Evidence map›Paper›PMID 41430040›Full record

ArticleNature communications2025

Cross-platform clinical proteomics using the Charité open standard for plasma proteomics (OSPP).

Ziyue Wang, Vadim Farztdinov, Ludwig Roman Sinn, Pinkus Tober-Lau, Daniela Ludwig, Anja Freiwald, Fatma Amari, Kathrin Textoris-Taube, Agathe Niewienda, Anna Sophie Welter and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ziyue WangDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-4121-4799
Vadim FarztdinovCore Facility-High-Throughput Mass Spectrometry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Ludwig Roman SinnDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-4692-0681
Pinkus Tober-LauDepartment of Infectious Diseases and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-9148-3663
Daniela LudwigDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Anja FreiwaldDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Fatma AmariDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Kathrin Textoris-TaubeDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Agathe NiewiendaDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Anna Sophie WelterProteome Dynamics, Max Delbrück Center for Molecular Medicine, Berlin, Germany.ORCID http://orcid.org/0009-0003-9846-3889
Alan An Jung WeiProteome Dynamics, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Luise LuckauEliptica Limited, The London Cancer Hub, London, Sutton, UK.
Florian KurthDepartment of Infectious Diseases and Critical Care Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-3807-473X
Matthias SelbachProteome Dynamics, Max Delbrück Center for Molecular Medicine, Berlin, Germany.ORCID http://orcid.org/0000-0003-2454-8751
Johannes HartlBerlin Institute of Health (BIH) at Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0001-8470-5355
Michael MüllederCore Facility-High-Throughput Mass Spectrometry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany. michael.muelleder@charite.de.ORCID http://orcid.org/0000-0001-9792-3861
Markus RalserDepartment of Biochemistry, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany. markus.ralser@charite.de.ORCID http://orcid.org/0000-0001-9535-7413

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01EP2201Deutsche Forschungsgemeinschaft (German Research Foundation) 492697668EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science-European Research Council) ERC-SyG-2020 951475
6 · The paper itself

Abstract

The role of plasma and serum proteomics in characterizing human disease, identifying biomarkers, and advancing diagnostic technologies is rapidly increasing. However, there is an ongoing need to improve proteomic workflows in terms of accuracy, reproducibility, and cost-effectiveness, and to achieve cross-platform transferability. Based on large serum and plasma proteome studies, we generate the Charité Open Peptide Standard for Plasma Proteomics (OSPP), an open, versatile peptide internal standard for targeted and untargeted mass spectrometry-based proteomic studies. The OSPP includes 211 concentration-matched stable-isotope-labeled peptides selected for consistent quantification across a large number of plasma and serum proteome studies, and synthetic accessibility. We show they are consistently quantified across serum and EDTA, citrate, and heparin plasma using multiple LC-MS platforms. Despite being selected for technical parameters, the OSPP peptides represent proteins that function in a wide range of biological processes, are used in routine clinical tests, or are targets of FDA-approved drugs, making OSPP able to serve as an expandable clinical marker panel. We demonstrate the utility of OSPP in a COVID-19 inpatient cohort study for improving analytical performances, for cross-platform alignment of proteomic data, disease stratification, and biomarker discovery.

Indexed as

Blood ProteinsCOVID-19PeptidesProteomeProteomicsBiomarkersChromatography, LiquidHumansMass SpectrometryReference StandardsReproducibility of ResultsSARS-CoV-2BiomarkersBlood ProteinsPeptidesProteome

Identifiers

PMID41430040
PMCPMC12727829

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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.