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

Authors :
Freitag, Daniel F.
Butterworth, Adam S.
Willeit, Peter
Howson, Joanna M.M.
Burgess, Stephen
Kaptoge, Stephen
Young, Robin
Ho, Weang Kee
Wood, Angela M.
Sweeting, Michael
Spackman, Sarah
Staley, James R.
Ramond, Anna
Harshfield, Eric
Nielsen, Sune F.
Grande, Peer
Lange, Leslie A.
Brown, Matthew J.
Jones, Gregory T.
Scott, Robert A.
Bevan, Steve
Porcu, Eleonora
Thorleifsson, Gudmar
Zeng, Lingyao
Kessler, Thorsten
Nikpay, Majid
Do, Ron
Zhang, Weihua
Hopewell, Jemma C.
Kleber, Marcus
Delgado, Graciela E.
Nelson, Christopher P.
Goel, Anuj
Bis, Joshua C.
Dehghan, Abbas
Ligthart, Symen
Smith, Albert V.
Qu, Liming
van ‘t Hof, Femke N.G.
de Bakker, Paul I.W.
Baas, Annette F.
van Rij, Andre
Tromp, Gerard
Kuivaniemi, Helena
Ritchie, Marylyn D.
Verma, Shefali S.
Crawford, Dana C.
Malinowski, Jennifer
de Andrade, Mariza
Kullo, Iftikhar J.
Peissig, Peggy L.
McCarty, Catherine A.
Böttinger, Erwin P.
Gottesman, Omri
Crosslin, David R.
Carrell, David S.
Rasmussen-Torvik, Laura J.
Pacheco, Jennifer A.
Huang, Jie
Timpson, Nicholas J.
Ala-Korpela, Mika
Mitchell, Gary F.
Parsa, Afshin
Wilkinson, Ian B.
Gorski, Mathias
Li, Yong
Keller, Margaux F.
Ganesh, Santhi K.
Langefeld, Carl D.
Bruijn, Lucie
Brown, Matthew A.
Evans, David M.
Baltic, Svetlana
Ferreira, Manuel A.
Baurecht, Hansjörg
Weidinger, Stephan
Franke, Andre
Lubitz, Steven A.
Müller-Nurasyid, Martina
Felix, Janine F.
Smith, Nicholas L.
Thompson, Susan D.
Zeggini, Eleftheria
Panoutsopoulou, Kalliope
Nalls, Mike A.
Singleon, Andrew
Bradfield, Jonathan P.
Hakonarson, Hakon
Easton, Douglas F.
Thompson, Deborah
Tomlinson, Ian P.
Dunlop, Malcolm
Hemminki, Kari
Morgan, Gareth
Eisen, Timothy
Goldschmidt, Hartmut
Allan, James M.
Henrion, Marc
Whiffin, Nicola
Wang, Yufei
Chubb, Daniel
Houlston, Richard S.
Iles, Mark M.
Bishop, D. Timothy
Law, Matthew H.
Hayward, Nicholas K.
Luo, Yang
Nejentsev, Sergey
Barbalic, Maja
Crossman, David
Sanna, Serena
Soranzo, Nicole
Markus, Hugh S.
Wareham, Nicholas J.
Rader, Daniel J.
Reilly, Muredach
Assimes, Themistocles
Harris, Tamara B.
Hofman, Albert
Franco, Oscar H.
Gudnasson, Vilmundur
Tracy, Russell
Psaty, Bruce M.
Farrall, Martin
Watkins, Hugh
Hall, Alistair S.
Samani, Nilesh J.
März, Winfried
Clarke, Robert
Collins, Rory
Kooner, Jaspal S.
Chambers, John C.
Kathiresan, Sekhar
McPherson, Ruth
Erdmann, Jeanette
Kastrati, Adnan
Schunkert, Heribert
Stefánsson, Kári
Thorsteindottir, Unnur
Walston, Jeremy D.
Tybjærg-Hansen, Anne
Alam, Dewan S.
Al Shafi Majumder, Abdullah
Di Angelantonio, Emanuele
Chowdhury, Rajiv
Nordestgaard, Børge G.
Saleheen, Danish
Thompson, Simon G.
Danesh, John
Publication Year :
2015
Publisher :
Elsevier, 2015.

Abstract

BACKGROUND: \ud \ud To 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.\ud \ud METHODS: \ud \ud We 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).\ud \ud FINDINGS: \ud \ud For 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.\ud \ud INTERPRETATION: \ud \ud Human 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.

Details

Language :
English
ISSN :
22138587
Database :
OpenAIRE
Accession number :
edsair.core.ac.uk....dbd8f8cd578fc7a3bb7d24488274c560