Assessment of Immunological Effects of Low-Level Er: YAG Laser Radiation
Journal of Lasers in Medical Sciences,
Vol. 13 (2022),
10 January 2022
Introduction: Low-level laser radiation have a significant effect on cell proliferation. Various investigations about effect of Er: YAG laser on the treated cell lines are published. Determining of core targeted proteins is an attractive subject. Aim of this research is identifying the critical targeted protein by low-level Er: YAG laser in Primary Osteoblast-like Cells.
Methods: Data was extracted from literature about proteomic assessment of 3.3 J/cm2 of low-level Er: YAG laser radiation on osteoblast-like cells of rat calvaria. The significant differentially expressed proteins (DEPs) plus 100 first neighbors were analyzed via network analysis and gene ontology enrichment.
Results: Numbers of 9 DEPs among the 12 queried proteins were included in the main connected component. Analysis revealed that Cxcl1 is a key targeted protein in response to laser radiation. Presence of Cxcl1 in the significant cellular pathways indicates that cell growth and proliferation are affected.
Conclusion: It can be concluded that Immune system is affected by laser to activate cellular defend against stress.
- Laser, Proteomics, Cxcl1, Protein, Cell proliferation
How to Cite
2. Mansouri V, Arjmand B, Tavirani MR, Razzaghi M, Rostami-Nejad M, Hamdieh M. Evaluation of Efficacy of Low-Level Laser Therapy. Journal of Lasers in Medical Sciences. 2020;11(4):369.
3. Pourzarandian A, Watanabe H, Ruwanpura SM, Aoki A, Ishikawa I. Effect of low‐level Er: YAG laser irradiation on cultured human gingival fibroblasts. Journal of periodontology. 2005;76(2):187-93.
4. Aleksic V, Aoki A, Iwasaki K, Takasaki AA, Wang C-Y, Abiko Y, et al. Low-level Er: YAG laser irradiation enhances osteoblast proliferation through activation of MAPK/ERK. Lasers in medical science. 2010;25(4):559-69.
5. Ogita M, Tsuchida S, Aoki A, Satoh M, Kado S, Sawabe M, et al. Increased cell proliferation and differential protein expression induced by low-level Er: YAG laser irradiation in human gingival fibroblasts: proteomic analysis. Lasers in medical science. 2015;30(7):1855-66.
6. Chen X-L, Liu C, Tang B, Ren Z, Wang G-L, Liu W. Quantitative proteomics analysis reveals important roles of N-glycosylation on ER quality control system for development and pathogenesis in Magnaporthe oryzae. PLoS pathogens. 2020;16(2):e1008355.
7. Tyanova S, Cox J. Perseus: a bioinformatics platform for integrative analysis of proteomics data in cancer research. Cancer systems biology: Humana Press; 2018. p. 133-48.
8. Amiri-Dashatan N, Rezaei-Tavirani M, Ahmadi N. A quantitative proteomic and bioinformatics analysis of proteins in metacyclogenesis of Leishmania tropica. Acta tropica. 2020;202:105227.
9. Kovács IA, Luck K, Spirohn K, Wang Y, Pollis C, Schlabach S, et al. Network-based prediction of protein interactions. Nature communications. 2019;10(1):1-8.
10. Abbaszadeh H-A, Peyvandi AA, Sadeghi Y, Safaei A, Zamanian-Azodi M, Khoramgah MS, et al. Er: YAG laser and cyclosporin A effect on cell cycle regulation of human gingival fibroblast cells. Journal of lasers in medical sciences. 2017;8(3):143.
11. Azodi MZ, Peyvandi H, Rostami-Nejad M, Safaei A, Rostami K, Vafaee R, et al. Protein-protein interaction network of celiac disease. Gastroenterology and Hepatology from bed to bench. 2016;9(4):268.
12. Devkota P, Danzi MC, Wuchty S. Beyond degree and betweenness centrality: Alternative topological measures to predict viral targets. PloS one. 2018;13(5):e0197595.
13. Dashatan NA, Tavirani MR, Zali H, Koushki M, Ahmadi N. Prediction of Leishmania major key proteins via topological analysis of protein-protein interaction network. Galen Medical Journal. 2018;7:e1129.
14. Niimi H, Ohsugi Y, Katagiri S, Watanabe K, Hatasa M, Shimohira T, et al. Effects of low-level Er: YAG laser irradiation on proliferation and calcification of primary osteoblast-like cells isolated from rat calvaria. Frontiers in Cell and Developmental Biology. 2020;8:459.
15. Szklarczyk D, Gable AL, Nastou KC, Lyon D, Kirsch R, Pyysalo S, et al. The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic acids research. 2021;49(D1):D605-D12.
16. Otasek D, Morris JH, Bouças J, Pico AR, Demchak B. Cytoscape automation: empowering workflow-based network analysis. Genome biology. 2019;20(1):1-15.
17. Marquardt Y, Amann PM, Heise R, Czaja K, Steiner T, Merk HF, et al. Characterization of a novel standardized human three‐dimensional skin wound healing model using non‐sequential fractional ultrapulsed CO2 laser treatments. Lasers in surgery and medicine. 2015;47(3):257-65.
18. Schmitt L, Huth S, Amann P, Marquardt Y, Heise R, Fietkau K, et al. Direct biological effects of fractional ultrapulsed CO 2 laser irradiation on keratinocytes and fibroblasts in human organotypic full-thickness 3D skin models. Lasers in medical science. 2018;33(4):765-72.
19. Lempiäinen H, Brænne I, Michoel T, Tragante V, Vilne B, Webb TR, et al. Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets. Scientific reports. 2018;8(1):1-14.
20. Ahmed HA, Bhattacharyya DK, Kalita JK. Core and peripheral connectivity based cluster analysis over PPI network. Computational biology and chemistry. 2015;59:32-41.
21. Hazra S, Chaudhuri AG, Tiwary BK, Chakrabarti N. Matrix metallopeptidase 9 as a host protein target of chloroquine and melatonin for immunoregulation in COVID-19: A network-based meta-analysis. Life sciences. 2020;257:118096.
22. Rai A, Narwal S, Kanodia H, Tare M. Eye for an Eye: A Comparative Account on Compound Eye of Drosophila melanogaster with Vertebrate Eye. Molecular Genetics of Axial Patterning, Growth and Disease in Drosophila Eye: Springer; 2020. p. 343-57.
23. Zhu J, Mohan C. Toll-like receptor signaling pathways—therapeutic opportunities. Mediators of inflammation. 2010;2010.
24. Miyake M, Goodison S, Urquidi V, Giacoia EG, Rosser CJ. Expression of CXCL1 in human endothelial cells induces angiogenesis through the CXCR2 receptor and the ERK1/2 and EGF pathways. Laboratory investigation. 2013;93(7):768-78.
25. Nunemaker CS, Chung HG, Verrilli GM, Corbin KL, Upadhye A, Sharma PR. Increased serum CXCL1 and CXCL5 are linked to obesity, hyperglycemia, and impaired islet function. Journal of Endocrinology. 2014;222(2):267-76.
26. Acharyya S, Oskarsson T, Vanharanta S, Malladi S, Kim J, Morris PG, et al. A CXCL1 paracrine network links cancer chemoresistance and metastasis. Cell. 2012;150(1):165-78.
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