Novel Approach to Investigate the Effect of High-Dose Methylprednisolone on Erythrocyte Morphology: White Light Diffraction Microscopy

[1] Unal, A., Kocahan, O., Altunan, B., Gundogdu, A. A., Uyanık, M., Ozder, S. (2021). Quantitative phase imaging of erythrocyte in epilepsy patients. Microscopy Research and Technique, 84 (6), 1172-1180. https://doi.org/10.1002/jemt.23676 Search in Google Scholar

[2] Zambrano, P., Suwalsky, M., Jemiola-Rzeminska, M., Strzalka, K. (2018). α1-and β-adrenergic antagonist labetalol induces morphological changes in human erythrocytes. Biochemical and Biophysical Research Communications, 503 (1), 209-214. https://doi.org/10.1016/j.bbrc.2018.06.004 Search in Google Scholar

[3] Zambrano, P., Suwalsky, M., Villena, F., Jemiola-Rzeminska, M., Strzalka, K. (2017). In vitro effects of the anti-Alzheimer drug memantine on the human erythrocyte membrane and molecular models. Biochemical and Biophysical Research Communications, 483 (1), 528-533. https://doi.org/10.1016/j.bbrc.2016.12.111 Search in Google Scholar

[4] Suwalsky, M., Jemiola-Rzeminska, M., Altamirano, M., Villena, F., Dukes, N., Strzalka, K. (2015). Interactions of the antiviral and antiparkinson agent amantadine with lipid membranes and human erythrocytes. Biophysical Chemistry, 202, 13-20. https://doi.org/10.1016/j.bpc.2015.04.002 Search in Google Scholar

[5] Lieser, J., Schwedes, C., Walter, M., Langenstein, J., Moritz, A., Bauer, N. (2021). Oxidative damage of canine erythrocytes after treatment with non-steroidal anti-inflammatory drugs. Tierärztliche Praxis, 49 (6), 407-413. https://doi.org/10.1055/a-1623-7506 Search in Google Scholar

[6] Groen, K., Maltby, V. E., Sanders, K. A., Scott, R. J., Tajouri, L., Lechner-Scott, J. (2016). Erythrocytes in multiple sclerosis - forgotten contributors to the pathophysiology? Multiple Sclerosis Journal -Experimental Translational and Clinical. https://doi.org/10.1177/2055217316649981 Search in Google Scholar

[7] Mukherjee, R., Saha, M., Routray, A., Chakraborty, C. (2015). Nanoscale surface characterization of human erythrocytes by atomic force microscopy: A critical review. IEEE Transactions Nanobioscience, 14 (6), 625-33. https://doi.org/10.1109/TNB.2015.2424674 Search in Google Scholar

[8] Ahmadzadeh, E., Jaferzadeh, K., Lee, J., Moon I. (2017). Automated three-dimensional morphology-based clustering of human erythrocytes with regular shapes: Stomatocytes, discocytes, and echinocytes. Journal of Biomedical Optics, 22 (7), 076015. https://doi.org/10.1117/1.JBO.22.7.076015 Search in Google Scholar

[9] Jaferzadeh, K., Moon, I. (2016). Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging. Journal of Biomedical Optics, 21 (12), 126015. https://doi.org/10.1117/1.JBO.21.12.126015 Search in Google Scholar

[10] Bhaduri, B., Pham, H., Mir, M., Popescu, G. (2012). Diffraction phase microscopy with white light. Optic Letters, 37 (6), 1094-1096. https://doi.org/10.1364/ol.37.001094 Search in Google Scholar

[11] Pham, H. V., Edwards, C., Goddard, L. L., Popescu, G. (2013). Fast phase reconstruction in white light diffraction phase microscopy. Applied Optics, 52 (1), A97-A101. https://doi.org/10.1364/ao.52.000a97 Search in Google Scholar

[12] Kocahan, O., Tiryaki, E., Coskun, E., Ozder, S. (2018). Determination of phase from the ridge of CWT using generalized Morse wavelet. Measurement Science And Technology, 29 (3), 035203. https://doi.org/10.1088/1361-6501/aa9d56 Search in Google Scholar

[13] Takeda, M., Mutoh, K. (1983). Fourier transform profilometry for the automatic measurement of 3-D object shapes. Applied Optics, 22 (24), 3977. https://doi.org/10.1364/ao.22.003977 Search in Google Scholar

[14] Bayazit, S., Engin, B., Kutlubay, Z., Aşkın, O., Serdaroglu S. (2020). Side effects of systemic steroids and management. Dermatoz, 11 (1), 1-6. https://doi.org/10.4274/dermatoz.galenos.2019.76486 Search in Google Scholar

[15] Buttgereit, F., da Silva, J. A., Boers, M., Burmester, G. R., Cutolo, M., Jacobs, J., Kirwan, J., Köhler, L., Van Riel, P., Vischer, T., Bijlsma, J. W. (2002). Standardised nomenclature for glucocorticoid dosages and glucocorticoid treatment regimens: Current questions and tentative answers in rheumatology. Annals of the Rheumatıc Diseases, 61 (8), 718-722. https://doi.org/10.1136/ard.61.8.718 Search in Google Scholar

