Evidence map›Paper›PMID 39534640›Full record

ArticleJACC. Basic to translational science2024

Proteome-Wide Genetic Investigation of Large Artery Stiffness.

Marie-Joe Dib, Joe David Azzo, Lei Zhao, Oday Salman, Sushrima Gan, Marc L De Buyzere, Tim De Meyer, Christina Ebert, Kushan Gunawardhana, Laura Liu and 17 more

Abstract read
In one paragraph

Article in JACC. Basic to translational science, 2024. 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. Proteomic Risk Score for Prediction of Incident Hypertension.Hypertension (Dallas, Tex. : 1979) · 2026
    Article
  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

27 authors.

Marie-Joe DibDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Joe David AzzoPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Lei ZhaoBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Oday SalmanPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sushrima GanDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Marc L De BuyzereDepartment of Cardiovascular Diseases, Ghent University Hospital, Ghent, Belgium.
Tim De MeyerDepartment of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
Christina EbertBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Kushan GunawardhanaBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Laura LiuBristol Myers Squibb, Lawrenceville, New Jersey, USA.
David GordonBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Dietmar SeiffertBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Chang Ching-PinBristol Myers Squibb, Lawrenceville, New Jersey, USA.
Payman ZamaniDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jordana B CohenPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Bianca PourmussaPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Seavmeiyin KunPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom.
Stephen BurgessMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
Vanessa van EmpelDepartment of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands.
A Mark RichardsCardiovascular Research Institute, National University of Singapore, Singapore, Singapore.
Jaclyn DennisSomaLogic, Boulder, Colorado, USA.
Ali JavaheriWashington University School of Medicine, St. Louis, Missouri, USA.
Douglas L MannWashington University School of Medicine, St. Louis, Missouri, USA.
Thomas P CappolaDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ernst RietzschelDepartment of Cardiovascular Diseases, Ghent University Hospital, Ghent, Belgium.
Julio A ChirinosDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular mechanisms contributing to large artery stiffness (LAS) are not fully understood. The aim of this study was to investigate the association between circulating plasma proteins and LAS using complementary proteomic and genomic analyses. A total of 106 proteins associated with carotid-femoral pulse-wave velocity, a noninvasive measure of LAS, were identified in 1,178 individuals from the Asklepios study cohort. Mendelian randomization analyses revealed causal effects of 13 genetically predicted plasma proteins on pulse pressure, including cartilage intermediate layer protein-2, high-temperature requirement A serine peptidase-1, and neuronal growth factor-1. These findings suggest potential novel therapeutic targets to reduce LAS and its related diseases.

Indexed as

aortic stiffnessAsklepios studylarge artery stiffnessMendelian randomizationproteomicspulse-wave velocity

Identifiers

PMID39534640
PMCPMC11551872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.