Evidence map›Paper›PMID 41065563›Full record

Observational studyEuropean heart journal2026

Blood pressure, plasma proteins, and cardiovascular diseases: a network Mendelian randomization and observational study.

Devendra Meena, Jingxian Huang, Alexander Smith, James Yarmolinsky, Siwei Wu, Fotios Koskeridis, Yi-Hsuan Ko, Marie-Joe Dib, Charalabos Antonatos, Yiannis Vasilopoulos and 7 more

Abstract readObservational Study
In one paragraph

Observational study in European heart journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Proteomic markers associated with blood pressure, hypertension, and treatment-resistant hypertension.American heart journal plus : cardiology research and practice · 2026
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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

17 authors.

Devendra MeenaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Jingxian HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.ORCID 0000-0002-8969-8382
Alexander SmithDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
James YarmolinskyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Siwei WuDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Fotios KoskeridisDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Yi-Hsuan KoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Marie-Joe DibDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Charalabos AntonatosLaboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, Patras, Greece.
Yiannis VasilopoulosLaboratory of Genetics, Section of Genetics, Cell Biology and Development, Department of Biology, University of Patras, Patras, Greece.
Xinzhu YuDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Georg W OttoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.ORCID 0000-0001-7312-7078
Manuel MayrNational Heart & Lung Institute, Imperial College London, London, UK.
Paul ElliottDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.ORCID 0000-0002-7511-5684
Abbas DehghanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.ORCID 0000-0001-6403-016X
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, White City Campus, 90 Wood Lane, London W12 0BZ, UK.ORCID 0000-0002-4275-9328

Funding

Imperial College British Heart Foundation RE/18/4/34215NIHR Imperial Biomedical Research CentreUK Dementia Research Institute MC_PC_17114
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe biological pathways leading to elevated blood pressure (BP) and subsequent cardiovascular diseases (CVDs) remain incompletely understood. Investigating the proteomic landscape of BP and its overlap with CVD could provide critical insights into the molecular determinants and pathways involved in BP regulation and its subsequent effect on CVD.

methodsA proteome-wide Mendelian randomization (MR) study was conducted by leveraging genetic instruments from 2007 plasma proteins to assess their causal effects on BP (systolic and diastolic BP). Proteins showing strong associations with BP were further analyzed for potential causal effects on coronary artery disease (CAD) and stroke subtypes. Network MR was performed to estimate the proportion of CVD risk mediated through BP. Bayesian colocalization was applied to determine whether identified associations share common causal variants. Observational associations were examined in UK Biobank participants to assess associations between proteins, BP, and incident CVD events using linear regression and Cox proportional hazard models.

resultsProteome-wide MR identified 242 proteins associated with BP, of which 48 were also linked to CAD or stroke, with four (ACOX1, FGF5, FURIN, MST1) also supported by genetic colocalization analyses (FDR 5% and PP ≥70%). Genetically predicted FURIN and FGF5 were strongly associated with BP and stroke risk, while ACOX1, FGF5, and MST1 exhibited potential causal effects on CAD. Network MR suggested that a substantial proportion of their effect on CAD and stroke (30.5%-77.2%) was mediated through BP regulation. Observational analyses further supported these findings.

conclusionsThis study identifies key plasma proteins with potential causal roles in BP regulation and CVD risk, highlighting BP as a major mediator of their effects on CAD and stroke. These findings provide novel insights into the molecular mechanisms underlying hypertension-related CVD and identify promising protein targets for further investigation.

Indexed as

Blood PressureBlood ProteinsCardiovascular DiseasesAgedCoronary Artery DiseaseFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedStrokeBlood ProteinsBlood pressureCardiovascular diseaseMendelian randomizationProteomics

Identifiers

PMID41065563
PMCPMC12807568

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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.