ABSTRACT
Protein misfolding products - amyloids - tend to form distinct fibrillar structures of the characteristic fold for a given neurodegenerative disease or pathology. Moreover, amyloids (also in the intermediate or distorted state) can act as secondary nuclei for de novo fibrillation. Such secondary nucleation amplifies plaque development correlated with various diseases. Therefore, a versatile and non-destructive method of detection and differentiation between distinct fibrillar structures is of great importance. Amyloids exhibit unique optical properties, i.e. green-blue autofluorescence, which can also be induced by two-photon excitation. Herein, we use this label-free technique to resolve local fibrillar ordering in amyloid superstructures - spherulites. With polarization-dependent two-photon excited amyloid autofluorescence, we resolved fibrillar orientation in the spherulite corona and discussed the presence of amorphous aggregates, distorted fibrils or amyloid intermediate species within the spherulite core. Our polarization sensitive two-photon microscopy investigations are supported by TEM imaging and provide a promising tool for the detection and differentiation between well-developed amyloid fibrils and amorphous/distorted structures present at different stages of the formation of amyloid superstructures and plaques.
Subject(s)
Amyloid , Neurodegenerative Diseases , Amyloid/chemistry , HumansABSTRACT
Sensors are tools for detecting, recognizing, and recording signals from the surrounding environment. They provide measurable information on chemical or physical changes, and thus are widely used in diagnosis, environment monitoring, food quality checks, or process control. Polymers are versatile materials that find a broad range of applications in sensory devices for the biomedical sector and beyond. Sensory materials are expected to exhibit a measurable change of properties in the presence of an analyte or a stimulus, characterized by high sensitivity and selectivity of the signal. Signal parameters can be tuned by material features connected with the restriction of macromolecule shape by crosslinking or folding. Gels are crosslinked, three-dimensional networks that can form cavities of different sizes and forms, which can be adapted to trap particular analytes. A higher level of structural control can be achieved by foldamers, which are macromolecules that can attain well-defined conformation in solution. By increasing control over the three-dimensional structure, we can improve the selectivity of polymer materials, which is one of the crucial requirements for sensors. Here, we discuss various examples of polymer gels and foldamer-based sensor systems. We have classified and described applied polymer materials and used sensing techniques. Finally, we deliberated the necessity and potential of further exploration of the field towards the increased selectivity of sensory devices.
