Immune Complexome Analysis Research Articles

Immune complexome analysis of a rich variety of serum immune complexes identifies disease-characteristic immune complex antigens in systemic sclerosis

Systemic sclerosis (SSc) is an autoimmune disease characterized by vascular endothelial dysfunction and skin fibrosis. Recently, the presence and pathogenic role of immune complexes (ICs) of SSc patients were reported. However, the identities of antigens in these ICs are unknown. Therefore, we examined ICs in the serum of SSc patients to elucidate SSc pathogenesis. In this study, IC concentrations in serum samples from SSc and systemic lupus erythematosus (SLE) patients were measured by C1q enzyme-linked immunosorbent assays; immune complex analysis was used for comprehensive identification and comparison of antigens incorporated into ICs (IC-antigens). The expression patterns of SSc-specific IC-antigens in skin sections were investigated by immunohistochemistry. Compared with SLE patients who developed disease because of IC deposition, SSc patients had a greater number of IC-antigens and a smaller difference in IC concentrations, suggesting that SSc pathogenesis is affected by the proteins present in ICs. In contrast, the IC concentration and number of IC-antigens did not significantly differ according to the clinical phenotype of SSc. We identified 478 IC-antigens in SSc patients, including multiple RNAP II-associated proteins that were targeted by antibodies previously associated with SSc pathogenesis. The most frequently detected RNAP II-associated protein, RNA polymerase II transcription subunit 30 (MED30), was strongly expressed at lesion sites and reportedly regulates endothelial differentiation. Therefore, increased expression of MED30 in lesions may have an antigenic effect, and MED30 function may be impaired or inhibited by IC formation. RNAP II-associated proteins may SSc pathogenesis through mechanisms such as the MED30 pathway.

Immune complexome analysis of serum samples from non-small-cell lung cancer patients identifies predictive biomarkers for nivolumab therapy

BackgroundImmune checkpoint inhibitors (ICIs) have achieved important outcomes in cancer treatment. However, current clinical biomarker tests are not suitable for some patients because they require tumor tissues and have poor predictive value for treatment responses. Therefore, the identification of biomarkers that enable screening tests in all patients is necessary. MethodsWe performed an immune complexome analysis of non-small cell lung cancer patients treated with nivolumab to comprehensively identify and compare antigens incorporated into immune complexes (IC-antigens) in serum samples from the responders (n = 15) and non-responders (n = 20). Additionally, combinations of IC-antigens characteristic to the responder group were evaluated by logistic regression analysis and receiver operating characteristics curves to examine their predictiveness for ICI treatment responses. ResultsThe combination of predictive biomarkers detected before treatment was profilin-1, purine nucleoside phosphorylase, alpha-enolase, and nucleoside diphosphate kinase A [p = 0.0043, odds ratio = 2.26, 95% confidence interval (CI) = 1.19–4.28, area under the curve = 0.76]. The combination of predictive biomarkers detected after treatment was peptidyl-prolyl cis–trans isomerase A, ubiquitin-like modifier-activating enzyme 1, complement component C8 beta chain, and apolipoprotein L1 (p = 0.0039, odds ratio = 2.56, 95% CI = 1.25–5.23, area under the curve = 0.77). ConclusionCombinations of serum IC-antigens may predict the therapeutic effect of nivolumab in non-small cell lung cancer patients.

Investigation of immune complexes formed by mitochondrial antigens containing a new lipoylated site in sera of primary biliary cholangitis patients.

