Evidence map›Paper›PMID 35857157›Full record

ArticleMolecular imaging and biology2023

Detection and Typing of Renal Amyloidosis by Fluorescence Spectroscopy Using the Environmentally Sensitive Fluorophore K114.

Paula J Brandt, Anastasiia A Stepanchuk, Graciela Andonegui, Hallgrimur Benediktsson, Peter K Stys, Daniel A Muruve

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Article in Molecular imaging and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Paula J BrandtDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Anastasiia A StepanchukCumming School of Medicine, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, Canada.
Graciela AndoneguiDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Hallgrimur BenediktssonSnyder Institute for Chronic Diseases, University of Calgary, Calgary, AB, Canada.
Peter K StysCumming School of Medicine, University of Calgary, 3280 Hospital Dr. NW, Calgary, AB, Canada.
Daniel A MuruveDepartment of Medicine, University of Calgary, Calgary, AB, Canada. dmuruve@ucalgary.ca.ORCID 0000-0003-1757-218X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo 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.

resultsCongo 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.

conclusionsK114 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.

Indexed as

AmyloidosisCongo RedAmyloidFluorescent DyesHumansSerum Amyloid A ProteinSpectrometry, FluorescenceAmyloidCongo RedFluorescent DyesSerum Amyloid A ProteinAmyloidosisKidneySpectroscopy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.