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Elemental quantification and analysis of structural abnormalities in neurons from Parkinson's-diseased brains by X-ray fluorescence microscopy and diffraction.
Joppe, Karina; Nicolas, Jan-David; Grünewald, Tilman A; Eckermann, Marina; Salditt, Tim; Lingor, Paul.
Afiliação
  • Joppe K; Department of Neurology, University Medical Center Goettingen, Robert-Koch-Straße 40, 37075 Goettingen, Germany.
  • Nicolas JD; Center for Biostructural Imaging of Neurodegeneration, University Medical Center Goettingen, Von-Siebold-Straße 3a, 37075 Goettingen, Germany.
  • Grünewald TA; These authors contributed equally.
  • Eckermann M; Institute for X-Ray Physics, Georg-August-University Goettingen, Friedrich-Hund-Platz 1, 37077 Goettingen, Germany.
  • Salditt T; These authors contributed equally.
  • Lingor P; European Synchrotron Radiation Facility, 71 Avenue des Martyrs, 38043 Grenoble, France.
Biomed Opt Express ; 11(7): 3423-3443, 2020 Jul 01.
Article em En | MEDLINE | ID: mdl-33014542
In this work we use scanning X-ray microscopy to study the structure and elemental composition of neuromelanin-positive neurons in substantia nigra tissue of Parkinson patients (PD) and controls. A total of 53 neurons were analyzed with X-ray fluorescence (XRF) and diffraction using sub-µm-focused synchrotron radiation. A statistical evaluation identified copper as the most group-discriminating element and indicated that interindividual and intraindividual variations are of great relevance in tissue measurements of diseased patients and prevent from automated group clustering. XRF analyses of two Lewy bodies (LBs) highlight a heterogeneity in elemental distributions in these LBs, whereas an innovative X-ray diffraction-based method approach was used to reveal ß-sheet-rich crystalline structures in LBs. Overall, sub-µm-focus X-ray microscopy highlighted the elemental heterogeneity in PD pathology.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article