bioRxivGenomicsPreprint
Genetic evidence that the latency III stage of Epstein-Barr Virus infection is a therapeutic target for Multiple Sclerosis
Ali AfrasiabiiD, Grant Peter ParnelliD, Nicole FewingsiD, Stephen D. Schibeci, Monica A. Basuki, Ramya Chandramohan, David Alexander BrowniD, Sanjay SwaminathaniD, Fiona C. McKayiD, Graeme J. Stewart, David Richmond BoothiD
Abstract
Genome wide association studies have identified >200 susceptibility loci accounting for much of the heritability of Multiple Sclerosis (MS). Epstein Barr virus (EBV), a memory B cell tropic virus, has been identified as necessary but not sufficient for development of MS, with evidence for disease causation. The molecular and immunological basis for this has not been established. LCL proliferation is driven by signalling through the EBV produced cell surface protein LMP1, a homologue of the MS risk gene CD40. We show that the CD40 ligand, CD40L, potentially through competitive signalling with LMP1, reduces LCL proliferation (p<0.001). The MS risk variants of the LMP1 signalling inhibitor, TRAF3, had altered expression in B cells and LCLs. Both CD40 and TRAF3 risk SNPs are in binding sites for the EBV transcription factor EBNA2. We have investigated transcriptomes of B cells and EBV infected B cells at Latency III (LCLs) and identified 47 MS risk genes with altered expression, associated with the risk genotype. Overall these MS risk SNPs were overrepresented in target loci of the EBV transcription factor EBNA2 (p<10-16), in genes dysregulated between B and LCLs (p<10-5), and as targets for EBV miRNAs (p<10-4). The risk gene ZC3HAV1 is the putative target for multiple EBV miRNAs. It amplifies the interferon response, and was shown to have reduced expression in LCLs for the risk allele. These data indicate targeting EBV EBNA2, miRNAs, and MS risk genes on the LMP1/LMP2 pathways, and the pathways themselves, may be of therapeutic benefit in MS.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: GWAS / association mapping
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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