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The systemic autoimmune diseases are a broad category of conditions characterized by chronic inflammation with a proven or suspected autoimmune etiology. Autoimmunity results from loss of immune system tolerance, leading to reactions against self-proteins. In many cases, autoantibodies are produced as part of this process. In some cases, these autoantibodies have well-defined antigen specificities and are clearly pathogenic, playing a major role in the disease process. In some diseases, the production of autoantibodies is hypothesized to be more a consequence of the disease. Lastly, for some conditions, a disease-associated autoantibody has yet to be identified.
Across various autoimmune diseases, studies have consistently demonstrated that autoantibody production can occur years before development of clinical symptoms. This has led to new models in which a combination of environmental and genetic “hits” leads to loss of tolerance, resulting in a stage of “preclinical” autoimmunity. Although initially asymptomatic, the ongoing inflammation process, driven by constant autoantigen exposure, will eventually lead to tissue damage and manifestations of clinical symptoms associated with a specific disease process.
The central role of the clinical laboratory in the diagnosis of the systemic autoimmune diseases is antigen-specific autoantibody serology. This chapter will begin with a discussion of autoimmune processes and autoantibody methodologies, with a focus on challenges related to this type of testing. This will be followed by presentation of the most current information on the diagnosis, epidemiology, and laboratory testing for the antinuclear antibody-associated rheumatic diseases, rheumatoid arthritis, antiphospholipid syndrome, and the systemic vasculitides.
Since most patients with autoimmune disease develop symptoms well after the abnormal immune reactions begin, it is often difficult to pinpoint the factors responsible for the initiation of disease. The use of animal models has greatly influenced our understanding of some immunologic mechanisms; however, there are in fact few models of spontaneous autoimmunity that reliably mimic the human disorders. Nevertheless, studies using existing models, as well as genetic and other analyses, are beginning to reveal some of the abnormalities that account for the early steps in the autoimmune reactions. Systemic autoimmune diseases, like many other complex disorders, are believed to arise from a combination of immunologic, genetic, and environmental factors.
Autoimmune reactions reflect disproportionate responses between effector and regulatory arms of the immune system which typically develop through stages of initiation and propagation, and often show phases of resolution (indicated by clinical remissions) and exacerbations (indicated by symptomatic flares). The fundamental underlying mechanism of autoimmunity is defective elimination and/or control of self-reactive lymphocytes, a phenomenon referred to as immune tolerance. The immune system has evolved to discriminate between “foreign” and “self.” This property enables the immune system to confront “foreign” entities, such as pathogens, and maintain tolerance toward one’s own tissues (“self”). Foreign entities perceived as being dangerous to the host evoke a well-orchestrated series of immunologic events that enable the immune response to effectively purge or contain the foreign entity in an effort to try and minimize morbidity in the host. In healthy, immunocompetent individuals, the immune response operates within a well-defined framework of checks and balances and when this system of checks and balances goes amiss, the result is immunologic anarchy that can include a breakdown of immune tolerance to “self,” which then allows the immune response to attack the host’s own tissues (autoimmunity).
The concept of immune tolerance was first proposed by Burnet and Fenner in 1949, and experimentally demonstrated by Peter Medawar in 1953. , The pivotal role that this concept and original experimental proof played in enhancing our fundamental understanding of the immune system is evident by the fact that Burnet and Medawar were awarded the Nobel Prize in 1960.
The major players in the realm of immune tolerance are the T cells and the B cells and the two main tenets that underpin the concept of immune tolerance are “central tolerance” (which is established in the bone marrow for the B cells and in the thymus for the T cells) and “peripheral tolerance,” which as the name suggests is enforced in the peripheral tissues. Central tolerance can be characterized as a phase of immunologic instruction that all immature B cells and T cells have to undergo as part of their developmental program, where they are trained to distinguish “foreign” from “self” before they mature and are subsequently released into the peripheral tissues to execute their immune-surveillance functions. Peripheral tolerance represents an extra layer of checks and balances in the peripheral tissues that prevents errant T cells and B cells that might have escaped central tolerance, from behaving abnormally and attacking “self” tissues.
A significant number of self-reactive thymus-derived (T-)lymphocytes requiring defined avidity for antigen are purged in the thymus. Thymic deletion of self-reactive T cells for ubiquitously expressed self-antigens as a concept is very easy to understand. However, this has not been the case for deletion of T cells bearing receptors directed to antigens restricted to particular tissues.
Immature T cells migrate from the bone marrow to the thymus where they undergo thymic education as part of their developmental program. The thymus is an encapsulated, lobular organ that lies in the anterior mediastinum behind the sternum and is histologically comprised of an outer cortex and an inner medulla.
The cortex is populated with cortical thymic epithelial cells that are ectodermal in origin, as well as some bone marrow–derived macrophages along with the immature T cells. It is in the cortex where immature T cells undergo “positive selection,” wherein only the T cells that recognize self-peptides presented by human leukocyte antigen (HLA) molecules expressed on the surface of cortical antigen presenting cells (APCs) with moderate to high avidity are selected to move forward into the medulla. The T cells that display weak interactions with the self-peptide/HLA complexes in the cortex are eliminated at this stage as they are deemed unfit for immune surveillance which requires optimal recognition of foreign peptides expressed in the context of self-HLA molecules in the peripheral tissues.
The medulla is comprised of medullary thymic epithelial cells that are endodermal in origin, bone marrow–derived macrophages and dendritic cells, as well as specialized structures called “Hassall’s corpuscles” that are sites of cellular destruction. The positively selected immature T cells that enter the medulla from the cortex then undergo “negative selection.” Negative selection serves to weed out potentially autoreactive T cells by culling immature T cells that display high avidity for self-peptide/HLA complexes expressed on the surface of medullary APC. , , A notable exception to this rule is the thymic selection of regulatory T cells (Tregs) that go on to help enforce peripheral tolerance after their egress from the thymus. Treg development in the thymus requires high-avidity interactions with self-peptide-HLA complexes on the surface of medullary thymic epithelia cells and the presence of IL-2.
Self-reactive clones arise during the process of generating B and T receptor diversity
Two main mechanisms of immunologic tolerance
Central and peripheral
Central
Ensures that B and T cells that emerge into peripheral tissue react only with foreign antigens through a process of negative selection.
Peripheral
Additional mechanisms must be available for maintaining self-tolerance once cells enter B- and T-cell compartments.