Primary biliary cholangitis (PBC) is characterized by the presence of serum anti-mitochondrial autoantibodies (AMAs). To date, four antigens among the 2-oxo-acid dehydrogenase complex family, which commonly have lipoyl domains as an epitope, have been identified as AMA-corresponding antigens (AMA-antigens). It has recently been reported that AMAs react more strongly with certain chemically modified mimics than with the native lipoyl domains in AMA-antigens. Moreover, high concentrations of circulating immune complexes (ICs) in PBC patients have been reported. However, the existence of ICs formed by AMAs and their antigens has not been reported to date. We hypothesized that AMAs and their antigens formed ICs in PBC sera, and analyzed sera of PBC and four autoimmune diseases (Sjögren's syndrome, systemic lupus erythematosus, systemic scleroderma, and rheumatoid arthritis) using immune complexome analysis, in which ICs are separated from serum and are identified by nano-liquid chromatography-tandem mass spectrometry. To correctly assign MS/MS spectra to peptide sequences, we used a protein-search algorithm that including lipoylation and certain xenobiotic modifications. We found three AMA-antigens, the E2 subunit of the pyruvate dehydrogenase complex (PDC-E2), the E2 subunit of the 2-oxo-glutarate dehydrogenase complex (OGDC-E2) and dihydrolipoamide dehydrogenase binding protein (E3BP), by detecting peptides containing lipoylation and xenobiotic modifications from PBC sera. Although the lipoylated sites of these peptides were different from the well-known sites, abnormal lipoylation and xenobiotic modification may lead to production of AMAs and the formation ICs. Further investigation of the lipoylated sites, xenobiotic modifications, and IC formation will lead to deepen our understanding of PBC pathogenesis.

Immune complexome analysis reveals the presence of immune complexes and identifies disease-specific immune complex antigens in saliva samples from patients with Sjögren's syndrome

Sjögren's syndrome (SS) is a chronic autoimmune disease that mainly damages the salivary and lacrimal glands. Immune complex (IC) formation triggers local inflammation through IC deposition and decreased antigen function. Some ICs can leak from the lesion and into the saliva, but no salivary ICs have been reported to date. We used immune complexome analysis to comprehensively identify antigens incorporated into IC (IC-antigens) in saliva samples from patients with SS (n=9) or with xerostomia (n=7). Neutrophil defensin 1 (67%), small proline-rich protein 2D (67%), myeloperoxidase (44%), neutrophil elastase (44%), cathepsin G (33%), nuclear mitotic apparatus 1 (33%) and phosphatidylinositol 4-phosphate 3-kinase C2 domain-containing subunit gamma (33%) were identified as new IC-antigens specifically and frequently detected in the saliva of SS patients. Of these, neutrophil defensin 1, myeloperoxidase, neutrophil elastase and cathepsin G are neutrophil intracellular proteins, which suggests that repeated destruction of neutrophils due to abnormal autoimmunity may be involved in the pathogenesis of SS. We also analyzed serum samples from three SS patients. There was little overlap of IC-antigens between two of the samples (fewer than 30% of the IC-antigens in the saliva samples), suggesting that many ICs are formed locally and independently of the circulation. In addition, we found that four SS-specific salivary antigens show sequence homology with several proteins of oral microbiomes but no antigen has homology with Epstein-Barr virus proteins. The homology between some IC-antigens and oral microbiome proteins may indicate the impact of oral infection on local autoimmunity through molecular mimicry theory.

Detection of Novel Urine Markers Using Immune Complexome Analysis in Bladder Cancer Patients: A Preliminary Study.

Little is known on urine biomarkers that are associated with malignant behavior in patients with bladder cancer (BC). Our aim was to identify BC-related factors in urine samples using our original method "immune complexome analysis", based on detecting the immune complex (IC). Immune complexome analysis was performed using urine samples from 97 BC patients, including 67 with non-muscle invasive BC (NMIBC). Eight IC-antigens were recognized as candidates for BC-related factors from 20,165 proteins. IC-serum albumin, -fibrinogen γ chain, -hemoglobin subunit α, -hemoglobin subunit β, -ceruloplasmin, and fibrinogen β chain were significantly associated with either pathological features and/or outcome. IC-ceruloplasmin was most widely associated with pathological features in all BC patients and lamina propria invasion and urinary tract recurrence in NMIBC. Based on detection of IC-antigens it was demonstrated that six IC-antigens, especially IC-ceruloplasmin, are potential urine biomarkers in BC.

Optimization of pH Elution Conditions in Immune Complexome Analysis for Comprehensive Identification of Immune Complex Antigens.

