Evidence map›Paper›PMID 38014560›Full record

ArticleCirculation. Genomic and precision medicine2023

Plasma Protein Profiling of Incident Cardiovascular Diseases: A Multisample Evaluation.

Lars Lind, Olga Titova, Rui Zeng, Daniela Zanetti, Martin Ingelsson, Stefan Gustafsson, Johan Sundström, Johan Ärnlöv, Sölve Elmståhl, Themistocles Assimes and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Circulation. Genomic and precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 10 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Lars LindDepartment of Medical Sciences (L.L., R.Z., S.G., J.S.), Uppsala University, Sweden.ORCID 0000-0003-2335-8542
Olga TitovaDepartment of Surgical Sciences (O.T., K.M.), Uppsala University, Sweden.ORCID 0000-0003-2747-1606
Rui ZengDepartment of Medical Sciences (L.L., R.Z., S.G., J.S.), Uppsala University, Sweden.ORCID 0000-0003-2891-9273
Daniela ZanettiDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (T.A., D.Z.).ORCID 0000-0002-1225-1021
Martin IngelssonDepartment of Public Health and Caring Sciences/Geriatrics (M.I.), Uppsala University, Sweden.ORCID 0000-0001-5466-8370
Stefan GustafssonDepartment of Medical Sciences (L.L., R.Z., S.G., J.S.), Uppsala University, Sweden.
Johan SundströmDepartment of Medical Sciences (L.L., R.Z., S.G., J.S.), Uppsala University, Sweden.ORCID 0000-0003-2247-8454
Johan ÄrnlövDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge (J.A.).ORCID 0000-0002-6933-4637
Sölve ElmståhlDepartment of Clinical Sciences in Malmö, Lund University, Sweden (S.E.).ORCID 0000-0001-7153-5414
Themistocles AssimesDepartment of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (T.A., D.Z.).ORCID 0000-0003-2349-0009
Karl MichaëlssonDepartment of Surgical Sciences (O.T., K.M.), Uppsala University, Sweden.ORCID 0000-0003-2815-1217
Uppsala University · SECardiovascular Institute of the South · USKarolinska Institutet · SEMalmö University · SE

Funding

Proteomic determinants of direct measures of insulin sensitivityR01DK114183 · NIDDK · STANFORD UNIVERSITY · PI ASSIMES, THEMISTOCLES LEONARD · 2018 to 2022
$3.5M
NIDDK NIH HHS R01 DK114183
6 · The paper itself

Abstract

backgroundProteomic profiling could potentially disclose new pathophysiological pathways for cardiovascular diseases (CVD) and improve prediction at the individual level. We therefore aimed to study the plasma protein profile associated with the incidence of different CVDs.

methodsPlasma levels of 245 proteins suspected to be linked to CVD or metabolism were measured in 4 Swedish prospective population-based cohorts (SIMPLER [Swedish Infrastructure for Medical Population-Based Life-Course and Environmental Research], ULSAM (Uppsala Longitudinal Study of Adult Men), EpiHealth, and POEM [Prospective Investigation of Obesity, Energy Production, and Metabolism]) comprising 11 869 individuals, free of CVD diagnoses at baseline. Our primary CVD outcome was defined by a combined end point that included either incident myocardial infarction, stroke, or heart failure.

resultsUsing a discovery/validation approach, 42 proteins were associated with our primary composite end point occurring in 1163 subjects. In separate meta-analyses for each of the 3 CVD outcomes, 49 proteins were related to myocardial infarction, 34 to ischemic stroke, and 109 to heart failure. Thirteen proteins were related to all 3 outcomes. Of those, urokinase plasminogen activator surface receptor, adrenomedullin, and KIM-1 (kidney injury molecule 1) were also related to several markers of subclinical CVD in Prospective Investigation of Obesity, Energy production and Metabolism, reflecting myocardial or arterial pathologies. In prediction analysis, a lasso selection of 11 proteins in ULSAM improved the discrimination of CVD by 3.3% (

conclusionsProtein profiling in multiple samples disclosed several new proteins to be associated with subsequent myocardial infarction, stroke, and heart failure, suggesting common pathophysiological pathways for these diseases. KIM-1, urokinase plasminogen activator surface receptor, and adrenomedullin were novel early markers of CVD. A selection of 11 proteins improved the discrimination of CVD.

Indexed as

Cardiovascular DiseasesHeart FailureMyocardial InfarctionStrokeAdultHumansLongitudinal StudiesMaleObesityProspective StudiesProteomicsUrokinase-Type Plasminogen ActivatorUrokinase-Type Plasminogen Activatorbiomarkerscardiovascular diseasesheart failureischemic strokemyocardial infarction

Identifiers

PMID38014560
PMCPMC12236087
OpenAlexW4389089989

What OpenQuestion holds

Textmetadata
LicenceTDM
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.