For many years a dilemma in the field of tolerance centered on how negative selection was able to ensure the elimination of T cells that might react against the multitude of tissue-specific antigens present in the body. The discovery of AIRE ( A uto I mmune RE gulator), a transcription factor that induces ectopic expression of tissue-specific antigens within the thymic medulla has helped to resolve part of this puzzle. , Patients who are deficient in AIRE suffer from a syndrome characterized by autoimmune polyendocrinopathy, candidiasis, and ectodermal dysplasia, thus providing proof-of-principle regarding the critical role it plays in tolerance. Recent discoveries have also highlighted the role of FezF2 that can also regulate thymic medullary expression of tissue-specific antigens independently of AIRE. Furthermore, the identification of patients with combined hypomorphic and activating mutations in the T-cell signaling protein ZAP70, who display prominent autoimmune features, also suggest that alterations in T-cell signaling thresholds may disrupt the integrity of the negative-selection process in the thymus thereby potentially predisposing the host to autoimmunity.
Finally, immunologic evidence obtained from patients who have undergone thymic transplantation, where HLA matching between donor and recipient is not routinely performed, suggest that the processes of positive and negative selection may be more nuanced than prevailing dogma might suggest.
Silencing autoreactive T cells in the periphery is required as a back-up mechanism to regulate autoreactive T cells that escape central tolerance. This can involve T-cell intrinsic adaptive features that recalibrate signaling cascades within T cells in the face of chronic stimulation with self-antigens. Examples of such adaptive tolerance include reduced ability to mobilize intra-cellular calcium and transcription factors downstream of T-cell receptor (TCR) engagement, and re-setting the balance between kinases and phosphatases to perturb the positive signaling machinery. Additionally, potentially autoreactive T cells can also upregulate inhibitory co-receptors such as cytotoxic T-lymphocyte associated protein 4 (CTLA-4), programmed cell death 1 (PD-1), and the T-cell immunoglobulin mucin (TIM) family which elevates their activation threshold. Indeed, polymorphisms in the CTLA-4 locus have been associated with autoimmune endocrine disorders. In addition to these T-cell intrinsic mechanisms, the presence of Tregs provides an additional layer of control. As indicated above, natural Tregs are generated in the thymus and co-express CD4, CD25, and the transcription factor, Forkhead box P3 (FoxP3). Tregs can also be induced to develop from conventional naïve CD4 T cells in the periphery in the presence of certain cytokines such as transforming growth factor β (TGFβ). The importance of Tregs in suppressing autoimmune responses is highlighted in patients who harbor mutations in the FOXP3 locus as they suffer from an X-linked disorder featuring immunodeficiency, polyendocrinopathy, and enteropathy. The mechanisms that Tregs employ to dampen responses of autoreactive T cells can include CTLA-4 mediated trans-endocytosis or trogocytosis of co-stimulatory B7 molecules from the surface of professional APCs which impedes the B7-induced co-stimulatory activation signals directed to CD28 on the surface of effector T cells. There is also evidence that Tregs can limit the availability of IL-2 to other effector T cells, as well as elaborate immunosuppressive cytokines, such as TGFβ and IL-10, that bind to their cognate receptors expressed on the surface of effector T cells to attenuate effector T-cell responses. , Other cellular subsets that may display regulatory potential, such as natural killer T (NKT) cells and γδ T cells, have also been reported to curb disease progression in type I diabetes (T1D), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE). ,
Autoreactive B cells generate antibodies that can directly affect the function of their target molecules or form immune complexes (ICs) with their targets which can deposit in various organs and stimulate complement and tissue-damaging inflammatory myeloid cells via Fc-receptors (FcRs) and/or Toll-like receptors (TLRs) such as TLR-7/8/9, that can recognize nucleic acids bound to autoreactive antibodies. Serologic evidence of autoimmune responses often precedes the development of clinically evident disease by many years suggesting that tolerance checkpoints may be compromised early in the pathology of the disease. ,
The first phase of instruction that is imparted to immature, developing B cells to help them discriminate “self” from “foreign” occurs in the bone marrow. B-cell intrinsic defects in the genes that encode for molecules associated with the B-cell receptor (BCR) and TLR pathways such as Bruton’s tyrosine kinase (BTK), adenosine deaminase (ADA), Wiskott-Aldrich syndrome protein (WASP), myeloid differentiation primary response gene 88(MyD88), interleukin 1 receptor-associated kinase 4 (IRAK-4), transmembrane activator and CAML interactor (TACI), and activation-induced cytidine deaminase (AID) impair central tolerance. Under normal circumstances, potentially autoreactive B-cell clones experience one of three different fates: clonal deletion/death, functional silencing/anergy, and “receptor editing.” Receptor editing involves an additional round of V(D)J gene segment recombination mediated by recombinase-activating genes (RAG) to replace the potentially autoreactive BCR. Recent studies involving a subset of RA patients have revealed that newly generated, circulating, naïve B cells display defects in such secondary recombination events due to aberrant activity of ataxia-telangiectasia mutated (ATM) protein that promotes repair of double-stranded DNA (dsDNA) breaks mediated by the RAG proteins. Moreover, in contrast to healthy control donors, patients with certain autoimmune disorders display marked diversity in their immunoglobulin (Ig) heavy chain variable region gene usage indicating dysregulated B-cell development. , Data from other carefully executed studies that have also evaluated circulating new emigrant/transitional B cells for the expression of autoreactive and/or polyreactive antibodies suggest that central tolerance checkpoints may not function optimally in untreated patients suffering from SLE, RA, T1D, Sjögren syndrome (SjS), myasthenia gravis (MG), and neuromyelitis optica spectrum disease (NMOSD). Entry of these autoreactive naïve B cells into the circulation can contribute to an environment that is permissive to the development of autoimmunity following presentation of self-antigens to circulating, autoreactive T cells as a result of ensuing somatic hypermutation of the BCR induced by this crosstalk. Multiple lines of evidence indicate that CD19 hi CD27 − CD21 − /lo B cells are present at high frequencies in the blood of patients with several autoimmune diseases. The presence of this subset of B cells in the circulation of RA patients correlates with an increased prevalence of erosive joint disease, and similar elevations of this B-cell subset in SLE patients are often associated with more severe autoimmune manifestations. , Genome wide association studies (GWAS) have also identified the 1858T polymorphism in the PTPN22 gene as a prominent genetic risk factor for the development of RA, T1D, and SLE. , This polymorphism can operate in a dominant-negative fashion and is associated with disruptions in BCR and TLR signaling pathways and tolerance checkpoints. Indeed, preliminary data suggest that decreased TLR9 function in SLE-associated B cells may prevent deletion of autoreactive B cells that normally occurs following cross-linking of the BCR and TLR9 with dsDNA. ,