The identification of antigens incorporated into immune complexes (IC-antigens) is important for studying the pathophysiology of immunological diseases. Immune complexome analysis identifies IC-antigens by analyzing ICs collected from biological fluids by IC-capturing beads. In this study, we optimized the method to improve its comprehensiveness while maintaining selectivity for IC-antigens by comparing the number of identified peptides (model IC experiment) or proteins (human pooled serum) eluted from Protein G beads using different pH solutions (pH 2.0 - 11.0).

Comprehensive immune complexome analysis detects disease-specific immune complex antigens in seminal plasma and follicular fluids derived from infertile men and women

BackgroundAutoimmune reactions and subsequent inflammation may underlie spermatogenic dysfunction and endometriosis-related infertility. The aim of this study is to identify disease-specific antigens in immune complexes (ICs) in seminal plasma (SP) and in follicular fluid (FF). MethodsImmune complexome analysis, in which nano-liquid chromatography-tandem mass spectrometry is employed to comprehensively identify antigens incorporated into ICs in biological fluids, was performed for specimens collected from infertile couples undergoing assisted reproduction. Forty-two male patients consisting of subjects with oligozoospermia (n = 6), asthenozoospermia (n = 8), and normal semen analysis (n = 28). Fifty-eight female patients consisting of subjects with ovarian endometriosis (n = 10) and control women without disease (n = 48). ResultsFour disease-specific antigens were identified in subjects with oligozoospermia, while five disease-specific antigens were detected in subjects with asthenozoospermia, some of which are involved in sprematogenesis. Eight antigens were detected only in subjects with endometriosis. ConclusionFunctional characteristics of disease-specific antigens were found to correspond to the pathogenesis of male and female infertility. The formation of ICs may contribute to spermatogenic dysfunction and endometriosis-related infertility via loss of function of the related proteins. Immune complexome analysis is expected to be a valuable tool for the investigation of novel diagnostic methods and treatment strategies for infertility.

Clinical Pharmaceutical Research Based on New Proteome Analysis Based on Chromatographic Separation

Comprehensive identification of antigens in immune complexes (IC-antigens) is beneficial to provide insights into pathophysiology and could form the basis for novel diagnostic and treatment strategies for many immune-related diseases. Immune complexome analysis is a method for comprehensively identifying and profiling IC-antigens in biological fluids (such as serum and cerebrospinal fluid). We applied this strategy to the analysis of circulating ICs in autoimmune diseases (rheumatoid arthritis, Sjögren's syndrome, systemic scleroderma, and systemic lupus erythematosus), infectious diseases, and cancers. Fluorogenic derivatization-liquid chromatography-tandem mass spectrometry (FD-LC-MS/MS) consists of fluorogenic derivatization of proteins, followed by HPLC of the derivatized proteins, isolation of the proteins differentially expressed in a certain group, enzymatic digestion of the isolated proteins followed by LC-tandem MS using a database-searching algorithm for protein identification. We have applied this method to understand the cardioprotective effect of pre-administration of docetaxel in adriamycin/docetaxel combination anti-cancer therapy, and the cellular processes that are affected by non-steroidal anti-inflammatory drugs (NSAIDs) in mouse stomach tissue during ulcer formation.

Identification of Antigens in Immune Complexes.

Comprehensive identification and profiling of antigens in immune complexes (IC-antigens) is useful to provide insights into pathophysiology and could form the basis for novel diagnostic and treatment strategies for many immune-related diseases. Immune complexome analysis is the method for comprehensively identifying and profiling IC-antigens in biological fluids (such as serum and cerebrospinal fluid). Here, we describe an IC-antigen detection method; specifically, ICs in biological fluids are captured by using protein G- or protein A-coated beads, are subjected to papain-digestion, elution, and tryptic digestion, and are analyzed by nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS).

Selective and Sensitive Mass Spectrometric Identification of Immune Complex Antigens in Cerebrospinal Fluid.

