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@ARTICLE{Kardell:277421,
author = {Kardell, Oliver and Gronauer, Thomas and von Toerne,
Christine and Merl-Pham, Juliane and König, Ann-Christine
and Barth, Teresa K and Mergner, Julia and Ludwig, Christina
and Tüshaus, Johanna and Giesbertz, Pieter and Breimann,
Stephan and Schweizer, Lisa and Müller, Torsten and
Kliewer, Georg and Distler, Ute and Gomez-Zepeda, David and
Popp, Oliver and Qin, Di and Teupser, Daniel and Cox,
Jürgen and Imhof, Axel and Küster, Bernhard and
Lichtenthaler, Stefan F and Krijgsveld, Jeroen and Tenzer,
Stefan and Mertins, Philipp and Coscia, Fabian and Hauck,
Stefanie M},
title = {{M}ulticenter {L}ongitudinal {Q}uality {A}ssessment of
{MS}-{B}ased {P}roteomics in {P}lasma and {S}erum.},
journal = {Journal of proteome research},
volume = {24},
number = {3},
issn = {1535-3893},
address = {Washington, DC},
publisher = {ACS Publications},
reportid = {DZNE-2025-00404},
pages = {1017 - 1029},
year = {2025},
abstract = {Advancing MS-based proteomics toward clinical applications
evolves around developing standardized start-to-finish and
fit-for-purpose workflows for clinical specimens. Steps
along the method design involve the determination and
optimization of several bioanalytical parameters such as
selectivity, sensitivity, accuracy, and precision. In a
joint effort, eight proteomics laboratories belonging to the
MSCoreSys initiative including the CLINSPECT-M, MSTARS,
DIASyM, and SMART-CARE consortia performed a longitudinal
round-robin study to assess the analysis performance of
plasma and serum as clinically relevant samples. A variety
of LC-MS/MS setups including mass spectrometer models from
ThermoFisher and Bruker as well as LC systems from
ThermoFisher, Evosep, and Waters Corporation were used in
this study. As key performance indicators, sensitivity,
precision, and reproducibility were monitored over time.
Protein identifications range between 300 and 400 IDs across
different state-of-the-art MS instruments, with timsTOF Pro,
Orbitrap Exploris 480, and Q Exactive HF-X being among the
top performers. Overall, 71 proteins are reproducibly
detectable in all setups in both serum and plasma samples,
and 22 of these proteins are FDA-approved biomarkers, which
are reproducibly quantified (CV < $20\%$ with label-free
quantification). In total, the round-robin study highlights
a promising baseline for bringing MS-based measurements of
serum and plasma samples closer to clinical utility.},
keywords = {Humans / Proteomics: methods / Proteomics: standards /
Tandem Mass Spectrometry: standards / Tandem Mass
Spectrometry: methods / Longitudinal Studies /
Chromatography, Liquid: methods / Reproducibility of Results
/ Biomarkers: blood / Blood Proteins: analysis / Plasma:
chemistry / Serum: chemistry / LC-MS/MS (Other) / R package
mpwR (Other) / clinical specimen (Other) / longitudinal
round-robin study (Other) / plasma (Other) / serum (Other) /
Biomarkers (NLM Chemicals) / Blood Proteins (NLM Chemicals)},
cin = {AG Lichtenthaler / AG Steiner},
ddc = {540},
cid = {I:(DE-2719)1110006 / I:(DE-2719)1110000-1},
pnm = {352 - Disease Mechanisms (POF4-352)},
pid = {G:(DE-HGF)POF4-352},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:39918541},
doi = {10.1021/acs.jproteome.4c00644},
url = {https://pub.dzne.de/record/277421},
}