Asthma is characterised by heterogeneous clinical phenotypes. Our objective was to determine molecular phenotypes of asthma by analysing sputum cell transcriptomics from 104 moderate-to-severe asthmatic subjects and 16 nonasthmatic subjects.After filtering on the differentially expressed genes between eosinophil- and noneosinophil-associated sputum inflammation, we used unbiased hierarchical clustering on 508 differentially expressed genes and gene set variation analysis of specific gene sets.We defined three transcriptome-associated clusters (TACs): TAC1 (characterised by immune receptors , and ), TAC2 (characterised by interferon-, tumour necrosis factor-α- and inflammasome-associated genes) and TAC3 (characterised by genes of metabolic pathways, ubiquitination and mitochondrial function). TAC1 showed the highest enrichment of gene signatures for interleukin-13/T-helper cell type 2 (Th2) and innate lymphoid cell type 2. TAC1 had the highest sputum eosinophilia and exhaled nitric oxide fraction, and was restricted to severe asthma with oral corticosteroid dependency, frequent exacerbations and severe airflow obstruction. TAC2 showed the highest sputum neutrophilia, serum C-reactive protein levels and prevalence of eczema. TAC3 had normal to moderately high sputum eosinophils and better preserved forced expiratory volume in 1 s. Gene-protein coexpression networks from TAC1 and TAC2 extended this molecular classification.We defined one Th2-high eosinophilic phenotype TAC1, and two non-Th2 phenotypes TAC2 and TAC3, characterised by inflammasome-associated and metabolic/mitochondrial pathways, respectively.

α-Galactosylceramide (αGalCer) stimulates NKT cells and has antitumor activity in mice. Murine NKT cells may directly kill tumor cells and induce NK cell cytotoxicity, but the mechanisms are not well defined. Newly developed human CD1d/αGalCer tetrameric complexes were used to obtain highly purified human αGalCer-reactive NKT cell lines (>99%), and the mechanisms of NKT cell cytotoxicity and activation of NK cells were investigated. Human NKT cells were cytotoxic against CD1d− neuroblastoma cells only when they were rendered CD1d+ by transfection and pulsed with αGalCer. Four other CD1d− tumor cell lines of diverse origin were resistant to NKT cells, whereas Jurkat and U937 leukemia cell lines, which are constitutively CD1d+, were killed. Killing of the latter was greatly augmented in the presence of αGalCer. Upon human CD1d/αGalCer recognition, NKT cells induced potent cytotoxicity of NK cells against CD1d− neuroblastoma cell lines that were not killed directly by NKT cells. NK cell activation depended upon NKT cell production of IL-2, and was enhanced by secretion of IFN-γ. These data demonstrate that cytotoxicity of human NKT cells can be CD1d and ligand dependent, and that TCR-stimulated NKT cells produce IL-2 that is required to induce NK cell cytotoxicity. Thus, NKT cells can mediate potent antitumor activity both directly by targeting CD1d and indirectly by activating NK cells.

Clustering based on clinicophysiologic parameters yielded 4 stable and reproducible clusters that associate with different pathobiological pathways.

Analysis of cytokine and differentiation antigen expression in human natural killer (NK) cells revealed that interleukin 13 (IL-13) and interferon gamma (IFN-gamma) are produced at sequential stages during irreversible IL-12-induced differentiation. In human NK cell clones, polyclonal CD3-CD161+CD56- cells and peripheral lymphocytes, IL-4 induced the proliferation of both IL-13+ NK and T cells, whereas IL-12 allowed a proliferation-independent accumulation of IFN-gamma+ cells. These data disproved the NK1-NK2 hypothesis and challenge the current T helper 1 (TH1)-TH2 paradigm. We propose that the cytokine environment regulates a type 2-->0-->1 developmental progression, with IL-12 needed for terminal differentiation and IL-4 delaying this process, rather than a type 1 versus type 2 decision of a type 0 cell.

Background: Sputum analysis in asthma is used to define airway inflammatory processes and may guide therapy. Objective: To determine differential gene and protein expression in sputum samples from patients with severe asthma (SA) compared to mildmoderate non-smoking asthmatics (MMA). Methods: Induced sputum was obtained from non-smoking SA (SAn), smokers/ex-smokers with SA (SAsm), MMA and healthy non-smoking controls. Differential cell counts, microarray analysis of cell pellets and SOMAscan analysis of sputum analytes was performed. CRID3 was used to inhibit the inflammasome in a mouse model of severe asthma. Results: Eosinophilic and mixed neutrophilic/eosinophilic inflammation were more prevalent in SA compared to MMA. 42 genes probes were upregulated (>2-fold) in SAn compared to MMA including IL-1R family and NRLP3 inflammasome members (FDR<0.05). The inflammasome proteins NLRP1, NLRP3 and NLRC4 were associated with neutrophilic asthma and with sputum IL--13-induced Th2 signature and IL1RL1 mRNA expression. These differences were sputum-specific since no activation of NLRP3 or enrichment of IL-1R family genes in bronchial brushings or biopsies in SA was observed. Expression of NLRP3 and of the IL-1R family genes was validated in the Airway Disease Endotyping for Personalized Therapeutics (ADEPT) cohort. Inflammasome inhibition using CRID3 prevented airway hyperresponsiveness and airway inflammation (both neutrophilia and eosinophilia) in a mouse model of severe allergic asthma.Conclusion: IL1RL1 gene expression is associated with eosinophilic SA whilst NLRP3 inflammasome expression is highest in neutrophilic SA. Th2-driven eosinophilic inflammation and neutrophil-associated inflammasome activation may represent interacting pathways in SA.Imperial College of Science, Technology and Medicine We enclose a revised version of the above manscript entitled 'Sputum transcriptomics reveal upregulation of IL-1 receptor family members in severe asthma' by Rossios and collagues.We have responded to the Reviewer's comments in a point by point manner below and have incorporated the changes requested.We hope that the manuscript is now acceptable for publication. Responses to CommentsImperial College of Science, Technology and Medicine EDITOR'S SPECIFIC COMMENTS: Thank you for your thoughtful revision of this manuscript. However, I agree with Reviewer 2 in that adjusting for cell composition will allow you to determine whether your results are driven largely by differences in cellular composition or by true differences in gene expression. This will affect the interpretation of your results and provide important biological insight. Response: we have added this detail as detailed in response to Reviewers 1 and 2 below. COMMENTS FROM REVIEWER #1:The authors have addressed most of my original comments and have rewritten some sections of the manuscript to increase overall clarity. Response: We thank the Reviewer for their helpful comments which have improved the paper considerably.The one issue they did not address is...