Epstein-Barr Virus-Induced Genes and Endogenous Retroviruses in Immortalized B Cells from Patients with Multiple Sclerosis

Cells. 2022 Nov 15;11(22):3619. doi: 10.3390/cells11223619.

Abstract

The immune pathogenesis of multiple sclerosis (MS) is thought to be triggered by environmental factors in individuals with an unfavorable genetic predisposition. Epstein-Barr virus (EBV) infection is a major risk factor for subsequent development of MS. Human endogenous retroviruses (HERVs) can be activated by EBV, and might be a missing link between an initial EBV infection and the later onset of MS. In this study, we investigated differential gene expression patterns in EBV-immortalized lymphoblastoid B cell lines (LCL) from MS-affected individuals (MSLCL) and controls by using RNAseq and qRT-PCR. RNAseq data from LCL mapped to the human genome and a virtual virus metagenome were used to identify possible biomarkers for MS or disease-relevant risk factors, e.g., the relapse rate. We observed that lytic EBNA-1 transcripts seemed to be negatively correlated with age leading to an increased expression in LCL from younger PBMC donors. Further, HERV-K (HML-2) GAG was increased upon EBV-triggered immortalization. Besides the well-known transactivation of HERV-K18, our results suggest that another six HERV loci are up-regulated upon stimulation with EBV. We identified differentially expressed genes in MSLCL, e.g., several HERV-K loci, ERVMER61-1 and ERV3-1, as well as genes associated with relapses. In summary, EBV induces genes and HERV in LCL that might be suitable as biomarkers for MS or the relapse risk.

Keywords: Epstein-Barr virus; biomarkers; human endogenous retrovirus; lymphoblastoid cell lines; multiple sclerosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Endogenous Retroviruses* / genetics
  • Epstein-Barr Virus Infections*
  • Herpesvirus 4, Human
  • Humans
  • Leukocytes, Mononuclear / metabolism
  • Multiple Sclerosis* / genetics
  • Recurrence

Grants and funding

The work was supported by grant ZS/2018/12/96228 (to the University of Halle) from the European Regional Development Fund under the local program “Sachsen-Anhalt WISSENSCHAFT Schwerpunkte”.