Comprehensive identification of immune complex antigens (IC-antigens) in cerebrospinal fluid (CSF) is useful to provide insights into pathophysiology and could form the basis for novel diagnostic and treatment strategies for central nervous system autoimmune diseases and other neurological disorders. Immune complexome analysis is the method for comprehensively identifying IC-antigens in biological fluids (such as serum and CSF). Here, we describe IC-antigens detection method; specifically, ICs in CSF are captured and are subjected to papain-digestion elution and tryptic digestion, and are analyzed by nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS).

Similarity of autoimmune diseases based on the profile of immune complex antigens.

Since immune complexes (IC) are a direct product of immune response through the binding between antigen and antibody, the profile of antigen-associated ICs may depend on each autoimmune disease. In this report, we examined the similarity of four neurological autoimmune diseases, Alzheimer's disease and healthy donors, and seven connective tissue diseases based on the profiling of IC-associated antigens which were previously or recently identified by immune complexome analysis of cerebrospinal fluid (CSF) or serum samples. The similarity between each pair of two diseases was assessed by correlation coefficients as distance matrix with the use of detection frequency (i.e., the percentage of patients who were positive for a certain antigen in each disease) of each IC-associated antigen in a certain disease. Among 15 pairs of five diseases and healthy control examined by the analysis of CSF samples, only 1 pair of neuropsychiatric systemic lupus erythematosus and multiple sclerosis corresponds to the higher correlation value (r = 0.73) than 0.7. On the other hand, among seven connective tissue diseases examined by the analysis of serum samples, 12 of 21 pairs show high correlation value (r > 0.70). Our finding suggested that the profile of IC-associated antigens identified by immune complexome analysis of CSF samples can be useful for evaluating the similarity of neurological autoimmune diseases; however, not by that of serum samples.

Selective, sensitive and comprehensive detection of immune complex antigens by immune complexome analysis with papain-digestion and elution

Comprehensive identification and profiling of antigens in immune complexes (ICs) in biological fluids, such as serum and cerebrospinal fluid, is useful for developing early diagnostic markers and specific treatments for many diseases. We have developed a method, designated “immune complexome analysis”, to comprehensively identify the antigens in ICs. In this method, we first purify ICs from biological fluid by using Protein G- or Protein A-coated beads, then these ICs are subjected to tryptic digestion on the beads and subsequent analysis using nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS). We previously used this method to find specific antigens in circulating ICs (CIC-antigens) in serum for autoimmune diseases, infectious disease and cancers. However, this method detects not only CIC-antigens but also antibodies and proteins bound non-specifically to the beads, which restricts the detection of minor peptides released by the digestion of CIC-antigens whose amounts are generally much less than antibodies and the proteins. To selectively detect CIC-antigens with enhanced sensitivity, in this study we compared three methods (Method A, direct tryptic digestion on the beads; Method B, low-pH elution and tryptic digestion; Method C, papain-digestion, elution, and tryptic digestion) and examined which method selectively elutes CIC-antigens from CICs bound to the beads and selectively detects CIC-antigens using nano-LC-MS/MS. We also compared three types of CIC-capturing beads (Protein G-coated magnetic beads, Protein A-coated magnetic beads and Proceptor™-sepharose beads) to examine if parallel use of these beads aids the comprehensive detection of CIC-antigens in immune complexome analysis. Comparison showed that Method C provided the most selective and sensitive detection of CIC-antigens, without interference by antibodies and proteins non-specifically bound to the beads. In addition, using three types of beads allowed the examination of a wide range of CIC-antigens in immune complexome analysis. Therefore, combining Method C with three types of beads should allow the selective and sensitive identification of IC-antigens present in biological fluids from patients with a variety of diseases. The identification of IC-antigens may lead to the development of diagnostic methods and protocols for specific treatments for these diseases.

Circulating immune complexome analysis identified anti-tubulin-α-1c as an inflammation associated autoantibody with promising diagnostic value for Behcet's Disease.

