Evidence map›Paper›PMID 41054850›Full record

ArticleCirculation. Genomic and precision medicine2025

Circulating Cardiovascular Proteomic Associations With Genetics and Disease.

Kathryn A McGurk, Lara Curran, Arunashis Sau, Fu Siong Ng, Brian Halliday, James S Ware, Declan P O'Regan

Abstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Kathryn A McGurkNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).ORCID 0000-0002-5445-6906
Lara CurranNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).
Arunashis SauNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).ORCID 0000-0002-0204-7078
Fu Siong NgNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).ORCID 0000-0002-8681-4368
Brian HallidayNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).ORCID 0000-0002-5876-1748
James S WareNational Heart and Lung Institute, Imperial College London, United Kingdom (K.A.M., L.C., A.S., F.S.N., B.H., J.S.W.).ORCID 0000-0002-6110-5880
Declan P O'ReganMRC Laboratory of Medical Sciences, Imperial College London, United Kingdom (K.A.M., L.C., J.S.W., D.P.O'R.).ORCID 0000-0002-0691-0270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe analysis of the circulating proteome can identify translational modifiers and biomarkers of disease expressivity and severity at a given time point. Here, we explore the relationships between protein measures implicated in cardiovascular disease and whether they mediate causal relationships between cardiovascular risk factors and disease development.

methodsTo understand the relationships between circulating biomarkers and genetic variants, medications, anthropometric traits, lifestyle factors, imaging-derived measures, and diagnoses of cardiovascular disease, we undertook in-depth analyses of measures of 9 plasma proteins with a priori roles in genetic and structural cardiovascular disease or treatment pathways (ACE2 [angiotensin-converting enzyme 2], ACTA2 [actin alpha 2], ACTN4 [actinin alpha 4], BAG3 [BAG cochaperone 3], BNP [B-type natriuretic peptide], CDKN1A [cyclin-dependent kinase inhibitor 1A], NOTCH1 [neurogenic locus notch homolog protein 1], NT-proBNP [N-terminal pro-B-type natriuretic peptide], and TNNI3 [troponin I]) from the Pharma Proteomics Project of the UK Biobank cohort (over 45 000 participants sampled at recruitment).

resultsWe identified significant variability in circulating proteins with age, sex, ancestry, alcohol intake, smoking, and medication intake. Phenome-wide association studies highlighted the range of cardiovascular clinical features with relationships to protein levels. Genome-wide genetic association studies identified variants near

conclusionsFrom a panel of circulating proteins, the results from this observational study provide evidence that ACE2 is causally protective for hypertension and diabetes. This suggests that ACE2 treatment may provide additional protection from these cardiovascular diseases. This study provides an improved understanding of the circulating pathways depicting cardiovascular disease dynamics.

Indexed as

Blood ProteinsCardiovascular DiseasesProteomeProteomicsAdultAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersBlood ProteinsProteomeangiotensinsdiabetesgenetic variationheart failurehypertensionproteomics

Identifiers

PMID41054850
PMCPMC12711284

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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.