| Literature DB >> 27537849 |
Ariana Montes1, Cristina Regueiro1, Eva Perez-Pampin1, Maria Dolores Boveda2, Juan J Gomez-Reino1,3, Antonio Gonzalez1.
Abstract
A large fraction of the patients with rheumatoid arthritis (RA) develop specific autoantibodies, which until recently were only of two types, rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). We aimed to replicate important findings about a recently described third type of specific autoantibodies, anti-carbamylated protein (anti-CarP) antibodies, because they have been described based only in the homemade ELISA from a single laboratory. Our study included 520 patients with established RA and 278 healthy controls of Spanish ancestry and it was done with an independently performed ELISA. The prevalence and pattern of environmental, clinical and genetic associations of the anti-CarP antibodies were similar to the previously described. Notably, the presence and titers of anti-CarP correlated with the presence and titers of ACPA, but the anti-CarP antibodies did not share the known genetic and exposure risk factors of the ACPA. In addition, anti-CarP antibodies were independently associated with a higher (10.5%) prevalence of bone erosions. The reproducibility of these characteristics across laboratories and European subpopulations, indicates the wide validity of the results and suggests that determination of anti-CarP antibodies could contribute to explain RA pathogenesis and identify clinically relevant patient subgroups.Entities:
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Year: 2016 PMID: 27537849 PMCID: PMC4990271 DOI: 10.1371/journal.pone.0161141
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the patients with RA included in the study.
| Feature | n (%) |
|---|---|
| Gender (women) | 399 (76.7) |
| Age of disease onset, median (IQR) years | 48.6 (35.8–57.2) |
| Duration of follow-up, median (IQR) years | 12.1 (5.3–20.7) |
| Ever smokers | 97 (20.3) |
| Erosions | 325 (65.7) |
| anti-CCP positive | 334 (64.2) |
| RF positive | 301 (60.2) |
| Shared epitope, carrier | 299 (57.5) |
| 137 (26.5) |
Fig 1Distribution of patients with RA positive for the different autoantibodies.
We observed that anti-CarP antibodies were not associated with the SE alleles (Fig 2A). This lack of association was found in all analyses performed, which included either all the SE alleles together (OR = 1.1, P = 0.6), or only the HLA-DRB1*01 alleles (OR = 0.9, P = 0.7), or the *04 alleles (OR = 1.0, P = 0.9), or the *1001 allele (OR = 1.2, P = 0.7). In addition, we did not observe association in analyses conditional on the anti-CCP status (OR = 0.8, P = 0.4), the RF status (OR = 0.9, P = 0.6) or both (OR = 0.8, P = 0.3). In a similar way, there was no association of the anti-CarP status with the PTPN22 R620W polymorphism (Fig 2B). Again, this result was consistent in the direct analysis (OR = 0.9, P = 0.7), and in the conditional on other autoantibodies (OR = 0.8, P = 0.5 conditional on anti-CCP; OR = 1.0, P = 0.8 conditional on RF; and OR = 0.9, P = 0.7 conditional in the two other autoantibodies). Finally, we did not observe association of the anti-CarP antibodies with smoking (OR = 1.0, P = 0.9; Fig 2C). We should note that the anti-CCP positive status was associated with the SE alleles (P = 2.4 x 10−7), showed a stronger association than the anti-CCP negative status with the PTPN22 R620W polymorphism (P = 0.002 for anti-CCP positive and P = 0.13 for anti-CCP negative patients), but it was not associated with smoking (P = 0.65) in our patients, as we already have noted previously [16,17]. All these analyses were adjusted for gender, age at disease onset and time of follow-up.
Fig 2Stratified analysis of RA risk factors according to the anti-CarP and anti-CCP status.
Frequency of the A) HLA-DRB1 SE and B) PTPN22 R620W genotypes in the different strata. White fraction = heterozygotes, grey fraction = homozygotes. C) Frequency of ever smokers. Error bars represent 95% CI. Crl. = controls, NA = not available. P values were obtained with logistic regression analysis adjusted for gender, age of diagnosis and time of follow-up.
Fig 3Prevalence of RA bone erosions in anti-CCP and anti-CarP defined subgroups.
Error bars represent 95% CI. P value from logistic regression analysis adjusted for gender, age of diagnosis and time of follow-up.