Matrix-assisted laser desorption/ionization mass spectrometry imaging as a new tool for molecular histopathology in epilepsy surgery.

FFPE epilepsy surgery focal cortical dysplasia human tissues mass spectrometry imaging peptides

Journal

Epilepsia
ISSN: 1528-1167
Titre abrégé: Epilepsia
Pays: United States
ID NLM: 2983306R

Informations de publication

Date de publication:
05 Oct 2024
Historique:
revised: 06 09 2024
received: 25 06 2024
accepted: 19 09 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: aheadofprint

Résumé

Epilepsy surgery is a treatment option for patients with seizures that do not respond to pharmacotherapy. The histopathological characterization of the resected tissue has an important prognostic value to define postoperative seizure outcome in these patients. However, the diagnostic classification process based on microscopic assessment remains challenging, particularly in the case of focal cortical dysplasia (FCD). Imaging mass spectrometry is a spatial omics technique that could improve tissue phenotyping and patient stratification by investigating hundreds of biomolecules within a single tissue sample, without the need for target-specific reagents. An in situ proteomic technique called matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is here investigated as a potential new tool to expand conventional diagnosis on standard paraffin brain tissue sections. Unsupervised and region of interest-based MALDI-MSI analyses of sections from 10 FCD type IIb (FCDIIb) cases were performed, and the results were validated by immunohistochemistry. MALDI-MSI identified distinct histopathological features and the boundaries of the dysplastic lesion. The capability to visualize the spatial distribution of well-known diagnostic markers enabling multiplex measurements on single tissue sections was demonstrated. Finally, a fingerprint list of potential discriminant peptides that distinguish FCD core from peri-FCD tissue was generated. This is the first study that explores the potential application of MALDI-MSI in epilepsy postsurgery fixed tissue, by utilizing the well-characterized FCDIIb features as a model. Extending these preliminary analyses to a larger cohort of patients will generate spectral libraries of molecular signatures that discriminate tissue features and will contribute to patient phenotyping.

Identifiants

pubmed: 39367795
doi: 10.1111/epi.18136
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministero della Salute

Informations de copyright

© 2024 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.

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Auteurs

Cinzia Cagnoli (C)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Dalia De Santis (D)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Claudio Caccia (C)

Medical Genetics and Neurogenetic Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Italia Bongarzone (I)

Department of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.

Giulia Capitoli (G)

Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro, Italy.

Laura Rossini (L)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Michele Rizzi (M)

Neurosurgery Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Francesco Deleo (F)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Laura Tassi (L)

Claudio Munari Epilepsy Surgery Center, Niguarda Hospital, Milan, Italy.

Marco de Curtis (M)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Rita Garbelli (R)

Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Classifications MeSH