Protein misfolding: understanding biology to classify and treat synucleinopathies

Outeiro, Tiago Fleming ; Höglinger, Günter ; Lang, Anthony E. und Vieira, Tuane C. R. G. (2025): Protein misfolding: understanding biology to classify and treat synucleinopathies. In: Journal of Neural Transmission, Vol. 132: pp. 1645-1654

Abstract

Protein misfolding and aggregation is a major pathological hallmark in a variety of human conditions, including cancer, diabetes, and neurodegeneration. However, we still do not fully understand the role of protein accumulation in disease. Interestingly, recent breakthroughs in artificial intelligence (AI) are having a tremendous impact on our ability to predict three-dimensional protein structures and understand the molecular rules governing protein folding/misfolding. This progress will enable us to understand how intrinsic and extrinsic factors trigger protein misfolding, thereby changing protein function. These changes, in some cases, are related to normal biological responses and, in other cases, associated with pathological alterations, such as those found in many neurodegenerative disorders. Here, we provide a brief historical perspective of how findings in the field of prion diseases and prion biology have enabled tremendous advances that are now forming the basis for our understanding of disease processes and discuss how this knowledge is now emerging as central for our ability to classify, diagnose, and treat devastating neurodegenerative disorders such as Parkinson’s and Alzheimer’s diseases.

• Item Type: Journal article
• Faculties: Medicine > Munich Cluster for Systems Neurology (SyNergy); Medicine > Institute for Stroke and Dementia Research (ISD); Medicine > Medical Center of the University of Munich > Neurological Clinic and Polyclinic with Friedrich Baur Institute
• Subjects: 600 Technology > 610 Medicine and health
• ISSN: 0300-9564
• Language: English
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198