Antigen-specific Fab profiling achieves molecular-resolution analysis of human autoantibody repertoires in rheumatoid arthritis.
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ABSTRACT:
SUBMITTER: Stork EM
PROVIDER: S-EPMC11006680 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature
Publications
Antigen-specific Fab profiling achieves molecular-resolution analysis of human autoantibody repertoires in rheumatoid arthritis.
Stork Eva Maria EM van Rijswijck Danique M H DMH van Schie Karin A KA Hoek Max M Kissel Theresa T Scherer Hans Ulrich HU Huizinga Tom W J TWJ Heck Albert J R AJR Toes Rene E M REM Bondt Albert A
Nature communications 20240410 1
The presence of autoantibodies is a defining feature of many autoimmune diseases. The number of unique autoantibody clones is conceivably limited by immune tolerance mechanisms, but unknown due to limitations of the currently applied technologies. Here, we introduce an autoantigen-specific liquid chromatography-mass spectrometry-based IgG1 Fab profiling approach using the anti-citrullinated protein antibody (ACPA) repertoire in rheumatoid arthritis (RA) as an example. We show that each patient h ...[more]
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Project description:The presence of autoantibodies is a defining feature of many autoimmune diseases. The number of unique autoantibody clones is conceivably limited by immune tolerance mechanisms, but unknown due to limitations of the currently applied technologies. Here, we introduce an autoantigen-specific liquid chromatography-mass spectrometry-based IgG1 Fab profiling approach using the anti-citrullinated protein antibody (ACPA) repertoire in rheumatoid arthritis (RA) as an example. We show that each patient harbors a unique and diverse ACPA IgG1 repertoire dominated by only a few antibody clones. In contrast to the total plasma IgG1 antibody repertoire, the ACPA IgG1 sub-repertoire is characterized by an expansion of antibodies that harbor one, two or even more Fab glycans, and different glycovariants of the same clone can be detected. Together, our data indicate that the autoantibody response in a prominent human autoimmune disease is complex, unique to each patient and dominated by a relatively low number of clones.
2023-10-26 | MSV000093196 | MassIVE
Project description:Patients with rheumatoid arthritis (RA) can test either positive or negative for circulating anti-citrullinated protein antibodies (ACPA) and are thereby categorized as ACPA-positive (ACPA+) or ACPA-negative (ACPA-), respectively. In this study, we aimed to elucidate a broader range of serological autoantibodies that could further explain immunological differences between patients with ACPA+ RA and ACPA- RA. On serum collected from adult patients with ACPA+ RA (n = 32), ACPA- RA (n = 30), and matched healthy controls (n = 30), we used a highly multiplex autoantibody profiling assay to screen for over 1600 IgG autoantibodies that target full-length, correctly folded, native human proteins. We identified differences in serum autoantibodies between patients with ACPA+ RA and ACPA- RA compared with healthy controls. Specifically, we found 22 and 19 autoantibodies with significantly higher abundances in ACPA+ RA patients and ACPA- RA patients, respectively. Among these two sets of autoantibodies, only one autoantibody (anti-GTF2A2) was common in both comparisons; this provides further evidence of immunological differences between these two RA subgroups despite sharing similar symptoms. On the other hand, we identified 30 and 25 autoantibodies with lower abundances in ACPA+ RA and ACPA- RA, respectively, of which 8 autoantibodies were common in both comparisons; we report for the first time that the depletion of certain autoantibodies may be linked to this autoimmune disease. Functional enrichment analysis of the protein antigens targeted by these autoantibodies showed an over-representation of a range of essential biological processes, including programmed cell death, metabolism, and signal transduction. Lastly, we found that autoantibodies correlate with Clinical Disease Activity Index, but associate differently depending on patients' ACPA status. In all, we present candidate autoantibody biomarker signatures associated with ACPA status and disease activity in RA, providing a promising avenue for patient stratification and diagnostics.
