Evidence map›Paper›PMID 36936266›Full record

ArticleBMJ medicine2023

The interplay between inflammatory cytokines and cardiometabolic disease: bi-directional mendelian randomisation study.

Ville Karhunen, Dipender Gill, Jian Huang, Emmanouil Bouras, Rainer Malik, Mark J Ponsford, Ari Ahola-Olli, Areti Papadopoulou, Saranya Palaniswamy, Sylvain Sebert and 17 more

Open access · goldAbstract read
In one paragraph

Article in BMJ medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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 at 14 institutions in 9 countries.

Ville Karhunen *Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.ORCID 0000-0001-6064-1588
Dipender Gill *Department of Epidemiology and Biostatistics, Imperial College London, London, UK.ORCID 0000-0001-7312-7078
Jian HuangDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.ORCID 0000-0002-3931-5013
Emmanouil BourasDepartment of Hygiene and Epidemiology, Faculty of Medicine, University of Ioannina, Ioannina, Epirus, Greece.
Rainer MalikInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Faculty of Medicine, Munchen, Bayern, Germany.
Mark J PonsfordDivision of Immunology, Infection, and Inflammation, Tenovus Institute, Cardiff University, Cardiff, UK.
Ari Ahola-OlliThe Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Areti PapadopoulouDepartment of Hygiene and Epidemiology, Faculty of Medicine, University of Ioannina, Ioannina, Epirus, Greece.ORCID 0000-0003-3158-7951
Saranya PalaniswamyResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Sylvain SebertResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Matthias WielscherDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Juha AuvinenResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Juha VeijolaDepartment of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland.
Karl-Heinz HerzigResearch Unit of Biomedicine, Medical Research Center (MRC), University of Oulu, University Hospital, Oulu, Finland.
Markku TimonenResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Sirkka Keinänen-KiukaanniemiResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Martin DichgansInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Faculty of Medicine, Munchen, Bayern, Germany.
Marko SalmiMediCity and Institute of Biomedicine, University of Turku, Turku, Finland.
Sirpa JalkanenMediCity and Institute of Biomedicine, University of Turku, Turku, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Veikko SalomaaFinnish Institute for Health and Welfare, Helsinki, Uusimaa, Finland.
Olli RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Simon A JonesDivision of Immunology, Infection, and Inflammation, Tenovus Institute, Cardiff University, Cardiff, UK.
G Kees HovinghDepartment of Vascular Medicine, Academic Medical Center, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Noord-Holland, Netherlands.
Konstantinos K Tsilidis *Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
Marjo-Riitta Järvelin *Research Unit of Population Health, University of Oulu, Oulu, Finland.
Abbas Dehghan *Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
University of Oulu · FIImperial College London · GBOulu University Hospital · FIUniversity of Ioannina · GRUniversity of Turku · FITenovus Cancer Care · GBAgency for Science, Technology and Research · SGAmsterdam UMC Location University of Amsterdam · NLBroad Institute · USFinnish Institute for Health and Welfare · FIGerman Center for Neurodegenerative Diseases · DEPoznan University of Medical Sciences · PLTampere University · FIUK Dementia Research Institute · GB

Funding

Medical Research Council MR/M013138/1Medical Research Council MR/M013138/2Medical Research Council MR/S019669/1Wellcome Trust
6 · The paper itself

Abstract

Objective: To leverage large scale genetic association data to investigate the interplay between circulating cytokines and cardiometabolic traits, and thus identifying potential therapeutic targets. Design: Bi-directional Mendelian randomisation study. Setting: Genome-wide association studies from three Finnish cohorts (Northern Finland Birth Cohort 1966, Young Finns Study, or FINRISK study), and genetic association summary statistics pooled from observational studies for expression quantitative trait loci and cardiometabolic traits. Participants: Data for 47 circulating cytokines in 13 365 individuals from genome-wide association studies, summary statistic data for up to 21 735 individuals on circulating cytokines, summary statistic gene expression data across 49 tissues in 838 individuals, and summary statistic data for up to 1 320 016 individuals on cardiometabolic traits. Interventions: Relations between circulating cytokines and cardiovascular, anthropometric, lipid, or glycaemic traits (coronary artery disease, stroke, type 2 diabetes mellitus, body mass index, waist circumference, waist to hip ratio, systolic blood pressure, glycated haemoglobin, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, triglycerides, C reactive protein, glucose, fasting insulin, and lifetime smoking). Main outcome methods: Genetic instrumental variables that are biologically plausible for the circulating cytokines were generated. The effects of cardiometabolic risk factors on concentrations of circulating cytokines, circulating cytokines on other circulating cytokines, and circulating cytokines on cardiometabolic outcomes were investigated. Results: Genetic evidence (mendelian randomisation P<0.0011) suggests that higher body mass index, waist circumference, smoking, higher concentrations of lipids, and systolic blood pressure increase circulating concentrations of several inflammatory cytokines and C reactive protein. Evidence for causal relations (mendelian randomisation P<0.0011) were noted between circulating cytokines, including a key role of vascular endothelial growth factor on influencing the concentrations of 10 other cytokines. Both mendelian randomisation (P<0.05) and colocalisation (posterior probability >0.5) suggested that coronary artery disease risk is increased by higher concentrations of circulating tumour necrosis factor related apoptosis-inducing ligand (TRAIL), interleukin-1 receptor antagonist (IL1RA), and macrophage colony-stimulating factor (MCSF). Conclusion: This study offers insight into inflammatory mediators of cardiometabolic risk factors, cytokine signalling cascades, and effects of circulating cytokines on different cardiometabolic outcomes.

Indexed as

CardiologyEpidemiologyGenetics

Identifiers

PMID36936266
PMCPMC9978757
OpenAlexW4320731092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.