Sub-cellular elemental imaging of human muscle tissues affected by neuromuscular diseases

• Autorzy: Śliż-Szpytna Patrycja , Lankosz Marek , Dudała Joanna , Adamek Dariusz , Radwanska Edyta , Kwinta Borys , Jakšić Milko , Božičević Mihalić Iva , Provatas Georgios

Identyfikatory

DOI

10.2478/nuka-2021-0024

• Konferencja: International Conference on Development and Applications of Nuclear Technologies NUTECH-2020 (04–07.10.2020; Warsaw, Poland)
• Języki publikacji: EN

Abstrakty

EN

Various types of neuromuscular diseases differ in symptoms, pathology, and clinical picture but one of their common elements is muscle weakness, which could lead to human motor activities impairment and in many cases to shortening of life span and even death due to respiratory failure. That is why it is very important to better understand the underlying causes of these diseases to be able to implement new methods of treatment more effectively. This paper presents the results of the elemental analysis of human muscular tissues affected by dystrophy and myopathy. For this purpose, the particle-induced X-ray emission method was used, which is perfectly suited for measuring light elements. The samples were analysed for differences in the elemental composition of Na, Mg, P, S, Cl, K, Fe, Zn, and Br. The results were presented in the form of elemental concentration maps and a thorough statistical analysis of the obtained data using the advanced statistical methods.

Słowa kluczowe

EN

dystrophy; elemental analysis; myopathy; neurodegenerative diseases; PIXE

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2021
• Tom: Vol. 66, No. 4
• Strony: 159--164
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Śliż-Szpytna Patrycja

• AGH University of Science and Technology Faculty of Physics and Applied Computer Science Mickiewicza 30 Ave., 30-059 Krakow, Poland

• https://orcid.org/0000-0001-5271-891X

autor

Lankosz Marek

• AGH University of Science and Technology Faculty of Physics and Applied Computer Science Mickiewicza 30 Ave., 30-059 Krakow, Poland

• https://orcid.org/0000-0003-3126-9806

autor

Dudała Joanna

• AGH University of Science and Technology Faculty of Physics and Applied Computer Science Mickiewicza 30 Ave., 30-059 Krakow, Poland

• https://orcid.org/0000-0002-5699-3959

autor

Adamek Dariusz

• Jagiellonian University Faculty of Medicine Chair of Pathomorphology Grzegórzecka 16 Str., 31-531 Krakow, Poland

• https://orcid.org/0000-0002-5570-2259

autor

Radwanska Edyta

• Jagiellonian University Faculty of Medicine Chair of Pathomorphology Grzegórzecka 16 Str., 31-531 Krakow, Poland

autor

Kwinta Borys

• Jagiellonian University Medical College Department of Neurosurgery and Neurotraumatology Botaniczna 3 Str., 31-503 Krakow, Poland

• https://orcid.org/0000-0002-3807-5775

autor

Jakšić Milko

• Ruđer Bošković Institute Bijenička cesta 54, 10000, Zagreb, Croatia

• https://orcid.org/0000-0002-6750-9990

autor

Božičević Mihalić Iva

• Ruđer Bošković Institute Bijenička cesta 54, 10000, Zagreb, Croatia

• https://orcid.org/0000-0002-0221-4024

autor

Provatas Georgios

• Ruđer Bošković Institute Bijenička cesta 54, 10000, Zagreb, Croatia

Bibliografia

• 1. Tabebordbar, M. S., Wang, E. T., & Wagers, A. J. (2013). Skeletal muscle degenerative diseases and strategies for therapeutic muscle repair. Annu. Rev. Pathol.-Mech. Dis., 8, 441–475. DOI: 10.1146/annurev-pathol-011811-132450.
• 2. Katirji, B., Kaminski, H. J., & Ruff, R. L. (2014). Neuromuscular disorders in clinical practice. New York: Springer-Verlag.
• 3. Becker, R. A., Cluff, K., Duraisamy, N., Casale, G., & Pipinos, I. (2017). Analysis of ischemic muscle in patients with peripheral artery disease using X-ray spectroscopy. J. Surg. Res., 220, 79–87. DOI: 10.1016/j.jss.2017.06.073.
• 4. Gautam, R., Vanga, S., Madan, A., Gayathri, N., Nongthomba, U., & Umapathy, S. (2015). Raman spectroscopic studies on screening of myopathies. Anal. Chem., 87, 2187–2194. DOI: 10.1021/ac503647x.
• 5. Sole, V. A., Papillon, E., Cotte, M., Walter, Ph., & Susini, J. (2007). A multiplatform code for the analysis of energy-dispersive X-ray fl uorescence spectra. Spectroc. Acta Pt. B-Atom. Spectr., 62, 63–68. DOI: 10.1016/j.sab.2006.12.002.
• 6. Lynch, S. A., McLeod, M. A., Orsech, H. C., Cirelli, A. M., & Waddell, D. S. (2019). Zinc finger protein 593 is upregulated during skeletal muscle atrophy and modulates muscle cell differentiation. Exp. Cell Res., 383, 111563. DOI: 10.1016/j.yexcr.2019.111563.
• 7. TIBCO Software Inc. (2017). Statistica (data analysis software system), version 13. http://statistica.io.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).