BackgroundBehcet’s disease (BD) is a chronic, multisystem-involved vasculitis and its pathogenesis remains elusive. No specific serological markers for BD diagnosis have been established. Identification of novel diagnostic biomarkers will be helpful in timely diagnostic and treatment for Behcet’s disease.ObjectiveTo screen novel autoantigens or autoantibodies with potential diagnostic value in circulating immune complexes (CICs) from BD patients.MethodsA proteomic strategy for immune complexome analysis was developed, in which CICs were separated from serum sample of 10 BD patients and 10 healthy controls and then subjected to Orbitrap mass spectrometry for autoantigen profiling. Anti-tubulin-α-1c antibody levels were further determined by enzyme-linked immunosorbent assay (ELISA) in sera of patients with BD, systemic lupus erythematosus (SLE), recurrent aphthous ulcers (RAU), ANCA associated systemic vasculitis (AASV), Takayasu's arteritis (TA) and 59 healthy controls.ResultA total of 17 potential antigens were identified in CICs from BD patients, but not in HC. The autoantibody to one of the identified antigens, tubulin-α-1c, was significantly increased in BD patients compared with that in healthy and disease controls. The sensitivity and specificity of tubulin-α-1c antibody in the diagnosis of BD in this study were 61.36% and 88.4%, respectively. Further analysis demonstrated that anti-tubulin-α-1c was associated with complications of deep venous thrombosis and erythema nodosum in BD. The levels of anti-tubulin-α-1c were also significantly correlated with the BD inflammation and disease activity markers ESR, CRP and BVAS.ConclusionAnti-tubulin-α-1c antibody is a promising biomarker in diagnosis and severity evaluation of BD and in indicating the risk of deep venous thrombosis and erythema nodosum. The immune complexome analysis by proteomic CIC autoantigen screening is a feasible way of identifying novel biomarkers in BD.

Proteomic approach to profiling immune complex antigens in cerebrospinal fluid samples from patients with central nervous system autoimmune diseases

BackgroundImmune complexes (ICs) may clearly reflect immunological abnormalities caused by disease, especially for autoimmune diseases. Although ICs have been detected in cerebrospinal fluid (CSF) from patients with CNS autoimmune diseases, identities of antigens in such ICs have not been comprehensively determined. MethodsWe used immune complexome analysis, in which nano-liquid chromatography-tandem mass spectrometry is employed to comprehensively identify antigens incorporated into ICs in biological fluids, to characterize ICs in CSF samples from patients with CNS autoimmune diseases, and to find disease-specific IC antigen to a certain CNS autoimmune disease. Also, we compared the IC antigens we identified with the reported CSF proteome or with the published plasma proteome to examine if the method is distinguished from the conventional CSF proteome analysis. ResultsWe identified 176 antigens in 78 CSF samples. We then assessed the overlaps among these antigens, the CSF proteome, and the plasma proteome; 140 of the 176 antigens were found to be exclusively detected by our method. Notably, IC-associated suprabasin in CSF was 100% specific to neuropsychiatric systemic lupus erythematosus (NPSLE). ConclusionsThis report is the first to comprehensively identify the antigens incorporated into ICs in CSF. There was limited overlap between the antigens we identified and the CSF proteome or the plasma proteome; therefore, our method can be distinguished from the conventional CSF proteome analysis. Although the sensitivity of disease-specific IC-antigens detected in immune complexome analysis screening, the sensitivity may be improved by developing an ELISA method specifically for detecting the ICs. Immune complexome analysis of CSF may be a new and promising path to biomarker discovery for diagnosis and study for CNS autoimmune diseases.