| S-EPMC10066987 | biostudies-literature
Project description:ObjectiveAnti-citrullinated protein antibodies (ACPA) have been detected in sputum and saliva, indicating that anti-modified protein antibodies (AMPA) can be produced at mucosal sites in patients with rheumatoid arthritis (RA). However, the body's largest mucosal compartment, the gut, has not yet been examined. We therefore investigated the presence of several AMPA (ACPA, anti-carbamylated protein antibodies [anti-CarP], and anti-acetylated protein antibodies [AAPA]) at different mucosal sites, including the intestinal tract.MethodsPaired fecal/ileal wash, saliva, and serum samples of patients with RA and healthy volunteers were collected in two independent cohorts. Data involving feces were replicated in a third cohort. In these secretions, AMPA were analyzed using in-house enzyme-linked immunosorbent assay with unmodified peptides as control. In fecal samples, total IgA and anti-Escherichia coli IgA were measured.ResultsACPA, anti-CarP, and AAPA IgA were measurable in saliva of seropositive patients with RA (prevalence 9%-40%). No AMPA could be detected in feces. IgA was present because total IgA and anti-E. coli IgA were detectable in feces of ACPA-positive patients with RA and healthy donors. Results were confirmed in another cohort using colonoscopically collected ileal wash samples.ConclusionOur study shows the presence of ACPA, anti-CarP, and AAPA IgA in saliva of ACPA-seropositive patients with RA. However, no AMPA could be detected in feces/ileal wash samples of these patients, although our assays were able to measure other antigen-specific antibodies. These data suggest that mucosal autoantibody secretion may occur in the oral mucosa of patients with RA, whereas no evidence could be found for this process in the lower gastrointestinal tract.
| S-EPMC11865693 | biostudies-literature
Project description:BackgroundWe sought to identify immunoglobin G autoantibodies predictive of early treatment response to methotrexate, the recommended first-line therapy for patients with newly diagnosed rheumatoid arthritis, and to the interleukin-6 receptor inhibitor biologic tocilizumab, initiated as the first disease-modifying anti-rheumatic drug.Materials and methodsIn baseline sera of a subset of patients with newly diagnosed rheumatoid arthritis in the U-Act-Early study, selected based on specific responder/non-responder criteria using the Disease Activity Score assessing 28 joints (DAS28) within the first 20 weeks, we measured immunoglobin G antibody reactivity against 463 protein antigens and performed supervised cluster analysis to identify predictive autoantibodies for treatment response. The analysis subset comprised 56 patients in the methotrexate arm (22 responders, 34 non-responders) and 50 patients in the tocilizumab arm (34 responders, 16 non-responders). For comparison, these analyses were also performed in 50 age- and gender-matched healthy controls.ResultsIncreased reactivity in responders versus non-responders was found in the methotrexate arm against two antigens-DOT1-like histone lysine methyltransferase (p = 0.009) and tropomyosin (p = 0.003)-and in the tocilizumab arm against one antigen-neuro-oncological ventral antigen 2 (p = 0.039). Decreased reactivity was detected against two antigens in the methotrexate arm-G1 to S phase transition 2 (p = 0.023) and the zinc finger protein ZPR1 (p = 0.021). Reactivity against the identified antigens was not statistically significant in either treatment arm for patients with rheumatoid factor-positive versus-negative or anti-cyclic citrullinated test-positive versus test-negative rheumatoid arthritis (p ≥ 0.06).ConclusionsComprehensive profiling of baseline sera revealed several novel immunoglobin G autoantibodies associated with early treatment response to methotrexate and to tocilizumab in disease-modifying anti-rheumatic drug-naive patients with rheumatoid arthritis. These findings could eventually yield clinically relevant predictive markers, if corroborated in different patient cohorts, and may facilitate future benefit in personalised healthcare.
| S-EPMC7728181 | biostudies-literature
Project description:Rheumatoid arthritis is a prototypical autoimmune arthritis affecting nearly 1% of the world population and is a significant cause of worldwide disability. Though prior studies have demonstrated the appearance of RA-related autoantibodies years before the onset of clinical RA, the pattern of immunologic events preceding the development of RA remains unclear. To characterize the evolution of the autoantibody response in the preclinical phase of RA, we used a novel multiplex autoantigen array to evaluate development of the anti-citrullinated protein antibodies (ACPA) and to determine if epitope spread correlates with rise in serum cytokines and imminent onset of clinical RA. To do so, we utilized a cohort of 81 patients with clinical RA for whom stored serum was available from 1-12 years prior to disease onset. We evaluated the accumulation of ACPA subtypes over time and correlated this accumulation with elevations in serum cytokines. We then used logistic regression to identify a profile of biomarkers which predicts the imminent onset of clinical RA (defined as within 2 years of testing). We observed a time-dependent expansion of ACPA specificity with the number of ACPA subtypes. At the earliest timepoints, we found autoantibodies targeting several innate immune ligands including citrullinated histones, fibrinogen, and biglycan, thus providing insights into the earliest autoantigen targets and potential mechanisms underlying the onset and development of autoimmunity in RA. Additionally, expansion of the ACPA response strongly predicted elevations in many inflammatory cytokines including TNF-α, IL-6, IL-12p70, and IFN-γ. Thus, we observe that the preclinical phase of RA is characterized by an accumulation of multiple autoantibody specificities reflecting the process of epitope spread. Epitope expansion is closely correlated with the appearance of preclinical inflammation, and we identify a biomarker profile including autoantibodies and cytokines which predicts the imminent onset of clinical arthritis.
