Evidence map›Paper›PMID 41400160›Full record

ArticleJournal of proteome research2026

Blood Matrices and Sample Preparation Influence Blood Marker Discovery.

Thomas F Gronauer, Juliane Merl-Pham, Christine von Toerne, Katharina Habler, Daniel Teupser, Stefanie M Hauck

Abstract read
In one paragraph

Article in Journal of proteome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Thomas F GronauerMetabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) 80939 Munich, Germany.ORCID 0000-0003-4122-1689
Juliane Merl-PhamMetabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) 80939 Munich, Germany.
Christine von ToerneMetabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) 80939 Munich, Germany.ORCID 0000-0002-4132-4322
Katharina HablerInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Daniel TeupserInstitute of Laboratory Medicine, LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Stefanie M HauckMetabolomics and Proteomics Core (MPC), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) 80939 Munich, Germany.ORCID 0000-0002-1630-6827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While plasma and serum are widely used in high-throughput proteomics, the impact of different blood matrix types remains underexplored. Routine diagnostics most commonly use serum or Li-heparin plasma, while the proteomics community primarily focuses on advancing analytical depth in EDTA plasma. Here, we systematically investigated the LC-MS/MS proteomic profiles of pooled blood samples from three healthy, voluntary probands including serum (with/without separation gel) and plasma anticoagulated with EDTA, citrate, or Li-heparin. Sample preparation was conducted with the commercially available iST and ENRICH-iST kits, strong-anion exchange (SAX) beads, the TFA-based approach SPEED, and perchloric acid (perCA) precipitation. Mass-spectrometric measurements were performed on a Q Exactive HF-X and a timsTOF HT in data-independent acquisition mode (DIA). Protein identifications varied considerably across matrix types with EDTA plasma and serum outperforming citrate plasma. Sample preparation methods with SAX beads, ENRICH-iST, and perCA yielded the highest identification numbers but also showed increased variability. Across all samples, 181 protein groups overlapped for timsTOF HT data. Subsets of protein groups were specific for the matrix and preparation. This study shows a systematic approach to determining suitable sample preparation and matrix parameters for the robust identification of individual body fluid marker proteins by mass spectrometry.

Indexed as

BiomarkersBlood ProteinsProteomicsAnticoagulantsChromatography, LiquidCitric AcidEdetic AcidHeparinHumansPlasmaSerumTandem Mass SpectrometryAnticoagulantsBiomarkersBlood ProteinsCitric AcidEdetic AcidHeparinbiomarkersENRICH-iSTiSTMag-NetmpwRperCAplasmaproteomicsserumSPEED

Identifiers

PMID41400160
PMCPMC12772121

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.