Added value of multiple autoantibody testing for predicting progression to inflammatory arthritis in at-risk individuals.

BACKGROUND: Predicting progression to clinical arthritis in individuals at-risk of developing rheumatoid arthritis is a prerequisite to developing stratification groups for prevention strategies. Selecting accurate predictive criteria is the critical step to define the population at-risk. While positivity for anti-citrullinated protein antibodies (ACPA) remains the main recruitment biomarker, positivity for other autoantibodies (AutoAbs) identified before the onset of symptoms, may provide additional predictive accuracy for stratification. OBJECTIVE: To perform a multiple AutoAbs analysis for both the prediction and the time of progression to inflammatory arthritis (IA). METHODS: 392 individuals were recruited based on a new musculoskeletal complaint and positivity for ACPA or rheumatoid factor (RF). ELISAs were performed for ACPA, RF, anti-nuclear Ab, anti-carbamylated protein (anti-CarP) and anti-collagen AutoAbs. Logistic and COX regression were used for analysis. RESULTS: Progression to IA was observed in 125/392 (32%) of cases, of which 78 progressed within 12 months. The AutoAbs ACPA, RF, anti-CarP were individually associated with progression (p<0.0001) and improved prediction when combined with demographic/clinical data (Accuracy >77%; area under the curve (AUC) >0.789), compared with prediction using only demographic/clinical data (72.9%, AUC=0.760). Multiple AutoAbs testing provided added value, with +6.4% accuracy for number of positive AutoAbs (AUC=0.852); +5.4% accuracy for AutoAbs levels (ACPA/anti-CarP, AUC=0.832); and +6.2% accuracy for risk-groups based on high/low levels (ACPA/RF/anti-CarP, AUC=0.837). Time to imminent progression was best predicted using ACPA/anti-CarP levels (AUC=0.779), while the number of positive AutoAbs was/status/risk were as good (AUC=0.778). CONCLUSION: We confirm added value of multiple AutoAbs testing for identifying progressors to clinical disease, allowing more specific stratification for intervention studies.

Third-Generation Anti-Cyclic Citrullinated Peptide Antibodies Improve Prediction of Clinical Arthritis in Individuals at Risk of Rheumatoid Arthritis.

OBJECTIVE: To 1) determine the prevalence of anti-cyclic citrullinated peptide 3 (anti-CCP3) antibodies in anti-CCP2 antibody-positive (anti-CCP2+) at-risk individuals, and 2) explore the additional value of anti-CCP3 antibodies in anti-CCP2+ at-risk individuals for predicting progression to inflammatory arthritis. METHODS: Stored serum samples obtained from 347 anti-CCP2+ (BioPlex 2200; Bio-Rad) at-risk individuals without clinical synovitis were tested for anti-CCP3 antibodies. Anti-CCP2 titers were categorized as low or high, and anti-CCP3 titers were categorized as negative, low, or strong. Progression to inflammatory arthritis was defined as the development of clinical synovitis in ≥1 joint. Only subjects with ≥1 follow-up visit were included in the progression analysis (n = 291). RESULTS: In the 347 samples included, anti-CCP3 antibody titers tended to be either negative (n = 138 [39.7%]) or strongly positive (n =189 [54.4%]), with very few subjects showing a low titer (n = 20 [5.7%]). In contrast, for anti-CCP2 antibodies, more low titers were observed (n = 103 [29.7%]). Eighty-eight of 291 subjects (30.2%) developed inflammatory arthritis. The rate of progression to inflammatory arthritis in the low-titer anti-CCP2 group and the high-titer anti-CCP2 group fell from 7.5% to 3.3% and from 38.9% to 9.8%, respectively, when anti-CCP3 was negative. Progression in the high-titer anti-CCP2 group increased from 38.9% to 48.4% when anti-CCP3 was strongly positive. The area under the curve was 0.72 for anti-CCP2 (95% confidence interval [95% CI] 0.66, 0.78) and 0.76 for anti-CCP3 (95% CI 0.70, 0.81) for assessment of progression. In the multivariable analysis, the odds ratio for the development of inflammatory arthritis in anti-CCP3+ subjects was 1.73 (95% CI 1.20, 2.51) (P < 0.01). CONCLUSION: Anti-CCP3 antibodies improve the prediction of inflammatory arthritis in anti-CCP2+ at-risk individuals. The impact of anti-CCP3 antibody status for the risk stratification of individuals with high-titer anti-CCP2 is particularly notable.

