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pmid:32500289
Innate immune stimulation of whole blood reveals IFN-1 hyper-responsiveness in type 1 diabetes.
Kameron B Rodrigues · Matthew J Dufort · Alba Llibre · Cate Speake · M Jubayer Rahman · Vincent Bondet · Juan Quiel · Peter S Linsley · Carla J Greenbaum · Darragh Duffy · Kristin V Tarbell
Diabetologia · 2020 doi:10.1007/s00125-020-05179-4
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Experiment
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Complete file
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Innate immunity in human type 1 diabetes has primarily been assessed via gene-expression analysis of unstimulated peripheral blood mononuclear cells, without the immune activation that could amplify disease-associated signals. Increased responsiveness in each of the two main innate immune pathways, driven by either type 1 IFN (IFN-1) or IL-1, have been detected in type 1 diabetes, but the dominant innate pathway is still unclear. This study aimed to determine the key innate pathway in type 1 diabetes and assess the whole blood immune stimulation assay as a tool to investigate this.\nMETHODS: The TruCulture whole blood ex vivo stimulation assay, paired with gene expression and cytokine measurements, was used to characterise changes in the stimulated innate immune response in type 1 diabetes. We applied specific cytokine-induced signatures to our data, pre-defined from the same assays measured in a separate cohort of healthy individuals. In addition, NOD mice were stimulated with CpG and monocyte gene expression was measured.\nRESULTS: Monocytes from NOD mice showed lower baseline vs diabetes-resistant B6.g7 mice, but higher induced IFN-1-associated gene expression. In human participants, ex vivo whole blood stimulation revealed higher induced IFN-1 responses in type 1 diabetes, as compared with healthy control participants. In contrast, neither the IL-1-induced gene signature nor response to the adaptive immune stimulant Staphylococcal enterotoxin B were significantly altered in type 1 diabetes samples vs healthy control participants. Targeted gene-expression analysis showed that this enhanced IFN response was specific to IFN-1, as IFN-γ-driven responses were not significantly different.\nCONCLUSIONS/INTERPRETATION: Our study identifies increased responsiveness to IFN-1 as a feature of both the NOD mouse model of autoimmune diabetes and human established type 1 diabetes. A stimulated IFN-1 gene signature may be a potential biomarker for type 1 diabetes and used to evaluate the effects of therapies targeting this pathway.\nDATA AVAILABILITY: Mouse gene expression data are found in the gene expression omnibus (GEO) repository, accession GSE146452 ( www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146452 ). Nanostring count data from the human experiments were deposited in the GEO repository, accession GSE146338 ( www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146338 ). Data files and R code for all analyses are available at https://github.com/rodriguesk/T1D_truculture_diabetologia . Graphical abstract.", "claims": [{"id": "claim-method", "statement": "Differential gene expression was determined using limma-voom [42], accounting for non-independence of samples from the same participant using limma’s duplicateCorrelation. 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In addition, NOD mice were stimulated with CpG and monocyte gene expres", "veness to IFN-1 as a feature of both the NOD mouse model of autoimmune diabetes and human established", "veness to IFN-1 as a feature of both the NOD mouse model of autoimmune diabetes and human estab", "s targeting this pathway. DATA AVAILABILITY: Mouse gene expression data are found in the gene e"], "order_basis": "paper_text_order:1198", "id": "assay:1"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differential gene expression was determined using limma-voom [42], accounting for non-independence of samples from the same participant using limma’s duplicateCorrelation. Multiple comparisons were adjusted using the Benjamini–Hochberg false discovery rate (FDR)."], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}