Klaartje Somers

Autoantibody Profiling in Multiple Sclerosis Reveals Novel Antigenic Candidates

An important contribution of B cells and autoantibodies has been demonstrated in the pathogenesis of multiple sclerosis (MS), leading to interest in the use of such autoantibodies as diagnostic or prognostic biomarkers. The objective of this study was to identify novel Ab biomarkers for MS using “serological Ag selection”. Using a phage display library derived from MS brain plaques, we applied serological Ag selection to identify antigenic targets specifically interacting with Abs present in the cerebrospinal fluid (CSF) of 10 relapsing-remitting MS patients. These antigenic targets were further evaluated on a large panel of CSF from 63 other MS patients, 30 patients with other inflammatory disorders, and 64 patients with noninflammatory neurological disorders. A panel of eight antigenic targets was identified that showed a 86% specificity and 45% sensitivity in discriminating MS patients and controls. Four of the antigenic targets showed exclusive reactivity (100% specificity; 23% sensitivity) in the MS group as compared with the control group. Detailed bio-informatic analyses revealed a novel Ag, SPAG16. Among the novel phage peptides identified, novel epitopes were generated from untranslated sequences and out-of-frame sequences. Of 10 relapsing-remitting patients used for serological Ag selection, Ab reactivity toward one of the eight antigenic targets was also demonstrated in serum of 38% CSF-positive patients. Autoantibody profiles against epitopes derived from MS brain tissue could serve as diagnostic markers or form the basis for the identification of a subgroup of MS patients.

Identification of a genetic variant for joint damage progression in autoantibody-positive rheumatoid arthritis

Background Joint destruction is a hallmark of autoantibody-positive rheumatoid arthritis (RA), though the severity is highly variable between patients. The processes underlying these interindividual differences are incompletely understood. Methods We performed a genome-wide association study on the radiological progression rate in 384 autoantibody-positive patients with RA. In stage-II 1557 X-rays of 301 Dutch autoantibody-positive patients with RA were studied and in stage-III 861 X-rays of 742 North American autoantibody-positive patients with RA. Sperm-Associated Antigen 16 (SPAG16) expression in RA synovium and fibroblast-like synoviocytes (FLS) was examined using Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR) and immunohistochemistry. FLS secrete metalloproteinases that degrade cartilage and bone. SPAG16 genotypes were related to matrix metalloproteinase (MMP)-3 and MMP-1 expression by FLS in vitro and MMP-3 production ex vivo. Results A cluster of single nucleotide polymorphisms (SNPs) at 2q34, located at SPAG16, associated with the radiological progression rate; rs7607479 reached genome-wide significance. A protective role of rs7607479 was replicated in European and North American patients with RA. Per minor allele, patients had a 0.78-fold (95% CI 0.67 to 0.91) progression rate over 7 years. mRNA and protein expression of SPAG16 in RA synovium and FLS was verified. FLS carrying the minor allele secreted less MMP-3 (p=1.60×10−2). Furthermore, patients with RA carrying the minor allele had lower serum levels of MMP-3 (p=4.28×10−2). In a multivariate analysis on rs7607479 and MMP-3, only MMP-3 associated with progression (p=2.77×10−4), suggesting that the association between SPAG16-rs7607479 and joint damage is mediated via an effect on MMP-3 secretion. Conclusions Genetic and functional analyses indicate that SPAG16 influences MMP-3 regulation and protects against joint destruction in autoantibody-positive RA. These findings could enhance risk stratification in autoantibody-positive RA.

Multiplexing approaches for autoantibody profiling in multiple sclerosis

The preliminary positive effects of B cell depletion therapy in multiple sclerosis (MS) have renewed interest in a potential role of B cells and autoantibodies in the MS disease process. Regardless of a possible pathogenic role of the humoral immune response in MS, the analysis of autoantibodies as disease markers is valuable. Despite intense research, there is no known MS-associated antibody specificity that can individually discriminate between MS patients and controls. Due to the overlap in autoantibody profiles in autoimmune diseases, and due to the complexity of MS, multiplex autoantibody profiling approaches are needed to generate a panel of MS-associated autoantibodies with high combined sensitivity and specificity for MS. In recent years, several multiplexing approaches have been applied in MS autoantibody profiling with promising results regarding the generation of a so-called MS-specific autoantibody fingerprint. We also recently applied a high-throughput autoantibody profiling technique for MS cerebrospinal fluid resulting in the identification of a novel panel of 8 antigenic targets with 45% sensitivity and 86% specificity for the disease. Identification of MS-specific autoantibody specificities is important for the development of diagnostic and prognostic markers for MS. Moreover, it can provide more knowledge regarding underlying MS disease processes and novel therapeutic targets.

