| Literature DB >> 31572358 |
Rochelle D Vergroesen1, Linda M Slot1, Barbera D C van Schaik2, Marvyn T Koning3, Theo Rispens4, Antoine H C van Kampen2,5, René E M Toes1, Hans U Scherer1.
Abstract
Many autoimmune diseases are hallmarked by autoreactive B and plasma cell responses that are directly or indirectly involved in disease pathogenesis. These B-cell responses show large variability between diseases, both in terms of the secreted autoantibody repertoire and the dynamics and characteristics of the underlying B-cell responses. Hence, different mechanisms have been proposed to explain the emergence of autoreactive B cells in an otherwise self-tolerant immune system. Notably, most mechanistic insights have been obtained from murine studies using models harboring genetic modifications of B and T cells. Given recent technological advances that have rendered autoreactive human B cells accessible for analysis, we here discuss the phenomenon of extensive N-glycosylation of the B-cell receptor (BCR) variable domain of a prototypic human autoreactive B-cell response and its potential role in the generation of autoimmunity. Anti-citrullinated protein antibodies (ACPA) hallmark the most disease-specific autoimmune response in Rheumatoid Arthritis (RA). Remarkably, ACPA-IgG are heavily N-glycosylated in the variable domain due to somatic mutations that generate abundant N-glycosylation consensus sequences. These sites, obtained from full-length BCR sequences of ACPA-expressing B cells from 12 ACPA-positive RA patients, were here analyzed in detail. Sites that required a single nucleotide mutation to be generated were defined as single somatic hypermutation (s-SHM) sites, whereas sites requiring multiple mutations were defined as m-SHM sites. IgG sequences of 12 healthy donors were used as control. Computational modeling of the germinal center reaction (CLONE algorithm) was used with the germline counterparts of ACPA-IgG heavy chain (HC) sequences to simulate the germinal center response. Our analyses revealed an abundance of N-glycosylation sites in ACPA-IgG HC that frequently required multiple mutations and predominated in specific positions. Based on these data, and taking into account recent insights into the dynamics of the ACPA-response during disease development, we here discuss the hypothesis that N-glycosylation sites in ACPA-IgG variable domains could lead to alternative, possibly antibody affinity-independent selection forces. Presumably, this occurs during germinal center responses allowing these B cells to escape from putative tolerance checkpoints, thereby driving autoreactive B cell development in the pathogenesis of RA.Entities:
Keywords: B cells; anti-citrullinated protein antibodies; germinal center; glycosylation; rheumatoid arthritis; variable domain (Fab)
Year: 2019 PMID: 31572358 PMCID: PMC6749139 DOI: 10.3389/fimmu.2019.02092
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Frequency of N-glycosylation sites in the immunoglobulin heavy chain variable domain. (A) Percentage of ACPA- and healthy donor-derived IgG heavy chain clones containing zero, one, or more N-glycosylation sites in their BCR. Unique productive ACPA-derived clones were obtained using pool-sequencing (black bar) and single cell-sequencing (gray bar) and compared to unique productive pool-sequenced HD-IGG (red bar). (B) Frequency of nucleotide mutations in all sequences derived from the CLONE-algorithm with germline-reverted ACPA-IGG sequences as input data. (C) Percentage of all CLONE algorithm-derived clones containing zero, one, or more N-glycosylation sites. (D,E) Subset analysis exclusively on CLONE-algorithm derived productive sequences, without stop codons in IGHV, as analyzed in (B,C).
Figure 2Frequency and distribution of m-SHM and s-SHM sites. Pool- (black bar) or single cell-sequenced (gray bar) ACPA clones and HD-IGG (red bar) clones were analyzed for the presence of N-glycosylation sites that require single or multiple somatic hypermutations (s-SHM or m-SHM). (A) Percentage of N-glycosylation sites that require single or multiple somatic hypermutations. (B) Distribution of m-SHM sites across the HC variable region. (C) Distribution of s-SHM sites across the HC variable region.
Figure 3In depth analysis of amino acid “X” in N-glycosylation sites. Pool- (black bar) and single cell-sequenced (gray bar) ACPA clones were analyzed for the properties of amino acid “X” in the consensus sequence N-X-S/T. (A) Frequency of all amino acids used at position “X” in N-glycosylation sites. (B) Analysis of the hydrophobicity of the amino acids on position “X” and of their non-polar (aliphatic), aromatic, polar (non-charged), positively-, and negatively-charged characteristics. (C) Amino acids left (AAL, closed bar) and right (AAR, open bar) flanking N-glycosylation sites ordered by hydrophobicity and by their non-polar (aliphatic), aromatic, polar (non-charged), positively-, and negatively-charged characteristics.