Evidence map›Paper›PMID 25726324›Full record

ArticleThe lancet. Diabetes & endocrinology2015

Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis.

Interleukin 1 Genetics Consortium

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in The lancet. Diabetes & endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
13.8field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Leveraging Mendelian randomization to inform drug discovery and development for ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  6. Article
  7. Review
  8. How to measure and model cardiovascular aging.Cardiovascular research · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Interleukins: pathophysiological role in acute pancreatitis.Archives of medical science : AMS · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Interleukin 1 Genetics Consortium
University of Cambridge · GB

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
ROLE OF ANGPTL4, AN ANGIOGENIC MEDIATOR, IN ARTHRITISP30AR047363 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WAGNER, MICHAEL · 2001 to 2015
$9.2M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
IRIS: Incorporating Research Into SightU01HG006389 · NHGRI · ESSENTIA INSTITUTE OF RURAL HEALTH · PI MCCARTY, CATHERINE ANNE · 2011 to 2014
$4.1M
Defining the complex genetics of JIARC1AR058587 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI THOMPSON, SUSAN D · 2009 to 2010
$1.0M
Atrial Fibrillation: Bridging genetic discovery and clinical associationsK23HL114724 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LUBITZ, STEVEN A · 2013 to 2017
$893k
British Heart Foundation RG/08/014/24067British Heart Foundation SP/09/002Cancer Research UK 10589Cancer Research UK 12076Cancer Research UK 19167European Research Council 268834Medical Research Council G0502131Medical Research Council G0800270Medical Research Council MC_PC_U127527198Medical Research Council MC_U127527198Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/4Medical Research Council MR/L003120/1NCATS NIH HHS UL1 TR000427NHGRI NIH HHS U01 HG006389NHLBI NIH HHS K23 HL114724NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL120393NIAMS NIH HHS P30 AR047363NIAMS NIH HHS RC1 AR058587Wellcome Trust 095198
6 · The paper itself

Abstract

backgroundTo investigate potential cardiovascular and other effects of long-term pharmacological interleukin 1 (IL-1) inhibition, we studied genetic variants that produce inhibition of IL-1, a master regulator of inflammation.

methodsWe created a genetic score combining the effects of alleles of two common variants (rs6743376 and rs1542176) that are located upstream of IL1RN, the gene encoding the IL-1 receptor antagonist (IL-1Ra; an endogenous inhibitor of both IL-1α and IL-1β); both alleles increase soluble IL-1Ra protein concentration. We compared effects on inflammation biomarkers of this genetic score with those of anakinra, the recombinant form of IL-1Ra, which has previously been studied in randomised trials of rheumatoid arthritis and other inflammatory disorders. In primary analyses, we investigated the score in relation to rheumatoid arthritis and four cardiometabolic diseases (type 2 diabetes, coronary heart disease, ischaemic stroke, and abdominal aortic aneurysm; 453,411 total participants). In exploratory analyses, we studied the relation of the score to many disease traits and to 24 other disorders of proposed relevance to IL-1 signalling (746,171 total participants).

findingsFor each IL1RN minor allele inherited, serum concentrations of IL-1Ra increased by 0.22 SD (95% CI 0.18-0.25; 12.5%; p = 9.3 × 10(-33)), concentrations of interleukin 6 decreased by 0.02 SD (-0.04 to -0.01; -1.7%; p = 3.5 × 10(-3)), and concentrations of C-reactive protein decreased by 0.03 SD (-0.04 to -0.02; -3.4%; p = 7.7 × 10(-14)). We noted the effects of the genetic score on these inflammation biomarkers to be directionally concordant with those of anakinra. The allele count of the genetic score had roughly log-linear, dose-dependent associations with both IL-1Ra concentration and risk of coronary heart disease. For people who carried four IL-1Ra-raising alleles, the odds ratio for coronary heart disease was 1.15 (1.08-1.22; p = 1.8 × 10(-6)) compared with people who carried no IL-1Ra-raising alleles; the per-allele odds ratio for coronary heart disease was 1.03 (1.02-1.04; p = 3.9 × 10(-10)). Per-allele odds ratios were 0.97 (0.95-0.99; p = 9.9 × 10(-4)) for rheumatoid arthritis, 0.99 (0.97-1.01; p = 0.47) for type 2 diabetes, 1.00 (0.98-1.02; p = 0.92) for ischaemic stroke, and 1.08 (1.04-1.12; p = 1.8 × 10(-5)) for abdominal aortic aneurysm. In exploratory analyses, we observed per-allele increases in concentrations of proatherogenic lipids, including LDL-cholesterol, but no clear evidence of association for blood pressure, glycaemic traits, or any of the 24 other disorders studied. Modelling suggested that the observed increase in LDL-cholesterol could account for about a third of the association observed between the genetic score and increased coronary risk.

interpretationHuman genetic data suggest that long-term dual IL-1α/β inhibition could increase cardiovascular risk and, conversely, reduce the risk of development of rheumatoid arthritis. The cardiovascular risk might, in part, be mediated through an increase in proatherogenic lipid concentrations.

Indexed as

AllelesAortic Aneurysm, AbdominalArthritis, RheumatoidCardiovascular DiseasesCholesterol, LDLCoronary DiseaseC-Reactive ProteinDiabetes Mellitus, Type 2Gene DosageGenotypeHumansInterleukin 1 Receptor Antagonist ProteinInterleukin-6Mendelian Randomization AnalysisOdds RatioRNA, MessengerCholesterol, LDLC-Reactive ProteinIL1RN protein, humanIL6 protein, humanInterleukin 1 Receptor Antagonist ProteinInterleukin-6RNA, Messenger

Identifiers

PMID25726324
PMCPMC4648058
OpenAlexW1543609544

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.