001     22035
005     20180210125905.0
024 7 _ |2 pmid
|a pmid:22093913
024 7 _ |2 DOI
|a 10.3233/BSI-2012-0005
037 _ _ |a PreJuSER-22035
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Matusch, A.
|b 0
|u FZJ
|0 P:(DE-Juel1)138474
245 _ _ |a Bio-imaging of metals in a mouse model of Alzheimer's disease by laser ablation inductively coupled plasma mass spectrometry
260 _ _ |c 2012
|a Birmingham, Ala.
|b IOS Press
300 _ _ |a 57 - 65
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |a Biomedical Spectroscopy and Imaging
|0 26163
|y 1
|v 1
500 _ _ |3 POF3_Assignment on 2016-02-29
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a Quantitative mass spectrometry imaging (MSI) of metals in biological tissue sections by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) using matrix-matched laboratory standards has been established previously. Here an improved calibration strategy is proposed, correcting for variable section thickness by normalization of sample and standard ion intensities to the average 13C+ ion signal of all ablated sample and standard material, respectively. Altered metal metabolism is known in Alzheimer's disease of which amyloid precursor protein (APP) transgenic mice are a popular model. Quantitative distribution analysis of Fe, Zn, Cu and Mn in horizontal brain sections of 45 week old Tg2576 transgenic mice showed a 22% decrease of Cu and changes of Fe, Zn and Mn of −1%, −7% and −17%. Local evaluation across a set of anatomically defined regions of interest showed an increased circum-ventricular to parenchyma ratio of Cu pointing to a higher Cu efflux and a heterogeneous pattern of Fe changes pointing to clearance of Fe at the sites of early pathology. Congruencies to synchrotron X-ray fluorescence data on distinct types of APP mice are discussed. MSI by LA-ICP-MS thus proved as a valuable and versatile tool for studying the cerebral metallo-architecture and the validation of animal models.
536 _ _ |a Funktion und Dysfunktion des Nervensystems
|c P33
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588 _ _ |a Dataset connected to Pubmed
650 _ 2 |2 MeSH
|a Adolescent
650 _ 2 |2 MeSH
|a Adult
650 _ 2 |2 MeSH
|a Bacteremia: epidemiology
650 _ 2 |2 MeSH
|a Bacteremia: microbiology
650 _ 2 |2 MeSH
|a Bacteria: isolation & purification
650 _ 2 |2 MeSH
|a Child
650 _ 2 |2 MeSH
|a Child, Preschool
650 _ 2 |2 MeSH
|a Female
650 _ 2 |2 MeSH
|a Gram-Negative Bacterial Infections: epidemiology
650 _ 2 |2 MeSH
|a Gram-Negative Bacterial Infections: microbiology
650 _ 2 |2 MeSH
|a Gram-Positive Bacterial Infections: epidemiology
650 _ 2 |2 MeSH
|a Gram-Positive Bacterial Infections: microbiology
650 _ 2 |2 MeSH
|a Humans
650 _ 2 |2 MeSH
|a Incidence
650 _ 2 |2 MeSH
|a Infant
650 _ 2 |2 MeSH
|a Intestine, Small: transplantation
650 _ 2 |2 MeSH
|a Male
650 _ 2 |2 MeSH
|a Middle Aged
650 _ 2 |2 MeSH
|a Postoperative Complications
650 _ 2 |2 MeSH
|a Retrospective Studies
650 _ 2 |2 MeSH
|a Risk Factors
650 _ 2 |2 MeSH
|a Time Factors
650 _ 2 |2 MeSH
|a Young Adult
700 1 _ |a Becker, J.S.
|b 1
|u FZJ
|0 P:(DE-Juel1)VDB96675
773 _ _ |0 PERI:(DE-600)2675605-5
|a 10.3233/BSI-2012-0005
|g Vol. 1, p. 57 - 65
|p 57 - 65
|q 1<57 - 65
|v 1
|y 2012
|t Biomedical Spectroscopy and Imaging
|x 2212-8794
856 7 _ |u http://dx.doi.org/10.3233/BSI-2012-0005
909 C O |o oai:juser.fz-juelich.de:22035
|p VDB
913 1 _ |b Gesundheit
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|l Funktion und Dysfunktion des Nervensystems
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|v Funktion und Dysfunktion des Nervensystems
|x 0
913 2 _ |a DE-HGF
|b Key Technologies
|l Decoding the Human Brain
|1 G:(DE-HGF)POF3-570
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|v Addenda
|x 0
914 1 _ |y 2012
915 _ _ |a Peer Review unknown
|0 StatID:(DE-HGF)0040
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920 1 _ |k ZCH
|l Zentralabteilung für Chemische Analysen
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980 _ _ |a journal
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980 _ _ |a I:(DE-Juel1)INM-2-20090406
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981 _ _ |a I:(DE-Juel1)ZEA-3-20090406
981 _ _ |a I:(DE-Juel1)INM-2-20090406
981 _ _ |a I:(DE-Juel1)ZCH-20090406


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