Reproducibility Evaluation of Urinary Peptide Detection Using CE-MS

E. Mavrogeorgis, H. Mischak, A. Latosinska, J. Siwy, V. Jankowski*, J. Jankowski*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


In recent years, capillary electrophoresis coupled to mass spectrometry (CE-MS) has been increasingly applied in clinical research especially in the context of chronic and age-associated diseases, such as chronic kidney disease, heart failure and cancer. Biomarkers identified using this technique are already used for diagnosis, prognosis and monitoring of these complex diseases, as well as patient stratification in clinical trials. CE-MS allows for a comprehensive assessment of small molecular weight proteins and peptides (<20 kDa) through the combination of the high resolution and reproducibility of CE and the distinct sensitivity of MS, in a high-throughput system. In this study we assessed CE-MS analytical performance with regards to its inter- and intra-day reproducibility, variability and efficiency in peptide detection, along with a characterization of the urinary peptidome content. To this end, CE-MS performance was evaluated based on 72 measurements of a standard urine sample (60 for inter- and 12 for intra-day assessment) analyzed during the second quarter of 2021. Analysis was performed per run, per peptide, as well as at the level of biomarker panels. The obtained datasets showed high correlation between the different runs, low variation of the ten highest average individual log2 signal intensities (coefficient of variation, CV < 10%) and very low variation of biomarker panels applied (CV close to 1%). The findings of the study support the analytical performance of CE-MS, underlining its value for clinical application.
Original languageEnglish
Article number7260
Number of pages13
Issue number23
Publication statusPublished - 1 Dec 2021


  • biomarker
  • capillary electrophoresis
  • mass spectrometry
  • peptides
  • proteomics
  • urine
  • TOOL


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