Evidence map›Paper›PMID 40548963›Full record

ArticleJournal of proteome research2025

A Comparative Proteomics Study of Autopsy and Fresh-Frozen Coronary Artery Samples.

Xiaoke Yin, Alicia Beele, Konstantinos Theofilatos, Ferheen Baig, Maria Hasman, Lukas E Schmidt, Joseph J Boyle, Adam W Turner, Clint L Miller, Gerard Pasterkamp and 4 more

Abstract readComparative 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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Aortic Stenosis Hyalectan Remodeling Revealed by Proteomics and Glycoproteomics.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
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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

14 authors.

Xiaoke YinNational Heart and Lung Institute, Imperial College London, London, W12 0BZ, U.K.ORCID 0000-0002-5172-0935
Alicia BeeleDepartment of Cardiovascular Diseases, German Heart Centre Munich, TUM University Hospital, 80636 Munich, Germany.
Konstantinos TheofilatosSchool of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, SE5 9NU, U.K.
Ferheen BaigSchool of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, SE5 9NU, U.K.
Maria HasmanSchool of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, SE5 9NU, U.K.
Lukas E SchmidtDepartment of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-7565-1455
Joseph J BoyleNational Heart and Lung Institute, Imperial College London, London, W12 0BZ, U.K.
Adam W TurnerDepartment of Genome Sciences, University of Virginia, Charlottesville, Virginia 22903, United States.
Clint L MillerDepartment of Genome Sciences, University of Virginia, Charlottesville, Virginia 22903, United States.
Gerard PasterkampDivision Laboratories and Pharmacy, University Medical Center Utrecht, 3584 CX Utrecht, Netherlands.
Stefan StojkovicDepartment of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria.
Johann WojtaDepartment of Internal Medicine II, Medical University of Vienna, 1090 Vienna, Austria.
Michael JonerDepartment of Cardiovascular Diseases, German Heart Centre Munich, TUM University Hospital, 80636 Munich, Germany.
Manuel MayrNational Heart and Lung Institute, Imperial College London, London, W12 0BZ, U.K.ORCID 0000-0002-0597-829X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomic analyses of human tissues are often conducted on autopsy samples. However, no detailed comparative analysis between proteomic changes derived from autopsy samples and fresh-frozen samples has been undertaken. In this study, human left anterior descending (LAD) coronary artery samples (n = 94) from deceased patients were analyzed using nanoflow LC-MS/MS. Among consistently quantified proteins, 37% of the protein abundances exhibited significant correlations with the post-mortem interval (PMI), most of which are inverse. Notably, smooth muscle cell markers displayed substantial reduction with prolonged PMI. Conversely, positive correlations were observed for immunoglobulins, coagulation factors, and complement factors, including coagulation factor XII, plasminogen, and lactotransferrin. Comparative analyses of sex-specific protein changes in autopsy LAD samples versus fresh-frozen LAD samples (n = 65) showed no concordance. However, a robust correlation was observed between 2 different cohorts of fresh-frozen carotid endarterectomies (n = 120 and n = 200). This study represents the first large-scale proteomics investigation into the influence of PMI on the protein composition of the human vasculature, showing significant correlations with PMI for 37% of the quantified proteins. Our findings underscore potential discrepancies in the quantitative accuracy of proteomics data derived from autopsy samples. Consequently, results obtained from post-mortem specimens may not be reproducible in fresh-frozen samples.

Indexed as

Coronary VesselsProteomeProteomicsAgedAged, 80 and overAutopsyChromatography, LiquidFemaleHumansMaleMiddle AgedPostmortem ChangesTandem Mass SpectrometryProteomecardiovascular diseasePost-mortem intervalprotein degradationtissue proteomics

Identifiers

PMID40548963
PMCPMC12235707

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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.