Circulating and synovial antibody profiling of juvenile arthritis patients by nucleic acid programmable protein arrays
- David S Gibson†1, 2Email author,
- Ji Qiu†3,
- Eliseo A Mendoza3,
- Kristi Barker3,
- Madeleine E Rooney1 and
- Joshua LaBaer3
© Gibson et al.; licensee BioMed Central Ltd. 2012
Received: 29 November 2011
Accepted: 17 April 2012
Published: 17 April 2012
Juvenile idiopathic arthritis (JIA) is a heterogeneous disease characterized by chronic joint inflammation of unknown cause in children. JIA is an autoimmune disease and small numbers of autoantibodies have been reported in JIA patients. The identification of antibody markers could improve the existing clinical management of patients.
A pilot study was performed on the application of a high-throughput platform, the nucleic acid programmable protein array (NAPPA), to assess the levels of antibodies present in the systemic circulation and synovial joint of a small cohort of juvenile arthritis patients. Plasma and synovial fluid from 10 JIA patients was screened for antibodies against 768 proteins on NAPPAs.
Quantitative reproducibility of NAPPAs was demonstrated with > 0.95 intra-array and inter-array correlations. A strong correlation was also observed for the levels of antibodies between plasma and synovial fluid across the study cohort (r = 0.96). Differences in the levels of 18 antibodies were revealed between sample types across all patients. Patients were segregated into two clinical subtypes with distinct antibody signatures by unsupervised hierarchical cluster analysis.
The NAPPAs provide a high-throughput quantitatively reproducible platform to screen for disease-specific autoantibodies at the proteome level on a microscope slide. The strong correlation between the circulating antibody levels and those of the inflamed joint represents a novel finding and provides confidence to use plasma for discovery of autoantibodies in JIA, thus circumventing the challenges associated with joint aspiration. We expect that autoantibody profiling of JIA patients on NAPPAs could yield antibody markers that can act as criteria to stratify patients, predict outcomes and understand disease etiology at the molecular level.
Juvenile idiopathic arthritis (JIA) is an autoimmune disease and the second most common disease of childhood after diabetes, affecting approximately one in every 1,000 children . JIA consists of a clinically heterogeneous group of arthritic disorders that begin before age 16 years and persist for more than 6 weeks. The cause and pathogenesis of JIA are still poorly understood. Chronic inflammation of joints is the only common denominator for all JIA patients. Of the seven subsets of JIA identified according to the International League Against Rheumatism classification, oligoarticular, extended oligoarticular and polyarticular are the most common . Adverse outcomes can present to varying degrees regardless of the disease subtype . In approximately 25% of children with oligoarticular JIA the disease spreads over time to involve many joints, a condition known as extended oligoarticular disease . A number of major challenges exist in the management of JIA, including a clear and timely diagnosis of JIA, identification of patients at risk of an aggressive disease course, and prediction of response to standard treatment. In overcoming these challenges the central aim is to prevent joint and periarticular damage.
Although clinical manifestations imply the involvement of adaptive immunity in JIA, research into the range of autoantigens that drive the humoral response has significantly lagged behind that of genetic analyses. Genetic associations between JIA subtypes and HLA or non-HLA molecules are known to be related to immune response and associated with other autoimmune diseases [5, 6]. Autoimmune phenomena such as autoreactive T cells and autoantibodies can be detected readily in most JIA subgroups [7–9]. In contrast to the majority of circulating proteins, autoantibodies are easy to measure, less subject to variation in the blood, remarkably stable in serum samples, and readily detected with well-validated secondary reagents. Autoantibody tests for anti-cyclic citrullinated antibody, rheumatoid factor (RF) and antinuclear antigen (ANA) status have been adopted into clinical practice, and their role in diagnosis is well established in adult autoimmune diseases .
Autoantibody study in JIA has generally followed in the wake of research into adult rheumatoid arthritis (RA) by testing the performance of RA autoantigen targets in JIA patients. Even though the evidence provided by this approach has been limited, these studies have provided a glimpse of the heterogeneous molecular mechanisms that contribute to the pathogenesis of various subtypes of JIA. The heterogeneity of JIA is exemplified by the fact that findings from RA can only be applied to a few specific subgroups of JIA patients. RF, which has a sensitivity of ~80% in RA, is present only in a small subgroup of patients with polyarticular-onset JIA . The discovery of RA-specific autoantibodies against citrullinated proteins prompted tremendous interest in their performance in JIA patients. Autoantibodies against citrullinated proteins (anti-cyclic citrullinated protein), which are highly specific for RA, can only be detected in RF-positive JIA patients [12, 13], but are associated with a higher risk of joint erosion, more aggressive disease and therapeutic resistance [14, 15]. Circulating immune complexes containing citrullinated fibrinogen have been identified in only a small subset of JIA patients . Antinuclear antibodies, in contrast, are present in a significant proportion of children with oligoarticular, extended oligoarticular and polyarticular disease, and their presence, to some extent, predicts the development of uveitis.
