Anti-citrullinated peptide autoantibodies, human leukocyte antigen shared epitope and risk of future rheumatoid arthritis: a nested case–control study
© Arkema et al.; licensee BioMed Central Ltd. 2013
Received: 3 April 2013
Accepted: 2 October 2013
Published: 23 October 2013
The aim of this study was to characterize anti-citrullinated peptide antibody (ACPA) serostatus in pre-clinical rheumatoid arthritis (RA) with and without Human Leukocyte Antigen-Shared Epitope (HLA-SE) alleles.
We identified 192 women in the Nurses’ Health Study cohorts with blood samples obtained 4 months to 17 years prior to medical record-confirmed RA diagnosis. Three controls were selected matched on age, cohort, menopausal status and post-menopausal hormone use. Reactivities to 18 ACPAs were measured using a custom BioPlex platform. We used conditional logistic regression to calculate the relative risk (RR) of RA for any ACPA-positive and peptide-specific ACPA-positive and examined RRs by time between blood draw and RA onset. Measures of multiplicative and additive interaction between any ACPA-positive and HLA-SE were calculated.
All ACPAs by peptide groups were significantly associated with RA risk, RRs ranged from 4.7 to 11.7. The association between ACPA and RA varied over time with the strongest association in those with blood draw less than 5 years before onset (RR 17.0 [95% CI 5.8 to 53.7]) and no association 10 or more years prior to onset (RR 1.4 [95% CI 0.5 to 4.3]). Individuals with both HLA-SE and any ACPA-positive had the highest risk of RA. HLA-SE-positive RA cases showed reactivity to more ACPA types than HLA-SE negative (χ2 test for trend, P = 0.01).
There is increasing ACPA reactivity up to 10 years before RA onset with the strongest association within 5 years of RA onset. The magnitude of the response to ACPAs, in combination with the presence of HLA-SE, is most important for identifying those individuals with the highest risk of RA.
Rheumatoid arthritis (RA) is an autoimmune inflammatory arthropathy characterized by inflammation and autoantibodies directed against citrullinated peptides. The anticyclic citrullinated peptide (anti-CCP) test, a commercial assay that relies upon reactivity to several modified or synthetic CCPs, is a useful assay for diagnosing RA and is highly specific for RA. Recently, research has focused on autoantibodies directed against specific proteins and/or peptides found in the synovium, such as vimentin, fibrinogen and enolase[2–7], in an effort to identify a specific antigen responsible for inciting RA. Patients with RA may be positive for more than one anticitrullinated peptide antibody (ACPA), and there appears to be epitope spreading of ACPA reactivity in the years leading up to diagnosis[5, 6, 8–10].
Human leukocyte antigen (HLA)- DRB1 shared epitope (HLA-SE) alleles are the strongest genetic risk factors for RA, carrying a two- to threefold increased risk[11–13]. Past case–control studies have found that having both HLA-SE and anti-CCP antibodies confers a greater risk of developing RA than either one alone[14–16]. Among individuals with RA, those with HLA-SE alleles are more likely to have anti-CCP antibodies[2, 4, 17–21].
Most studies of individual ACPAs and RA risk have included patients with early or well-established RA, and those that have included pre-RA patients have not examined the combined effect of ACPA and HLA-SE. Our objective in the present study was to characterize reactivity to ACPAs targeted to epitopes found in the rheumatoid synovium in the preclinical period before RA onset using a nested case–control design within the Nurses’ Health Study (NHS) and Nurses’ Health Study II (NHSII) cohorts. We examined the relationship between the number of ACPAs recognized and the time interval until RA symptom onset. Furthermore, we aimed to understand the interaction between ACPA and HLA-SE in determining RA risk within this preclinical window.
Study design and population
The NHS is a prospective cohort of 121,700 female nurses ages 30 to 55 years living in 11 states in 1976. The NHSII is a similar cohort started in 1989 of 116,430 female nurses ages 25 to 42 years living in 14 states in the United States. The NHS and NHSII participants completed questionnaires at baseline and every 2 years afterward regarding diseases, lifestyle and health practices. From 1989 to 1990, 32,826 NHS participants (27%) provided blood samples, and from 1996 and 1999, 29,611 NHSII participants (25%) provided blood samples for future studies. We excluded women with any history of cancer (except nonmelanoma skin cancer) at the time of blood draw. All aspects of this study were approved by the Partners’ HealthCare System’s institutional review board. The participants’ return of a completed questionnaire was accepted as informed consent and was approved by the review board.
