Identifying Epstein–Barr virus peptide sequences associated with differential IgG antibody response
Year: 2021
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Epstein-Barr virus (EBV) infection contributes to cancers in a fraction of seropositive individuals, but much remains to be learned about variation in EBV-directed humoral immunity in cancer-free adults. METHODS: A protein microarray was used to probe serum from 175 Taiwanese and 141 Northern European adults for immunoglobulin G (IgG) antibody responses to 115 different peptide sequences, representing protein segments or protein variants, from 45 EBV proteins. It was posited that this antibody-based approach could identify EBV peptide sequences representing immunodominant regions relevant for B-cell immunity. RESULTS: Analyses of 45 EBV proteins with multiple protein segments or variants printed on the array identified eight EBV peptide sequences that appear to play a role in immunogenicity. This included: (1) three proteins with segments/regions associated with IgG reactivity (BALF5, LMP1, LMP2A); and (2) five proteins with sequence variants/amino acid changes associated with IgG reactivity (BDLF4, EBNA3A, EBNA3B, EBNA-LP, LF1). CONCLUSION: This examination of IgG antibody responses against 115 EBV peptide sequences in 316 cancer-free adults represents an important step toward identifying specific EBV protein sequences that play a role in generating B-cell immunity in humans.
Institutions: Moffitt Cancer Center, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Genomics Research Center, Academia Sinica, MRC University of Glasgow Centre for Virus Research, Statens Serum Institut, Rigshospitalet, Australian Institute of Tropical Health and Medicine, James Cook University, National Taiwan University, National Taiwan University Hospital
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,750
Funder: National Cancer Institute
Award: G4534256652
OpenAlex ID: W3208806264
