Evidence map›Paper›PMID 39004188›Full record

ArticleMolecular & cellular proteomics : MCP2024

A Carrier-Based Quantitative Proteomics Method Applied to Biomarker Discovery in Pericardial Fluid.

Amanda J Campbell, Samir Cakar, Nicolai B Palstrøm, Lars P Riber, Lars M Rasmussen, Hans C Beck

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Amanda J CampbellDepartment of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Center for Clinical Proteomics (CCP), Odense University Hospital, Odense, Denmark.
Samir CakarDepartment of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Center for Clinical Proteomics (CCP), Odense University Hospital, Odense, Denmark.
Nicolai B PalstrømDepartment of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Center for Clinical Proteomics (CCP), Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark.
Lars P RiberDepartment of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark; Department of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark.
Lars M RasmussenDepartment of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Center for Clinical Proteomics (CCP), Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark; Center for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, Odense, Denmark.
Hans C BeckDepartment of Clinical Biochemistry, Odense University Hospital, Odense, Denmark; Center for Clinical Proteomics (CCP), Odense University Hospital, Odense, Denmark; Department of Clinical Research, Faculty of Health Science, University of Southern Denmark, Odense, Denmark; Center for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, Odense, Denmark. Electronic address: hans.christian.beck@rsyd.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data-dependent liquid chromatography tandem mass spectrometry is challenged by the large concentration range of proteins in plasma and related fluids. We adapted the SCoPE method from single-cell proteomics to pericardial fluid, where a myocardial tissue carrier was used to aid protein quantification. The carrier proteome and patient samples were labeled with distinct isobaric labels, which allowed separate quantification. Undepleted pericardial fluid from patients with type 2 diabetes mellitus and/or heart failure undergoing heart surgery was analyzed with either a traditional liquid chromatography tandem mass spectrometry method or with the carrier proteome. In total, 1398 proteins were quantified with a carrier, compared to 265 without, and a higher proportion of these proteins were of myocardial origin. The number of differentially expressed proteins also increased nearly four-fold. For patients with both heart failure and type 2 diabetes mellitus, pathway analysis of upregulated proteins demonstrated the enrichment of immune activation, blood coagulation, and stress pathways. Overall, our work demonstrates the applicability of a carrier for enhanced protein quantification in challenging biological matrices such as pericardial fluid, with potential applications for biomarker discovery. Mass spectrometry data are available via ProteomeXchange with identifier PXD053450.

Indexed as

BiomarkersDiabetes Mellitus, Type 2Pericardial FluidProteomicsChromatography, LiquidFemaleHeart FailureHumansMaleMiddle AgedProteomeTandem Mass SpectrometryBiomarkersProteomebiomarker discoverycarrier proteomediabetic cardiomyopathysingle-cell proteomics

Identifiers

PMID39004188
PMCPMC11387241

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LicenceCC BY-NC-ND
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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.