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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)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
2.550
1.066
21
21
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
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
Sprache
englisch
Veröffentlichungsjahr
2016
HGF-Berichtsjahr
2016
ISSN (print) / ISBN
0946-672X
e-ISSN
1878-3252
Quellenangaben
Band: 35,
Seiten: 97-102
Verlag
Urban & Fischer
Verlagsort
Jena
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30205 - Bioengineering and Digital Health
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-500390-001
G-500300-001
G-500300-001
WOS ID
WOS:000374623000012
Scopus ID
84961918558
PubMed ID
27049132
Erfassungsdatum
2016-04-14