Although reliable and sensitive, the ELISA is not practical as a high-throughput platform for screening large numbers of autoantibodies. Protein microarrays, on the other hand, provide a multiplexed, high-throughput platform to profile thousands of antibodies in parallel. Despite the potential of harnessing information on the humoral immune response in JIA, protein microarrays have only recently been used to investigate JIA . The current study applies an innovative protein array platform, the nucleic acid programmable protein array (NAPPA), to provide initial evidence of the true variety of autoantibodies present in JIA patients. The NAPPA overcomes some challenges associated with conventional high-density protein arrays in terms of cost and programmability, and makes it possible to screen hundreds of samples for the discovery phase and to design customized arrays for the validation phase [18, 19].
As an exploratory study into the autoantibody complement of early-stage juvenile arthritis, the goals were to determine whether NAPPAs are reproducible enough for autoantibody screening of JIA patients, whether plasma can be used in place of synovial fluid to reflect autoantibodies pertinent to joint pathology, and whether distinct autoantibody expression patterns can be observed for specific clinical subtypes. Both plasma and joint (synovial) fluid were therefore analyzed, and results were compared between duplicate spots within individual arrays, within the same sample type across different patients, and between sample types to highlight potential correlations and differences in autoantibody levels. This strategy highlights the performance characteristics and exhibits the inter-sample and intra-sample comparison abilities of the NAPPA platform. Associations with existing clinical decision-making criteria such as C-reactive protein (CRP) and functional ontology of autoantigens with differentially expressed autoantibodies were also explored.
Materials and methods
Ten patients with newly diagnosed untreated JIA according to International League Against Rheumatism criteria entered this study and were followed for 1 year. At the time of initial sampling there were six children with oligoarticular arthritis and four with polyarticular arthritis (three of whom were RF-negative). At 1 year, three oligoarticular cases had been reclassified as having extended oligoarticular JIA. All patients were examined by a consultant rheumatologist (MER), who confirmed their diagnosis. For the purposes of this study, only initial synovial fluids from children with disease duration < 6 months and untreated disease were studied. Arthrocentesis and joint steroid injection were performed according to clinical need.
Clinical details recorded included the subtype of JIA, age, sex, erythrocyte sedimentation rate (ESR) and CRP. Local inflammation was defined both as joint swelling and/or pain and tenderness with a reduced range of movement on physical examination. All synovial fluids were aspirated using an aseptic technique; plasma was obtained at the same visit. Samples were immediately centrifuged (5,000×g, 15 minutes, 4°C), aliquoted and stored (at -80°C) for at least 1 year to allow for clinical reclassification. Medical Ethics Committee approval was obtained for this study at Green Park Healthcare Trust, and patient assent and parent informed consent were given (Office for Research Ethics Committees Northern Ireland 408/03).
Nucleic acid programmable protein array production
A total of 768 sequence-verified full-length human genes in pANT7_cGST or pLDNT7_nFLAG were obtained from the Center for Personalized Diagnostics at the Arizona State University and are publicly available . The 768 genes were selected to reflect a broad variety of physiological and pathological pathways (Tables S1 and S2 in Additional File 1). The high-throughput preparation of high-quality supercoiled DNA for cell-free protein expression was performed as described . Briefly, Escherichia-coli-bearing expression plasmids were grown in 1.5 ml terrific broth for 24 hours with appropriate antibiotics. Plasmid DNA was purified with the NucleoPrep II anion exchange resin (Macherey-Nagel Inc., Bethlehem, PA, USA) using a Biomek FX (Beckman Coulter, Inc., Fullerton, CA, USA) automated laboratory workstation. Automated addition of all solutions was accomplished using a Matrix WellMate (Thermo Scientific, Hudson, NH, USA) rapid bulk liquid-dispensing instrument. Purified DNA was precipitated by addition of 0.6 volumes of isopropanol, followed by centrifugation at 5,000 ×g for 30 minutes. The DNA pellet was washed with 200 μl of 80% ethanol, centrifuged at 5,000 ×g for 15 minutes, dried and resuspended in deuterated water.