Exploring cDNA phage display for autoantibody profiling in the serum of multiple sclerosis patients: optimization of the selection procedure.

Abstract:  We applied a cDNA phage display method called serological antigen selection (SAS) to identify immunogenic targets that evoke an autoantibody response in the serum of multiple sclerosis (MS) patients. This method involves the display of a cDNA expression library, in this study a MS brain library, on filamentous phage and subsequent selection using patient immunoglobulin G (IgG). To apply the SAS technology for autoantibodies in the serum of MS patients, an optimization was necessary to deplete cDNA products that encode IgG fragments derived from B cells present in the MS brain plaques. We describe a differential screening procedure in which positive selection rounds on MS serum and negative selection rounds on healthy control serum were alternated to optimize the selection procedure. As a result, a substantial decrease of IgG‐displaying phage clones was observed after each negative selection round, thereby preventing an overgrowth of IgG‐displaying phage clones. Our depletion strategy was therefore successful in preventing the enrichment of IgG‐displaying phage clones. This approach will facilitate the identification of possible MS‐related antigens.

Sperm-Associated Antigen 16 Is a Novel Target of the Humoral Autoimmune Response in Multiple Sclerosis

We have previously identified eight novel autoantibody targets in the cerebrospinal fluid of multiple sclerosis (MS) patients, including sperm-associated Ag 16 (SPAG16). In the current study, we further investigated the autoantibody response against SPAG16—a protein with unknown function in the CNS—and its expression in MS pathology. Using isoelectric focusing, we detected SPAG16-specific oligoclonal bands in the cerebrospinal fluid of 5 of 23 MS patients (22%). Analysis of the anti-SPAG16 Ab reactivity in the plasma of a total of 531 donors using ELISA demonstrated significantly elevated anti-SPAG16 Ab levels (p = 0.002) in 32 of 153 MS patients (21%) compared with all other control groups with 95% specificity for the disease. To investigate the pathologic relevance of anti-SPAG16 Abs in vivo, anti-SPAG16 Abs were injected in mice with experimental autoimmune encephalomyelitis, resulting in a significant disease exacerbation. Finally, we demonstrated a consistent upregulation of SPAG16 in MS brain and experimental autoimmune encephalomyelitis spinal cord lesions, more specifically in reactive astrocytes. We conclude that SPAG16 is a novel autoantibody target in a subgroup of MS patients and in combination with other diagnostic criteria, elevated levels of anti-SPAG16 Abs could be used as a biomarker for diagnosis. Furthermore, the pathologic relevance of anti-SPAG16 Abs was shown in vivo.

Optimization of High‐throughput Autoantibody Profiling for the Discovery of Novel Antigenic Targets in Rheumatoid Arthritis

A major focus in rheumatoid arthritis (RA) research is the identification of the antigens that are targeted by the joint‐directed autoimmune response. B cells and associated autoantibodies have been studied in RA to identify the antigenic targets and to discover RA‐associated autoantibodies which can be used as disease markers. This research indicated the heterogeneity of the autoantibody profile in RA and the large overlap in antibody specificities with other rheumatic diseases pointing toward the need for multiplexing to identify an RA‐associated autoantibody profile. The discovery of antibodies directed against cyclic citrullinated peptides (ACPA) has led to great advances in RA research. This finding generated novel autoantigen suspects in ACPA‐positive RA patients, which comprise approximately two‐thirds of the entire RA population, namely citrullinated peptides and/or proteins. One‐third of the RA patients, however, do not show ACPA, and it is now postulated that ACPA‐positive and ACPA‐negative RA are two different disease entities with different genetic associations, pathogenesis, and etiology. The analysis of autoantibodies in ACPA‐negative RA could provide insight into the identity of antigenic targets and markers for this disease subtype. We report here the optimization of an unbiased, high‐throughput autoantibody profiling procedure based on cDNA phage display for the detection of novel autoantibody targets in ACPA‐negative RA. The discovery of specific autoantibodies in this RA subtype could lead to great advances in the diagnosis of these patients and could provide clues regarding disease etiology and pathogenesis of ACPA‐negative RA.

