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Common Marker Genes Identified from Various Sample Types for Systemic Lupus Erythematosus

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Journal PLoS One
Date 2016 Jun 4
PMID 27257790
Citations 24
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Abstract

Objective: Systemic lupus erythematosus (SLE) is a complex auto-immune disease. Gene expression studies have been conducted to identify SLE-related genes in various types of samples. It is unknown whether there are common marker genes significant for SLE but independent of sample types, which may have potentials for follow-up translational research. The aim of this study is to identify common marker genes across various sample types for SLE.

Methods: Based on four public microarray gene expression datasets for SLE covering three representative types of blood-born samples (monocyte; peripheral blood mononuclear cell, PBMC; whole blood), we utilized three statistics (fold-change, FC; t-test p value; false discovery rate adjusted p value) to scrutinize genes simultaneously regulated with SLE across various sample types. For common marker genes, we conducted the Gene Ontology enrichment analysis and Protein-Protein Interaction analysis to gain insights into their functions.

Results: We identified 10 common marker genes associated with SLE (IFI6, IFI27, IFI44L, OAS1, OAS2, EIF2AK2, PLSCR1, STAT1, RNASE2, and GSTO1). Significant up-regulation of IFI6, IFI27, and IFI44L with SLE was observed in all the studied sample types, though the FC was most striking in monocyte, compared with PBMC and whole blood (8.82-251.66 vs. 3.73-74.05 vs. 1.19-1.87). Eight of the above 10 genes, except RNASE2 and GSTO1, interact with each other and with known SLE susceptibility genes, participate in immune response, RNA and protein catabolism, and cell death.

Conclusion: Our data suggest that there exist common marker genes across various sample types for SLE. The 10 common marker genes, identified herein, deserve follow-up studies to dissert their potentials as diagnostic or therapeutic markers to predict SLE or treatment response.

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References
1.
Tang J, Gu Y, Zhang M, Ye S, Chen X, Guo Q . Increased expression of the type I interferon-inducible gene, lymphocyte antigen 6 complex locus E, in peripheral blood cells is predictive of lupus activity in a large cohort of Chinese lupus patients. Lupus. 2008; 17(9):805-13. DOI: 10.1177/0961203308089694. View

2.
Feng X, Huang J, Liu Y, Xiao L, Wang D, Hua B . Identification of interferon-inducible genes as diagnostic biomarker for systemic lupus erythematosus. Clin Rheumatol. 2014; 34(1):71-9. DOI: 10.1007/s10067-014-2799-4. View

3.
OHanlon T, Rider L, Gan L, Fannin R, Paules R, Umbach D . Gene expression profiles from discordant monozygotic twins suggest that molecular pathways are shared among multiple systemic autoimmune diseases. Arthritis Res Ther. 2011; 13(2):R69. PMC: 3132064. DOI: 10.1186/ar3330. View

4.
Bovin L, Rieneck K, Workman C, Nielsen H, Sorensen S, Skjodt H . Blood cell gene expression profiling in rheumatoid arthritis. Discriminative genes and effect of rheumatoid factor. Immunol Lett. 2004; 93(2-3):217-26. DOI: 10.1016/j.imlet.2004.03.018. View

5.
Yang W, Tang H, Zhang Y, Tang X, Zhang J, Sun L . Meta-analysis followed by replication identifies loci in or near CDKN1B, TET3, CD80, DRAM1, and ARID5B as associated with systemic lupus erythematosus in Asians. Am J Hum Genet. 2013; 92(1):41-51. PMC: 3542470. DOI: 10.1016/j.ajhg.2012.11.018. View