The majority of the naïve mature B cells that enter the circulation from the bone marrow require CD4 T-cell help in order to generate isotype-switched antibodies. In the absence of such help, the activation process induced following antigen exposure is often short lived and abortive, resulting in premature death of the B cell. This property of reliance on T-cell help serves to limit autoreactive B-cell activation, as it requires the presence of both the B cell and a CD4 T-cell clone that recognize the appropriate antigenic determinants derived from the same self-antigen; the likelihood that a given autoreactive B-cell clone and its companion autoreactive CD4 T-cell clone have both escaped established tolerance checkpoints is generally low. Experimental evidence also supports the notion of clonal anergy (functional silencing) of autoreactive B cells in the face of high doses of soluble antigens administered intravenously. As previously discussed with T-cell tolerance, functional silencing can involve upregulation of B-cell associated inhibitory receptors such as CD22 and FcγRIIb (CD32b) and rebalancing of positive and negative signaling cascades in the face of chronic antigen exposure and additional adaptations such as impaired migration to follicular zones within secondary lymphoid tissues that facilitate B cell and T helper cell interactions. Finally, Tregs can also suppress autoreactive B-cell activation quite likely through the same mechanism they exert toward other professional APCs as described earlier. This notion is clearly supported by the detection of circulating, autoreactive B-cell clones in patients with conditions that impair Treg numbers and/or function, such as ADA-, CD40L-, dedicator of cytokinesis 8 (DOCK8)-, HLA class II-, and WASP deficiency. 36 , ,
Autoimmune disease occurs when a specific adaptive immune response is directed against self-antigens. In immune competent individuals, immune response to a foreign agent such as a virus is followed by its clearance from the body and return to homeostasis ( Table 94.1 ). Failure to clear dying cells can lead to antigen modification, immune dysfunction, and tissue damage. Studies from a number of investigations have demonstrated that alterations of autoantigen structure and the distribution in apoptotic cells may play a significant role in the pathogenesis of SLE. Rapid clearance of apoptotic cells is associated with anti-inflammatory consequences. It is therefore likely that delayed apoptotic clearance may enhance the immune recognition of post-translationally modified antigens leading to autoimmunity. While post-translational modifications (e.g., methylation, phosphorylation, acetylation, lipidation, or glycosylation) of proteins play important biological functions under normal conditions, some of these changes can create novel self-antigens or mask antigens that are recognized by the host immune system. Modification of host antigens can greatly influence recognition by immune cells and their effector functions resulting in autoimmune reactions. In patients with RA, recognition of modified proteins has been described, with anti-citrullinated protein antibodies (ACPAs) being the best characterized ( Fig. 94.1 ). , , ,
Characteristics | Specifics of Immune Response |
---|---|
Specific | Recognize self from non-self |
Non-self recognized as foreign | |
Distinguish between intracellular and extracellular pathogens | |
Intensity | Must be sufficient and appropriate to eliminate pathogen and confer protection |
Optimal downregulation (homeostasis) to minimize deleterious effects | |
Duration | Long enough to generate protection |
Should persist after resolution of challenge | |
Develop memory to confer protection upon re-challenge |
A key feature of an autoimmune disease is the unfolding of an excessive self-reactive, antigen-driven immune response. While T cells play a critical role in initiating autoimmune diseases, production of autoantibodies mediated by B cells are useful for serologic diagnosis, disease prediction and, in some cases, can yield insight into pathogenesis. Autoantibodies may also be harmless footprints of an etiologic agent. Thus two main types of autoantibodies have been recognized, natural and pathogenic.
Antibodies that react with self-molecules occur in healthy individuals and are referred to as natural antibodies or natural autoantibodies. These natural autoantibodies are mainly IgM, are encoded by unmutated V(D)J genes, and display a moderate affinity for self-antigens. Natural autoantibodies form a network that serves as first-line defense against self and external (foreign) signals, probably serve housekeeping functions, and contribute to the homeostasis of the immune system. In a minority of individuals, natural autoantibodies can lead to manifestations of autoimmune diseases.
High-affinity, somatically mutated IgG autoantibodies reflect a pathologic process whereby homeostatic pathways related to cell clearance, antigen-receptor signaling, or cell effector functions are disturbed. In some autoimmune disorders, autoantibodies might be present prior to disease onset or the preclinical phase of disease. The mechanisms responsible for autoantibody-induced pathology significantly differ in autoimmune diseases. Autoantibodies directed against the same antigen, depending on the targeted epitope, can result in a range of effects. The location of the likely target antigen most critically influences the pathogenic potential of autoantibodies. Autoantibodies directed against cell surface antigens are clearly pathogenic while those directed against intracellular targets are usually not pathogenic and/or contribute to disease progression. A number of criteria have been used to classify autoantibodies as pathogenic. Three suggested criteria include (1) demonstration that autoantibody titers correlate with disease activity; (2) the specific autoantibody is strongly associated with the relevant disease pathology, being present with the disease or disease subset and absent in healthy individuals and those with other diseases; and (3) the antibody and antigen are localized to the site of tissue damage. In addition, animal models can provide evidence that the autoantibodies against specific autoantigens are pathogenic, where the passive transfer of autoantibodies or antigen-induced immunization can recapitulate clinical features of the disease.
The functional or pathogenic role of autoantibodies in antinuclear antibody (ANA)–associated rheumatic diseases (SLE, SjS, systemic sclerosis [SSc], idiopathic inflammatory myopathies [IIM]) has a long history of intrigue. How autoantibodies directed to intracellular targets such as topoisomerase I (Scl-70) and RNA polymerase III could translate to the pathophysiology of SSc, however, remain an enigma. Intracellular antigens may be implicated in the induction of disease via three possible mechanisms. First, the antigen is released from inside the cell and binds onto a cell-surface receptor or other extracellular location, such as proteinase 3 (PR3) associated with the anti–neutrophil cytoplasmic antibodies (ANCAs) in patients with granulomatosis with polyangiitis (GPA). Second, the antigen moves to an aberrant site on the cell surface, such as, perhaps, the small ribonucleoprotein antigen Ro. Lastly, the target antigen is cross-reactive and is at an accessible location, such as the membrane ribosomal P-like protein in patients with SLE.
Autoantibodies may induce pathology via a number of mechanisms. These include mimicking receptor stimulation, blocking neural transmission, induction of altered signaling and uncontrolled triggering, cell lysis, activation of neutrophils, induction of inflammation, and microthrombosis. In systemic autoimmune diseases, autoantibodies react with free molecules, such as phospholipids (PL), as well as cell surface and nucleoprotein antigens, forming pathogenic antigen–antibody (immune) complexes. These autoantibodies injure tissues and organs through engagement of FcγR activation of complement and internalization and activation of TLRs. Activation of intracellular TLRs in plasmacytoid dendritic cells leads to the production of type I interferon (IFN), whereas engagement of intracellular TLRs on APCs stimulates cell activation and the production of other inflammatory cytokines. Thus ICs might perpetuate a positive feedback loop amplifying inflammatory responses.
