Evidence map›Paper›PMID 41879802›Full record

ArticleJournal of proteome research2026

Impact of Variations in Commercial Standard Operating Procedure on Plasma Proteome Recovery.

Taku Kasai, Luisa Weiss, Jessica Wohlfahrt, Joan T Matamalas, Gabriel Shlayen, Zachary J Kirsch, Masanori Aikawa, Elena Aikawa, Sasha A Singh

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

9 authors.

Taku KasaiCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-8075-6099
Luisa WeissCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-7018-5325
Jessica WohlfahrtPreOmics Inc., Billerica, Massachusetts 01821, United States.
Joan T MatamalasCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Gabriel ShlayenCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Zachary J KirschBruker Scientific, Billerica, Massachusetts 01821, United States.
Masanori AikawaCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Elena AikawaCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Sasha A SinghCenter for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0003-0929-3164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in mass spectrometry and complementary technologies now enable comprehensive, high-resolution plasma proteomics. Plasma is a key biofluid for clinical research, harboring potential disease-informative biomarkers. Commercial sources of nondiseased, healthy donor plasma samples are often used for proteomic workflow development and as controls for clinical studies. The overarching assumption is that standard operating procedures for plasma preparation are comparable across different sources. In this study, we investigated the effectiveness of a particle-based protein enrichment strategy against a conventional proteomics workflow on plasma samples from five commonly used commercial sources. We aimed to characterize the extent of variability in plasma proteomes when factors such as freeze-thaw cycles, choice of anticoagulant, and operator-to-operator performance were accounted for in the study setup. Plasma samples were analyzed in data-independent acquisition mode by using two distinct instruments (Exploris 480, timsTOF HT) and search algorithms (CHIMERYS, DIA-NN). Plasma proteome enrichment yields ranged from 2.8- to 6.2-fold more compared to the conventional workflow, achieving yields exceeding 5000 proteins (timsTOF HT). Notably, the observed variability in proteome composition was largely attributable to differences in whole blood-to-plasma operating procedures across commercial sources. While these distinct proteomes remained undetectable with conventional workflows, particle-dependent proteome profiling successfully revealed the procedural differences.

Indexed as

Blood ProteinsPlasmaProteomeProteomicsHumansMass SpectrometryBlood ProteinsProteomedata-independent acquisitions (DIA)dia-PASEFlipoproteinsparticle-dependent enrichmentplasma proteomicsplateletspreanalytical variables

Identifiers

PMID41879802
PMCPMC13054859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.