[16] McGowan Jr., J. E., Chesney, P. J., Crossley, K. B., LaForce, F. M. (1992). Guidelines for the use of systemic glucocorticosteroids in the management of selected infections. The Journal of Infectious Diseases, 165 (1), 1-13. https://doi.org/10.1093/infdis/165.1.1 Search in Google Scholar

[17] Van Der Meer, J. W. (2003). Immunomodulation by antimicrobial drugs. Netherlands Journal of Medicine, 61 (7), 233-234. Search in Google Scholar

[18] Shimba, A., Ikuta, K. (2020). Control of immunity by glucocorticoids in health and disease. Seminars in Immunopathology, 42 (6), 669-680. https://doi.org/10.1007/s00281-020-00827-8 Search in Google Scholar

[19] Thomason, J., Mooney, A. P., Price, J. M., Whittemore, J. C. (2020). Effects of clopidogrel and prednisone on platelet function in healthy dogs. Journal of Veterinary Internal Medicine, 34 (3), 1198-1205. https://doi.org/10.1111/jvim.15759 Search in Google Scholar

[20] Panin, L. E., Mokrushnikov, P. V., Kunitsyn, V. G., Zaitsev, B. N. (2010). Interaction mechanism of cortisol and catecholamines with structural components of erythrocyte membranes. Journal of Physical Chemistry B, 114 (29), 9462-9473. https://doi.org/10.1021/jp911917a Search in Google Scholar

[21] Mokrushnikov, P. V., Panin, L. E., Zaitsev, B. N. (2015). The action of stress hormones on the structure and function of erythrocyte membrane. General Physiology and Biophysics, 34 (3), 311-321. https://doi.org/10.4149/gpb_2014041 Search in Google Scholar

[22] Popescu, G., Badizadegan, K., Dasari, R. R., Feld, M. S. (2006). Observation of dynamic subdomains in red blood cells. Journal of Biomedical Optics, 11 (4), 040503. https://doi.org/10.1117/1.2221867 Search in Google Scholar

[23] Jaferzadeh, K., Sim, M., Kim, N., Moon, I. (2019). Quantitative analysis of three-dimensional morphology and membrane dynamics of red blood cells during temperature elevation. Scientific Reports, 9 (1), 14062. https://doi.org/10.1038/s41598-019-50640-z Search in Google Scholar

[24] Yi, F., Moon, I., Javidi, B. (2016). Cell morphology-based classification of red blood cells using holographic imaging informatics. Biomedical Optics Express, 7 (6), 2385-2399. https://doi.org/10.1364/boe.7.002385 Search in Google Scholar

[25] Park, H., Lee, S., Ji, M., Kim, K., Son, Y., Jang, S., Park, Y. (2016). Measuring cell surface area and deformability of individual human red blood cells over blood storage using quantitative phase imaging. Scientific Reports, 6, 34257. https://doi.org/10.1038/srep34257 Search in Google Scholar

[26] Zuk, A., Targosz-Korecka, M., Szymonski, M. (2011). Effect of selected drugs used in asthma treatment on morphology and elastic properties of red blood cells. International Journal of Nanomedicine, 6, 249-257. https://doi.org/10.2147/ijn.s15802 Search in Google Scholar

[27] Byrnes, J. R., Wolberg, A. S. (2017). Red blood cells in thrombosis. Blood, 130 (16), 1795-1799. https://doi.org/10.1182/blood-2017-03-745349 Search in Google Scholar

[28] Weisel, J. W., Litvinov, R. I. (2019). Red blood cells: The forgotten player in hemostasis and thrombosis. Journal of Thrombosis and Haemostasis, 17 (2), 271-282. https://doi.org/10.1111/jth.14360 Search in Google Scholar

[29] Hickman, K., Magder, L., Petri, M. (2015). Prednisone increases both arterial and venous thrombosis in SLE. Annals of the Rheumatic Diseases, 74, 573. https://doi.org/10.1136/annrheumdis-2015-eular.4276 Search in Google Scholar

[30] Go, R. C., Nyirenda, T., Bojarian, M., Hosseini, D. K., Rahim, M., Kim, K., Rose, K. M. (2022). Methylprednisolone, venous thromboembolism, and association with heparin to 30 days in hospital survival in severe Covid-19 pneumonia. BMC Pulmonary Medicine, 22, 6. https://doi.org/10.1186/s12890-021-01810-1 Search in Google Scholar

[31] Baskurt, O. K., Meiselman, H. J. (2003). Blood rheology and hemodynamics. Seminars in Thrombosis and Hemostasis, 29 (5), 435-450. https://doi.org/10.1055/s-2003-44551 Search in Google Scholar

[32] Canham, P. B. (1970). The minimum energy of bending as a possible explanation of the biconcave shape of the human red blood cell. Journal of Theoretical Biology, 26 (1), 61-81. https://doi.org/10.1016/s0022-5193(70)80032-7 Search in Google Scholar

[33] Uzoigwe, C. (2006). The human erythrocyte has developed the biconcave disc shape to optimise the flow properties of the blood in the large vessels. Medical Hypotheses, 67 (5), 1159-1163. https://doi.org/10.1016/j.mehy.2004.11.047 Search in Google Scholar

[34] Tu, Z. (2011). Geometry of membranes. Journal of Geometry and Symmetry in Physics, 24, 45-75. https://doi.org/10.7546/jgsp-24-2011-45-75 Search in Google Scholar