Autoimmune diseases are characterized by diverse etiologies with complex interactions in which diverse genetic factors are associated not only with disease susceptibility but also with specific autoantibodies and disease phenotypes. Genetic involvement in autoimmunity can be inferred from the possibility of predicting disease through at least three levels of evidence ( Table 94.2 ). First is the idea that more than one autoimmune disease may co-exist in a single patient as seen in a number of systemic autoimmune diseases, a phenomenon referred to as poly-autoimmunity. The second evidence refers to the pathophysiologic mechanisms shared between autoimmune diseases. Lastly, familial clustering of autoimmune diseases has been long recognized and supports a role for shared genetic predisposition. A number of investigations have identified different genetic loci suspected to be involved in systemic autoimmune disease pathogenesis. Of interest, these share several risk loci suggesting that common pathways in immune loss of tolerance may be involved in induction, propagation, and maintenance of these diseases.
Evidence | Description |
---|---|
Poly-autoimmunity | Co-existence of multiple systemic autoimmune diseases in a single patient |
Pathophysiologic mechanisms | Most systemic autoimmune diseases share common mechanisms of disease initiation, propagation, and maintenance |
Familial clustering | Shared genetic predisposition |
Early genetic susceptibility studies focused on genes within the HLA region (also referred to as the major histocompatibility complex [MHC] family); however, there is support for genetic loci that are shared across autoimmune diseases outside the HLA region. Many of the identified genetic loci in autoimmunity involve pathways related to B-cell or T-cell activation and differentiation, innate immunity, and regulation of cytokine signaling. In the context of susceptibility genes relating to lymphocytic activation, the role of the HLA region is prominent. Polymorphisms affecting HLA sequences responsible for binding antigens significantly contribute to the pathophysiology of RA and SLE. In RA, massive genetic interactions between the HLA-DRB1 shared epitope (SE) alleles and non-HLA genetic variants in ACPA-positive RA patients have been reported at genome-wide level for two independent cohorts. The primary SLE association signal in the entire MHC region is located at HLA-DRB1 -associated long-range HLA-gene haplotypes in multiple ancestral populations.
The non-HLA genes encode proteins that have immune-mediating functions, including CTLA-4 (CD152). The CTLA-4 is a type I transmembrane protein of the Ig superfamily and homologue of the co-stimulatory molecule CD28. CTLA-4 serves a critical role in negative regulation of the T-cell immune response. , , Another non-HLA susceptibility gene related with the innate immune response is interferon regulatory factor 5 (IRF5). This gene is involved in IFN-mediated signaling, featuring many polymorphisms that are associated with RA, SLE, and SSc. While RA, SLE, and SSc are characterized by activation of innate immune system and associated impaired downstream pathway of type 1 IFN responding genes (IFN signatures), there is emerging evidence of diversity and abundance of these in RA when compared to SLE and SSc. Other variants implicated in RA susceptibility include PTPN22, TRAF1-C5, PADI4, and STAT4 genes. These genetic factors seem to contribute to the erosive damage seen in RA. There is also additional evidence that suggests an association between radiographic damage and polymorphisms of genes encoding TNF, IL-1, IL-6, IL-4, IL-5, OPN, and PRF1 in RA. , , The heterogeneous etiology of SLE is supported by a wide variety of disease-associated loci that have modest effect sizes but surpass the genome-wide significance threshold for the genetic association with this disease. To date, more than a hundred non-HLA loci with SLE susceptibility have been described. These genes are usually mapped at the noncoding variants suggesting that they may be involved in a regulatory role in the expression of genes that could drive the development of specific phenotypes in SLE. Notable SLE susceptibility non-HLA risk loci include STAT4, PTPN22, IFIH1, and TRAF3IP2. Given the protean clinical picture of this autoimmune disease, there is limited evidence that genetic variants are associated with the development of different SLE phenotypes. ,
Significant discoveries in genetic studies have shifted the dynamics toward gene interplay with environmental and host-specific factors. Understanding the interplay between these elements may enable us to better understand not only the pathogenic mechanisms of these diseases but also decipher clues for more tailored treatments and disease management.
Despite their heterogeneity, systemic autoimmune diseases share epidemiologic, pathogenic, and clinical features. Exogenous triggers have been reported in a number of systemic autoimmune diseases notably SLE, SSc, RA, and certain inflammatory myopathies such as the statin-induced necrotizing autoimmune myopathy (NAM). These triggers can generally be categorized as noninfectious or infectious. Molecular mimicry is one of the main mechanisms by which infectious or noninfectious agents may induce autoimmunity. Table 94.3 shows a few documented infectious agents implicated in molecular mimicry in the indicated systemic autoimmune diseases. Molecular mimicry is thought to occur when similarities between foreign and self-antigens favor the activation of autoreactive T or B cells by a foreign-derived antigen in a genetically susceptible individual. In addition to molecular mimicry, other mechanisms such as loss of tolerance, nonspecific bystander activation, or persistent antigenic stimuli (among others) may also contribute to the development of autoimmune diseases. Understanding the interplay between genetics, the host microbiome, and environmental factors will contribute significantly to our understanding of the concept of molecular mimicry and the role of the diverse immunologic players.
