Antibodies against citrullinated proteins of IgA isotype are associated with progression to rheumatoid arthritis in individuals at-risk

Time sequence of autoimmune processes in the trajectory to rheumatoid arthritis development: what do we know?

The trajectory to RA development is a multi-step process that can take a decade. Understanding which processes occur at which moment during this trajectory is crucial when designing interventions to prevent disease development. Clinically, the period before RA onset can be divided into an asymptomatic and a symptomatic risk phase. Published visual representations of RA development often display the maturation of the autoimmune response occurring in the symptomatic risk phase or relatively short before RA development, but evidence underlying this notion is limited. To obtain more detailed insights into the time sequence of immune processes in the asymptomatic and symptomatic risk stages of RA development, we interpreted the current available literature against the level of evidence, as longitudinal studies with repeated measurements in patients are needed for a robust conclusion on temporal sequences. Regarding the development of ACPA-positive disease, maturation of the systemic autoimmune response seems to occur approximately 5-years before diagnosis, but the autoimmune response is stable during the symptomatic risk phase and progression to RA. Known genetic and environmental factors have a different effect in both risk phases. Less is known about the development of ACPA-negative RA, the symptomatic risk phase lasts longer than for ACPA-positive RA, but here too the maturation of the autoimmunity seems to take place mainly in the asymptomatic phase. Based on this, we have proposed a new picture of RA development. This knowledge can guide the choice of treatment targets in future trials aimed at preventing RA.

Dynamics of the gut microbiome in individuals at risk of rheumatoid arthritis: a cross-sectional and longitudinal observational study

OBJECTIVES

This work aimed to resolve the conflicting reports on Prevotellaceae abundance in the development of rheumatoid arthritis (RA) and to observe structural, functional and temporal changes in the gut microbiome in RA progressors versus non-progressors.

METHODS

Individuals at risk of RA were defined by the presence of anticyclic citrullinated protein (anti-CCP) antibodies and new musculoskeletal symptoms without clinical synovitis. Baseline sampling included 124 participants (30 progressed to RA), with longitudinal sampling of 19 participants (5 progressed to RA) over 15 months at five timepoints. Gut microbiome taxonomic alterations were investigated using 16S rRNA amplicon sequencing and confirmed with shotgun metagenomic DNA sequencing on 49 samples.

RESULTS

At baseline, CCP+ at risk progressors showed significant differences in Prevotellaceae abundance compared with non-progressors, contingent on intrinsic RA risk factors and time to progression. Longitudinal sampling revealed gut microbiome instability in progressors 10 months before RA onset, a phenomenon absent in non-progressors. This may indicate a late microbial shift before RA onset, with Prevotellaceae contributing but not dominating these changes. Structural changes in the gut microbiome during arthritis development were associated with increased amino acid metabolism.

CONCLUSION

These data suggest conflicting reports on Prevotellaceae overabundance are likely due to sampling within a heterogeneous population along a dynamic disease spectrum, with certain Prevotellaceae strains/clades possibly contributing to the establishment and/or progression of RA. Gut microbiome changes in RA may appear at the transition to clinical arthritis as a late manifestation, and it remains unclear whether they represent a primary or secondary phenomenon.

Identification of early risk factors for anti-citrullinated-protein-antibody positive rheumatoid arthritis-a prospective cohort study

OBJECTIVE

Individuals positive for anti-cyclic-peptide-antibodies (anti-CCP) and musculoskeletal complaints (MSK-C) are at risk for developing rheumatoid arthritis (RA). In this study we aimed to investigate factors involved in arthritis progression.

METHODS

Anti-CCP2-positive individuals with MSK-C referred to a rheumatologist were recruited. Individuals lacked arthritis at clinical and ultrasound examination and were followed for ≥3 years or until clinical arthritis diagnosis. Blood samples from inclusion were analysed for nine ACPA reactivities (citrullinated α-1-enolase, fibrinogen, filaggrin, histone, vimentin and tenascin peptides); 92 inflammation-associated proteins; and HLA-shared epitope alleles. Cox regression was applied to the data to identify independent predictors in a model.