Plasmid DNA was supplemented with capture antibody (50 μg/ml anti-glutathione S-transferase (anti-GST) antibody (GE Healthcare Biosciences, Piscataway, NJ, USA) or anti-FLAG antibody (Sigma-Aldrich, St Louis, MO, USA)), protein cross-linker (2 mM BS3; Pierce, Rockford, IL, USA) and BSA (3 mg/ml; Sigma-Aldrich) prior to printing onto the array surface. All samples were printed using a Genetix QArray2 with 300 μm solid tungsten pins on aminosilane-coated glass slides. Arrays were stored in an airtight container at room temperature until use. The printed DNA was transcribed and translated in situ using previously published protocols . The quality of DNA printing was assessed by PicoGreen staining (Invitrogen, Carlsbad, CA, USA) and protein expression using anti-GST mAb (Cell Signaling, Danvers, MA, USA) diluted at 1:200.
Detection of sample antibodies
For autoantibody profiling, printed arrays were after expression incubated with plasma or synovial fluid diluted 1:600 in the dilution buffer (5% milk with 0.2% Tween 20 in PBS) at 4°C overnight with gentle mixing. Human antibodies reacting with expressed proteins on array were detected by Cy5-labeled anti-human IgG (Jackson ImmunoResearch Laboratories, West Grove, PA, USA). Slides were scanned with a Tecan powerscanner and the images were quantified using ArrayPro Image analysis software. The highly immunogenic Epstein-Barr virus-derived antigen (Epstein-Barr virus nuclear antigen 1) was included as the positive control antigen. Negative controls included empty vectors and no DNA controls. Registration spots for array alignment were printed purified human IgG proteins.
Differential expression and unsupervised cluster analysis
Ten plasma samples and 10 matched synovial fluid samples from JIA patients were screened on 768 antigens displayed in NAPPA format. The normalized volume for each spot on each array was calculated by first removing the background signal estimated by the first quartile of the nonspots, and then log-transformation of the spot volumes was used to generate normally distributed data. The log-normalized volume was used to compare spot abundance. Differential spot analysis was performed across the two sample types with Prism 5.03 software (GraphPad Software Inc., La Jolla, CA, USA). Each comparison was filtered to find spots having > 1.45-fold change in average normalized volume expression between the sample types.
Expression data were analyzed using Epclust, a generic data clustering, visualization and analysis tool . Unsupervised hierarchical analysis reordered protein expression patterns in an agglomerative fashion, using the unweighted pair-group average with arithmetic mean clustering procedure. Euclidean ranked correlation was the similarity measure used to group or separate the expression data. A heatmap was produced, accompanied by dual dendrograms depicting the extent of similarity between different patients and autoantibody levels in the samples. Information on the functional ontology of target antigens was mined from the UniProt archive version 2011.03.11 .
Serine/threonine kinase-10 antibody ELISA
Autoantibodies differentially expressed between circulation and joint
Functional ontology biological process
Higher in PL (> 45%)
C-terminal binding protein 1
Differentiation, host-virus interaction, transcription regulation
Guanine nucleotide binding protein (G protein), alpha 13
Cellular component movement, platelet activation
Presenilin associated, rhomboid-like protein
Fatty acid biosynthesis, lipid synthesis
Cas-Br-M (murine) ecotropic retroviral transforming sequence b
Ubiquitin conjugation pathway
Abhydrolase domain containing 16A
Tubulin, gamma complex associated protein 3
Microtubule nucleation at the centrosome
Modulator of apoptosis 1
Family with sequence similarity 76, member B
Thyroid hormone receptor, alpha
Nuclear hormone receptor, transcriptional regulation
Host-virus interaction, lipid transport
Eyes absent homolog 2 (Drosophila)
DNA damage and repair, transcription regulation
Regulation of the immune response, acute-phase reactions and hematopoiesis
G protein-coupled receptor 153
Histone deacetylase 3
Anti-apoptosis, histone deacetylation, transcriptional regulation
Actin related protein M1
Natural killer cell group 7 sequence
Mitogen-activated protein kinase kinase 7
Activation of JUN kinases
Ubiquitin-conjugating enzyme E2A (RAD6 homolog)
DNA damage and repair, ubiquitin conjugation pathway
v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog
Pleckstrin homology domain containing, family O member 1
Regulation of the actin cytoskeleton
Adaptor-related protein complex 1, sigma 1 subunit
Endocytosis, protein transport
Induces growth and differentiation of epithelial, glial, neuronal and skeletal muscle cells
Peroxisomal biogenesis factor 5
Nuclear receptor subfamily 6, group A, member 1
Transcriptional regulation, cell proliferation
Serine/threonine kinase 10
Serine and threonine phosphorylation
Eukaryotic translation initiation factor 1
Protein biosynthesis through ribosomal complexes
Zinc finger protein 36, C3H type-like 2
Cell proliferation, regulates response to growth factors
Cartilage oligomeric matrix protein
