Gene Set: GSE9006_TYPE_1_DIABETES_AT_DX_VS_4MONTH_POST_DX_PBMC_DN

Standard name GSE9006_TYPE_1_DIABETES_AT_DX_VS_4MONTH_POST_DX_PBMC_DN
Systematic name M5788
Brief description Genes down-regulated in comparison of peripheral blood mononuclear cells (PBMC) from patients with type 1 diabetes at the time of the diagnosis versus those at 4 months later.
Full description or abstract Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1? (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1? and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy.
Collection C7: immunologic signature gene sets
      IMMUNESIGDB: ImmuneSigDB gene sets
Source publication Pubmed 17595242   Authors: Kaizer EC,Glaser CL,Chaussabel D,Banchereau J,Pascual V,White PC.
Exact source GSE9006_2242_200_DN
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Organism Homo sapiens
Contributed by Jernej Godec (Dana-Farber Cancer Institute)
Source platform HUMAN_GENE_SYMBOL
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Version history 7.3: Moved to ImmuneSigDB sub-collection.

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