RESULTS

Two hundred and sixty-seven individuals were included with median follow-up of 49 months (interquartile range [IQR]: 22-60); 101 (38%) developed arthritis after a median of 14 months (IQR: 6-27). The analysis identified that presence of at least one ACPA reactivity (hazard ratio [HR] 8.0; 95% CI: 2.9, 22), ultrasound-detected tenosynovitis (HR 3.4; 95% CI: 2.0, 6.0), IL-6 levels (HR 1.5; 95% CI: 1.2, 1.8) and IL-15 receptor α (IL-15Rα) levels (HR 0.6; 95% CI: 0.4, 0.9) are significant independent predictors for arthritis progression in a prediction model (Harrell's C 0.76 [s.e. 0.02], AUC 0.82 [95% CI: 0.76, 0.89], cross-validated AUC 0.70 [95% CI: 0.56, 0.85]).

CONCLUSION

We propose a high RA risk phase characterized by presence of ACPA reactivity, tenosynovitis, IL-6 and IL-15Rα and suggest that these factors need to be further investigated for their biological effects and clinical values, to identify individuals at particular low risk and high risk for arthritis progression.

The peculiar features, diversity and impact of citrulline-reactive autoantibodies

Since entering the stage 25 years ago as a highly specific serological biomarker for rheumatoid arthritis, anti-citrullinated protein antibodies (ACPAs) have been a topic of extensive research. This hallmark B cell response arises years before disease onset, displays interpatient autoantigen variability, and is associated with poor clinical outcomes. Technological and scientific advances have revealed broad clonal diversity and intriguing features including high levels of somatic hypermutation, variable-domain N-linked glycosylation, hapten-like peptide interactions, and clone-specific multireactivity to citrullinated, carbamylated and acetylated epitopes. ACPAs have been found in different isotypes and subclasses, in both circulation and tissue, and are secreted by both plasmablasts and long-lived plasma cells. Notably, although some disease-promoting features have been reported, results now demonstrate that certain monoclonal ACPAs therapeutically block arthritis and inflammation in mouse models. A wealth of functional studies using patient-derived polyclonal and monoclonal antibodies have provided evidence for pathogenic and protective effects of ACPAs in the context of arthritis. To understand the roles of ACPAs, one needs to consider their immunological properties by incorporating different facets such as rheumatoid arthritis B cell biology, environmental triggers and chronic antigen exposure. The emerging picture points to a complex role of citrulline-reactive autoantibodies, in which the diversity and dynamics of antibody clones could determine clinical progression and manifestations.

GlYcoLISA: antigen-specific and subclass-specific IgG Fc glycosylation analysis based on an immunosorbent assay with an LC-MS readout

Immunoglobulin G (IgG) fragment crystallizable (Fc) glycosylation modulates effector functions such as antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity. Consequently, assessing IgG Fc glycosylation is important for understanding the role of antibodies in infectious, alloimmune and autoimmune diseases. GlYcoLISA determines the Fc glycosylation of antigen-specific IgG by an immunosorbent assay with a liquid chromatography-mass spectrometry (LC-MS) readout. Detection of antigen-specific IgG glycosylation in a subclass- and site-specific manner is realized by LC-MS-based glycopeptide analysis after proteolytic cleavage. GlYcoLISA addresses challenges related to the low abundance of specific IgG and the high background of total IgG by using well-established immunosorbent assays for purifying antibodies of the desired specificity using immobilized antigen. Alternative methods with sufficient glycan resolution lack these important specificities. GlYcoLISA is performed in a 96-well plate format, and the analysis of 160 samples takes ~5 d, with 1 d for sample preparation, 2 d of LC-MS measurement and 2 d for partially automated data processing. GlYcoLISA requires expertise in LC-MS operation and data processing.