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@MISC{Muqaku:279481,
      author       = {Muqaku, Besnik and Oeckl, Patrick},
      title        = {{D}ataset: {P}eptidomic analysis of {CSF} reveals new
                      biomarker candidates for amyotrophic lateral sclerosis},
      publisher    = {PRoteomics IDEntifications Database},
      reportid     = {DZNE-2025-00808},
      year         = {2025},
      abstract     = {Amyotrophic lateral sclerosis (ALS) is a devastating
                      neurodegenerative disease and novel biomarkers are needed.
                      We applied mass-spectrometry-based peptidomic analysis in
                      cerebrospinal fluid (CSF) samples of ALS and
                      non-neurodegenerative control patients (Con) from a
                      discovery (n=48) and validation (n=109) cohort for biomarker
                      discovery. We identified 33605 peptides in CSF samples from
                      the discovery cohort. Systematic selection for the best
                      candidates revealed a targeted method with eight peptides
                      derived from seven proteins. In the validation cohort, NFL,
                      MAP1B, MYL1, APOC1 peptides were up-regulated and peptides
                      from CADM3, SCG1 and PENK down-regulated in ALS compared to
                      Con. Combination of all peptides in a logistic regression
                      model led to an area under the curve value of $98\%$ for the
                      discrimination of ALS from controls. Data of the NFL peptide
                      strongly correlated with an established NFL immunoassay
                      (Ella, r=0.97). The peptide biomarker candidates are derived
                      from proteins with different function and their
                      determination with our method provides the opportunity for
                      simultaneous investigation of key processes in ALS and other
                      neurodegenerative diseases.},
      cin          = {AG Öckl},
      cid          = {I:(DE-2719)5000073},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)32},
      url          = {https://pub.dzne.de/record/279481},
}