Multimodal analytical tools for the molecular and elemental characterisation of lesions in brain tissue of multiple sclerosis patients.

IR imaging LA-ICP-MS MALDI-MSI TOF XRF

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
07 Dec 2023
Historique:
received: 13 09 2023
revised: 01 12 2023
accepted: 03 12 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 21 12 2023
Statut: aheadofprint

Résumé

Multiple sclerosis (MS) is a prevalent immune-mediated inflammatory disease of the central nervous system inducing a widespread degradation of myelin and resulting in neurological deficits. Recent advances in molecular and atomic imaging provide the means to probe the microenvironment in affected brain tissues at an unprecedented level of detail and may provide new insights. This study showcases state-of-the-art spectroscopic and mass spectrometric techniques to compare distributions of molecular and atomic entities in MS lesions and surrounding brain tissues. MS brains underwent post-mortem magnetic resonance imaging (MRI) to locate and subsequently dissect MS lesions and surrounding white matter. Digests of lesions and unaffected white matter were analysed via ICP-MS/MS revealing significant differences in concentrations of Li, Mg, P, K, Mn, V, Rb, Ag, Gd and Bi. Micro x-ray fluorescence spectroscopy (μXRF) and laser ablation - inductively coupled plasma - time of flight - mass spectrometry (LA-ICP-ToF-MS) were used as micro-analytical imaging techniques to study distributions of both endogenous and xenobiotic elements. The essential trace elements Fe, Cu and Zn were subsequently calibrated using in-house manufactured gelatine standards. Lipid distributions were studied using IR-micro spectroscopy and matrix assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). MALDI-MSI was complemented with high-resolution tandem mass spectrometry and trapped ion mobility spectroscopy for the annotation of specified phospho- and sphingolipids, revealing specific lipid species decreased in MS lesions compared to surrounding white matter. This explorative study demonstrated that modern molecular and atomic mapping techniques provide high-resolution imaging for relevant bio-indicative entities which may complement our current understanding of the underlying pathophysiological processes.

Identifiants

pubmed: 38128277
pii: S0039-9140(23)01269-9
doi: 10.1016/j.talanta.2023.125518
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125518

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Marten Seeba works for Bruker Corporation.

Auteurs

Peter Niehaus (P)

Institute of Inorganic and Analytical Chemistry, University of Münster, Germany.

Raquel Gonzalez de Vega (R)

Institute of Chemistry, University of Graz, Austria.

Michaela Tanja Haindl (MT)

Department of Neurology, Medical University of Graz, Austria.

Christoph Birkl (C)

Department of Radiology, Medical University of Innsbruck, Austria.

Marlene Leoni (M)

Diagnostic and Research Center for Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Austria.

Anna Maria Birkl-Toeglhofer (AM)

Diagnostic and Research Center for Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Austria; Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Austria.

Johannes Haybaeck (J)

Diagnostic and Research Center for Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Austria.

Stefan Ropele (S)

Department of Neurology, Medical University of Graz, Austria.

Marten Seeba (M)

Bruker Optics, Bruker Corporation, Germany.

Walter Goessler (W)

Institute of Chemistry, University of Graz, Austria.

Uwe Karst (U)

Institute of Inorganic and Analytical Chemistry, University of Münster, Germany.

Christian Langkammer (C)

Department of Neurology, Medical University of Graz, Austria. Electronic address: christian.langkammer@medunigraz.at.

David Clases (D)

Institute of Chemistry, University of Graz, Austria. Electronic address: david.clases@uni-graz.at.

Classifications MeSH