Controls apoptosis and cell adhesion within extracellular matrix
Higher in SF (> 45%)
Actinin, alpha 1
Similar levels in PL and SF (< 10%)
Protein phosphatase 2, catalytic subunit, beta isozyme
Peroxisomal biogenesis factor 10
mitogen-activated protein kinase kinase kinase 7
Component of a protein kinase signal transduction cascade; Stimulates NF-κB activation and the p38 mitogen-activated protein kinase pathway
3-Hydroxy-3-methylglutaryl-CoA synthase 1
Cholesterol, steroin and sterol biosynthesis; lipid synthesis
TNF receptor-associated protein 1
Chaperone that expresses an ATPase activity
Troponin C type 1 (slow)
Regulatory protein of striated muscle contraction
JIA subgroup (at 1 year)
Age at sample (years)
WBC (×106 cells/l)
Intra-slide precision and inter-sample correlation
Differential expression of antibodies between the circulation and joint
Patient samples were clustered into two key groupings: low antibody levels (Patients O1, O3, E1, E2, E3 and P3); and high antibody levels (Patients O2, P1, P2 and P4). It is intriguing that three of the four at-risk patients previously identified with medium to high levels of CRP or ESR (Patients O2, P2 and P4) also cluster independently with high levels of antibodies relative to the remaining patients (Figure 3B). The trends observed do not reach statistical significance by Student's t test.
The production of antibodies against self-antigens (autoantibodies) is a characteristic feature of many autoimmune diseases. At a clinical level, tests for specific autoantibodies - such as ANA positivity - are routinely employed to aid the diagnosis and to track the progress of these diseases. Traditionally, autoantibodies have been identified with a one-antigen-at-a-time, hypothesis-driven approach using methods such as immunofluorescence and ELISA.
In contrast, microarrays provide a particularly effective platform for the systematic study of thousands of proteins in parallel because they are sensitive and require low sample volumes [23, 24]. Protein microarrays involve the display of thousands of different proteins with high spatial density on a microscopic surface. Protein microarrays have been applied to autoimmune biomarker studies focused on presymptomatic screening and diagnosis, clinical outcome prognosis and therapeutic response prediction [25–28]. In the field of autoimmune disorders, conventional printed arrays have been used to study RA, systemic lupus erythematosus, multiple sclerosis, hepatitis and encephalomyelitis [29–34].
The NAPPA is an innovative method to produce protein microarrays, where cDNAs encoding proteins of interest are spotted onto activated surfaces and proteins are produced in situ using mammalian in vitro expression systems [18, 19]. The freshly made protein is captured by cospotted antibodies specific for a tag encoded at the end of the amino acid sequence. This approach circumvents the labor and cost considerations associated with conventional spotting of labile recombinant proteins into arrays. NAPPA technology recently revealed that ankylosing spondylitis patients' autoantibody responses were targeted towards connective, skeletal and muscular tissue, unlike those of RA patients .
The development of protein microarrays offers a compelling strategy to comprehensively screen antibodies. When properly executed, these microarrays allow thousands of full-length proteins to be tested simultaneously. NAPPA technology replaces printing proteins with a more reliable and less expensive process of printing DNA, circumventing the need to express, purify and store proteins. Additionally, this avoids concerns about protein stability because the proteins are expressed only at the time of assay. The responses are rapidly identified because the address of each protein is known in advance and there are no representation issues; all proteins, even rare ones, are represented equally (usually in duplicate). The proteins are arrayed on a single microscope slide requiring only a few microliters of plasma or serum per assay. An additional advantage of this approach is that the data can be evaluated to look for both informative individual antigens as well as for patterns of antigen responses with good predictive value [17, 36, 37]. Moreover, the coupling of clustering algorithms with the simultaneous comparison of many antigen responses lends itself well to the determination of antigens with concordant and independent responses.
In the current study, associations were found between at-risk patients with elevated CRP or ESR and elevated antibody levels. The trend is observed in both plasma and synovial fluid; and although no statistical significance can be tied to this association, future study with an expanded cohort could clarify any relationship. Given the relatively low prevalence of individual autoantibodies, large numbers of patient and control sera are needed to demonstrate statistical confidence in new markers. There is thus a strong need for quantitative reproducibility both within the array and from array to array so that data can be analyzed across arrays probed with samples on different days to draw statistical conclusions.
