OBJECTIVE: Anti-citrullinated protein antibodies (ACPAs) are highly specific to rheumatoid arthritis (RA), and strong associations between HLA-DRB1 alleles and ACPA levels have been detected in RA patients. We undertook this study to elucidate the associations between particular amino acid positions in HLA-DRB1 and ACPA levels in patients with RA. METHODS: We analyzed ACPA data on a total of 4,371 Japanese ACPA-positive RA patients in whom HLA-DRB1 allele genotyping had been performed. Generalized linear regression analysis and omnibus testing were carried out to determine associations of HLA-DRB1 alleles, amino acid residues, or amino acid positions with levels of ACPA. RESULTS: HLA-DRB1*09:01 and HLA-DR15 were confirmed to be associated with ACPA levels. HLA-DRB1*08:03 and DRB1*14:06 were associated with reduced and increased ACPA levels, respectively. We detected a strong association between ACPA levels and amino acid position 74 (P = 1.9 × 10(-51) ). The association was mainly conferred by alanine residue (P = 4.5 × 10(-51) ). After adjustment for position 74, amino acid positions 60 and 57 were found to be associated with ACPA levels. Amino acid positions 74 and 57 had previously been reported to be associated with susceptibility to ACPA-positive RA in Asians. Combinations of the amino acid residues at position 74 and position 60 or 57 could induce improvement in Akaike's information criterion comparable to that induced by the 5 significant HLA-DRB1 alleles (HLA-DRB1*08:03, DRB1*09:01, DRB1*14:06, DRB1*15:01, and DRB1*15:02). CONCLUSION: Amino acid position 74 in HLA-DRB1 is strongly associated with ACPA levels in ACPA-positive RA, as well as with RA susceptibility. The mechanisms of ACPA production and susceptibility to ACPA-positive RA seem to partly overlap.
OBJECTIVE: Anti-citrullinated protein antibodies (ACPAs) are highly specific to rheumatoid arthritis (RA), and strong associations between HLA-DRB1 alleles and ACPA levels have been detected in RApatients. We undertook this study to elucidate the associations between particular amino acid positions in HLA-DRB1 and ACPA levels in patients with RA. METHODS: We analyzed ACPA data on a total of 4,371 Japanese ACPA-positive RApatients in whom HLA-DRB1 allele genotyping had been performed. Generalized linear regression analysis and omnibus testing were carried out to determine associations of HLA-DRB1 alleles, amino acid residues, or amino acid positions with levels of ACPA. RESULTS:HLA-DRB1*09:01 and HLA-DR15 were confirmed to be associated with ACPA levels. HLA-DRB1*08:03 and DRB1*14:06 were associated with reduced and increased ACPA levels, respectively. We detected a strong association between ACPA levels and amino acid position 74 (P = 1.9 × 10(-51) ). The association was mainly conferred by alanine residue (P = 4.5 × 10(-51) ). After adjustment for position 74, amino acid positions 60 and 57 were found to be associated with ACPA levels. Amino acid positions 74 and 57 had previously been reported to be associated with susceptibility to ACPA-positive RA in Asians. Combinations of the amino acid residues at position 74 and position 60 or 57 could induce improvement in Akaike's information criterion comparable to that induced by the 5 significant HLA-DRB1 alleles (HLA-DRB1*08:03, DRB1*09:01, DRB1*14:06, DRB1*15:01, and DRB1*15:02). CONCLUSION: Amino acid position 74 in HLA-DRB1 is strongly associated with ACPA levels in ACPA-positive RA, as well as with RA susceptibility. The mechanisms of ACPA production and susceptibility to ACPA-positive RA seem to partly overlap.
Authors: Emily K Wu; Robert D Ambrosini; R Matthew Kottmann; Christopher T Ritchlin; Edward M Schwarz; Homaira Rahimi Journal: Curr Rheumatol Rev Date: 2019
Authors: Chikashi Terao; Boel Brynedal; Zuomei Chen; Xia Jiang; Helga Westerlind; Monika Hansson; Per-Johan Jakobsson; Karin Lundberg; Karl Skriner; Guy Serre; Johan Rönnelid; Linda Mathsson-Alm; Mikael Brink; Solbritt Rantapää Dahlqvist; Leonid Padyukov; Peter K Gregersen; Anne Barton; Lars Alfredsson; Lars Klareskog; Soumya Raychaudhuri Journal: Am J Hum Genet Date: 2019-08-29 Impact factor: 11.025
Authors: Amarshi Mukherjee; Vanessa Jantsch; Rida Khan; Wolfgang Hartung; René Fischer; Jonathan Jantsch; Boris Ehrenstein; Maximilian F Konig; Felipe Andrade Journal: Front Immunol Date: 2018-10-16 Impact factor: 7.561