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Hachmöller, O.* ; Aichler, M. ; Schwamborn, K.* ; Lutz, L.* ; Werner, M.* ; Sperling, M.* ; Walch, A.K. ; Karst, U.*

Element bioimaging of liver needle biopsy specimens from patients with Wilson's disease by laser ablation-inductively coupled plasma-mass spectrometry.

J. Trace Elem. Med. Biol. 35, 97-102 (2016)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
A laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) method is developed and applied for the analysis of paraffin-embedded liver needle biopsy specimens of patients with Wilson's disease (WD), a rare autosomal recessive disorder of the copper metabolism causing various hepatic, neurological and psychiatric symptoms due to a copper accumulation in the liver and the central nervous system. The sample set includes two WD liver samples and one negative control sample. The imaging analysis was performed with a spatial resolution of 10 μm. Besides copper, iron was monitored because an elevated iron concentration in the liver is known for WD. In addition to this, both elements were quantified using an external calibration based on matrix-matched gelatine standards. The presented method offers low limits of detection of 1 and 5 μg/g for copper and iron, respectively. The high detection power and good spatial resolution allow the analysis of small needle biopsy specimen using this method. The two analyzed WD samples can be well differentiated from the control sample due to their inhomogeneous copper distribution and high copper concentrations of up to 1200μg/g. Interestingly, the WD samples show an inverse correlation of regions with elevated copper concentrations and regions with high iron concentrations.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Copper ; Elemental Bioimaging ; Iron ; Laser Ablation–inductively Coupled Plasma–mass Spectrometry (la–icp–ms) ; Needle Biopsy Specimen ; Wilson’s Disease; Copper; Diagnosis; Gene; Iron; Overload; Atpase; Tissue; Zinc; Drug
Language english
Publication Year 2016
HGF-reported in Year 2016
ISSN (print) / ISBN 0946-672X
e-ISSN 1878-3252
Quellenangaben Volume: 35, Issue: , Pages: 97-102 Article Number: , Supplement: ,
Publisher Urban & Fischer
Publishing Place Jena
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-500390-001
G-500300-001
Scopus ID 84961918558
PubMed ID 27049132
Erfassungsdatum 2016-04-14