Systemic Autoimmune Disease | Infectious Agent |
---|---|
ANCA-associated vasculitides | Staphylococcus aureus |
Antiphospholipid syndrome | CMV, H. influenzae, N. gonorrhoeae, C. tetani |
Rheumatoid arthritis | P. gingivalis, P. mirabilis, E. coli, EBV, HPV |
Systemic lupus erythematosus | EBV |
Sjögren syndrome | EBV, HTLV-1, HCV, and HBV |
Systemic sclerosis | CMV |
The noninfectious triggers of systemic autoimmunity are very diverse. Most systemic autoimmune diseases affect more women, frequently of reproductive age, than men. This observation draws attention to the environmental etiology, especially the role of sex hormones and X-chromosome genes in autoimmune disorders. A number of studies have investigated exogenous sex hormones, silica, silicone, solvents, smoking, pesticides, mercuric chloride, and hair dyes as putative risk factors for the development of these diseases. Exposure to these agents in the environment may alter post-translational modifications, affecting immunogenicity of self-proteins and triggering an autoimmune response. For example, citrullination is linked to smoking in RA. In this study by Klareskog and colleagues, a correlation between smoking and HLA-DR SE genes was evident for ACPA-positive RA, but not for ACPA-negative RA. The combination of a history for smoking and the presence of double copies of HLA-DR SE genes increased the risk for RA by 21-fold compared with the risk among nonsmokers carrying no SE genes. In SLE, the strongest epidemiologic evidence exists for increased risk associated with exposure to crystalline silica, cigarette smoking, use of oral contraceptives, and postmenopausal hormone replacement therapy, while there is an inverse association with alcohol use. , Limited research evidence points to exposure to solvents, residential and agricultural pesticides, heavy metals, and air pollution to risk of SLE too. Mechanisms linking environmental exposures and SLE include epigenetic modifications resulting from exposures, increased oxidative stress, systemic inflammation and inflammatory cytokine upregulation, and hormonal effects. In other studies, estrogen replacement therapy in postmenopausal women demonstrates an increased but relatively modest risk for SSc and Raynaud disease. Environmental endocrine modulators, in the form of pesticides, may represent another opportunity for estrogen-like effects to occur, but there is scant evidence that these agents play a role in human systemic autoimmune disease.
It has long been recognized that infections may act as triggers and persistent drivers of various autoimmune diseases. A variety of different and often interrelated mechanisms by which infections trigger and perpetuate autoimmune disease in predisposed patients have been proposed. Experimental evidence suggesting that the joint may become targeted secondarily after the ACPA immune response has been initiated at another site as a consequence of an inflammatory event triggered by a common environmental exposure (periodontal infection/inflammation and/or smoking) have been reported. , Furthermore, ACPA-positive sera from a subset of RA patients demonstrate cross-reactivity with in vitro citrullinated peptides from Epstein-Barr virus (EBV) and human papilloma virus (HPV). , Prospective studies defining the kinetics of these antibody responses during natural infection will be important in assessing their role in disease pathogenesis.
In antiphospholipid syndrome (APS), studies in animal models have demonstrated the production of antibodies to β 2 -glycloprotein I (β 2 GPI) in response to immunization with Haemophilus influenzae, Neisseria gonorrhoeae , and tetanus toxoid. In addition, studies using peptides from microorganisms with structural similarity to β 2 GPI demonstrate induction of β 2 GPI antibodies, thrombosis, fetal loss, and inflammation. , It remains to be determined whether molecular mimicry of viral or bacterial antigens leads to the production of pathogenic anti-phospholipid antibodies (aPL) or if epitope spreading to other autoantigens is required for pathogenicity. In ANCA-associated vasculitides, an indirect mechanism of molecular mimicry leading to typical PR3-ANCA has been proposed by Pendergraft and colleagues. In selected ANCA-positive patients, antibodies against complementary peptides (antisense peptide sequence) to PR3 (cPR3) were recognized. The cPR3 peptides, which may represent mimics of microbial peptide sequences, were found to share homologies with Staphylococcus aureus sequences.
Interactions between host-specific factors (immunologic, genetics, and microbiome) and the environment play significant roles in the pathogenesis and development of autoimmune disease. Of the systemic autoimmune diseases, significant progress has been made in understanding these interactions in SLE and RA. There is evidence that other diseases such as SSc, APS, and SjS also share these attributes. Elucidating the interplay between elements involved in the diverse mechanisms associated with autoimmunity is likely to unravel optimal tools for diagnosis, prognosis, and treatment of these diseases.
The primary role of the clinical immunology laboratory in supporting the diagnostic evaluation of suspected systemic autoimmune disease is through detection of disease-associated, antigen-specific autoantibodies. Testing for autoantibodies, in one form or another, has been around for well over half a century. , All methods are based on the antigen/antibody interaction, in which a source of relevant antigen is used to “capture” the autoantibody of interest. These various methods can be classified according to the technique used to detect this interaction ( Table 94.4 ). IC-based methods use precipitation or light scatter to directly assess for the presence of the antigen/antibody complex, while immunoassays use a labeled form of an anti-human Ig antibody or antibody fragment as the detection reagent. This difference in detection methods between the two categories has implications for the autoantibody isotypes that are identifiable. The IC-based methods tend to identify autoantibodies of the IgM isotypes more efficiently, although the IgG isotype may also be detected. In addition, using the IC-based methods does not allow for determination of the autoantibody isotype. In comparison, use of detection antibodies in immunoassays allows for specific detection and identification of IgG, IgM, and IgA isotypes. Over the years, methods for identification and characterization of autoantibodies have evolved, generally moving from manual assays to more automated platforms. However, even historic methods may still be employed within the clinical laboratory. In this next section, the general principles of the various methods for detection of antigen-specific autoantibodies will be discussed. For additional information on immunoassays as applied to a wider range of analytes, see Chapter 26 “Immunochemical Techniques.”
Category | Methodology | Able to Differentiate Autoantibody Isotype? | General Principle of Method | Detection Method | Examples of Commonly Tested Autoantibodies |
---|---|---|---|---|---|
Immune complex-based | Gel-based | No | Diffusion or directed migration of antibody and/or antigen in solid-phase gel | Visualization of precipitin line | Anti-Sm/RNP antibodies |
Solution-phase | No | Formation of IC between antibody and labeled antigen in solution, followed by precipitation of complex | Immunoprecipitation: Measurement of precipitate | Farr assay for measurement of anti-dsDNA antibody | |
Formation of IC between antibody and antigen in solution, followed by passage of light signal through sample | Nephelometry: Light scatter | Rheumatoid factor | |||
Turbidimetry: Light transmittance | |||||
Immunoassay | IIF | Yes | Use of intact tissue or cellular substrate to detect antibodies with various antigen specificities | Fluorescently labeled anti-hIg | ANA using Hp-2 cells |
Line/dot blot | Yes | Use of antigens immobilized on nitrocellulose membrane to detect antigen-specific antibody | Enzyme-labeled anti-hIg and visual detection | Myositis-associated autoantibodies | |
ELISA | Yes | Use of plate-bound immobilized antigen (purified or recombinant) to detect antigen-specific antibody | Enzyme-labeled anti-hIg and absorbance detection | Anti-CCP antibody | |
FEIA | Yes | Use of immobilized antigen (purified or recombinant) to detect antigen-specific antibody | Enzyme-labeled anti-hIg and fluorescence detection | Anti-CCP antibody | |
CLIA | Yes | Use of antigen (purified or recombinant) bound to paramagnetic beads to detect antigen-specific antibody | Isoluminol-labeled anti-hIg and chemiluminescence detection | Antibodies to ENAs | |
ALBIA | Yes | Use of multiplex antigen array (bead or chip-based) to simultaneously detect antibodies with different antigen specificities | Fluorescently labeled anti-hIg | Antibodies to ENAs |
Gel-based methods are based on formation of an IC between the antigen and autoantibodies that occurs within a solid phase, usually an agarose gel. There are multiple variations of this method. Radial immunodiffusion uses a gel impregnated with the relevant antigen. A well is formed in the gel, into which the patient sample is added. The proteins from the sample will diffuse in a circle into the gel, forming a concentration gradient. Optimal IC formation occurs at the zone of equivalence between the antigen and the autoantibody. If the concentration of autoantibody is sufficient, a precipitin line will be observed; a nonspecific protein stain can also be employed to improve visualization of the precipitin. Rocket immunoelectrophoresis is a variation of radial immunodiffusion. In this method, instead of allowing circular diffusion to occur, an electric field is applied to the gel, causing the proteins to migrate in a single direction from the well. This allows for improved sensitivity as the effective concentration of the autoantibody migrating into the gel is increased.
