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Background Several animal studies, and one inoculation study in adult asthmatics have shown that interleukin-33 (IL-33) is a major contributor to type-2 inflammation in acute asthma. However, the link between IL-33 and type-2 inflammation has not been shown in naturally occurring asthma exacerbations. Objectives To determine if airway IL-33 is associated with type-2 inflammation measured by type-2 cytokines, FeNO and sputum eosinophils in patients presenting to the Emergency Department with an asthma exacerbations. Methods Adult patients hospitalized due to acute asthma were enrolled. Upper airways were sampled with nasal swabs and lower airways with induced sputum. Cytokines were measured at protein level using a Luminex® assay and mRNA expression level using droplet-digital-PCR. Airway sampling was repeated four weeks after exacerbation. Results At the time of exacerbation, upper airway IL-33 correlated with upper airway IL-5 and IL-13 (R = 0.84, p, Highlights • IL-33 correlates to type 2 cytokines in hospitalized patients with acute asthma. • Airway IL-13 and IL-33 positively correlate with fractional exhaled nitric oxide. • Airway IL-5 correlates to blood eosinophils in naturally occurring acute asthma.

Idiopathic pulmonary fibrosis (IPF) is a chronic disease characterised by progressive decline in pulmonary function. The rate of decline can vary, with some patients remaining stable over longer periods of time and others rapidly progressing [1]. tThe variable progression of this disease makes it difficult to elucidate pathogenic pathways involved in the initiation and progression of IPF. Advances in high-throughput gene-expression analyses have led to improvements in our understanding of disease biology and prognostic gene signatures. We hypothesise that IPF has a unique circulatory transcriptional profile compared to healthy controls, with additional differences between stable and progressive disease likely related to disease pathogenesis. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Miss Clynick has nothing to disclose. Conflict of interest: Dr. Jo has nothing to disclose. Conflict of interest: Dr. Corte has nothing to disclose. Conflict of interest: Dr. Glaspole has nothing to disclose. Conflict of interest: Dr. Grainge has nothing to disclose. Conflict of interest: Dr. Hopkins has nothing to disclose. Conflict of interest: Dr. Reynolds has nothing to disclose. Conflict of interest: Dr. Chapman has nothing to disclose. Conflict of interest: Dr. Walters has nothing to disclose. Conflict of interest: Dr. Zappala has nothing to disclose. Conflict of interest: Dr. Keir has nothing to disclose. Conflict of interest: Dr. Cooper has nothing to disclose. Conflict of interest: Dr. Mahar has nothing to disclose. Conflict of interest: Dr. Ellis has nothing to disclose. Conflict of interest: Dr. Goh has nothing to disclose. Conflict of interest: Dr. Baltic has nothing to disclose. Conflict of interest: Miss Ryan has nothing to disclose. Conflict of interest: Dr. Tan has nothing to disclose. Conflict of interest: Dr. Moodley has nothing to disclose.

