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@ARTICLE{Outeiro:282333,
      author       = {Outeiro, Tiago Fleming and Höglinger, Günter and Lang,
                      Anthony E and Vieira, Tuane C R G},
      title        = {{P}rotein misfolding: understanding biology to classify and
                      treat synucleinopathies.},
      journal      = {Journal of neural transmission},
      volume       = {132},
      number       = {11},
      issn         = {0375-9245},
      address      = {Wien [u.a.]},
      publisher    = {Springer},
      reportid     = {DZNE-2025-01294},
      pages        = {1645 - 1654},
      year         = {2025},
      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.},
      subtyp        = {Review Article},
      keywords     = {Humans / Synucleinopathies: metabolism / Synucleinopathies:
                      classification / Synucleinopathies: therapy / Protein
                      Folding / Proteostasis Deficiencies: metabolism /
                      Proteostasis Deficiencies: therapy / Animals /
                      Alpha-synuclein (Other) / Biomarkers (Other) / Disease
                      classification (Other) / Neurodegeneration (Other) /
                      Parkinson’s disease (Other) / Protein aggregation (Other)},
      cin          = {AG Fischer / Clinical Research (Munich)},
      ddc          = {610},
      cid          = {I:(DE-2719)1410002 / I:(DE-2719)1111015},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 353 - Clinical and
                      Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39932548},
      doi          = {10.1007/s00702-025-02889-0},
      url          = {https://pub.dzne.de/record/282333},
}