Another variation of the gel-based methods is double-immunodiffusion. In this format, the antigen of interest and the patient’s sample are placed in two adjoining wells, both of which will diffuse into the gel in a radial pattern. As the antigen and antibody migrate toward each other, ICs will form. At the point of maximal IC formation, a precipitin line may be observed. One advantage of the double immunodiffusion technique is that a patient’s sample may be assessed for multiple autoantibodies by surrounding the patient’s sample well with multiple wells, each containing a unique antigen. Counterimmunoelectrophoresis is a variation of double immunodiffusion in which an electric current is applied such that the antibody and patient’s sample are directed to migrate toward each other, rather than to diffuse radially from the well. As with rocket immunoelectrophoresis, this raises the concentration of antigen and autoantibody that will interact, thereby improving the sensitivity of the method.
Other methods based on formation of IC are immunoprecipitation and nephelometric/turbidimetric assays. For each of these methods, the IC forms between the antigen and autoantibody in the solution phase. In an immunoprecipitation assay, an IC forms between the autoantibody and a labeled form of the antigen of interest. The IC is then precipitated out of solution by altering the ionic strength of the solution by adding a salt, such as ammonium sulfate. The precipitate is collected and washed; the amount of precipitated antigen, which is proportional to the amount of autoantibody present in the sample, is measured based on the label used. This measurement is compared to a standard curve, which allows for calculation of a semi-quantitative value. A classic example of the immunoprecipitation method is the Farr assay, in which a radiolabeled form of double-stranded DNA (dsDNA) is precipitated by the presence of anti-dsDNA antibodies.
Nephelometric and turbidimetric assays are also based on the principle of IC formation, with the formation of the IC detected by light scatter. In nephelometry, the amount of light scattered is measured at a 90° angle from the incident light; the amount of scattered light detected is directly proportional to the amount of autoantibody in the patient’s sample. In turbidimetry, the light that passes through the sample (transmittance) is measured, which is indirectly proportional to the autoantibody concentration. For each of these methods, the signal is compared to a standard curve, which allows for calculation of a numeric value that is a reflection of how much autoantibody the patient has in circulation.
Autoantibody repertoire for an individual composed of multiple antibodies with differing epitope specificities and binding avidities
Autoantibody repertoire can change over time due to epitope spreading
Selection of antigen for diagnostic testing has significant implications related to clinical sensitivity and specificity
Autoantibody assays should be interpreted as “semi-quantitative” methods
Numeric result determined by both amount of antibody present and avidity of antibody/antigen interaction
Autoantibody assays report in arbitrary units which are manufacturer-specific
Qualitative standardization relates to positive/negative agreement between methods
Differences in antigen and calibration may lead to qualitative discordance between methods
Quantitative standardization requires use of certified reference material for traceable calibration
Due to autoantibody heterogeneity, even use of a certified reference material does not guarantee quantitative standardization
Historically, the first type of immunoassay used routinely for detection of antigen-specific autoantibodies was the indirect immunofluorescence (IIF) assay. In this assay, the source of the antigen is an intact cell or tissue which has been adhered onto a slide. Detection of autoantibody binding to the cellular substrate is accomplished through an anti-human Ig labeled with a fluorescent molecule, often fluorescein-5-isothiocyanate (FITC). The presence of an autoantibody would be identified by fluorescence of the target cell or tissue. In some cases, the autoantibody may be associated with visualization of a specific fluorescence pattern, which is related to the localization of the antigen within the cell or tissue. For some IIFs, the fluorescence pattern is reported to the patient’s medical record, depending on diagnostic relevance and antigen association. In addition, IIFs may be reported with a titer, based on analysis of serial dilutions, which reflects the amount of autoantibody present in the sample.
In comparison to IIF, all other immunoassays use some form of purified or recombinant antigen as the capture reagent. In the line or dot blot immunoassay, the antigen is applied as either a line or dot on a membrane. This technique is analogous to a Western blot, although, in this case, the antigen is directly applied to the membrane without transfer from an electrophoretic gel. The diluted patient sample is applied to the membrane, during which time the antigen-specific antibody would be captured. After washing, an enzyme-labeled anti-human Ig antibody is added. After a second wash step, a substrate is added which is converted to a colored product on the membrane by the enzyme label. The presence of the patient’s antibody is determined by visualization of the membrane or through use of an automated reader. Although the intensity of the band or dot is related to the amount of antibody present in the patient sample, line/dot blots are often reported qualitatively. One advantage of the line/dot blot is the ability to multiplex, by including multiple antigens on a single membrane.
Sandwich immunoassays refer to assays in which the patient autoantibody is “sandwiched” between an immobilized capture antigen (purified or recombinant) and a labeled anti-human Ig antibody. There are several variations of the sandwich immunoassay. In the enzyme immunoassay (EIA) or enzyme-linked immunosorbent assay (ELISA), the antigen is adhered to the bottom of a 96-well plate. Detection of the antigen-specific autoantibody binding to the antigen is performed using an enzyme-labeled anti-human Ig antibody; the enzyme label converts a colorless substrate to a colored product, the intensity of which is measured through light absorbance at the appropriate wavelength. Another format of the sandwich immunoassay is the fluoroenzyme immunoassay (FEIA). For FEIA, the antigen may be immobilized on a number of supports, including a 96-well plate. The detection antibody is also labeled with an enzyme, which converts the substrate to a fluorescent product. In the third variation of the sandwich immunoassay, the chemiluminescent immunoassay (CLIA), antigen is immobilized on paramagnetic beads. The detection antibody is labeled with a luminescent molecule, commonly isoluminol. Under appropriate conditions, the isoluminol will undergo a chemical reaction. The chemical reaction provides energy to move electrons from the ground to excited state; when the electrons return from the excited state, light is released. In all variations of the sandwich immunoassay, the signal generated from the detection antibody (absorbance, fluorescence, luminescence) is directly proportional to the amount of autoantibody that has bound to the antigen.