2011-09-10 | GSE32016 | GEO
Project description:Rheumatoid arthritis is a prototypical autoimmune arthritis affecting nearly 1% of the world population and is a significant cause of worldwide disability. Though prior studies have demonstrated the appearance of RA-related autoantibodies years before the onset of clinical RA, the pattern of immunologic events preceding the development of RA remains unclear. To characterize the evolution of the autoantibody response in the preclinical phase of RA, we used a novel multiplex autoantigen array to evaluate development of the anti-citrullinated protein antibodies (ACPA) and to determine if epitope spread correlates with rise in serum cytokines and imminent onset of clinical RA. To do so, we utilized a cohort of 81 patients with clinical RA for whom stored serum was available from 1-12 years prior to disease onset. We evaluated the accumulation of ACPA subtypes over time and correlated this accumulation with elevations in serum cytokines. We then used logistic regression to identify a profile of biomarkers which predicts the imminent onset of clinical RA (defined as within 2 years of testing). We observed a time-dependent expansion of ACPA specificity with the number of ACPA subtypes. At the earliest timepoints, we found autoantibodies targeting several innate immune ligands including citrullinated histones, fibrinogen, and biglycan, thus providing insights into the earliest autoantigen targets and potential mechanisms underlying the onset and development of autoimmunity in RA. Additionally, expansion of the ACPA response strongly predicted elevations in many inflammatory cytokines including TNF-α, IL-6, IL-12p70, and IFN-γ. Thus, we observe that the preclinical phase of RA is characterized by an accumulation of multiple autoantibody specificities reflecting the process of epitope spread. Epitope expansion is closely correlated with the appearance of preclinical inflammation, and we identify a biomarker profile including autoantibodies and cytokines which predicts the imminent onset of clinical arthritis. A total of 559 human sera were profiled using a custom made panel of putative rheumatoid arthritis associated autoantigens. The cohort was comprised of 79 patients with clinical RA for whom stored serum was available from 1-10 years prior to disease onset and 80 control subjects without RA that were matched to cases based on age, gender, race, region of assignment, and time of serum sampling.
2011-09-09 | E-GEOD-32016 | biostudies-arrayexpress
Project description:For the identification of antigenic protein biomarkers for rheumatoid arthritis (RA), we conducted IgG profiling on high density protein microarrays. Plasma IgG of 96 human samples (healthy controls, osteoarthritis, seropositive and seronegative RA, n = 24 each) and time-series plasma of a pristane-induced arthritis (PIA) rat model (n = 24 total) were probed on AIT's 16k protein microarray. To investigate the analogy of underlying disease pathways, differential reactivity analysis was conducted. A total of n = 602 differentially reactive antigens (DIRAGs) at a significance cutoff of p < 0.05 were identified between seropositive and seronegative RA for the human samples. Correlation with the clinical disease activity index revealed an inverse correlation of antibodies against self-proteins found in pathways relevant for antigen presentation and immune regulation. The PIA model showed n = 1291 significant DIRAGs within acute disease. Significant DIRAGs for (I) seropositive, (II) seronegative and (III) PIA were subjected to the Reactome pathway browser which also revealed pathways relevant for antigen presentation and immune regulation; of these, seven overlapping pathways had high significance. We therefore conclude that the PIA model reflects the biological similarities of the disease pathogenesis. Our data show that protein array analysis can elucidate biological differences and pathways relevant in disease as well be a useful additional layer of omics information.
