. PloS one. 2014;9(1).
30. Yamamoto T, Kudo M, Peng W-X, Takata H, Takakura H, Teduka K, et al. Identification of aldolase A as a potential diagnostic biomarker for colorectal cancer based on proteomic analysis using formalin-fixed paraffin-embedded tissue. Tumor Biology. 2016;37(10):13595-606.
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