Evidence map›Paper›PMID 35022422›Full record

ArticleScientific reports2022

A multi-omics study of circulating phospholipid markers of blood pressure.

Jun Liu, Paul S de Vries, Fabiola Del Greco M, Åsa Johansson, Katharina E Schraut, Caroline Hayward, Ko Willems van Dijk, Oscar H Franco, Andrew A Hicks, Veronique Vitart and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2022. 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
1.6field-weighted citation impact, top 18% 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, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Phospholipid biomarkers of coronary heart disease.Journal of pharmaceutical health care and sciences · 2024
    Review
  6. Article
  7. 17β-Estradiol Effects in Skeletal Muscle: ADiagnostics (Basel, Switzerland) · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Review
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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

19 authors at 11 institutions in 7 countries.

Jun Liu *Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands. jun.liu@ndph.ox.ac.uk.
Paul S de Vries *Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Fabiola Del Greco MInstitute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Åsa JohanssonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Katharina E SchrautCentre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, Scotland, UK.
Caroline HaywardMedical Research Council Human Genetics Unit, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh, Scotland, UK.
Ko Willems van DijkDepartment of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands.
Oscar H FrancoDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Andrew A HicksInstitute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
Veronique VitartMedical Research Council Human Genetics Unit, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh, Scotland, UK.
Igor RudanCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Harry CampbellCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Ozren PolašekDepartment of Public Health, School of Medicine, University of Split, Split, Croatia.
Peter P PramstallerInstitute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy.
James F WilsonCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Ulf GyllenstenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Cornelia M van DuijnDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Abbas DehghanDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Ayşe DemirkanDepartment of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Erasmus MC · NLUniversity of Edinburgh · GBEurac Research · ITScience for Life Laboratory · SEWestern General Hospital · GBAlgebra University College · HRInstitute for Biomedicine · ITInstitute of Social and Preventive Medicine · CHLeiden University · NLMedical Research Council · GBUniversity of Oxford · GB

Funding

Chief Scientist Office CZB/4/276Chief Scientist Office CZB/4/710Medical Research Council MC_UU_00007/10Medical Research Council MR/S019669/1Wellcome Trust
6 · The paper itself

Abstract

High-throughput techniques allow us to measure a wide-range of phospholipids which can provide insight into the mechanisms of hypertension. We aimed to conduct an in-depth multi-omics study of various phospholipids with systolic blood pressure (SBP) and diastolic blood pressure (DBP). The associations of blood pressure and 151 plasma phospholipids measured by electrospray ionization tandem mass spectrometry were performed by linear regression in five European cohorts (n = 2786 in discovery and n = 1185 in replication). We further explored the blood pressure-related phospholipids in Erasmus Rucphen Family (ERF) study by associating them with multiple cardiometabolic traits (linear regression) and predicting incident hypertension (Cox regression). Mendelian Randomization (MR) and phenome-wide association study (Phewas) were also explored to further investigate these association results. We identified six phosphatidylethanolamines (PE 38:3, PE 38:4, PE 38:6, PE 40:4, PE 40:5 and PE 40:6) and two phosphatidylcholines (PC 32:1 and PC 40:5) which together predicted incident hypertension with an area under the ROC curve (AUC) of 0.61. The identified eight phospholipids are strongly associated with triglycerides, obesity related traits (e.g. waist, waist-hip ratio, total fat percentage, body mass index, lipid-lowering medication, and leptin), diabetes related traits (e.g. glucose, insulin resistance and insulin) and prevalent type 2 diabetes. The genetic determinants of these phospholipids also associated with many lipoproteins, heart rate, pulse rate and blood cell counts. No significant association was identified by bi-directional MR approach. We identified eight blood pressure-related circulating phospholipids that have a predictive value for incident hypertension. Our cross-omics analyses show that phospholipid metabolites in the circulation may yield insight into blood pressure regulation and raise a number of testable hypothesis for future research.

Indexed as

Blood PressureComputational BiologyAdultAgedBiomarkersCardiometabolic Risk FactorsCohort StudiesDiastoleFemaleHumansHypertensionMaleMendelian Randomization AnalysisMiddle AgedPhospholipidsSystoleBiomarkersPhospholipids

Identifiers

PMID35022422
PMCPMC8755711
OpenAlexW4220686893

What OpenQuestion holds

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LicenceCC BY
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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.