EgeUn###, Rationale: Several common and rare genetic variants have been associated with idiopathic pulmonary fibrosis, a progressive fibrotic condition that is localized to the lung. Objectives: To develop an integrated understanding of the rare and common variants located in multiple loci that have been reported to contribute to the risk of disease. Methods: We performed deep targeted resequencing (3.69 Mb of DNA) in cases (n = 3,624) and control subjects (n = 4,442) across genes and regions previously associated with disease. We tested for associations between disease and 1) individual common variants via logistic regression and 2) groups of rare variants via sequence kernel association tests. Measurements and Main Results: Statistically significant common variant association signals occurred in all 10 of the regions chosen based on genome-wide association studies. The strongest risk variant is the MUC5B promoter variant rs35705950, with an odds ratio of 5.45 (95% confidence interval, 4.91-6.06) for one copy of the risk allele and 18.68 (95% confidence interval, 13.34-26.17) for two copies of the risk allele (P = 9.60 3 102295). In addition to identifying for the first time that rare variation in FAM13A is associated with disease, we confirmed the role of rare variation in the TERT and RTEL1 gene regions in the risk of IPF, and found that the FAM13A and TERT regions have independent common and rare variant signals. Conclusions: A limited number of common and rare variants contribute to the risk of idiopathic pulmonary fibrosis in each of the resequencing regions, and these genetic variants focus on biological mechanisms of host defense and cell senescence. Copyright © 2019 by the American Thoracic Society, Háskóli Íslands, HI University of Chicago University of Ulsan, UOU Monash University, MU University of Nottingham University of Edinburgh University of Colorado Denver Universitat de Barcelona University of Pittsburgh, Pitt Harvard School of Dental Medicine Massachusetts General Hospital, MGH University of Pennsylvania, Penn University College Cork, UCC City, University of London, City University of California, San Francisco, UCSF School of Medicine, Vanderbilt University Ege Üniversitesi University of Virginia, UV Aarhus Universitetshospital Central Manchester University Hospitals NHS Foundation Trust Columbia University Novartis Sunovion COPD Foundation Pfizer National Heart, Lung, and Blood Institute, NHLBI: R01-HL097163, UH3-HL123442, P01-HL092870 U.S. Department of Defense, DOD: W81XWH-17-1-0597, U01 HL089897, U01 HL089856 AstraZeneca Siemens Foundation North Carolina GlaxoSmithKline Foundation, 1National Jewish Health, Denver, Colorado; 2School of Public Health; 3Department of Medicine, and 54Department of Immunology, University of Colorado Denver, Denver, Colorado; 4Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee; 5Brigham and Women’s Hospital, Harvard School of Medicine, Boston, Massachusetts; 6Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma;7Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; 8MRC Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom; 9Respiratory Medicine Unit, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom; 10Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom; 11Royal Brompton Hospital and Imperial College, London, United Kingdom; 12Simmons Center for Interstitial Lung Disease, University of Pittsburgh, Pittsburgh, Pennsylvania; 13Department of Medicine, University of California, San Francisco, San Francisco, California; 14Gilead Sciences, Foster City, California; 15Department of Medicine, University of Chicago, Chicago, Illinois; 16Department of Medicine, University of Virginia, Charlottesville, Virginia; 17Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; 18National Hospital Organization Kinki-Chuo Chest Medical Center, Osaka, Japan; 19National Hospital Organization Tokyo National Hospital, Tokyo, Japan; 20Helmholtz Zentrum München, Neuherberg, Germany; 21University Hospital Munich, Munich, Germany; 22Department of Pulmonology, Ege University Hospital, Bornova, Izmir, Turkey; 23Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia; 24Alfred Hospital and Monash University, Melbourne, Australia; 25Pulmonary Medicine, GB Morgagni Hospital, Forlì, Italy; 26Department of Diseases of the Thorax, Ospedale GB Morgagni, Forlì, Italy; 27Université Paris Diderot and Hôpital Bichat, Paris, France; 28Royal Papworth Hospital and Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom; 29Respiratory Department, University Hospital of Bellvitge, University of Barcelona, Barcelona, Spain; 30National University Hospital of Iceland, University of Iceland, Reykjavik, Iceland; 31Department of Medicine, Columbia University Irving Medical Center, New York, New York; 32Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts; 33Department of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark; 34Instituto Nacional de Enfermedades Respiratorias “Ismael Cosio Villegas,” México City, México; 35Universidad Nacional Autónoma de México, México City, México; 36Cork University Hospital and University College Cork, Cork, Ireland; 37St. Vincent’s University Hospital, Dublin, Ireland; 38School of Medicine, University College Dublin, Dublin, Ireland; 39Department of Respiratory Medicine, First Faculty of Medicine Charles University and Thomayer Hospital, Prague, Czech Republic; 40University of British Columbia, Vancouver, Canada; 41Tokyo Medical and Dental University, Tokyo, Japan; 42Institute for Respiratory Health and; 43Centre for Cell Therapy and Regenerative Medicine, School of Biomedical Sciences, The University of Western Australia, Perth, Australia; 44Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island; 45Advanced Lung Disease and Transplant Program, Inova Fairfax Hospital, Falls Church, Virginia; 46Department of Pulmonary Medicine, Gazi University School of Medicine, Ankara, Turkey; 47Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama; 48Ruhrlandklinik, University Hospital, University of Duisburg-Essen, Essen, Germany; 49Department of Medicine, Tallaght University Hospital, Trinity College Dublin, Dublin, Ireland; 50CardioPulmonary Reserach Center, Alliance Pulmonary Group, Guaynabo, Puerto Rico; 51Department of Internal Medicine, University of Genoa, Genoa, Italy; 52Biomedical Genomics Center, University of Minnesota; Minneapolis, Minnesota; and 53Northwest Genomics Center, University of Washington, Seattle, Washington -- This research was supported by grants from the NHLBI (R01-HL097163, P01-HL092870, and UH3-HL123442) and the Department of Defense (W81XWH-17-1-0597). The COPDGene project was supported by Award Number U01 HL089897 and Award Number U01 HL089856 from the NHLBI. The COPDGene project was also supported by the COPD Foundation through contributions made to an industry advisory board comprised of AstraZeneca, Boehringer Ingelheim, GlaxoSmithKline, Novartis, Pfizer, Siemens, and Sunovion.