Identification of rheumatoid arthritis cases
Methods of RA case identification and validation have been described in detail in past publications[22, 23]. Briefly, nurses who self-reported a doctor-diagnosed connective tissue disease underwent a screening questionnaire for symptoms using the Connective Tissue Diseases Screening Questionnaire. If the result was positive, a detailed medical record review was performed to determine definite RA using the American College of Rheumatology (ACR) classification criteria. Individuals who met four of seven of the ACR criteria documented in the medical record were defined as cases. There were a small number of cases included as incident RA with only three of the ACR criteria and a physician’s diagnosis, but further agreed upon by two rheumatologists on the basis of chart review (n = 8). There were 11 cases with a missing date of symptom onset; in those cases, we therefore imputed the time of onset by assuming that the time between onset and diagnosis was similar to those in the rest of the cases (median time between onset and diagnosis was 6 months). Only cases with a blood draw at least 3 months before symptom onset were included.
Identification of matched controls
Three controls for each confirmed incident RA case were randomly chosen from among participants with stored blood, matched on age (±1 year), menopausal status and postmenopausal hormone use, as well as on time of data collection and fasting status at blood draw. In NHSII, premenopausal women were also matched on timing of blood sample in the menstrual cycle. We excluded from the control group any self-reported RA not confirmed by a doctor and any participants who reported other connective tissue diseases.
Anticitrullinated peptide antibodies
Potential RA-associated antigens identified from the literature and through proteomic screening were coupled to spectrally distinct beads using the BioPlex multiplex assay platform (Bio-Rad Laboratories, Hercules, CA, USA) for analysis and a Luminex 200 instrument (Luminex, Austin, TX, USA) as previously described. Three preestablished control serum samples consisting of high reactivity, low reactivity and no reactivity were run on each plate as internal controls: negative, low positive and high positive. Reactivities to 18 ACPAs targeted to synovial epitopes were measured in raw fluorescent intensity units and determined to be positive if they were more than three times the standard deviation above the mean in controls. A less conservative cutoff of more than two times the standard deviation was used in sensitivity analysis. ACPA targets included citrullinated enolase, biglycan, clusterin, fibrinogen, histone 2A, histone 2B and vimentin. Three native peptides were also assayed to serve as controls (fibrinogen, histone 2B and vimentin). A detailed list of each ACPA target can be found in Additional file1: Table S1. Intrabatch coefficients of variation (CVs) were 4% to 10%, and interbatch CVs were 6% to 16%. We examined reactivity to any ACPA overall, ACPAs by peptide group (for example, reactivity to any citrullinated clusterin peptide) and individual ACPAs. A count of ACPAs was carried out by adding the number of positive ACPAs. An anti-CCP second-generation assay was performed by bead-based microarray using beads coated with peptide antigen (generously provided by Bio-Rad Laboratories). A relative fluorescence value greater than 1,500 was considered anti-CCP-positive, as this cutoff was determined to have similar sensitivity and specificity to a variety of plate-based, anti-CCP2 enzyme-linked immunosorbent assays.
HLA low to intermediate typing was performed by One Lambda LABType reverse SSO Luminex DNA typing method (One Lambda, Canoga Park, CA, USA). First, target DNA was PCR-amplified using biotinylated group-specific primers. The PCR product was then denatured and hybridized to sequence-specific oligonucleotide probes bound to fluorescently coded microspheres to identify alleles encoded by the sample DNA. A flow analyzer, the Luminex 200, identified fluorescence intensity of R-phycoerythrin-conjugated streptavidin on each microsphere. The assignment of the HLA typing was based on the reaction pattern compared to probe specificities associated with published HLA gene sequences. HLA high-resolution typing was performed by sequencing. HLA locus-specific amplification was performed in a thermal cycler using the amplification primer mix and template DNA. Sequencing was performed using BigDye Terminator sequencing chemistry (Applied Biosystems, Foster City, CA, USA). Group-specific sequencing primers were used when necessary to resolve allele-specific ambiguities. We defined HLA-SE-positive as those having at least one SE allele (HLA-DRB*0401, 0404, 0405, 0408, 0101, 0102, 1001 or 09). HLA-SE data were available for 190 cases and 283 controls from another study. The distribution of demographics and potential confounders in this subset with HLA-SE data was similar to that of the full study population.
Covariates were collected from the questionnaire before blood draw and were selected for analysis if associated with RA. Continuous variables included were pack-years of smoking, measured by the product of years of smoking and packs of cigarettes per day[27–29]; cumulative average alcohol intake in grams per day[28, 30]; and body mass index (BMI) in kilograms per square meter. Less than 1% of study participants had missing data for each continuous covariate; therefore, median values from the control group were imputed. Irregular menses was included as a dichotomous variable, and an indicator was used for missing data.