Another type of immunoassay routinely used for autoantibody serology is generically referred to as the multiplex immunoassay (MIA). There are various formats of MIA testing; however, the most commonly used in the clinical laboratory is the addressable laser bead immunoassay (ALBIA) platform. In this type of assay, individual bead sets, each with a unique fluorescent signal, are coupled to various antigens of interest. The bead sets are then combined into a bead mixture. Autoantibody binding to the beads is detected through use of an anti-human Ig antibody labeled with a fluorescent marker, such as FITC. Measurement of the mean fluorescent intensity (MFI) for each bead, and identification of the individual bead, is accomplished by using a fluidics and laser system analogous to a flow cytometer. Identification of the bead set allows for determination of the antigen specificity of the autoantibody, while measurement of the MFI is directly proportional to the amount of autoantibody that has bound to each bead set.
Autoantibody detection and measurement face challenges not generally encountered for other protein analytes. Antibodies are heterogeneous molecules, which is necessary in their physiologic role in the adaptive immune response. In addition, antigen-specific autoantibodies must be differentiated from all the other Igs that make up the patient’s antibody repertoire. These issues of heterogeneity and specificity require careful selection of the antigen when designing an assay for detection of an autoantibody. Another issue is quantitation; most immunoassays for detection of autoantibodies are semi-quantitative, rather than being truly quantitative, for reasons that will be highlighted in the following section. Lastly, standardization across methods, platforms, and assays remains a challenge. This is an area that deserves increased attention, particularly for autoantibodies that are included as part of the classification criteria for some systemic autoimmune diseases.
In contrast to most protein analytes for which testing is performed in the clinical laboratory, variation between autoantibodies, both within an individual and between individuals, is significant. Within an individual, the autoantibody response is polyclonal, with production of multiple antibodies that may have different epitope specificities and binding avidities. This would be referred to as the individual’s autoantibody repertoire. To add further complexity, an individual’s autoantibody repertoire will likely change over time, due in part to epitope spreading. Epitope spreading occurs when the immune response, which was initiated against a single antigenic epitope, expands to include recognition of additional epitopes which may be from the same or different protein molecules. Between individuals, the same heterogeneity is observed. Each individual’s autoantibody repertoire will be unique. For example, consider two patients with RA. Each patient might have an immune response which leads to production of autoantibodies that bind to citrullinated peptides. However, the autoantibody repertoire from each individual will probably recognize different citrullinated peptides, possibly originating from different protein molecules. It is also probable that there will be differences in avidity with which the various autoantibodies bind to these different citrullinated peptides. Because of this complexity, designing an assay that will detect autoantibodies from both individuals can be very challenging. In addition, an assay must be able to “pick out” the relevant autoantibody from the other Igs that constitute the individual’s complete antibody repertoire. These two challenges combine to have significant impacts on the performance characteristics of an assay, specifically related to clinical sensitivity and specificity. Overcoming these challenges requires careful selection of the capture antigen. The antigen used in the assay must be broad enough to detect relevant autoantibodies that have different epitope specificities, while not including epitopes that might detect diagnostically irrelevant antibodies. Using an epitope-restricted antigen could lead to an assay with decreased sensitivity, although using a broad mixture of antigens could result in decreased specificity. Recombinant antigens may be used, although it is critical to understand the similarities and differences of the epitopes compared to the native antigen. Native antigen may be a viable option, although impurities resulting from other co-purified proteins could affect the specificity of the assay.
Most immunoassays for antigen-specific autoantibodies are reported with a numeric value. The numeric value is compared to a “cutoff,” or reference interval, a result above which would be considered “positive” for the presence of the autoantibody. This numeric value is presumed to be a reflection of the concentration of the autoantibody in the patient sample. , However, this relationship is more complicated. In reality, most immunoassays for autoantibodies should be viewed as “semi-quantitative” methods. While the result generated from an immunoassay is determined, in part, by the amount of autoantibody, avidity of the autoantibody/antigen interaction also affects the observed signal. This “semi-quantitative” character is also evidenced in the reported result units. Virtually all immunoassays for autoantibodies report in arbitrary units, “U” or “U/mL,” rather than mass-based units. These units are generally defined by each manufacturer for their specific assay based on their calibrator material. Because of this, the patient result is only a relative comparison to the assay-specific calibrator, rather than a mass-based quantitative value.
With all these limitations, numeric autoantibody results have some diagnostic implications. For many autoantibodies, significantly elevated values are more predictive for the presence of an autoimmune disease compared to results that might be only slightly above the cutoff. In addition, in some conditions, “strongly positive” autoantibody results are linked to more aggressive disease. However, it is important to realize that most autoantibody assays are not truly “quantitative” due to complexities of the antibody avidity, antibody repertoire, and assay-specific calibration schemes.
Standardization refers to comparability of results between different assays. For autoantibody assays, standardization can be thought of as “qualitative” or “quantitative.” Qualitative standardization requires having positive/negative agreement between assays, while quantitative standardization requires comparability of numeric values. Lack of qualitative standardization can result from differences in antigenic epitopes or assay calibration. Differences in antigens between two assays could lead to a patient sample demonstrating a relatively high positive result on one assay and a low positive or even negative result on another. This pattern of results could suggest that the patient’s autoantibody is binding to an epitope present in the antigen used in the first assay, which is not present in the antigen used for the second assay. Assay calibration can also lead to qualitative discrepancies between assays, usually around the cutoff. In other words, if one assay has a cutoff set lower to maximize sensitivity and a second assay has a cutoff set higher to improve specificity, some patient samples may have a weak positive result on one assay and a negative result on the other.
Quantitative comparability adds even further challenges to autoantibody standardization. The only way to achieve quantitative standardization is through the use of certified reference materials (CRMs). CRMs are available for only a handful of autoantibodies, and those that are available have not been routinely used as traceable calibration materials. However, it is critical to point out that the availability and use of a CRM does not guarantee quantitative standardization. This can be attributed again to autoantibody heterogeneity. Even if two assays are calibrated with traceability to the same CRM, but are detecting different subsets of autoantibodies, the quantitative results between the two methods will not be equivalent. Standardization of autoantibody assays faces significant difficulties, some of which are inherent to the autoantibody itself. Qualitative and quantitative comparability should both be considered as goals for future assay development, with the understanding that complete standardization may not be possible. For more detailed information regarding clinical laboratory test standardization, see Chapter 7 “Standardization and Harmonization.”
