Literature DB >> 18209091

Identification of a molecular signature in human type 1 diabetes mellitus using serum and functional genomics.

Xujing Wang1, Shuang Jia, Rhonda Geoffrey, Ramin Alemzadeh, Soumitra Ghosh, Martin J Hessner.   

Abstract

Understanding active proinflammatory mechanisms at and before type 1 diabetes mellitus (T1DM) onset is hindered in humans, given that the relevant tissues are inaccessible and pancreatic immune responses are difficult to measure in the periphery by traditional approaches. Therefore, we investigated the use of a sensitive and comprehensive genomics strategy to investigate the presence of proinflammatory factors in serum. The sera of recent onset diabetes patients (n = 15, 12 possessing and 3 lacking islet cell autoantibodies), long-standing diabetes patients (n = 12), "at risk" siblings of diabetes patients (n = 9), and healthy controls (n = 12) were used to induce gene expression in unrelated, healthy PBMC. After culture, gene expression was measured with microarrays and normalized expression data were subjected to hierarchical clustering and multidimensional scaling. All recent onset sera induced an expression signature (192 UniGenes; fold change: >1.5, p < 0.01; false discovery rate: <0.01) that included IL-1 cytokine family members and chemokines involved in monocyte/macrophage and neutrophil chemotaxis, as well as numerous receptors and signaling molecules. This molecular signature was not induced with the sera of healthy controls or long standing diabetes patients, where longitudinal analysis of "at risk" siblings (n = 3) before and after onset support the hypothesis that the signature emerges years before onset. This study supports prior investigations of serum that reflect disease processes associated with progression to T1DM. Identification of unique inflammatory mediators may improve disease prediction beyond current islet autoantibodies. Furthermore, proinflammatory serum markers may be used as inclusion criteria or endpoint measures in clinical trials aimed at preventing T1DM.

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Year:  2008        PMID: 18209091     DOI: 10.4049/jimmunol.180.3.1929

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  64 in total

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Review 4.  Novel biomarkers in type 1 diabetes.

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Review 5.  Type 1 diabetes therapy beyond T cell targeting: monocytes, B cells, and innate lymphocytes.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-12-07       Impact factor: 4.254

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8.  Immune profiling by multiple gene expression analysis in patients at-risk and with type 1 diabetes.

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9.  From immunobiology to β-cell biology: the changing perspective on type 1 diabetes.

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10.  Banting Lecture 2009: An unfinished journey: molecular pathogenesis to prevention of type 1A diabetes.

Authors:  George S Eisenbarth
Journal:  Diabetes       Date:  2010-04       Impact factor: 9.461

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