Risk ratios (RRs) and their 95% confidence intervals (95% CIs) were obtained from conditional logistic regression models. Multivariable models included age at blood draw, pack-years of smoking, BMI, alcohol intake and irregular menses. Multivariable Cox proportional hazards models, including an interaction term for each ACPA and time from blood draw to symptom onset, were used to examine whether the association between each ACPA and RA varied over time. Preclinical RA cases were stratified into subgroups based on time between blood draw and onset of RA. Because each participant donated a single blood sample, the subgroups were mutually exclusive. Effect modification of the association between ACPA positivity and RA by HLA-SE was assessed using unconditional logistic regression with adjustment for matching factors. The ratio of odds ratios was calculated to examine the multiplicative interaction between ACPA and HLA-SE, and additive interaction was assessed by calculating the synergy index (S). A χ2 test for trend was used to compare categorical ACPA count over time intervals. To determine if HLA-SE was associated with peptide-specific ACPAs, we used logistic regression models.
Characteristics of preclinical rheumatoid arthritis cases and matched controls at time of blood collection in the Nurses’ Health Study and Nurses’ Health Study II a
RA cases (N = 192)
Matched controls (N = 567)
Cohort, n (%)
Caucasian, n (%)
Mean age at blood collection, years (SD)
Never smoker, n (%)
Current smoker, n (%)
Past smoker, n (%)
Mean pack-years of smokingb (SD)
Mean alcohol intake, g/day (SD)
Mean BMI, kg/m2 (SD)
Premenopausal, n (%)
Parous, n (%)
Irregular menses, n (%)
Positive for any ACPA, n (%)
Positive for anti-CCP, n (%)
Mean age at RA diagnosis, years (SD)
Mean time to RA onset, months (SD)
Median time to RA onset, months (IQR)
Morning stiffness, n (%)
Arthritis three or more joint areas, n (%)
Hand arthritis, n (%)
Symmetric arthritis, n (%)
Nodules, n (%)
Erosions, n (%)
Anticitrullinated peptide autoantibodies in women and risk of future rheumatoid arthritis in the Nurses’ Health Study and the Nurses’ Health Study II a
Positive cases (N = 192)
Positive controls (N = 567)
Unadjusted RR (95% CI)
Adjusted RR (95% CI)
4.9 (3.0 to 7.8)
4.9 (2.9 to 8.2)
6.0 (2.1 to 17.5)
4.7 (1.6 to 14.2)
12.2 (5.0 to 29.8)
11.7 (4.7 to 26.3)
5.0 (1.2 to 20.9)
5.8 (1.3 to 27.1)
6.3 (3.5 to 11.4)
5.9 (3.2 to 11.0)
4.9 (2.0 to 11.8)
5.3 (2.1 to 13.2)
7.3 (3.1 to 17.6)
7.0 (2.8 to 17.2)
9.8 (4.5 to 21.6)
9.7 (4.3 to 21.8)
Relationship of anticitrullinated peptide autoantibodies to time to rheumatoid arthritis onset
When cases were restricted to those diagnosed within 5 years of blood draw, the sensitivity of an ACPA-positive test was 42.2% and the specificity was 93.3%. In comparison, anti-CCP-positive sensitivity was 26.6% and the specificity was 100%. Characteristics of the RA cases diagnosed within 5 years of blood draw are described in Additional file3: Table S3.
Relationship between anticitrullinated peptide autoantibody and HLA-SE
Odds ratios for rheumatoid arthritis by anticitrullinated peptide autoantibody positivity and presence of HLA-SE a
Cases (N = 36)
Controls (N = 268)
OR (95% CI)
Cases (N = 27)
Controls (N = 15)
OR (95% CI)
OR (95% CI) for ACPA within strata of HLA-SE
7.7 (2.2 to 27.5)
7.7 (2.2 to 27.5)
P = 0.002
P = 0.002
1.4 (0.7 to 2.9)
33.3 (11.1 to 99.6)
23.8 (7.9 to 71.8)
P = 0.38
P < 0.0001
P < 0.0001
OR (95% CI) for HLA-SE present
1.4 (0.7 to 2.9)
4.3 (1.0 to 18.6)
within strata of ACPA
P = 0.38
P = 0.05
In this large, prospective cohort study of women followed for many years, we have demonstrated that the majority of a panel of 18 different ACPAs targeted to epitopes in the rheumatoid synovium are strongly associated with risk of future RA. The highest reactivity for each of these ACPAs was observed in the subgroup within 5 years of RA symptom onset. Having any ACPA reactivity was associated with an almost 18-fold increased risk of RA among the subgroup within 5 years of RA symptom onset and a 4-fold increased risk within the subgroup with blood draws 5 to 10 years before RA symptom onset. The higher number of ACPAs and the higher overall ACPA reactivity closer to the time of RA onset may be indicative of epitope spreading, as has been reported in prior studies[5, 6, 9, 10]. We also found that HLA-SE-positive RA cases showed reactivity to more ACPA subtypes than HLA-SE-negative cases and that antibodies to citrullinated clusterin and vimentin were most strongly associated with HLA-SE-positive RA.