Immune complexome analysis of antigens in circulating immune complexes from patients with acute cellular rejection after living donor liver transplantation

Liver transplantation is a life-saving procedure for many end-stage liver diseases; however, rejection after transplantation is still occurs in some recipients. The most common form of rejection is T cell-related acute cellular rejection (ACR). To understand the mechanism of rejection, it is necessary to identify immune targets. Since the development of B cell immunity depends upon concordant T cell immunity, we hypothesized that rejection-specific antigens in circulating immune complexes (CICs) may be present in the sera of recipients experiencing rejection, and as such, may be useful as diagnostic biomarkers for ACR. The purpose of this study was to investigate rejection-specific antigens in CICs (CIC-antigens) in serum of ACR patients. We applied immune complexome analysis, in which CICs are separated from whole serum and then subjected to direct tryptic digestion and identification of CIC-antigens by nano-liquid chromatography-tandem mass spectrometry, to sera of 32 living donor liver transplant recipients (10 recipients experienced ACR and the others did not experience). CIC-antigens were compared between rejection and non-rejection groups to elucidate those that were only detected in the rejection group. We identified 11 CIC-antigens that were only detected in patients who experienced rejection, 4 of which (thrombospondin-1, apolipoprotein E, apolipoprotein C-III, and complement factor H) were only detected during ACR.

Immune complexome analysis reveals the specific and frequent presence of immune complex antigens in lung cancer patients: A pilot study.

Cancer immunotherapies such as antibodies targeting T cell checkpoints, or adaptive tumor-infiltrating lymphocyte (TIL) transfer, have been developed to boost the endogenous immune response against human malignancies. However, activation of T cells by such antibodies can lead to the risk of autoimmune diseases. Also, the selection of tumor-reactive T cells for TIL relies on information regarding mutated antigens in tumors and does not reflect other factors involved in protein antigenicity. It is therefore essential to engineer therapeutic interventions by which T cell reactivity against tumor cells is selectively enhanced (i.e., "focused cancer immunotherapy") based on tumor antigens that are specifically expressed in the tumor of a certain cancer and in many patients with this cancer. Immune complexes (ICs) are the direct and stable products of immunological recognition by humoral immunity. Here, we searched for tumor-specific IC antigens in each of five cancers (lung (n = 28), colon (n = 20), bladder (n = 20), renal cell (n = 15) and malignant lymphoma (n = 9)), by using immune complexome analysis that comprehensively identifies and profiles the constituent antigens in ICs. This analysis indicated that gelsolin and inter-alpha-trypsin inhibitor heavy chains were specifically and frequently detected (at a frequency higher than 80%), and that phosphoproteins (VENTX, VCIP135) were also specifically present in the ICs of lung cancer patients. Immune complexome analysis successfully identified several tumor-specific IC antigens with high detection frequency in lung cancer patients. These specific antigens are required to validate the clinical benefit by further analysis using a large number of patients.

Proteomic profile of circulating immune complexes in chronic Chagas disease

Immune complexes (ICs) are the direct and real-time products of humoral immune responses. The identification of constituent foreign or autoantigens within ICs might bring new insights into the pathology of infectious diseases. We applied immune complexome analysis of plasma to the study of Chagas disease caused by Trypanosoma cruzi. Twenty seropositive plasma samples including cardiac and/or megacolon determinate patients (n = 11) and indeterminate (n = 9) were analysed along with 10 seronegative individuals to characterize the antigens bound to circulating ICs. We identified 39 T. cruzi antigens and 114 human autoantigens specific to patients with Chagas. Among those antigens, two T. cruzi antigens (surface protease GP63, glucose-6-isomerase) and six human autoantigens (CD180 antigen, ceruloplasmin, fibrinogen beta chain, fibrinogen beta chain isoform 2 preprotein, isoform gamma-A of fibrinogen γ-chain, serum paraoxonase) were detected in more than 50% of the patients tested. Human isoform short of complement factor H-related protein 2 and trans-sialidase of T. cruzi were more frequently found in the indeterminate (5/9 for both) compared with in the determinate Chagas (0/11, P = 0·046 for human, 1/11, P = 0·0498 for T. cruzi). The immune complexome could illustrate the difference of immune status between clinical forms of chronic Chagas disease.

Immunoproteomics technologies in the discovery of autoantigens in autoimmune diseases.