| S-EPMC8876797 | biostudies-literature
Project description:A hallmark of rheumatoid arthritis (RA) is the production of autoantibodies, including anti-citrullinated protein antibodies (ACPAs). Nevertheless, the specific targets of these autoantibodies remain incompletely defined. During an immune response, B cells specific for the inciting antigen(s) are activated and differentiate into plasmablasts, which are released into the blood. We undertook this study to sequence the plasmablast antibody repertoire to define the targets of the active immune response in RA.We developed a novel DNA barcoding method to sequence the cognate heavy- and light-chain pairs of antibodies expressed by individual blood plasmablasts in RA. The method uses a universal 5' adapter that enables full-length sequencing of the antibodies' variable regions and recombinant expression of the paired antibody chains. The sequence data sets were bioinformatically analyzed to generate phylogenetic trees that identify clonal families of antibodies sharing heavy- and light-chain VJ sequences. Representative antibodies were expressed, and their binding properties were characterized using anti-cyclic citrullinated peptide 2 (anti-CCP-2) enzyme-linked immunosorbent assay (ELISA) and antigen microarrays.We used our sequencing method to generate phylogenetic trees representing the antibody repertoires of peripheral blood plasmablasts from 4 individuals with anti-CCP+ RA, and recombinantly expressed 14 antibodies that were either "singleton" antibodies or representative of clonal antibody families. Anti-CCP-2 ELISA identified 4 ACPAs, and antigen microarray analysis identified ACPAs that differentially targeted epitopes on ?-enolase, citrullinated fibrinogen, and citrullinated histone H2B.Our data provide evidence that autoantibodies targeting ?-enolase, citrullinated fibrinogen, and citrullinated histone H2B are produced by the ongoing activated B cell response in, and thus may contribute to the pathogenesis of, RA.
| S-EPMC4560105 | biostudies-other
Project description:Rheumatoid arthritis (RA) is a systemic chronic autoimmune inflammatory disease that is characterized by the destruction of bone and production of autoantibodies such as rheumatoid factor (RF) and anticitrullinated protein antibodies (ACPAs). The high prevalence of this disease and the need of affordable tools for its early detection led us to prepare the first electrochemical immunoplatform for the simultaneous determination of four RA biomarkers, the autoantibodies: RF, anti-peptidyl-arginine deiminase enzyme (anti-PAD4), anti-cyclic citrullinated peptide (anti-CCP), and anti-citrullinated vimentin (anti-MCV). Functionalized magnetic beads (MBs) were used to immobilize the specific antigens, and sandwich-type immunoassays were implemented for the amperometric detection of the four autoantibodies, using the horseradish peroxidase (HRP)/H2O2/hydroquinone (HQ) system. The immunoplatform was applied to the determination of the biomarkers in human serum of twenty-two patients diagnosed with RA and four healthy individuals, and the results were validated against ELISA tests and the certified values.
| S-EPMC10046368 | biostudies-literature
Project description:ObjectivesTo evaluate the 1-year cost-effectiveness between three different initial treatment strategies in autoantibody-negative RA patients, according to 2010 criteria.MethodsFor this analysis we selected all RA patients within the intermediate probability stratum of the treatment in the Rotterdam Early Arthritis Cohort (tREACH) trial. The tREACH had a treat-to-target approach, aiming for low DAS <2.4, and treatment adjustments could occur every 3 months. Initial treatment strategies consisted of MTX 25 mg/week (initial MTX, iMTX), iHCQ 400 mg/day or an oral glucocorticoids tapering scheme without DMARDs (iGCs). Data on quality-adjusted life-years, measured with the European Quality of Life 5-Dimensions 3 Levels (EQ-5D-3L), healthcare and productivity costs were used.ResultsAverage quality-adjusted life-years (s.d.), for iMTX, iHCQ and iGCs were respectively 0.71 (0.14), 0.73 (0.14) and 0.71 (0.15). The average total costs (s.d.) for iMTX, iHCQ and iGCs were, respectively, €10 832 (14.763), €11 208 (12.801) and €10 502 (11.973). Healthcare costs were mainly determined by biological costs, which were significantly lower in the iHCQ group compared with iGCs (P < 0.05). However, costs due to presenteeism were the highest in the iHCQ group (55%) followed by iMTX (27%) and iGCs (18%). The incremental cost-effectiveness ratios did not differ between treatment strategies. At a willingness-to-pay level of €50 000, the Dutch threshold for reimbursement of medical care, iHCQ had the highest probability (38.7%) of being cost-effective, followed by iGCs (31.1%) and iMTX (30.2%).ConclusioniHCQ had the lowest healthcare and highest productivity costs, resulting in a non-significant incremental cost-effectiveness ratio. However, iHCQ had the highest chance of being cost-effective at the Dutch willingness-to-pay threshold for healthcare reimbursement. Therefore, we believe that iHCQ is a good alternative to iMTX in autoantibody-negative RA patients, but validation is needed.Clinical trial registration numberISRCTN26791028.
| S-EPMC8645278 | biostudies-literature