Genetics of immune response to Epstein-Barr virus: prospects for multiple sclerosis pathogenesis.

DRB1 EBNA1 EBV GWAS HLA

Journal

Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537

Informations de publication

Date de publication:
17 Apr 2024
Historique:
received: 07 10 2023
revised: 20 02 2024
accepted: 03 03 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 17 4 2024
Statut: aheadofprint

Résumé

Epstein-Barr virus (EBV) infection has been advocated as a prerequisite for developing multiple sclerosis (MS) and possibly the propagation of the disease. However, the precise mechanisms for such influences are still unclear. A large-scale study investigating the host genetics of EBV serology and related clinical manifestations, such as infectious mononucleosis (IM), may help us better understand the role of EBV in MS pathogenesis. This study evaluates the host genetic factors that influence serological response against EBV and history of IM and cross-evaluates them with MS risk and genetic susceptibility in the Swedish population. Plasma IgG antibody levels against EBV nuclear antigen-1 (EBNA-1, truncated=aa[325-641], peptide=aa[385-420]) and viral capsid antigen p18 (VCAp18) were measured using bead-based multiplex serology for 8744 MS cases and 7229 population-matched controls. The MS risk association for high/low EBV antibody levels and history of IM was compared to relevant clinical measures along with sex, age at sampling, and associated HLA allele variants. Genome-wide and HLA allele association analyses were also performed to identify genetic risk factors for EBV antibody response and IM history. Higher antibody levels against VCAp18 (OR=1.74, 95% CI=1.60-1.88) and EBNA-1, particularly the peptide (OR=3.13, 95% CI=2.93-3.35), were associated with an increased risk for MS. The risk increased with higher anti-EBNA-1 IgG levels up to twelve times the reference risk. We also identified several independent HLA haplotypes associated with EBV serology overlapping with known MS risk alleles (e.g., DRB1*15:01). Although there were several candidates, no variants outside the HLA region reached genome-wide significance. Cumulative HLA risk for anti-EBNA-1 IgG levels, particularly the peptide fragment, was strongly associated with MS. In contrast, the genetic risk for high anti-VCAp18 IgG levels was not as strongly associated with MS risk. IM history was not associated with class II HLA genes but negatively associated with A*02:01, which is protective against MS. Our findings emphasize that the risk association between anti-EBNA-1 IgG levels and MS may be partly due to overlapping HLA associations. Additionally, the increasing MS risk with increasing anti-EBNA-1 levels would be consistent with a pathogenic role of the EBNA-1 immune response, perhaps through molecular mimicry. Given that high anti-EBNA-1 antibodies may reflect a poorly controlled T-cell defense against the virus, our findings would be consistent with DRB1*15:01 being a poor class II antigen in the immune defense against EBV. Lastly, the difference in genetic control of IM supports the independent roles of EBNA-1 and IM in MS susceptibility.

Identifiants

pubmed: 38630618
pii: 7648816
doi: 10.1093/brain/awae110
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.

Auteurs

Jesse Huang (J)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Katarina Tengvall (K)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.
Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE 751 23 Uppsala, Sweden.

Izaura Bomfim Lima (I)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Anna Karin Hedström (AK)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Julia Butt (J)

Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), DE-69120 Heidelberg, Germany.

Nicole Brenner (N)

Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), DE-69120 Heidelberg, Germany.

Alexandra Gyllenberg (A)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Pernilla Stridh (P)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Mohsen Khademi (M)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Ingemar Ernberg (I)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Faiez Al Nimer (F)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Ali Manouchehrinia (A)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Jan Hillert (J)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.

Lars Alfredsson (L)

Institute of Environmental Medicine, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centre for Occupational and Environmental Medicine, Stockholm County Council, SE-171 77 Stockholm, Sweden.

Oluf Andersen (O)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, SE-413 45 Gothenburgh, Sweden.

Peter Sundström (P)

Department of Clinical Science, Neurosciences, Umeå University, SE-901 85 Umeå, Sweden.

Tim Waterboer (T)

Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), DE-69120 Heidelberg, Germany.

Tomas Olsson (T)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Ingrid Kockum (I)

Department of Clinical Neuroscience, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Centrum for Molecular Medicine, Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Classifications MeSH