Proteomics technologies are often used for the identification of protein targets of the immune system. Here, we discuss the immunoproteomics technologies used for the discovery of autoantigens in autoimmune diseases where immune system dysregulation plays a central role in disease onset and progression. These autoantigens and associated autoantibodies can be used as potential biomarkers for disease diagnostics, prognostics and predicting/monitoring drug responsiveness (theranostics). Here, we compare a variety of methods such as mass spectrometry (MS)-based [serological proteome analysis (SERPA), antibody mediated identification of antigens (AMIDA), circulating immune complexome (CIC) analysis, surface enhanced laser desorption/ionization-time of flight (SELDI-TOF)], nucleic acid based serological analysis of antigens by recombinant cDNA expression cloning (SEREX), phage immunoprecipitation sequencing (PhIP-seq) and array-based immunoscreening (proteomic microarrays), luciferase immunoprecipitation systems (LIPS), nucleic acid programmable protein array (NAPPA) methods. We also review the relevance of immunoproteomic data generated in the last 10 years, with a focus on the aforementioned MS based methods.

Screening for Potential Drug Targets by Comprehensive Identification of Disease-specific Antigens Incorporated into Immune Complexes in Patients with Immunological Diseases

Our immune system resembles an intelligent security system, which continually monitors for foreign invaders (infectious diseases); however, in some cases, this system recognizes healthy parts as something harmful or foreign and then attacks them (autoimmune diseases). The defining characteristics of an autoimmune disease are the existence of T- and B-cell autoreactivity against self proteins (autoantigens). In addition to autoimmune diseases, aberrant host proteins that occur during a certain state of diseases (e.g., cancer) can be recognized as an autoantigen. Immune complexes (ICs) are produced during an immune response and may reflect some aspects of an ongoing immune response. Therefore, the identity of antigens incorporated into ICs provides the information that in the future may aid in the development of diagnosis and treatment strategies for autoimmune diseases, infection, cancer, and transplantation therapy, and this information might be more relevant than information on free antigens. We developed a novel proteomic strategy (immune complexome analysis) in which ICs are separated from serum, followed by direct tryptic digestion and nano-liquid chromatography-tandem mass spectrometry for the identification and profiling of antigens in circulating ICs. We applied this strategy to the analysis of circulating ICs in autoimmune diseases (rheumatoid arthritis, anti-neutrophil cytoplasmic antibody-associated vasculitis, Takayasu's arteritis, mixed connective tissue disease, dermatomyositis, Sjögren's syndrome, systemic scleroderma, and systemic lupus erythematosus), infectious diseases and cancers. In this review, we mainly discuss the results for autoimmune diseases.

Immune complexome analysis of antigens in circulating immune complexes isolated from patients with IgG4-related dacryoadenitis and/or sialadenitis

Objectives. IgG4-related disease (IgG4-RD) is characterized by various serological abnormalities. Some patients with IgG4-RD present with hypergammaglobulinemia, hypocomplementemia, and autoantibodies recognizing rheumatoid factors and nuclear factors. However, whether IgG4-RD is an autoimmune disease remains unclear.Methods. Here, we used immune complexome analysis to comprehensively identify constituent antigens of circulating immune complexes isolated from 10 patients with IgG4-related dacryoadenitis and/or sialadenitis (IgG4-RDS) which is one condition associated with IgG4-RD.Results. We detected each of 125 distinct antigens in independent samples from two or more patients with IgG4-RDS. Of them, 17 antigens were found to be specific to patients with IgG4-RDS by comparing 125 antigens with all the antigens found in other connective tissue diseases (antineutrophil cytoplasmic antibody-associated vasculitis, Takayasu's arteritis, mixed connective tissue disease, dermatomyositis, Sjögren's syndrome, systemic scleroderma, and systemic lupus erythematosus) or healthy donors. The number of disease-specific antigens associated with IgG4-RDS was comparable to those autoimmune diseases.Conclusions. Studies of the 17 IgG4-RDS-specific antigens might lead to a better understanding of the pathogenesis of IgG4-RD, but further study of the prevalence of these CIC-associated antigens that involves a selective and sensitive assay will be needed to determine their potential as diagnostic or pathogenic biomarkers.