Neurodegenerative diseases such as Alzheimer's disease and amyotrophic lateral sclerosis are characterized by progressive neuronal loss and the accumulation of misfolded proteins including amyloid proteins. Current therapeutic options include the use of antibodies for these proteins, but novel chemical strategies need to be developed. The disaccharide trehalose has been widely reported to prevent misfolding and aggregation of proteins, and we therefore investigated the conjugation of this moiety to biocompatible peptide amphiphiles (TPAs) known to undergo supramolecular polymerization. Using X-ray scattering, circular dichroism, and infrared spectroscopy, we found that trehalose conjugation destabilized the internal beta-sheet structures within the TPA supramolecular polymers as evidenced by a lower thermal transition. Thioflavin T fluorescence showed that these metastable TPA nanofibers suppressed A42 aggregation. Interestingly, we found that the suppression involved supramolecular copolymerization of TPA polymers with A beta 42, which effectively trapped the peptides within the filamentous structures. In vitro assays with human induced pluripotent stem cell-derived neurons demonstrated that these TPAs significantly improved neuron survival compared to other conditions. Our study highlights the potential of properly tuned supramolecular polymerizations of monomers to safely remove amyloidogenic proteins in neurodegeneration.
The extracellular matrix (ECM) is a dynamic and complex network of proteins and molecules that surrounds cells and tissues in the nervous system and orchestrates a myriad of biological functions. This review carefully examines the diverse interactions between cells and the ECM, as well as the transformative chemical and physical changes that the ECM undergoes during neural development, aging, and disease. These transformations play a pivotal role in shaping tissue morphogenesis and neural activity, thereby influencing the functionality of the central nervous system (CNS). In our comprehensive review, we describe the diverse behaviors of the CNS ECM in different physiological and pathological scenarios and explore the unique properties that make ECM-based strategies attractive for CNS repair and regeneration. Addressing the challenges of scalability, variability, and integration with host tissues, we review how advanced natural, synthetic, and combinatorial matrix approaches enhance biocompatibility, mechanical properties, and functional recovery. Overall, this review highlights the potential of decellularized ECM as a powerful tool for CNS modeling and regenerative purposes and sets the stage for future research in this exciting field. This article is categorized under: Implantable Materials and Surgical Technologies > Nanotechnology in Tissue Repair and Replacement Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease Implantable Materials and Surgical Technologies > Nanomaterials and Implants
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