%0 Chart or Table
%A Muqaku, Besnik
%A Oeckl, Patrick
%T Dataset: Peptidomic analysis of CSF reveals new biomarker candidates for amyotrophic lateral sclerosis
%I PRoteomics IDEntifications Database
%M DZNE-2025-00808
%D 2025
%X 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
%F PUB:(DE-HGF)32
%9 Dataset
%U https://pub.dzne.de/record/279481