Evidence map›Paper›PMID 35681200›Full record

ArticleCardiovascular diabetology2022

Associations of the vasoactive peptides CT-proET-1 and MR-proADM with incident type 2 diabetes: results from the BiomarCaRE Consortium.

Chaterina Sujana, Veikko Salomaa, Frank Kee, Jochen Seissler, Pekka Jousilahti, Charlotte Neville, Cornelia Then, Wolfgang Koenig, Kari Kuulasmaa, Jaakko Reinikainen and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. 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
0.3field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  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

17 authors at 8 institutions in 3 countries.

Chaterina SujanaInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.ORCID 0000-0002-0663-2557
Veikko SalomaaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-7563-5324
Frank KeeCentre for Public Health, Queens University of Belfast, Belfast, Northern Ireland, UK.
Jochen SeisslerDiabetes Zentrum, Medizinische Klinik Und Poliklinik IV, Klinikum Der Ludwig-Maximilians-Universität München, Munich, Germany.
Pekka JousilahtiDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
Charlotte NevilleCentre for Public Health, Queens University of Belfast, Belfast, Northern Ireland, UK.
Cornelia ThenDiabetes Zentrum, Medizinische Klinik Und Poliklinik IV, Klinikum Der Ludwig-Maximilians-Universität München, Munich, Germany.
Wolfgang KoenigInstitute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.ORCID 0000-0002-2064-9603
Kari KuulasmaaDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-2165-1411
Jaakko ReinikainenDepartment of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0002-7825-5359
Stefan BlankenbergDepartment for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany.
Tanja ZellerDepartment for General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.ORCID 0000-0002-2050-093X
Ulrich MansmannInstitute for Medical Information Processing, Biometry, and Epidemiology (IBE), Pettenkofer School of Public Health, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0002-9955-8906
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.ORCID 0000-0001-6645-0985
Barbara ThorandInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany. thorand@helmholtz-muenchen.de.ORCID 0000-0002-8416-6440
BiomarCaRE Consortium
Finnish Institute for Health and Welfare · FIHelmholtz Zentrum München · DELMU Klinikum · DEQueen's University Belfast · GBUniversität Hamburg · DEDüsseldorf University Hospital · DELudwig-Maximilians-Universität München · DEUniversität Ulm · DE

Funding

Medical Research Council G0601463
6 · The paper itself

Abstract

backgroundEndothelin-1 (ET-1) and adrenomedullin (ADM) are commonly known as vasoactive peptides that regulate vascular homeostasis. Less recognised is the fact that both peptides could affect glucose metabolism. Here, we investigated whether ET-1 and ADM, measured as C-terminal-proET-1 (CT-proET-1) and mid-regional-proADM (MR-proADM), respectively, were associated with incident type 2 diabetes.

methodsBased on the population-based Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) Consortium data, we performed a prospective cohort study to examine associations of CT-proET-1 and MR-proADM with incident type 2 diabetes in 12,006 participants. During a median follow-up time of 13.8 years, 862 participants developed type 2 diabetes. The associations were examined in Cox proportional hazard models. Additionally, we performed two-sample Mendelian randomisation analyses using published data.

resultsCT-proET-1 and MR-proADM were positively associated with incident type 2 diabetes. The multivariable hazard ratios (HRs) [95% confidence intervals (CI)] were 1.10 [1.03; 1.18], P = 0.008 per 1-SD increase of CT-proET-1 and 1.11 [1.02; 1.21], P = 0.016 per 1-SD increase of log MR-proADM, respectively. We observed a stronger association of MR-proADM with incident type 2 diabetes in obese than in non-obese individuals (P-interaction with BMI < 0.001). The HRs [95%CIs] were 1.19 [1.05; 1.34], P = 0.005 and 1.02 [0.90; 1.15], P = 0.741 in obese and non-obese individuals, respectively. Our Mendelian randomisation analyses yielded a significant association of CT-proET-1, but not of MR-proADM with type 2 diabetes risk.

conclusionsHigher concentrations of CT-proET-1 and MR-proADM are associated with incident type 2 diabetes, but our Mendelian randomisation analysis suggests a probable causal link for CT-proET-1 only. The association of MR-proADM seems to be modified by body composition.

Indexed as

Diabetes Mellitus, Type 2Endothelin-1AdrenomedullinBiomarkersHeart Disease Risk FactorsHumansObesityPeptide FragmentsProspective StudiesProtein PrecursorsAdrenomedullinBiomarkersC-terminal proendothelin-1Endothelin-1Peptide Fragmentsproendothelin 1Protein PrecursorsAdrenomedullinCohort studyC-terminal-proendothelin-1Endothelin-1EpidemiologyIncident type 2 diabetesMendelian randomisationMid-regional-proadrenomedullin

Identifiers

PMID35681200
PMCPMC9185875
OpenAlexW4281851235

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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.