Idiopathic pulmonary fibrosis (IPF) is a chronic disease characterised by an overall poor prognosis. The rate of disease decline and progression to death can vary, with some patients remaining stable over longer periods of time and others displaying rapid progression [1, 2]. The highly heterogeneous nature of this disease makes it difficult to elucidate the pathways involved in the initiation and progression of IPF and what determines the clinical trajectory of these patients. Advances in high-throughput gene expression analyses have led to improvements in our understanding of disease biology with insights into prognostic and predictive gene signatures [3]. This study sought to characterise differences in gene expression profiles found in the circulation between “stable” and “progressive” IPF patients, to help identify relevant biomarkers that may provide insights into the pathogenesis of progressive IPF. Footnotes This manuscript has recently been accepted for publication in the European Respiratory Journal . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJ online. Please open or download the PDF to view this article. Conflict of interest: Miss Clynick has nothing to disclose. Conflict of interest: Dr. Jo has nothing to disclose. Conflict of interest: Dr. Corte has nothing to disclose. Conflict of interest: Dr. Glaspole has nothing to disclose. Conflict of interest: Dr. Grainge has nothing to disclose. Conflict of interest: Dr. Hopkins has nothing to disclose. Conflict of interest: Dr. Reynolds has nothing to disclose. Conflict of interest: Dr. Chapman has nothing to disclose. Conflict of interest: Dr. Walters has nothing to disclose. Conflict of interest: Dr. Zappala has nothing to disclose. Conflict of interest: Dr. Keir has nothing to disclose. Conflict of interest: Dr. Cooper has nothing to disclose. Conflict of interest: Dr. Mahar has nothing to disclose. Conflict of interest: Dr. Ellis has nothing to disclose. Conflict of interest: Dr. Goh has nothing to disclose. Conflict of interest: Dr. Baltic has nothing to disclose. Conflict of interest: Miss Ryan has nothing to disclose. Conflict of interest: Dr. Tan has nothing to disclose. Conflict of interest: Dr. Moodley has nothing to disclose.

Background To date, no genome-wide association study (GWAS) has considered the combined phenotype of asthma with hay fever. Previous analyses of family data from the Tasmanian Longitudinal Health Study provide evidence that this phenotype has a stronger genetic cause than asthma without hay fever. Objective We sought to perform a GWAS of asthma with hay fever to identify variants associated with having both diseases. Methods We performed a meta-analysis of GWASs comparing persons with both physician-diagnosed asthma and hay fever (n = 6,685) with persons with neither disease (n = 14,091). Results At genome-wide significance, we identified 11 independent variants associated with the risk of having asthma with hay fever, including 2 associations reaching this level of significance with allergic disease for the first time: ZBTB10 (rs7009110; odds ratio [OR], 1.14; P = 4 × 10 −9 ) and CLEC16A (rs62026376; OR, 1.17; P = 1 × 10 −8 ). The rs62026376:C allele associated with increased asthma with hay fever risk has been found to be associated also with decreased expression of the nearby DEXI gene in monocytes. The 11 variants were associated with the risk of asthma and hay fever separately, but the estimated associations with the individual phenotypes were weaker than with the combined asthma with hay fever phenotype. A variant near LRRC32 was a stronger risk factor for hay fever than for asthma, whereas the reverse was observed for variants in/near GSDMA and TSLP . Single nucleotide polymorphisms with suggestive evidence for association with asthma with hay fever risk included rs41295115 near IL2RA (OR, 1.28; P = 5 × 10 −7 ) and rs76043829 in TNS1 (OR, 1.23; P = 2 × 10 −6 ). Conclusion By focusing on the combined phenotype of asthma with hay fever, variants associated with the risk of allergic disease can be identified with greater efficiency.

