Evidence map›Paper›PMID 33881206›Full record

ArticleEuropean journal of heart failure2021

Urinary peptides in heart failure: a link to molecular pathophysiology.

Tianlin He, Michaela Mischak, Andrew L Clark, Ross T Campbell, Christian Delles, Javier Díez, Gerasimos Filippatos, Alexandre Mebazaa, John J V McMurray, Arantxa González and 21 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
8.9field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Decoding the Heart Failure Peptidome.Circulation. Heart failure · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Urinary peptidomic liquid biopsy for non-invasive differential diagnosis of chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 15 institutions in 8 countries.

Tianlin HeMosaiques Diagnostics GmbH, Hannover, Germany.
Michaela MischakMosaiques Diagnostics GmbH, Hannover, Germany.
Andrew L ClarkAcademic Cardiology Department, Hull York Medical School in the University of Hull, Kingston upon Hull, UK.
Ross T CampbellInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Christian DellesInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Javier DíezProgram of Cardiovascular Diseases, CIMA Universidad de Navarra, IdiSNA and CIBERCV, Pamplona, Spain.
Gerasimos FilippatosHeart Failure Unit, Department of Cardiology, Athens University Hospital Attikon, Athens, Greece.
Alexandre MebazaaUniversité de Paris, Unité Inserm MASCOT, Department of Anaesthesiology and Intensive Care, Saint Louis-Lariboisière - Fernand Widal University Hospital, Assistance Publique Hôpitaux de Paris, Paris, France.
John J V McMurrayInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Arantxa GonzálezProgram of Cardiovascular Diseases, CIMA Universidad de Navarra, IdiSNA and CIBERCV, Pamplona, Spain.
Julia RaadMosaiques Diagnostics GmbH, Hannover, Germany.
Rafael StroggilosBiotechnology Division, Biomedical Research Foundation, Academy of Athens, Athens, Greece.
Helle S BosselmannDepartment of Cardiology, Rigshospitalet, University Hospital of Copenhagen, Copenhagen, Denmark.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Shona M KerrMRC Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK.
Colette E JacksonQueen Elizabeth University Hospital, Glasgow, UK.
Jane A CannonHarefield Hospital, Harefield, London, UK.
Morten SchouHerlev-Gentofte Hospital, Department of Cardiology, Herlev, Denmark.
Nicolas GirerdUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 1433, and Inserm 1116 DCAC, CHRU de Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Patrick RossignolUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 1433, and Inserm 1116 DCAC, CHRU de Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Alex McConnachieRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Kasper RossingDepartment of Cardiology, Rigshospitalet, University Hospital of Copenhagen, Copenhagen, Denmark.
Joost P SchanstraInstitut National de la Santé et de la Recherche Médicale, U1048, Institute of Cardiovascular and Metabolic Disease, Toulouse, France.
Faiez ZannadUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 1433, and Inserm 1116 DCAC, CHRU de Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France.
Antonia VlahouBiotechnology Division, Biomedical Research Foundation, Academy of Athens, Athens, Greece.
William MullenInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Vera JankowskiInstitute for Molecular Cardiovascular Research (IMCAR), RWTH Aachen University Hospital, Aachen, Germany.
Harald MischakMosaiques Diagnostics GmbH, Hannover, Germany.
Zhenyu ZhangStudies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jan A StaessenNon-Profit Research Institution Alliance for the Promotion of Preventive Medicine, Mechelen, Belgium.
Agnieszka LatosinskaMosaiques Diagnostics GmbH, Hannover, Germany.
Inserm · FRUniversity of Glasgow · GBMosaiques Diagnostics and Therapeutics (Germany) · DEAcademy of Athens · GRCentro de Investigación en Red en Enfermedades Cardiovasculares · ESCopenhagen University Hospital · DKUniversitätsklinikum Aachen · DEWestern General Hospital · GBFund for Scientific Research · BEGentofte Hospital · DKHarefield Hospital · GBKU Leuven · BEQueen Elizabeth University Hospital · GBUniversity General Hospital Attikon · GRUniversity of Hull · GB

Funding

British Heart Foundation RE/18/6/34217Chief Scientist Office CZD/16/6Wellcome TrustWellcome Trust 216767/Z/19/Z
6 · The paper itself

Abstract

aimsHeart failure (HF) is a major public health concern worldwide. The diversity of HF makes it challenging to decipher the underlying complex pathological processes using single biomarkers. We examined the association between urinary peptides and HF with reduced (HFrEF), mid-range (HFmrEF) and preserved (HFpEF) ejection fraction, defined based on the European Society of Cardiology guidelines, and the links between these peptide biomarkers and molecular pathophysiology. METHODS AND

resultsAnalysable data from 5608 participants were available in the Human Urinary Proteome database. The urinary peptide profiles from participants diagnosed with HFrEF, HFmrEF, HFpEF and controls matched for sex, age, estimated glomerular filtration rate, systolic and diastolic blood pressure, diabetes and hypertension were compared applying the Mann-Whitney test, followed by correction for multiple testing. Unsupervised learning algorithms were applied to investigate groups of similar urinary profiles. A total of 577 urinary peptides significantly associated with HF were sequenced, 447 of which (77%) were collagen fragments. In silico analysis suggested that urinary biomarker abnormalities in HF principally reflect changes in collagen turnover and immune response, both associated with fibrosis. Unsupervised clustering separated study participants into two clusters, with 83% of non-HF controls allocated to cluster 1, while 65% of patients with HF were allocated to cluster 2 (P < 0.0001). No separation based on HF subtype was detectable.

conclusionsHeart failure, irrespective of ejection fraction subtype, was associated with differences in abundance of urinary peptides reflecting collagen turnover and inflammation. These peptides should be studied as tools in early detection, prognostication, and prediction of therapeutic response.

Indexed as

Heart FailureHumansPeptidesPrognosisStroke VolumeVentricular Function, LeftPeptidesBiomarkerCollagenFibrosisHeart failureProteomeUrine

Identifiers

PMID33881206
PMCPMC9291452
OpenAlexW3152802773

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.