Pilot Study on the Use of Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy for Diagnosing and Characterizing Cardiac Amyloidosis.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
29 Aug 2024
Historique:
received: 15 08 2024
revised: 26 08 2024
accepted: 28 08 2024
medline: 14 9 2024
pubmed: 14 9 2024
entrez: 14 9 2024
Statut: epublish

Résumé

Amyloidosis diagnosis relies on Congo red staining with immunohistochemistry and immunofluorescence for subtyping but lacks sensitivity and specificity. Laser-microdissection mass spectroscopy offers better accuracy but is complex and requires extensive sample preparation. Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy offers a promising alternative for amyloidosis characterization. Cardiac tissue sections from nine patients with amyloidosis and 20 heart transplant recipients were analyzed using ATR-FTIR spectroscopy. Partial least squares discriminant analysis (PLS-DA), principal component analysis (PCA), and hierarchical cluster analysis (HCA) models were used to differentiate healthy post-transplant cardiac tissue from amyloidosis samples and identify amyloidosis subtypes [κ light chain (

Identifiants

pubmed: 39273305
pii: ijms25179358
doi: 10.3390/ijms25179358
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Charlotte Delrue (C)

Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.

Annelore Vandendriessche (A)

Department of Pathology, Ghent University Hospital, 9000 Ghent, Belgium.

Amélie Dendooven (A)

Department of Pathology, Ghent University Hospital, 9000 Ghent, Belgium.

Malaïka Van der Linden (M)

Department of Pathology, Ghent University Hospital, 9000 Ghent, Belgium.

Marijn M Speeckaert (MM)

Department of Nephrology, Ghent University Hospital, 9000 Ghent, Belgium.
Research Foundation-Flanders (FWO), 1000 Brussels, Belgium.

Sander De Bruyne (S)

Department of Diagnostic Sciences, Ghent University, 9000 Ghent, Belgium.

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Classifications MeSH