Three recent case–control studies have identified individuals with stored blood who later developed RA. A blood donor study in the Netherlands examined five ACPAs in seventy-nine donors who gave blood multiple times before they developed RA. Another study analyzed 17 ACPAs using a multiplex panel similar to the panels used in our study in stored serum samples from the US Department of Defense Serum Repository, including 81 individuals who had blood samples taken before RA diagnosis. A third study examined 10 ACPAs in 374 individuals who had donated blood in Sweden before RA diagnosis. (A subset of these cases was reported by van der Woude et al.). These pre-RA studies also showed increased ACPA reactivity in time periods closest to disease diagnosis and an expansion of the ACPA repertoire over time among cases. Our results are not directly comparable to those from the Netherlands and Sweden, as we used a different panel of ACPAs. However, we employed the same panel of ACPAs tested in the prior US study and found that all peptide-specific ACPAs were associated with a fivefold or greater increased risk of RA.
None of the blood bank studies cited above examined the combined effect of ACPA positivity and HLA-SE on RA risk, however, nor were the investigators able to adjust for potential confounders such as smoking. In the current study, the presence of HLA-SE and any ACPA together conferred an increased risk of RA: a 10-fold increased risk overall and a 33-fold increased risk within 5 years of RA onset. This particular group of individuals is at an especially high risk of imminent RA.
One previous case–control study of pre-RA cases from a Swedish blood donor bank compared those with HLA-SE alleles and commercial anti-CCP assay positivity to those with neither and calculated an OR for RA of 66.8 (95% CI = 8.3 to 549.4). Researchers in previous studies that included patients with established RA or early RA symptoms have found that the combination of a positive anti-CCP test measured close to the time of diagnosis of RA or individual ACPAs and HLA-SE was greater than the effect of each alone[14, 16, 33]. However, these findings address a different question: whether ACPAs and HLA-SE are predictive of RA among patients who already have symptoms.
Among the NHS participants who later developed RA, those with HLA-SE had a more diverse ACPA repertoire. Hill and colleagues have demonstrated that major histocompatibility complex class II molecules containing the shared epitope had higher affinity for citrullinated peptides in mice and that citrullinated peptide modification activated a CD4+ T-cell response. We observed that HLA-SE was associated with anticitrullinated vimentin and fibrinogen reactivity in particular, which is congruent with reports by van der Woude et al. (vimentin) and van de Stadt et al. (fibrinogen). We have further demonstrated that HLA-SE was associated with antibodies to citrullinated clusterin. In this study, we have included ACPAs directed toward well-established peptide targets (fibrinogen, vimentin and enolase) as well as newer targets (biglycan, clusterin and histones 2A and 2B), all of which have been shown to be associated with RA. The association between 17 different citrullinated peptides (7 different peptide types) and RA risk suggests that the magnitude and diversity of recognition to many different ACPAs is key to understanding the immune response in the preclinical time period.
The generalizability of our study may be limited, as we studied the NHS cohorts, which include only women, but it is thought that RA pathogenesis is similar in men and women. We had only one blood sample per individual; therefore, it was not possible to investigate epitope spreading over time in a single individual. With a follow-up after blood draw of up to 17 years (longer follow-up than previous studies of pre-RA), we were able to investigate if there was an early rise in ACPAs more than 10 years prior to RA onset. Our study helps to increase understanding of the diversity of ACPAs before onset using a relatively large sample of pre-RA cases. We included a large, up-to-date ACPA panel, which enabled us to study ACPA count in relation to HLA-SE and RA onset date, which may be more relevant than one ACPA alone in the years leading up to disease onset. This study is also strengthened by the use of data on health and lifestyle factors taken from questionnaires before blood draw, which allowed us to adjust for potential confounders.
We found that a diverse ACPA repertoire is associated with HLA-SE and is strongest within 5 years of onset of RA. Our study suggests that there is a broader citrullinated epitope recognition profile instead of one ACPA being responsible for inciting disease. The magnitude of the response to ACPAs in combination with the presence of HLA-SE may be most important for determining the risk of disease. In the future, researchers should continue to investigate whether individual environmental factors trigger the development of ACPA reactivity and immune dysregulation in the peripheral blood before RA onset.
Anticitrullinated peptide autoantibody
American College of Rheumatology
Anticyclic citrullinated peptide
Body mass index
Human leukocyte antigen shared epitope
Nurses’ Health Study
Ratio of odds ratio
The authors would like to thank the staff and participants of the Nurses’ Health Studies. This work was supported by the National Institutes of Health (grants AR59073 (to KHC), CA87969, CA49449, CA50385, CA67262, AR49880 and AR52403 (to EWK)) and by a doctoral dissertation award from the Arthritis Foundation (to EVK).
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