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. 2020 Jul 6;22:167. doi: 10.1186/s13075-020-02252-6

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — a Detection rates of IgG antibodies to citrullinated and uncitrullinated forms of 390 distinct proteins in patients diagnosed with rheumatoid arthritis (RA patients) (n = 309) out of an early arthritis cohort (n = 411). Each dot represents the percentage of patients with an increased IgG detection towards a distinct citrullinated or uncitrullinated protein. Regression line with 95% confidence interval depicted (Spearman’s r = 0.13, p = 0.01). b Venn diagram representing the number of patients with increased antibody reactivity in rheumatoid arthritis (RA) patients and control patients (non-RA patients) classified as RA by three distinct autoantibodies against citrullinated peptides (ACPA), citrullinated “transformer 2 beta homolog” (cTRA2B), and rheumatoid factor (RF) as well as the respective overlaps. c Proportion of patients who were subsequently diagnosed with RA or not according to a diagnostic score of ≥ 2 (n = 140) or below (n = 271) based on adjusted odds ratios of multivariable generalized linear modeling (ACPA 3 points, RF and cTRA2B 1 point each)