The current investigation clearly demonstrated quantitative reproducibility, differential reactivity against different proteins for individual samples, differential reactivity among different patients, and the potential to use plasma samples as a source for multiplex autoantibody discovery in JIA. The strong correlation between synovial fluid and plasma antibody levels represents a novel finding and provides confidence to use plasma for discovery of autoantibodies also found in the pathological joint, thus circumventing the challenges associated with joint aspiration. Certain antibodies were identified at elevated levels in plasma (relative to synovial fluid), suggesting that these may emanate either from immune cells within the circulation or from other tissues around which blood circulates. Additionally, these elevated antibodies were possibly produced just prior to sample collection, in response to stimulatory antigens, and have not yet reached homeostatic levels between the circulation and joint fluids. Intriguingly, in some cases there is a shift toward a higher signal in synovial fluid; however, this did not alter the relative abundances of individual species. One possible explanation of this variation in antibody concentration is the hydration status of the subjects in question. Overall, however, the relative abundance of specific antibody species correlates strongly in most cases.
A wealth of work exists based on conventional tests for solitary autoantibody species in plasma or serum across a number of arthritides, including JIA. ANAs are mainly associated with oligoarticular-onset JIA patients, but are also present in polyarticular and psoriatic subtypes [38, 39]. Several reports have documented the association between the presence of ANAs and uveitis in JIA patients . Distinct autoantigens that contribute to ANA positivity have not yet been identified. ANA testing is still performed by indirect immunofluorescence on HEp2 cells . Antibodies against histones, HNRPA2 and nonhistone chromosomal proteins have been reported in JIA patients . However, ANAs are present in patients with other autoimmune diseases as well as healthy individuals, and might be transiently increased during viral or bacterial infections. ANA testing to diagnose JIA is therefore limited due to its low disease specificity. Several other autoantigens, such as heat shock glomerular and endothelial proteins, have also been assessed in JIA, but the results are inconsistent and of limited value either for diagnosis or for understanding the disease pathological mechanism [43–45].
The unsupervised pair-wise clustering of antibody levels and clinical subtype, albeit in a small cohort, produced some interesting observations. The expression levels of antibodies directed at a select group of antigens appear to segregate patients into two clinically relevant clusters. The two defined patient groups are distinguished by the severity of disease, whereby a higher antibody titer is associated with an increase of the acute-phase indicators ESR and CRP. Additionally, a number of these high-antibody-titer patients tested ANA-positive or RF-positive, suggesting a trend - although this would require confirmation in a much larger patient cohort. Similarly, a recent protein array study demonstrated that juvenile arthritis patients can be stratified into distinct molecular subtypes based on the expression of antibody signatures . Stoll and colleagues demonstrated that autoantibodies directed at the extracellular matrix and nuclear antigens are elevated in a subgroup of oligoarticular JIA patients that were less likely to attain clinical remission. Likewise, clinical subtyping of adult RA patients by arrays of 10 preselected antigens has been successfully demonstrated on an Immunological Multi-Parameter Chip Technology platform produced by Roche Diagnostics Corp., Indianapolis, IN, USA . As a constituent of the observed elevated signature, antibodies against the IL-6 receptor, for example, may signal a distortion in the regulation of the immune and acute phase responses. In fact, synthetic humanized anti-IL-6 receptor embodies one of the highly selective biologic therapeutic tools now available to clinicians .
In the future we intend to move this work towards a statistically powered discovery study that will analyze a much larger cohort with healthy control subjects, to capture significant biological variance in antibody levels that correlate with clinically relevant outcomes. Pertinent clinical questions focused on the management of arthritis patients that remain unanswered include the prognosis of adverse outcome (for example, spread of inflammation to previously unaffected joints) and the timely prediction of which drugs could abrogate that outcome (for example, heterogeneity in response amongst JIA subgroups to expensive biologic drugs). Discovery findings should be considered a set of leads that then require meticulous validation, especially with respect to the utility of a multiplex antibody signature in a routine clinical setting.
In summary, autoantibody research in JIA has in general been hypothesis driven and often adapted from findings of adult RA and other autoimmune diseases. Unfortunately, even the most established findings in RA have not proven useful and relevant in all subtypes of JIA. A comprehensive profiling of the autoantigen repertoire in JIA patients will greatly improve our understanding of the molecular and cellular mechanisms that lead to the loss of immunological tolerance and production of autoantibodies.
bovine serum albumin
enzyme-linked immunosorbent assay
erythrocyte sedimentation rate
juvenile idiopathic arthritis
nucleic acid programmable protein array
DSG and MER would like to acknowledge the funding of this research by Arthritis Research UK in the form of a Project Grant (No. 18748). DSG would like to acknowledge support from Arthritis Research UK in the form of a Travelling Fellowship (No. 19250).
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