Dissection of the FCGR3A association with RA: increased association in men and with autoantibody positive disease.

OBJECTIVES: Genome-wide association studies in rheumatoid arthritis (RA) have failed to examine the FCGR gene cluster because of the confounding effects of segmental duplication. This study aimed to replicate previous candidate gene studies that had identified a significant association between the FCGR3A-158V allele and RA and then sought to estimate specific subgroup effects. METHODS: FCGR3A-158F/V genotyping was undertaken in a UK Caucasian replication cohort comprising 2049 patients with RA and 1156 controls. Subgroup analyses assessing the magnitude of association according to gender and autoantibody (rheumatoid factor (RF) and cyclic citrullinated peptide (CCP)) status were undertaken in a pooled cohort of 2963 patients with RA and 1731 controls. Logistic regression was used to test for interaction between FCGR3A and HLA-DRB1 shared epitope (SE) alleles. RESULTS: In the combined RA cohort, borderline association with homozygosity was found for the FCGR3A-158V allele (OR 1.2, p=0.05), which was stronger in men (OR 1.7, p=0.01). Stratification by autoantibody status showed an increased risk in RF and CCP positive RA. Analysis of the FCGR3A-158V and HLA-DRB1 SE interaction revealed roles for both genes in susceptibility to autoantibody positive RA, with no evidence of interaction. CONCLUSIONS: FCGR3A is a risk factor for the development of autoantibody positive RA, particularly in men, with evidence of a multiplicative effect with HLA-DRB1 SE.

Synovial fluid mesenchymal stem cells in health and early osteoarthritis: detection and functional evaluation at the single-cell level.

OBJECTIVE: Arthritic synovial fluid (SF) contains mesenchymal stem cells (MSCs), which could simply reflect their shedding from diseased joint structures. This study used the bovine model to explore SF MSCs in health and enumerated them at the earliest stages of human osteoarthritis (OA) in radiographically normal joints. METHODS: Clonogenicity and multipotentiality of normal bovine SF MSCs were compared with donor-matched bone marrow (BM) MSCs at the single-cell level. The colony-forming unit-fibroblastic assay was used for MSC enumeration. The XTT assay was employed to assess cell proliferation, and flow cytometry was used to investigate the marker phenotype of bovine and human SF MSCs. RESULTS: Single MSCs were present in normal bovine SF, and 96% of them were able to expand at least 1 million-fold. These cells were CD271-, multipotential, considerably more clonogenic, and less adipogenic than matched BM MSCs. In both pellet assays and on polyglycolic acid scaffolds, SF clones displayed consistent chondrogenic differentiation, while BM clones were variable. MSCs were present in arthroscopically normal human joints and were increased 7-fold in early OA (P = 0.034). Their numbers correlated with numbers of free microscopic synovial tissue fragments (r = 0.826, P < 0.0001). OA SF had a growth-promoting effect on synovial MSCs. CONCLUSION: This study confirms the presence of MSCs in normal SF and shows their numerical increase in early human OA. SF MSCs are likely to originate from synovium. These findings provide a platform for the exploration of the potential role of SF MSCs in joint homeostasis and for investigation of their utility in novel joint regeneration strategies.

Mesenchymal stem cell tissue engineering: techniques for isolation, expansion and application.

Mesenchymal stem cells (MSCs) are undifferentiated multipotent cells which reside in various human tissues and have the potential to differentiate into osteoblasts, chondrocytes, adipocytes, fibroblasts and other tissues of mesenchymal origin. In the human body they could be regarded as readily available reservoirs of reparative cells capable to mobilize, proliferate and differentiate to the appropriate cell type in response to certain signals. These properties have triggered a variety of MSC-based therapies for pathologies including nonunions, osteogenesis imperfecta, cartilage damage and myocardial infarction. The outcome of these approaches is influenced by the methodologies and materials used during the cycle from the isolation of MSCs to their re-implantation. This review article focuses on the pathways that are followed from the isolation of MSCs, expansion and implantation.