Therapeutic potential of IL6R blockade for the treatment of sepsis and sepsis-related death: Findings from a Mendelian randomisation study

Introduction Sepsis is characterised by dysregulated, life-threatening immune responses, which are thought to be driven by cytokines such as interleukin-6 (IL-6). Genetic variants in IL6R known to downregulate IL-6 signalling are associated with improved COVID-19 outcomes, a finding later confirmed in randomised trials of IL-6 receptor antagonists (IL6RA). We hypothesised that blockade of IL6R could also improve outcomes in sepsis. Methods We performed a Mendelian randomisation analysis using single nucleotide polymorphisms (SNPs) in and near IL6R to evaluate the likely causal effects of IL6R blockade on sepsis, sepsis severity, other infections, and COVID-19. We weighted SNPs by their effect on CRP and combined results across them in inverse variance weighted meta-analysis, proxying the effect of IL6RA. Our outcomes were measured in UK Biobank, FinnGen, the COVID-19 Host Genetics Initiative (HGI), and the GenOSept and GainS consortium. We performed several sensitivity analyses to test assumptions of our methods, including utilising variants around CRP in a similar analysis. Results In the UK Biobank cohort (N=485,825, including 11,643 with sepsis), IL6R blockade was associated with a decreased risk of sepsis (OR=0.80; 95% CI 0.66-0.96, per unit of natural log transformed CRP decrease). The size of this effect increased with severity, with larger effects on 28-day sepsis mortality (OR=0.74; 95% CI 0.38-0.70); critical care admission with sepsis (OR=0.48, 95% CI 0.30-0.78) and critical care death with sepsis (OR=0.37, 95% CI 0.14 - 0.98) Similar associations were seen with severe respiratory infection: OR for pneumonia in critical care 0.69 (95% CI 0.49 - 0.97) and for sepsis survival in critical care (OR=0.22; 95% CI 0.04- 1.31) in the GainS and GenOSept consortium. We also confirm the previously reported protective effect of IL6R blockade on severe COVID-19 (OR=0.69, 95% 0.57 - 0.84) in the COVID-19 HGI, which was of similar magnitude to that seen in sepsis. Sensitivity analyses did not alter our primary results. Conclusions IL6R blockade is causally associated with reduced incidence of sepsis, sepsis related critical care admission, and sepsis related mortality. These effects are comparable in size to the effect seen in severe COVID-19, where IL-6 receptor antagonists were shown to improve survival. This data suggests a randomised trial of IL-6 receptor antagonists in sepsis should be considered.

[1]  M. Jarvelin,et al.  Genetic analysis of over half a million people characterises C-reactive protein loci , 2022, Nature Communications.

[2]  Aino,et al.  FinnGen: Unique genetic insights from combining isolated population and national health register data , 2022, medRxiv.

[3]  S. Burgess,et al.  The evolution of mendelian randomization for investigating drug effects , 2022, PLoS medicine.

[4]  P. Ridker,et al.  Dissecting the IL‐6 pathway in cardiometabolic disease: A Mendelian randomization study on both IL6 and IL6R , 2021, British journal of clinical pharmacology.

[5]  M. Dichgans,et al.  Additive Effects of Genetic Interleukin‐6 Signaling Downregulation and Low‐Density Lipoprotein Cholesterol Lowering on Cardiovascular Disease: A 2×2 Factorial Mendelian Randomization Analysis , 2021, Journal of the American Heart Association.

[6]  N. Timpson,et al.  Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration , 2021, BMJ.

[7]  S. Rose-John Blocking only the bad side of IL-6 in inflammation and cancer. , 2021, Cytokine.

[8]  Mattia G. Bergomi,et al.  Mapping the human genetic architecture of COVID-19 , 2021, Nature.

[9]  Peter J. Godolphin,et al.  Association Between Administration of IL-6 Antagonists and Mortality Among Patients Hospitalized for COVID-19: A Meta-analysis. , 2021, JAMA.

[10]  Matthew S. Lebo,et al.  Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection , 2021, Nature Medicine.

[11]  P. Libby,et al.  IL-6 inhibition with ziltivekimab in patients at high atherosclerotic risk (RESCUE): a double-blind, randomised, placebo-controlled, phase 2 trial , 2021, The Lancet.

[12]  Steve B Jones,et al.  Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial , 2021, Lancet.

[13]  M. Lythgoe,et al.  Selective Interleukin-6 Trans-Signaling Blockade Is More Effective Than Panantagonism in Reperfused Myocardial Infarction , 2021, JACC. Basic to translational science.

