Authors
Michalik, S., Kalaidopoulou Nteak, S., Drouin, N., Salazar, M. G., Hammer, E., Dhople, V., Holtfreter, S., Weiss, S., van den Toorn, H., Broker, B., Domanska, G., Volker, U., Heck, A. J. R.
Abstract
Advancements in mass spectrometry have transformed plasma proteomics, allowing for high-throughput analysis of large cohorts. This study utilized the TIMES cohort, consisting of 51 healthy participants monitored monthly over 12 months, to evaluate intra- and inter-individual variability in the plasma proteome. Approximately 600 samples were analyzed in two independent laboratories, revealing strong correlations despite methodological differences. The study focused on the stability of the plasma proteome within donors over a year, with larger differences observed between donors. A support vector machine model achieved a 98% median classification accuracy, confirming stable, donor-specific proteomic profiles. Immunoglobulins, often overlooked in plasma proteomics, were found to contribute significantly to donor-specific signatures, showing pronounced inter-individual variability but remarkable intra-donor stability. In contrast, C-reactive protein and other inflammation markers exhibited significant temporal fluctuations and donor-specific baseline levels. This inter-laboratory study highlights the importance of longitudinal sampling for biomarker discovery, the robustness of MS-based proteomic workflows, and provides new insights into immunoglobulin dynamics and variability in human plasma.
Preprint server:
bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Nov 2025.
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