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Detection and Typing of Renal Amyloidosis by Fluorescence Spectroscopy Using the Environmentally Sensitive Fluorophore K114.
Brandt, Paula J; Stepanchuk, Anastasiia A; Andonegui, Graciela; Benediktsson, Hallgrimur; Stys, Peter K; Muruve, Daniel A.
Afiliação
  • Brandt PJ; Department of Medicine, University of Calgary, Calgary, AB, Canada.
  • Stepanchuk AA; Snyder Institute for Chronic Diseases, University of Calgary, Calgary, AB, Canada.
  • Andonegui G; Cumming School of Medicine, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, Canada.
  • Benediktsson H; Cumming School of Medicine, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, Canada.
  • Stys PK; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
  • Muruve DA; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
Mol Imaging Biol ; 25(1): 221-227, 2023 02.
Article em En | MEDLINE | ID: mdl-35857157
ABSTRACT

PURPOSE:

To demonstrate that spectral analysis using the K114 fluorophore can detect and differentiate AL and AA renal amyloidosis. PROCEDURES Kidney biopsies from patients with AL amyloidosis, AA amyloidosis, and normal samples with no evident pathology were stained with Congo Red and K114. The specimens were imaged on a spectral confocal microscope.

RESULTS:

Congo Red displayed homogeneous spectra across the three tissue types while K114 chromatically distinguished between normal tissue, AL amyloid, and AA amyloid. Additionally, Congo Red displayed an increased risk of false positive staining compared to K114. Spectral phasors computed from K114-stained tissue sections quantitatively differentiated the three tissue types. K114-stained amyloid deposits displayed a significantly greater increase in brightness after 50 images acquired in rapid succession compared to normal tissue. Quantitative analysis of intensity changes in the background of diseased tissue also differentiated AL and AA amyloid samples, suggesting widespread amyloid deposition. Both amyloid and the backgrounds of diseased samples red-shifted while normal tissue blue-shifted in response to repeated imaging, supporting this theory.

CONCLUSIONS:

K114 staining of renal biopsies is a promising technique to detect and differentiate types of renal amyloidosis. Due to the advantages this method has over traditional Congo Red staining, the techniques presented here warrant further development for potential use in clinical settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vermelho Congo / Amiloidose Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vermelho Congo / Amiloidose Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article