INTRODUCTION Animal studies, and in vivo inoculation with rhinovirus, have shown that the epithelial-derived cytokine interleukin-33 (IL-33) is a major contributor to Th2-inflammation in acute asthma. However the link between IL-33 and Th2-inflammation has never been shown in naturally occurring cases of acute asthma. AIMS AND OBJECTIVES To determine whether IL-33 plays a role in driving Th2-inflammation in hospitalised acute asthma patients, we aimed to investigate whether the level of IL-33 in the nasal epithelium correlated with levels of Th2 cytokines in upper and lower airways. METHODS Patients admitted to hospital with an acute asthma exacerbation were recruited. Nasal swabs were used to sample nasal fluid representing upper airways, and induced sputum were collected, representing lower airways. Sampling was repeated after 4 weeks, and all samples analysed using Droplet Digital PCR for IL-33, IL-5 and IL-13. RESULTS Nineteen patients were recruited. Nasal IL-33 correlated with IL-5 in both upper and lower airways during acute asthma (0.75, p=0.008 and 0.74, p=0.010, respectively). Similar correlations were found with IL-13 (0.64, p=0.018 and 0.65, p=0.017, respectively). These associations were not significant at the 4-week follow-up. Sputum IL-33 was not associated with IL-5 or IL-13 in either sputum or in the nasal epithelium. CONCLUSION Nasal, but not sputum IL-33 is associated with Th2-promoting cytokines IL-5 and IL-13 in naturally occurring acute asthma cases. These findings support the role of IL-33 as an initiator of Th2-inflammation in acute asthma.

INTRODUCTION: Pro-inflammatory signalling by the receptor for advanced glycation end products (RAGE), has been described in stable asthma, and a protective role of soluble RAGE (esRAGE) is well established, but the role of esRAGE and RAGE ligands (including enRAGE) is unknown in acute asthma. We aimed to determine whether RAGE signalling is involved in the increased inflammation seen during asthma exacerbations. METHODS: Adult asthmatics were recruited on presentation with acute asthma to Bispebjerg University Hospital during a one-year period. Spirometry and blood samples were collected within 24 hours of admission and repeated after 12 weeks. RESULTS: Patients (n=47) were 16-45 years old and 70% were females. Serum enRAGE was higher (78 ng/ml 95%CI 62-99, p = 0.001) at exacerbation than follow-up (41 ng/ml 95%CI 29-57), while serum esRAGE was lower (96 pg/ml 95%CI 79-115 vs. 158 pg/ml 95%CI 134-187, respectively, p Both enRAGE and the ratio of enRAGE to esRAGE correlated negatively with FEV 1 at exacerbation adjusting for age, gender, ICS usage, blood neutrophil count and detection of respiratory pathogens (p=0.012, R 2 =0.26 and p=0.014, R 2 =0.26, respectively). Patients with a severe or life threatening exacerbation, as defined by BTS guidelines (n=23), had higher enRAGE (83.9 95%CI 56.8-123.8, p=0.046) than patients with a mild to moderate exacerbation (52.1 95%CI 39.1-69.5). CONCLUSION: A systemic, pro-inflammatory response mediated by RAGE, is increased during acute asthma and correlates with the severity of symptoms.

INTRODUCTION: TSLP is released from the airway epithelium in response to damage and is pivotal in orchestrating type 2 immune responses seen in allergic asthma. However, the role of TSLP in exacerbations of asthma has not been evaluated. AIM: We sought to investigate whether the epithelial damage associated with an asthma exacerbation would increase TSLP expression and whether this in turn would promote an increase in sputum eosinophils. METHODS: During 12 months, adult asthmatics, admitted to hospital with an asthma exacerbation, were recruited. Induced sputum was collected within 24 hours of admission. TSLP mRNA was quantified using Droplet Digital PCR. RESULTS: A total of 47 patients were recruited, of which 28 had sputum samples suitable for gene expression analysis (age 19-43, 61% females). Expression of TSLP mRNA in sputum correlated with the total count of non-squamous cells (Spearman9s rho 0.52, p=0.004). There was an inverse correlation between TSLP mRNA and %-eosinophils (rho -0.46, p=0.02), while there was no correlation with the percentage of neutrophils, macrophages, lymphocytes or columnar epithelial cells, respectively. In patients with suitable sputum at both exacerbation and follow-up (n=18), there was not a significant difference in TSLP expression (p=0.174). The same inverse correlation with TSLP and %-eosinophils was seen at follow-up (rho -0.49, p=0.04). CONCLUSIONS: TSLP expression in sputum correlates with total cell count, and, somewhat surprisingly, inversely with %-eosinophils. While TSLP is well described as a master switch of type 2 inflammation in stable asthma, these results indicate that other factors determine the inflammatory phenotype during asthma exacerbations.

