Evidence map›Paper›PMID 40908499›Full record

ArticleESC heart failure2025

Ethnic differences in protein biomarkers of peripartum cardiomyopathy: a proteomic study on the EORP cohort.

Vitaris Kodogo, Karen Sliwa, Alice M Jackson, Hasan Al-Farhan, Sorel Goland, Jasper Tromp, Peter van der Meer, Kamilu Karaye, Alexandre Mebazaa, Johann Bauersachs and 4 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in ESC heart failure, 2025. 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. Review
  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

14 authors.

Vitaris KodogoCape Heart Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-9167-9925
Karen SliwaCape Heart Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-8272-0911
Alice M JacksonSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Hasan Al-FarhanUniversity of Baghdad College of Medicine, Iraqi Board for Medical Specializations, Baghdad Heart Centre, Baghdad, Iraq.
Sorel GolandHeart Institute, Kaplan Medical Center, Rehovot, affiliated to the Hebrew University, Jerusalem, Israel.
Jasper TrompSaw Swee Hock School of Public Health & the National University Health System, Singapore, Singapore.
Peter van der MeerDepartment of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Kamilu KarayeDepartment of Medicine, Bayero University, Kano, Nigeria.
Alexandre MebazaaAPHP, Department of Anesthesiology and Critical Care, Saint Louis Lariboisière Hospitals, Paris, France.
Johann BauersachsDepartment of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Liam BellCentre for Proteomic and Genomic Research, Cape Town, South Africa.
Julian HoevelmannCape Heart Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2023-3026
Charle ViljoenCape Heart Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-7246-4136
EurObservational Research Programme in conjunction with the Heart Failure Association of the European Society of Cardiology Study Group on Peripartum Cardiomyopathy

Funding

Deutsche Forschungsgemeinschaft 440662661Deutsche Stiftung für Herzforschung F/31/21
6 · The paper itself

Abstract

aimsThe diagnosis of peripartum cardiomyopathy (PPCM) is often delayed due to the absence of disease-specific biomarkers. Recently, serum proteins-QSOX1, adiponectin (ADIPOQ) and ITIH3-have shown potential for improving diagnostic accuracy, especially when used with NT-proBNP. However, the influence of ethnicity on their expression remains unclear. We aimed to assess whether serum biomarker profiles differ among ethnic groups in a multinational PPCM cohort. METHODS AND

resultsEighty-two PPCM patients from seven countries in the EURObservational Research Programme (EORP) provided demographic data and serum samples. Ethnicity was self-reported. Proteomic profiling at diagnosis was performed using DIA-based label-free LC-MS, and data were analysed with Spectronaut v15. Ethnic variation was evaluated through principal component analysis (PCA). Participants had a mean age of 30.5 ± 6.7 years; 75% had no hypertension during pregnancy. Median LVEF was 35% (IQR 27.0-41.1), with no ethnic differences. Middle Eastern women showed more severe LV dilatation. PCA revealed no significant clustering by ethnicity; PC1 and PC2 explained 15.2% and 12.0% of variance, respectively.

conclusionsQSOX1, ADIPOQ and ITIH3 exhibited consistent expressions across ethnic groups, supporting their use as universal PPCM biomarkers.

Indexed as

CardiomyopathiesEthnicityPeripartum PeriodPregnancy Complications, CardiovascularProteomicsPuerperal DisordersAdultBiomarkersFemaleHumansPeripartum CardiomyopathyPregnancyBiomarkersBiomarkersEthnicityPPCMProteomics

Identifiers

PMID40908499
PMCPMC12719858

What Socratic 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 Socratic graph.