[14]  A. Gallo de Moraes,et al.  New Decade, Old Debate: Blocking the Cytokine Pathways in Infection-Induced Cytokine Cascade , 2021, Critical care explorations.

[15]  Christopher M. Horvat,et al.  Interleukin-6 Receptor Antagonists in Critically Ill Patients with Covid-19 - Preliminary report , 2021, medRxiv.

[16]  Daniel F. Freitag,et al.  Mendelian randomization for studying the effects of perturbing drug targets , 2021, Wellcome open research.

[17]  Peter B. Jones,et al.  Role of inflammation in depression and anxiety: Tests for disorder specificity, linearity and potential causality of association in the UK Biobank , 2021, medRxiv.

[18]  K. Matsuda,et al.  Accuracy for Mortality Prediction With Additive Biomarkers Including Interleukin-6 in Critically Ill Patients: A Multicenter Prospective Observational Study , 2020, Critical care explorations.

[19]  S. Larsson,et al.  Genetically proxied interleukin-6 receptor inhibition: opposing associations with COVID-19 and pneumonia , 2020, European Respiratory Journal.

[20]  C. Lindgren,et al.  Genetic variants mimicking therapeutic inhibition of IL-6 receptor signaling and risk of COVID-19 , 2020, The Lancet Rheumatology.

[21]  Gonçalo Abecasis,et al.  Computationally efficient whole-genome regression for quantitative and binary traits , 2020, Nature Genetics.

[22]  Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes , 2020, Circulation. Genomic and precision medicine.

[23]  Nan Tang,et al.  SARS-CoV-2 and viral sepsis: observations and hypotheses , 2020, The Lancet.

[24]  E. Binder,et al.  Dissecting the Association Between Inflammation, Metabolic Dysregulation, and Specific Depressive Symptoms , 2020, JAMA psychiatry.

[25]  Peter B. Jones,et al.  Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort , 2019, bioRxiv.

[26]  G. Hemani,et al.  UK Biobank Genetic Data: MRC-IEU Quality Control, version 2 , 2019 .

[27]  P. Donnelly,et al.  The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.

[28]  Jack Bowden,et al.  Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression , 2018, International journal of epidemiology.

[29]  Valeriia Haberland,et al.  The MR-Base platform supports systematic causal inference across the human phenome , 2018, eLife.

[30]  S. Rose-John Interleukin-6 Family Cytokines. , 2018, Cold Spring Harbor perspectives in biology.

[31]  G. Decavalas,et al.  Severe Sepsis and Septic Shock , 2018 .

[32]  J. Kellum,et al.  The effect of a novel extracorporeal cytokine hemoadsorption device on IL-6 elimination in septic patients: A randomized controlled trial , 2017, PloS one.

[33]  T. Wienker,et al.  Genome-wide association study of survival from sepsis due to pneumonia: an observational cohort study , 2015, The Lancet. Respiratory medicine.

[34]  J. Marshall Why have clinical trials in sepsis failed? , 2014, Trends in molecular medicine.

[35]  T. Tsuru,et al.  Mechanism-based approach using a biomarker response to evaluate tocilizumab subcutaneous injection in patients with rheumatoid arthritis with an inadequate response to synthetic DMARDs (MATSURI study) , 2013, Journal of clinical pharmacology.

[36]  S. Thompson,et al.  Use of allele scores as instrumental variables for Mendelian randomization , 2013, International journal of epidemiology.

[37]  Jennifer G. Robinson,et al.  The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis , 2012, The Lancet.

[38]  Interleukin-6 Receptor Mendelian Randomisation Analysis , 2012 .

[39]  J. Danesh,et al.  Association between C reactive protein and coronary heart disease: mendelian randomisation analysis based on individual participant data , 2011, BMJ : British Medical Journal.

[40]  M. Leinonen,et al.  Association of IL-6 and IL-6R gene polymorphisms with susceptibility to respiratory tract infections in young Finnish men. , 2011, Human immunology.

[41]  John A Kellum,et al.  Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. , 2007, Archives of internal medicine.

[42]  Steven V. Ley,et al.  Targeting C-reactive protein for the treatment of cardiovascular disease , 2006, Nature.

[43]  J. Siddiqui,et al.  Role of Interleukin-6 in Mortality from and Physiologic Response to Sepsis , 2005, Infection and Immunity.

[44]  S. Norby [Mendelian randomization]. , 2005, Ugeskrift for laeger.

[45]  T. Calandra,et al.  High circulating levels of interleukin-6 in patients with septic shock: evolution during sepsis, prognostic value, and interplay with other cytokines. The Swiss-Dutch J5 Immunoglobulin Study Group. , 1991, The American journal of medicine.