Cystic Fibrosis (CF) is often accompanied by diabetes leading to worsening lung function, the reason for which is unclear. The receptor for advanced-glycation-end-products (RAGE) regulates immune responses and inflammation and has been linked to diabetes and possibly CF. We performed a pilot study to determine if CF and CF-related diabetes (CFRD) are associated with enhanced RAGE expression. Full length (fl)RAGE, soluble (s)RAGE, endogenous soluble (es)RAGE, S100A12 (enRAGE) and advanced-glycation-end-products (AGE) expression was assessed in serum, white blood cells and sputum of patients with CF; diabetes; CFRD and healthy subjects. Sputum enRAGE/sRAGE ratios were high in CF but particularly in CFRD which negatively correlated with % predicted FEV1. Serum AGE and AGE/sRAGE ratios were high in diabetics but not in CF. A complex, multifaceted approach was used to assess the role of RAGE and its ligands which is fundamental to determining their impact on airway inflammation. There is a clear association between RAGE activity in the airways of CF and CFRD patients that is not evident in the vascular compartment and correlates with lung function, in contrast to diabetes. This strongly suggests a role for RAGE in contributing to the inflammatory overdrive seen in CF and to a greater extent in CFRD.

Background β2 adrenergic receptor (ADRβ2) polymorphisms including ADRβ2+46G>A have been reported to cause adverse outcomes in mild asthmatics. The extent to which ADRβ2 polymorphisms and in particular their haplotypes contribute to severe asthma is unknown. Objective To determine the association of ADRβ2 polymorphisms and haplotypes with asthma severity. Methods Caucasians (n = 2979) were genotyped for 11 ADRβ2 polymorphisms. The cohort (mean age 39.6, 60% female) included 2296 non-asthmatics, 386 mild asthmatics, 172 moderate asthmatics and 125 severe asthmatics. Haplotype frequency and haplotype pair for each subject was determined using the PHASE algorithm. Results The three asthmatic cohorts were comparable in age and gender but were distinguishable from each other in terms of symptoms, spirometry, medication use and health care utilisation (p

Introduction. Premature ovarian failure (POF) is characterized by amenorrhea, hypergonadotropism and hypoestrogenism in women bellow 40 years. Osteoporosis is one of the late complications of POF. Objective. To correlate collagen type I alpha1 (COLIA1) gene polymorphism with bone mineral density (BMD) in women with POF. Methods. We determined the COLIA1 genotypes SS, Ss, ss in 66 women with POF. Single nucleotide polymorphism (G to T substitution) within the Sp 1-binding site in the first intron of the COLIA1 gene was assessed by polymerase chain reaction (PCR) followed by single-stranded conformation polymorphism (SSCP) analysis. Bone mineral density (BMD) was measured at the lumbar spine region by dual X-ray absorptiometry. Statistics: Kruskal-Wallis ANOVA, Chisquare test, Spearman correlation test. Results. The relative distribution of COLIA1 genotype alleles was SS - 54.4%, Ss - 41.0% and ss - 4.5%. No significant differences were found between genotype groups in body mass index, age, duration of amenorrhea or BMD. A significant positive correlation was observed between BMI and parity. Conclusion. The COLIA1 gene is just one of many genes influencing bone characteristics. It may act as a marker for differences in bone quantity and quality, bone fragility and accelerated bone loss in older women. However, in young women with POF, COLIA1 cannot identify those at higher risk for osteoporosis. [Projekat Ministarstva nauke Republike Srbije, br. ON 173056]

