Evidence map›Paper›PMID 39918541›Full record

ArticleJournal of proteome research2025

Multicenter Longitudinal Quality Assessment of MS-Based Proteomics in Plasma and Serum.

Oliver Kardell, Thomas Gronauer, Christine von Toerne, Juliane Merl-Pham, Ann-Christine König, Teresa K Barth, Julia Mergner, Christina Ludwig, Johanna Tüshaus, Pieter Giesbertz and 18 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Proteomics for precision nutrition: current evidence and future directions.Current opinion in clinical nutrition and metabolic care · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Oliver KardellMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.ORCID 0000-0002-6703-7997
Thomas GronauerMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.
Christine von ToerneMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.
Juliane Merl-PhamMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.
Ann-Christine KönigMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.
Teresa K BarthClinical Protein Analysis Unit (ClinZfP), Biomedical Center, Faculty of Medicine, LMU Munich, 82152 Martinsried, Germany.
Julia MergnerBavarian Center for Biomolecular Mass Spectrometry at Klinikum rechts der Isar (BayBioMS@MRI), Technical University of Munich, 80333 Munich, Germany.
Christina LudwigBavarian Center for Biomolecular Mass Spectrometry (BayBioMS), School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-6131-7322
Johanna TüshausBavarian Center for Biomolecular Mass Spectrometry (BayBioMS), School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.
Pieter GiesbertzGerman Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
Stephan BreimannGerman Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.ORCID 0000-0002-0305-3373
Lisa SchweizerDepartment of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Martinsried 82152, Germany.
Torsten MüllerGerman Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Georg KliewerGerman Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Ute DistlerInstitute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany.ORCID 0000-0002-8031-6384
David Gomez-ZepedaGerman Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0002-9467-1213
Oliver PoppMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
Di QinMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
Daniel TeupserInstitute of Laboratory Medicine, University Hospital, LMU Munich, 81377 Munich, Germany.
Jürgen CoxComputational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried 82152, Germany.ORCID 0000-0001-8597-205X
Axel ImhofClinical Protein Analysis Unit (ClinZfP), Biomedical Center, Faculty of Medicine, LMU Munich, 82152 Martinsried, Germany.ORCID 0000-0003-2993-8249
Bernhard KüsterBavarian Center for Biomolecular Mass Spectrometry (BayBioMS), School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-9094-1677
Stefan F LichtenthalerGerman Center for Neurodegenerative Diseases (DZNE) Munich, DZNE, Munich 81377, Germany.
Jeroen KrijgsveldGerman Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Stefan TenzerInstitute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany.ORCID 0000-0003-3034-0017
Philipp MertinsMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
Fabian CosciaMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.ORCID 0000-0002-2244-5081
Stefanie M HauckMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich 80939, Germany.ORCID 0000-0002-1630-6827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Blood ProteinsPlasmaProteomicsSerumTandem Mass SpectrometryChromatography, LiquidHumansLongitudinal StudiesReproducibility of ResultsBlood Proteinsclinical specimenLC-MS/MSlongitudinal round-robin studyplasmaR package mpwRserum

Identifiers

PMID39918541
PMCPMC11894660

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.