Transcriptomic Segregation of Human Autoantigens Useful for the Diagnosis of Autoimmune Diseases.
Transcriptomic Segregation of Human Autoantigens Useful for the Diagnosis of Autoimmune Diseases.
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DOI:
10.1007/s40291-016-0211-6
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发表时间:
2016-10
影响因子:
4
通讯作者:
Sapio MR
中科院分区:
文献类型:
--
作者:
Burbelo PD;Iadarola MJ;Alevizos I;Sapio MR
The measurement of autoantibodies in the clinical care of autoimmune patients allows for diagnosis, monitoring, and even disease prediction. Despite their clinical utility, the functional significance of autoantibody target proteins in many autoimmune diseases remains unclear. Here we present a comprehensive review of 52 autoantigens commonly employed for the serological diagnosis of 24 autoimmune diseases. We discuss their function, whether they have extracellular-exposed epitopes, and whether antibodies to these proteins are known to be pathogenic. Transcriptomics (RNA-Seq) datasets were mined to display messenger RNA (mRNA) expression of the autoantigens across 32 tissues and organs. This analysis revealed that autoantigens cluster into one of three groups: expression in the tissue most strongly affected in the disease (Group I), ubiquitous expression with enrichment in immune tissues (Group II), or expression in other tissues not typically associated with the clinical presentation (Group III). Clustering demonstrated that the autoantigens within Group I were often proteins containing extracellular epitopes, many of which are targets of pathogenic autoantibodies. Group II autoantigens were targets for several rheumatological diseases, including Sjögren syndrome, systemic lupus erythematosus, myositis, and systemic sclerosis, and were ubiquitously expressed with enrichment in immune-rich tissues. This raises the possibility that immune cells in Group II disorders may be the source of autoimmunization and/or targets of immune cell responses. Since tissues showing enriched autoantigen gene expression may contribute to the development of autoantibodies and subsequent autoimmunity, the emergent patterns arising from the autoantigen transcriptomic profiles may provide a new heuristic framework to deconvolute these complex disorders.
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影响因子:
158.5
作者:
Arbuckle, MR;McClain, MT;Harley, JB
通讯作者:
Harley, JB
影响因子:
13.6
作者:
Burbelo, Peter D.;Arnbatipudi, Kiran;Alevizos, Ilias
通讯作者:
Alevizos, Ilias
DOI:
10.1038/ncprheum0895
发表时间:
2008-09
期刊:
NATURE CLINICAL PRACTICE RHEUMATOLOGY
影响因子:
--
作者:
Elkon, Keith;Casali, Paolo
通讯作者:
Casali, Paolo
影响因子:
3.5
作者:
Crow, MK;Kirou, KA;Wohlgemuth, J
通讯作者:
Wohlgemuth, J
影响因子:
168.9
作者:
Atkinson, Mark A.;Eisenbarth, George S.;Michels, Aaron W.
通讯作者:
Michels, Aaron W.