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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Acknowledgements
We thank Craig Brideau for providing technical support and Kevin Chapman for assisting in the preparation of the biopsy specimens.
Funding
Funding for the study was provided by the Department of Medicine, University of Calgary, an Alberta Prion Research Institute Explorations grant, and a Krembil Foundation grant.
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PJB performed the experiments and contributed to data analysis. AAS assisted with the experimental design and data analysis. GA assisted with literature review, study design, and methods. PKS wrote the image analysis software and contributed to study design and data analysis. PKS and DAM conceived of the work. DAM assisted with study design, interpreting results, and wrote the first draft of the manuscript. All authors contributed to the writing of the final manuscript.
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PKS holds an issued patent on methods to detect diseases with abnormal protein aggregation. The other authors declare no other conflicts of interest.
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Brandt, P.J., Stepanchuk, A.A., Andonegui, G. et al. Detection and Typing of Renal Amyloidosis by Fluorescence Spectroscopy Using the Environmentally Sensitive Fluorophore K114. Mol Imaging Biol 25, 221–227 (2023). https://doi.org/10.1007/s11307-022-01754-w
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DOI: https://doi.org/10.1007/s11307-022-01754-w