Łukasz Kubaszewski1, Anetta Zioła-Frankowska2, Zuzanna Gasik3, Marcin Frankowski2, Mikołaj Dąbrowski4, Bartłomiej Molisak5, Jacek Kaczmarczyk5, Robert Gasik3. 1. Department of Orthopaedic and Traumatology, W. Dega University Hospital, University of Medical Sciences, Poznań, Poland. eklinika@o2.pl. 2. Faculty of Chemistry, Adam Mickiewicz University in Poznań, Poland. 3. Clinic and Polyclinic of Neuro-orthopedic and Neurology, Institute of Rheumatology, Warsaw, Poland. 4. Department of Spondyloorthopaedics and Biomechanics of the Spine, Poznań University of Medical Sciences, Poland. 5. Department of Orthopaedic and Traumatology, W. Dega University Hospital, University of Medical Sciences, Poznań, Poland.
Abstract
BACKGROUND: The work is designed to uncover the pattern of mutual relation among trace elements and epidemiological data in the degenerated intervertebral disk tissue in humans. Hitherto the reason of the degenerative process is not fully understood. Trace elements are the basic components of the biological compound related both its metabolism as well as environmental exposure. The relation pattern among elements occurs gives new perspective in solving the cause of the disease. MATERIAL AND METHODS: We have analysed trace elements content in the 30 intervertebral disc from 22 patients with degenerative disc disease. The concentrations of Al, Cu, Cd, Mo, Ni and Pb were determined with Atomic Absorption Spectrometry. To analyse the multidimentional relation between trace element concentration and epidemiological data the chemometric analysis was applied. RESULTS: The similarity have been shown in occurrence of following pairs: Cd-Mo as well as Mg-Zn. The second pair was correlated with Pb concentration. Pb levels are observed to be competitive to Cu concentration. Cd concentration was related to Zn and Mg deficiency. No single but rather cluster of epidemiological data show observable influence on the TE tissue variance. Zn and Cu was related to the male sex. Operation with orthopedic implants were related to combined Al, Mo and Zn concentration. CONCLUSIONS: This is the first chemometric analysis of trace elements in disk tissue. It shows multidimentional relations that are missed by the classical statistic. The analysis shows significant relation. The nature of the relations is the basis for further metabolic and environmental research.
BACKGROUND: The work is designed to uncover the pattern of mutual relation among trace elements and epidemiological data in the degenerated intervertebral disk tissue in humans. Hitherto the reason of the degenerative process is not fully understood. Trace elements are the basic components of the biological compound related both its metabolism as well as environmental exposure. The relation pattern among elements occurs gives new perspective in solving the cause of the disease. MATERIAL AND METHODS: We have analysed trace elements content in the 30 intervertebral disc from 22 patients with degenerative disc disease. The concentrations of Al, Cu, Cd, Mo, Ni and Pb were determined with Atomic Absorption Spectrometry. To analyse the multidimentional relation between trace element concentration and epidemiological data the chemometric analysis was applied. RESULTS: The similarity have been shown in occurrence of following pairs: Cd-Mo as well as Mg-Zn. The second pair was correlated with Pb concentration. Pb levels are observed to be competitive to Cu concentration. Cd concentration was related to Zn and Mg deficiency. No single but rather cluster of epidemiological data show observable influence on the TE tissue variance. Zn and Cu was related to the male sex. Operation with orthopedic implants were related to combined Al, Mo and Zn concentration. CONCLUSIONS: This is the first chemometric analysis of trace elements in disk tissue. It shows multidimentional relations that are missed by the classical statistic. The analysis shows significant relation. The nature of the relations is the basis for further metabolic and environmental research.
Entities:
Keywords:
Intervertebral Disk; chemometrics; degeneration; trace elements
Authors: Rafał Staszkiewicz; Kamil Bryś; Dorian Gładysz; Marcin Gralewski; Michał Garczarek; Marcin Gadzieliński; Jerzy Wieczorek; Wiesław Marcol; Aleksander Ostenda; Beniamin Oskar Grabarek Journal: Int J Environ Res Public Health Date: 2022-07-25 Impact factor: 4.614
Authors: Marta Jakoniuk; Magdalena Biegaj; Jan Kochanowicz; Tomasz Łysoń; Agnieszka Lankau; Marianna Wilkiel; Katarzyna Socha Journal: J Clin Med Date: 2022-09-23 Impact factor: 4.964
Authors: Marta Jakoniuk; Jan Kochanowicz; Agnieszka Lankau; Marianna Wilkiel; Katarzyna Socha Journal: Int J Environ Res Public Health Date: 2022-09-09 Impact factor: 4.614
Authors: Mikołaj Dąbrowski; Anetta Zioła-Frankowska; Marcin Frankowski; Jacek Kaczmarczyk; Łukasz Kubaszewski Journal: Int J Environ Res Public Health Date: 2021-03-22 Impact factor: 3.390