Evidence map›Paper›PMID 35300523›Full record

SynthesisCirculation2022

Therapeutic Targets for Heart Failure Identified Using Proteomics and Mendelian Randomization.

Albert Henry, María Gordillo-Marañón, Chris Finan, Amand F Schmidt, João Pedro Ferreira, Ravi Karra, Johan Sundström, Lars Lind, Johan Ärnlöv, Faiez Zannad and 4 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 4 pooled it
27.5field-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

96 citing papers in PubMed, 4 syntheses or guidelines pooled it, 150 citations in OpenAlex.

  1. Pooled it
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  7. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
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36 more citing papers are in PubMed but not listed here.

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 at 6 institutions in 8 countries.

Albert HenryInstitute of Cardiovascular Science (A.H., M.G.-M., C.F., A.F.S., A.D.H.), University College London, United Kingdom.ORCID 0000-0001-7422-2288
María Gordillo-MarañónInstitute of Cardiovascular Science (A.H., M.G.-M., C.F., A.F.S., A.D.H.), University College London, United Kingdom.ORCID 0000-0003-2993-6577
Chris FinanInstitute of Cardiovascular Science (A.H., M.G.-M., C.F., A.F.S., A.D.H.), University College London, United Kingdom.
Amand F SchmidtInstitute of Cardiovascular Science (A.H., M.G.-M., C.F., A.F.S., A.D.H.), University College London, United Kingdom.
João Pedro FerreiraUnidade de Investigação e Desenvolvimento Cardiovascular, Rede de Investigação em Saúde, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Portugal (J.P.F.).ORCID 0000-0002-2304-6138
Ravi KarraDivision of Cardiology, Department of Medicine (R.K.), Duke University Medical Center, Durham, NC.ORCID 0000-0001-6741-285X
Johan SundströmDepartment of Medical Sciences, Uppsala University, Sweden (J.S., L.L.).ORCID 0000-0003-2247-8454
Lars LindDepartment of Medical Sciences, Uppsala University, Sweden (J.S., L.L.).ORCID 0000-0003-2335-8542
Johan ÄrnlövSchool of Health and Social Studies, Dalarna University, Falun, Sweden (J.Ä.).ORCID 0000-0002-6933-4637
Faiez ZannadUniversité de Lorraine, Inserm, Centre d'Investigations Cliniques - Plurithématique 14-33, and Inserm U1116, Centre Hospitalier Régional Universitaire, French Clinical Research Infrastructure Network, Investigation Network Initiative - Cardiovascular and Renal Clinical Trialists, Nancy, France (J.P.F., F.Z.).ORCID 0000-0001-7456-1570
Anders Mälarstig *Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Solna' Sweden (A.M.).
Aroon D Hingorani *Institute of Cardiovascular Science (A.H., M.G.-M., C.F., A.F.S., A.D.H.), University College London, United Kingdom.
R Thomas Lumbers *British Heart Foundation Research Accelerator (A.H., M.G.-M., C.F., A.F.S., A.D.H., R.T.L.), University College London, United Kingdom.ORCID 0000-0002-9077-4741
HERMES and SCALLOP Consortia
British Heart Foundation · GBInserm · FRUppsala University · SEDalarna University · SEDuke University · USPfizer (United States) · US

Funding

Bioinformatics Strategies for Genome-Wide Association StudiesR01LM010098 · NLM · UNIVERSITY OF PENNSYLVANIA · PI MOORE, JASON H., WILLIAMS, SCOTT MATTHEW · 2009 to 2023
$5.1M
British Heart Foundation AA/18/6/34223British Heart Foundation FS/17/70/33482British Heart Foundation FS/18/65/34186British Heart Foundation PG/18/503383British Heart Foundation PG/18/50/33837Department of Health MR/V033867/1Medical Research Council MR/S003754/1Medical Research Council MR/V033867/1NLM NIH HHS R01 LM010098
6 · The paper itself

Abstract

backgroundHeart failure (HF) is a highly prevalent disorder for which disease mechanisms are incompletely understood. The discovery of disease-associated proteins with causal genetic evidence provides an opportunity to identify new therapeutic targets.

methodsWe investigated the observational and causal associations of 90 cardiovascular proteins, which were measured using affinity-based proteomic assays. First, we estimated the associations of 90 cardiovascular proteins with incident heart failure by means of a fixed-effect meta-analysis of 4 population-based studies, composed of a total of 3019 participants with 732 HF events. The causal effects of HF-associated proteins were then investigated by Mendelian randomization, using

resultsForty-four of ninety proteins were positively associated with risk of incident HF (

conclusionsWe identified 44 circulating proteins that were associated with incident HF, of which 8 showed evidence of a causal relationship and 7 were druggable, including adrenomedullin, which represents a particularly promising drug target. Our approach demonstrates a tractable roadmap for the triangulation of population genomic and proteomic data for the prioritization of therapeutic targets for complex human diseases.

Indexed as

AdrenomedullinHeart FailureGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideProteomicsAdrenomedullindrug target predictionheart failureMendelian randomization analysisproteomics

Identifiers

PMID35300523
PMCPMC9010023
OpenAlexW4220714531

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.