RESEARCH PAPER
Chemometric evaluation of concentrations of trace elements in intervertebral disc tissue in patient with degenerative disc disease
1
Department of Orthopaedic and Traumatology, W. Dega University Hospital, University of Medical Sciences, Poznań, Poland
2
Clinic; Polyclinic of Neuroorthopedic and Neurology, Institute of Rheumatology, Warsaw, Poland
3
Faculty of Chemistry, Adam Mickiewicz University in Poznań, Poland
4
Clinic and Polyclinic of Neuro-orthopedic and Neurology, Institute of Rheumatology, Warsaw, Poland
5
Department of Spondyloorthopaedics and Biomechanics of the Spine, Poznań University of Medical Sciences, Poland
Corresponding author
Łukasz Kubaszewski
Department of Orthopaedic and Traumatology, W. Dega University Hospital, University of Medical Sciences, Poznań, Poland
Department of Orthopaedic and Traumatology, W. Dega University Hospital, University of Medical Sciences, Poznań, Poland
Ann Agric Environ Med. 2017;24(4):610–617
KEYWORDS
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
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
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