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@ARTICLE{Mller:1043478,
      author       = {Müller, Laura and Özdüzenciler, Pelin and
                      Schedlich-Teufer, Charlotte and Seger, Aline and Jergas,
                      Hannah and Fink, Gereon R. and Willbold, Dieter and
                      Sommerauer, Michael and Barbe, Michael T. and Tamgüney,
                      Gültekin},
      title        = {{E}levated α‐{S}ynuclein {A}ggregate {L}evels in the
                      {U}rine of {P}atients with {I}solated {REM} {S}leep
                      {B}ehavior {D}isorder and {P}arkinson's {D}isease},
      journal      = {Annals of neurology},
      volume       = {98},
      number       = {1},
      issn         = {0364-5134},
      address      = {Hoboken, NJ},
      publisher    = {Wiley-Blackwell},
      reportid     = {FZJ-2025-02881},
      pages        = {147 - 151},
      year         = {2025},
      abstract     = {Parkinson's disease (PD) is a neurodegenerative disorder
                      characterized by α‐synuclein aggregation in neurons.
                      Recent advances suggest α‐synuclein aggregates could
                      serve as a biomarker for PD and related synucleinopathies.
                      This study used surface‐based fluorescence intensity
                      distribution analysis (sFIDA) to measure α‐synuclein
                      aggregates in urine. Patients with PD and isolated rapid eye
                      movement sleep behavior disorder, a precursor to PD, had
                      elevated concentrations compared with healthy controls.
                      Sensitivity and specificity were $83\%$ and $65\%$ for PD
                      versus controls and $89\%$ and $62\%$ for isolated rapid eye
                      movement sleep behavior disorder versus controls. The
                      findings highlight sFIDA's potential for diagnosing
                      synucleinopathies. ANN NEUROL 2025;98:147–151},
      cin          = {IBI-7 / INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IBI-7-20200312 / I:(DE-Juel1)INM-3-20090406},
      pnm          = {5244 - Information Processing in Neuronal Networks
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5244},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40285625},
      UT           = {WOS:001475946300001},
      doi          = {10.1002/ana.27250},
      url          = {https://juser.fz-juelich.de/record/1043478},
}