SjS, SLE, SSc, mixed connective tissue disease (MCTD), and IIMs are classically considered ANA-associated rheumatic diseases. In the first part, an overview of these diseases and the specific ANAs associated with these diseases will be provided. A historical overview of a selection of specific antibodies found in patients with an ANA-associated disease is given in Table 94.5 . In the second part the assays and methods used for detection of these antibodies will be described in additional detail.
Year | Antibody | Year | Antibody |
---|---|---|---|
1958 | 1986 | Anti-PL-12 /anti-SRP | |
1959 | Anti-nucleoprotein/anti-DNA | 1987 | |
1960 | 1988 | ||
1961 | 1989 | ||
1962 | 1990 | Anti-OJ/anti-EJ | |
1963 | 1991 | ||
1964 | 1992 | ||
1965 | 1993 | Anti-RNA pol III | |
1966 | Anti-Sm | 1994 | |
1967 | 1995 | ||
1968 | 1996 | ||
1969 | Anti-Ro | 1997 | |
1970 | 1998 | ||
1971 | Anti-RNP | 1999 | Anti-KS |
1972 | 2000 | ||
1973 | 2001 | ||
1974 | Anti-La | 2002 | |
1975 | 2003 | ||
1976 | Anti-Mi2 | 2004 | |
1977 | 2005 | Anti-MDA5 | |
1978 | 2006 | Anti-TIF-1γ | |
1979 | Anti-Scl-70 | 2007 | Anti-NXP-2 /anti-SAE /anti-Zo |
Ro=SSA/La=SSB | |||
1980 | Anti-centromere /Jo-1 | 2008 | |
1981 | Anti-Ku | 2009 | |
1982 | Anti-Th/To | 2010 | |
1983 | 2011 | Anti-HMGCR | |
1984 | Anti-PL-7 136 | 2012 | |
1985 | Anti-fibrillarin | 2013 | Anti-cN1A |
Primary SjS is a systemic autoimmune disease typified by focal lymphocytic infiltration of the exocrine glands causing dry eyes and dry mouth. Secondary SjS is the condition in which focal lymphocytic infiltration of the exocrine glands occurs as a late complication in patients with another rheumatic disease such as RA, SLE, or SSc.
Primary SjS occurs in 0.1 to 0.6% of the general adult population with a female:male ratio of at least 9:1 and a mean age of diagnosis at around 50 years. In addition to dry eyes and dry mouth, patients may also present with symptoms of arthralgia, fatigue, and malaise. In some patients, systemic features such as inflammatory arthritis, Raynaud phenomenon, fever, and photosensitivity can be present as well.
The 2016 American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) classification criteria for SjS are summarized in Table 94.6 . Although such criteria are aimed for research, they can also be useful in clinical practice.
Classification Item | Score |
---|---|
Anti-SSA/Ro antibody positivity | 3 |
Focal lymphocytic sialadenitis with a focus score a of ≥1 foci/4 mm 2 | 3 |
Abnormal Ocular Staining Score of ≥5 (or van Bijsterveld score of ≥4) | 1 |
Schirmer’s test b result of ≤5 mm/5 min | 1 |
Unstimulated salivary flow rate of ≤0.1 mL/min | 1 |
Individuals with signs and/or symptoms suggestive of SjS (ocular or oral dryness) who have a total score of ≥4 meet the criteria |
a Focus score (histology): 50 or more lymphocytes per high power field around a salivary duct
b The Schirmer test uses standardized blotting paper strips to measure tear flow over a 5-minute period: 5 mm or less of wetting is considered dry
In a majority (>70%) of patients with SjS, antibodies to SSA/Ro and SSB/La are found. In SjS, the presence of anti-SSA alone is less common than the presence of both anti-SSA and anti-SSB antibodies. Anti-SSB alone is uncommon, and the Sjögren’s International Collaborative Clinical Alliance (SICCA) Research Groups reported that the presence of anti-SSB, without anti-SSA antibodies, had no significant association with SjS phenotypic features, relative to seronegative participants. Therefore SSB was not included in the 2016 classification criteria.
In patients with primary SjS, hypergammaglobulinemia, low C4 levels, and rheumatoid factor (RF) can be found. Thus in a patient with RF (without ACPAs), arthritis, and dryness, a diagnosis of primary SjS should be considered.
It is important to distinguish anti-SSA-60 antibodies from anti-SSA-52 antibodies as the target antigens and their immunologic functions are different. Ro60 is a protein component of small cytoplasmic ribonucleoprotein complexes (hY-RNA complexes) that can bind misfolded noncoding RNA. Ro60 likely is involved in the targeted degradation of noncoding RNA. In mice and certain bacteria, Ro60 is important for cell survival after ultraviolet irradiation. The antigenic target of anti-SSA-52 (Ro52) antibodies is Tripartite Motif 21 (TRIM21), a cytosolic Fc receptor. TRIM21 links Fc-mediated antibody recognition to the ubiquitin proteasome system and is involved in innate immune signaling and antigen degradation. TRIM21 has also been linked to initiation of autophagy.
Antibodies to Ro60 are found in patients with SjS, SLE, subacute cutaneous lupus erythematosus, and neonatal lupus erythematosus. Antibodies to Ro52 are associated with a broad range of conditions. They have been associated with myositis and with interstitial lung disease in connective tissue diseases (CTDs). , A recent French retrospective, observational study found that in patients with antibodies to both TRIM21 (Ro52) and Ro60, primary SjS was the most likely associated disease, especially if combined with antibodies to SSB. In patients negative for antibodies to TRIM21 (Ro52) but positive for antibodies to Ro60, SLE was the most frequent diagnosis (48.5%). Finally, patients with isolated anti-TRIM21 (Ro52) had a wide variety of diseases associated (autoimmune and nonautoimmune). Among autoimmune diseases there was an association with inflammatory myositis. Similar findings were reported by Murng and Thomas.
Neonatal “lupus” syndrome can occur in infants born to mothers who carry anti-Sjögren syndrome A (anti-SSA/Ro) and anti-Sjögren syndrome B (anti-SSB/La) antibodies (primary SjS patient or patient with SLE) and is caused by maternal-fetal transmission of these antibodies. The neonates have a rash resembling discoid lupus erythematosus and occasionally also other abnormalities such as hepatosplenomegaly or heart block. Anti-SSA/Ro antibodies can bind to fetal heart conduction tissue and can inhibit cardiac repolarization, resulting in atrioventricular block.
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