Spectral Fluorescence Pathology of Protein Misfolding Disorders.

Protein misfolding has been extensively studied in the context of neurodegenerative disorders and systemic amyloidoses. Due to misfolding and aggregation of proteins being highly heterogeneous and generating a variety of structures, a growing body of evidence illustrates numerous ways how the aggregates contribute to progression of diseases such as Alzheimer's disease, Parkinson's disease, and prion disorders. Different misfolded species of the same protein, commonly referred to as strains, appear to play a significant role in shaping the disease clinical phenotype and clinical progression. The distinct toxicity profiles of various misfolded proteins underscore their importance. Current diagnostics struggle to differentiate among these strains early in the disease course. This review explores the potential of spectral fluorescence approaches to illuminate the complexities of protein misfolding pathology and discusses the applications of advanced spectral methods in the detection and characterization of protein misfolding disorders. By examining spectrally variable probes, current data analysis approaches, and important considerations for the use of these techniques, this review aims to provide an overview of the progress made in this field and highlights directions for future research.

Amyloid dye pairs as spectral sensors for enhanced detection and differentiation of misfolded proteins.

Protein misfolding with subsequent formation of cross-ß-sheet-rich fibrils is a well-known pathological hallmark of various neurodegenerative conditions, including Alzheimer's disease (AD). Recent evidence suggests that specific protein conformations may be the primary drivers of disease progression, differentiation of which remains a challenge with conventional methods. We have previously described a unique phenomenon of light-induced fluorescence enhancement and spectral changes of the amyloid dyes K114 and BSB, and demonstrated its utility in characterizing different amyloid fibrils. In this study, we further characterize and explore the potential of photoconversion, coupled with dual-probe staining, for improved detection of heterogeneity of amyloids using silk fibers and 5xFAD mouse brain sections. BSB and K114 were paired with either Nile Red or MCAAD-3, aiming to increase the sensitivity and specificity of staining and misfolded protein detection via complementary binding and FRET. Principal component analysis of spectral data revealed significant differences between various amyloids, and was able to detect subtle amyloid pathology in the 5xFAD mouse background brain parenchyma.

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

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.

Dual-probe fluorescence spectroscopy for sensitive quantitation of Alzheimer's amyloid pathology.

Protein misfolding is a prominent pathological hallmark of neurodegenerative disorders, including Alzheimer's disease (AD). Studies have shown that the diversity of ß sheet-rich protein deposits (such as amyloid ß plaques and neurofibrillary tangles), present across different brain regions, might underlie different disease phenotypes and only certain types of aggregates might be associated with cognitive decline. Conformationally sensitive fluorescent amyloid probes have the ability to report different structures of protein aggregates by virtue of their shifting emission spectra. Here we defined the binding affinity of the fluorescent amyloid probes BSB and MCAAD to disease-relevant protein aggregates, and combined the two probes to examine formalin-fixed paraffin-embedded mouse and human brain samples. Coupled with quantitative spectral phasor analysis, the dual-probe staining approach revealed remarkable heterogeneity of protein aggregates across the samples. Distinct emission spectra were consistent with certain types of deposits present in the mouse and human brain sections. The sensitivity of this staining, imaging and analysis approach outperformed conventional immunohistochemistry with the detected spectral differences between the greater parenchyma of cognitively normal and AD cases indicating a subtle yet widespread proteopathy associated with disease. Our method offers more sensitive, objective, and quantitative examination of protein misfolding pathology using conventional tissue sections.

Diagnosing Alzheimer's Disease from Circulating Blood Leukocytes Using a Fluorescent Amyloid Probe.

BACKGROUND: Toxic amyloid-ß (Aß) peptides aggregate into higher molecular weight assemblies and accumulate not only in the extracellular space, but also in the walls of blood vessels in the brain, increasing their permeability, and promoting immune cell migration and activation. Given the prominent role of the immune system, phagocytic blood cells may contact pathological brain materials. OBJECTIVE: To develop a novel method for early Alzheimer's disease (AD) detection, we used blood leukocytes, that could act as "sentinels" after trafficking through the brain microvasculature, to detect pathological amyloid by labelling with a conformationally-sensitive fluorescent amyloid probe and imaging with confocal spectral microscopy. METHODS: Formalin-fixed peripheral blood mononuclear cells (PBMCs) from cognitively healthy control (HC) subjects, mild cognitive impairment (MCI) and AD patients were stained with the fluorescent amyloid probe K114, and imaged. Results were validated against cerebrospinal fluid (CSF) biomarkers and clinical diagnosis. RESULTS: K114-labeled leukocytes exhibited distinctive fluorescent spectral signatures in MCI/AD subjects. Comparing subjects with single CSF biomarker-positive AD/MCI to negative controls, our technique yielded modest AUCs, which improved to the 0.90 range when only MCI subjects were included in order to measure performance in an early disease state. Combining CSF Aß42 and t-Tau metrics further improved the AUC to 0.93. CONCLUSION: Our method holds promise for sensitive detection of AD-related protein misfolding in circulating leukocytes, particularly in the early stages of disease.

Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disease that exacts a huge toll on the patient, the healthcare system and society in general. Abundance and morphology of protein aggregates such as amyloid ß plaques and tau tangles, along with cortical atrophy and gliosis are used as measures to assess the changes in the brain induced by the disease. Not all of these parameters have a direct correlation with cognitive decline. Studies have shown that only particular protein conformers can be the main drivers of disease progression, and conventional approaches are unable to distinguish different conformations of disease-relevant proteins. METHODS AND RESULTS: Using the fluorescent amyloid probes K114 and CRANAD-3 and spectral confocal microscopy, we examined formalin-fixed paraffin-embedded brain samples from different control and AD cases. Based on the emission spectra of the probes used in this study, we found that certain spectral signatures can be correlated with different aggregates formed by different proteins. The combination of spectral imaging and advanced image analysis tools allowed us to detect variability of protein deposits across the samples. CONCLUSION: Our proposed method offers a quicker and easier neuropathological assessment of tissue samples, as well as introducing an additional parameter by which protein aggregates can be discriminated.

Spectral photokinetic conversion of the fluorescent probes BSB and K114 for improved detection of amyloid assemblies.

Cross-ß-sheet-rich protein fibrils are infamous for their accumulation in the brains of patients diagnosed with a number of neurodegenerative diseases, including Alzheimer's disease (AD). Disease-relevant fibrils are a result of deviation of the proteins from their native structure to a misfolded state resulting in aggregation and formation of fibrils. In this study, we explored the phenomenon of light-induced fluorescence enhancement of amyloid assemblies stained with two amyloid probes (BSB and K114) using Bombyx mori silk and human AD brain sections. The photoconversion effect, accompanied by an increase in fluorescence intensity and spectral blue-shift, was highly dependent on the chemical structures of the dyes, pH, presence of glycerol and the type of amyloid. The degree of intensity and spectral change over time in response to high laser exposure were quantified and analyzed using custom-written analysis tools. Our findings provide further insight into possible mechanisms of amyloid-mediated photoconversion kinetics of K114 and BSB, and may provide more insight into the molecular nature of various amyloid assemblies.

Complex Photophysical Properties of K114 Make for a Versatile Fluorescent Probe for Amyloid Detection.

Protein aggregation is a hallmark of Alzheimer's disease (AD) and many other neurodegenerative disorders. Small organic fluorophores such as Congo Red preferentially bind to cross-ß-sheet-rich deposits and have been used to label amyloid plaques and tau tangles in histological samples. However, distinguishing between different conformations of protein aggregates is not trivial. Using silkworm and spider silks (prototypical amyloids) and transgenic AD mouse (5XFAD) and human AD brain samples, we report how spectral confocal microscopy allowed for improved detection and differentiation of protein aggregates based on the unexpected photophysical behavior of the amyloid-specific dye K114. The pH and excitation power had pronounced effects on the emission spectrum and intensity of amyloid-bound K114 fluorescence. When bound to ß-sheet-rich assemblies, the emission spectrum of K114 was governed by the local pH of the binding pockets much more than by the pH of the mounting medium, likely due to ionization of titratable phenols. Unexpectedly, exposure to high excitation power caused a permanent increase in fluorescence intensity and a spectral blue-shift. These light-induced fluorescence changes were dependent in a complex manner on laser power, exposure time, pH, and amyloid type examined. The above-mentioned phenomena were observed in silk fibers and Alzheimer brain sections from mouse and human, indicating that this may be a general characteristic of K114 when bound to tightly aggregated macromolecules. Potential mechanisms are discussed, likely involving photoinduced electron transfer. Our findings illustrate how the complex photophysical behavior of amyloid-bound K114 can be exploited for improved detection and differentiation of protein aggregates.