Background: The genetic basis for developing asthma has been extensively studied. However, association studies to date have mostly focused on mild to moderate disease and genetic risk factors for severe asthma remain unclear. Objective: To identify common genetic variants affecting susceptibility to severe asthma. Methods: A genome-wide association study was undertaken in 933 European ancestry individuals with severe asthma based on Global Initiative for Asthma (GINA) criteria 3 or above and 3346 clean controls. After standard quality control measures, the association of 480?889 genotyped single nucleotide polymorphisms (SNPs) was tested. To improve the resolution of the association signals identified, non-genotyped SNPs were imputed in these regions using a dense reference panel of SNP genotypes from the 1000 Genomes Project. Then replication of SNPs of interest was undertaken in a further 231 cases and 1345 controls and a meta-analysis was performed to combine the results across studies. Results: An association was confirmed in subjects with severe asthma of loci previously identified for association with mild to moderate asthma. The strongest evidence was seen for the ORMDL3/GSDMB locus on chromosome 17q12-21 (rs4794820, p=1.03×10 (-8) following meta-analysis) meeting genome-wide significance. Strong evidence was also found for the IL1RL1/IL18R1 locus on 2q12 (rs9807989, p=5.59×10 (-8) following meta-analysis) just below this threshold. No novel loci for susceptibility to severe asthma met strict criteria for genome-wide significance. Conclusions: The largest genome-wide association study of severe asthma to date was carried out and strong evidence found for the association of two previously identified asthma susceptibility loci in patients with severe disease. A number of novel regions with suggestive evidence were also identified warranting further study. Copyright Article author (or their employer) 2012.

Summary Background We aimed to identify novel genetic variants affecting asthma risk, since these might provide novel insights into molecular mechanisms underlying the disease. Methods We did a genome-wide association study (GWAS) in 2669 physician-diagnosed asthmatics and 4528 controls from Australia. Seven loci were prioritised for replication after combining our results with those from the GABRIEL consortium (n=26 475), and these were tested in an additional 25 358 independent samples from four in-silico cohorts. Quantitative multi-marker scores of genetic load were constructed on the basis of results from the GABRIEL study and tested for association with asthma in our Australian GWAS dataset. Findings Two loci were confirmed to associate with asthma risk in the replication cohorts and reached genome-wide significance in the combined analysis of all available studies (n=57 800): rs4129267 (OR 1·09, combined p=2·4×10 −8 ) in the interleukin-6 receptor ( IL6R ) gene and rs7130588 (OR 1·09, p=1·8×10 −8 ) on chromosome 11q13.5 near the leucine-rich repeat containing 32 gene ( LRRC32 , also known as GARP ). The 11q13.5 locus was significantly associated with atopic status among asthmatics (OR 1·33, p=7×10 −4 ), suggesting that it is a risk factor for allergic but not non-allergic asthma. Multi-marker association results are consistent with a highly polygenic contribution to asthma risk, including loci with weak effects that might be shared with other immune-related diseases, such as NDFIP1 , HLA-B , LPP , and BACH2 . Interpretation The IL6R association further supports the hypothesis that cytokine signalling dysregulation affects asthma risk, and raises the possibility that an IL6R antagonist (tocilizumab) may be effective to treat the disease, perhaps in a genotype-dependent manner. Results for the 11q13.5 locus suggest that it directly increases the risk of allergic sensitisation which, in turn, increases the risk of subsequent development of asthma. Larger or more functionally focused studies are needed to characterise the many loci with modest effects that remain to be identified for asthma. Funding National Health and Medical Research Council of Australia. A full list of funding sources is provided in the webappendix.

Funded by: UK Medical Research Council, British Heart Foundation, UK National Institute for Health Research, National Institute for Health Research Cambridge Biomedical Research Centre, European Research Council, and European Commission Framework Programme 7. 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. Methods: 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). Findings: 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), concentrations of interleukin 6 decreased by 0·02 SD (-0·04 to -0·01; -1·7%; p=3·5 × 10), and concentrations of C-reactive protein decreased by 0·03 SD (-0·04 to -0·02; -3·4%; p=7·7 × 10). 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) 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). Per-allele odds ratios were 0·97 (0·95-0·99; p=9·9 × 10) 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) 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. Interpretation: 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. Publisher PDF