Autoantibodies to two novel peptides in seronegative and early rheumatoid arthritis

OBJECTIVES Despite recent progress in biomarker discovery for RA diagnostics, still over one-third of RA patients-and even more in early disease-present without RF or ACPA. The aim of this study was to confirm the presence of previously identified autoantibodies to novel Hasselt University (UH) peptides in early and seronegative RA. METHODS Screening for antibodies against novel UH peptides UH-RA.1, UH-RA.9, UH-RA.14 and UH-RA.21, was performed in two large independent cohorts. Peptide ELISAs were developed to screen for the presence of antibodies to UH-RA peptides. First, 292 RA patients (including 39 early patients), 90 rheumatic and 97 healthy controls from UH were studied. Antibody reactivity to two peptides (UH-RA.1 and UH-RA.21) was also evaluated in 600 RA patients, 309 patients with undifferentiated arthritis and 157 rheumatic controls from the Leiden Early Arthritis Clinic cohort. RESULTS In both cohorts, 38% of RA patients were seronegative for RF and ACPA. Testing for autoantibodies to UH-RA.1 and UH-RA.21 reduced the serological gap from 38% to 29% in the UH cohort (P = 0.03) and from 38% to 32% in the Leiden Early Arthritis Clinic cohort (P = 0.01). Furthermore, 19-33% of early RA patients carried antibodies to these peptides. Specificities in rheumatic controls ranged from 82 to 96%. Whereas antibodies against UH-RA.1 were related to remission, anti-UH-RA.21 antibodies were associated with inflammation, joint erosion and higher tender and swollen joint counts. CONCLUSION This study validates the presence of antibody reactivity to novel UH-RA peptides in seronegative and early RA. This might reinforce current diagnostics and improve early diagnosis and intervention in RA.

Novel cerebrospinal fluid and serum autoantibody targets for clinically isolated syndrome

Limited information is available on the identity of antigens targeted by antibodies present in cerebrospinal fluid (CSF) of patients with clinically isolated syndrome (CIS). The aim of this study was to identify novel antigens for CIS and investigate their prognostic potential to predict conversion to multiple sclerosis (MS). We applied serological antigen selection (SAS) to identify antigens interacting with antibodies present in the pooled CSF from four CIS patients, who developed MS. Antibody reactivity towards CIS antigens identified by SAS was tested in CSF and serum from patients with CIS (n = 123/n = 108), MS (n = 65/n = 44), and other (inflammatory) neurological diseases (n = 75/n = 38) as well as in healthy control sera (n = 44). Using SAS, a panel of six novel CIS candidate antigens was identified. CSF antibody reactivity was detected in both CIS and relapsing‐remitting (RR) MS. Serum reactivity was significantly increased in CIS and RR‐MS as compared with controls (p = 0.03). For two antigens, the frequency of antibody‐positive patients was higher in CIS patients who converted to MS as compared with CIS patients without conversion. We identified novel CIS antigens to which antibody reactivity was primarily detected in CIS and RR‐MS as compared to controls. Possible prognostic potential could be demonstrated for two antigens.

Analysis of antibody reactivity in paired cerebrospinal fluid and serum of a relapsing remitting multiple sclerosis patient

Increasing evidence indicates an involvement of B cells in multiple sclerosis (MS). However, little is known about antigenic targets recognized by antibodies present in blood and cerebrospinal fluid (CSF) of MS patients. This study was therefore aimed at identifying the antigen reactivity of antibodies present in CSF and compares the identified antibody profile with that of the serum of the same patient using cDNA phage display. Selection rounds on paired CSF and serum of this patient identified 13 antigenic targets of which 5 were enriched by serum antibodies and 2 were identified by CSF antibodies. Interestingly, the six remaining antigenic targets were shown to be recognized by both CSF and serum antibodies. These findings point towards both common as well as distinct antibody profiles in CSF and serum of MS patients.

The Use of Phages and Aptamers as Alternatives to Antibodies in Medical and Food Diagnostics

Jaytry Mehta1,2, Bieke Van Dorst1,2, Lisa Devriese2 Elsa Rouah-Martin1,2, Karen Bekaert2, Klaartje Somers3, Veerle Somers3, Marie-Louise Scippo4, Ronny Blust1 and Johan Robbens1,2 1University of Antwerp, Department of Biology, Laboratory of Ecophysiology, Biochemistry and Toxicology, Groenenborgerlaan 171, 2020 Antwerp 2Institute for Agricultural and Fisheries research (ILVO), Ankerstraat 1, 8400 Oostende 3Hasselt University, Biomedical Research Institute, B-3590 Diepenbeek 4University of Liege, Food Sciences Department, B-4000 Liege Belgium