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Review

Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis

1
Paediatric Department, University of Chieti “G. D’Annunzio”, 66100 Chieti, Italy
2
Paediatric Department, Buckinghamshire Healthcare NHS Trust, Aylesbury-Thames Valley Deanery, Aylesbury HP21 8AL, UK
3
Paediatric Department, University of L’Aquila, 67100 L’Aquila, Italy
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(3), 1846; https://doi.org/10.3390/ijms24031846
Submission received: 28 December 2022 / Revised: 7 January 2023 / Accepted: 16 January 2023 / Published: 17 January 2023
(This article belongs to the Special Issue Pediatric Rheumatic Diseases: Molecular Basis and Therapies)

Abstract

:
Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in the paediatric population. JIA comprises a heterogeneous group of disorders with different onset patterns and clinical presentations with the only element in common being chronic joint inflammation. This review sought to evaluate the most relevant and up-to-date evidence on current knowledge regarding the pathogenesis of JIA subtypes to provide a better understanding of these disorders. Despite significant improvements over the past decade, the aetiology and molecular mechanisms of JIA remain unclear. It has been suggested that the immunopathogenesis is characterised by complex interactions between genetic background and environmental factors that may differ between JIA subtypes. Human leukocyte antigen (HLA) haplotypes and non-HLA genes play a crucial role in the abnormal activation of both innate and adaptive immune cells that cooperate in causing the inflammatory process. This results in the involvement of proinflammatory cytokines, including tumour necrosis factor (TNF)α, interleukin (IL)-1, IL-6, IL-10, IL-17, IL-21, IL-23, and others. These mediators, interacting with the surrounding tissue, cause cartilage stress and bone damage, including irreversible erosions. The purpose of this review is to provide a comprehensive overview of the genetic background and molecular mechanisms of JIA.

1. Introduction

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease in childhood [1]. Under the generic umbrella term “JIA” are currently encompassed all forms of chronic arthritis with unknown aetiology, starting before the age of 16 years. Epidemiological studies estimate an incidence rate of about 1.6 to 23/100,000/year and a prevalence of about 16–150/100,000 in European countries, with a higher incidence rate in females (10/100,000) compared to males (5.7/100,000) [1,2]. JIA represents a heterogeneous family of distinct paediatric rheumatological disorders caused by a variety of genetic and pathophysiological mechanisms (Table 1) [3]. The International League of Associations for Rheumatology (ILAR) has defined seven different subtypes of JIA [4]. Noteworthily, oligoarticular JIA (oJIA) is the most common in European countries, whereas polyarticular JIA (pJIA) is most often seen in India, Australia, New Zealand, Costa Rica, and South Africa, enthesitis-related arthritis (ErA) in Asia, and, finally, systemic JIA (sJIA) in Japan [1,5,6].
Growing evidence suggests that while some of these JIA subtypes are homogeneous and have a counterpart in the adult population, others are heterogeneous and occur exclusively in children, and thus they do not represent the childhood onset of an adult illness [1,3,8]. Although onset, clinical presentation, and disease course differ in JIA subtypes, the development of a chronic inflammatory process within synovial joints is a common characteristic [1]. New classification criteria are in progress to provide a better evidence-based categorisation of the chronic arthritis belonging to the broad JIA family [3]. The pathogenesis of JIA is characterised by a disrupted balance between regulatory cells, mostly represented by T regulatory (T reg) cells, and effector cells, that include CD4+ T helper (Th) cells, such as Th1 and Th17. This disequilibrium is caused by complex interactions between genetic and environmental factors, and nowadays the literature is showing a growing interest in this field (Figure 1) [9]. Joints involved are characterised by the infiltration of multiple different immunocompetent cells that secrete inflammatory mediators. In the synovial fluid, active neutrophils with an altered functionality in combination with defective synovial monocytes and macrophages that show an impaired phagocytosis ability have been observed, confirming the key role of the innate immune system in the pathogenesis of JIA [10,11]. Furthermore, the involvement of proinflammatory cytokines has been recorded both in blood and synovial fluid, where high levels of tumour necrosis factor (TNF)α, interleukin (IL)-1, IL-6, IL-10, IL-17, IL-21, IL-23, macrophage migration inhibitory factor (MIF), and others were detected. The role of these molecules mostly consists in regulating the differentiation of Th1 and 17 cells, enhancing or modulating the inflammatory response [7,12,13,14,15,16]. Genetic background is central in JIA pathogenesis; monozygotic twins have a higher concordance rate, and siblings of affected individuals have a higher relative risk of illness [17]. The literature confirmed that the major histocompatibility complex (MHC) class II alleles are among the most influential factors in the pathogenesis of JIA [16,18,19,20]. Growing emerging research highlighted that class II human leukocyte antigen (HLA) molecules enhance disease susceptibility, indicating that the adaptive immunity also plays a crucial role in this class of diseases, and it is corroborated by the high rate of antinuclear antibodies (ANAs) in JIA patients [18,19,21]. A recent genome-wide association study (GWAS) has described novel non-HLA genes associated with JIA and emphasised the involvement of Th17 cell differentiation in the development of this group of disorders [9]. The characterisation of proinflammatory cytokines and chemokine profiles could provide a better understanding of JIA. However, despite significant improvements over the last decade, JIA aetiology and molecular mechanisms remain not fully understood. The aim of this review is to offer an overview of the most important and up to date evidence about the pathogenesis of JIA.

2. Interleukin Signature and Immune Cell Involvement

In JIA, several types of cells, such as macrophages, neutrophils, natural killer (NK) cells, and lymphocytes, secrete proinflammatory mediators, including interleukins and chemotactic cytokines, that attract and promote the differentiation of immune cells in the inflammation site, that in JIA is usually, but not only, represented by joints [22,23]. In children with a susceptible genetic background and predisposing environmental factors, both innate and adaptative immunity cells cooperate in causing the inflammatory process. This, in combination with an abnormal synoviocyte growth, leads to a thickening of the synovial membrane [7]. Furthermore, because of an increased production of proangiogenic molecules, such as osteopontin and vascular endothelial growth factor, the hypertrophic synovium membrane becomes hypervascularised and joint Doppler ultrasonography is used for the detection of this phenomenon [7]. This process causes the creation of an aberrant hyperplastic synovium layer, called pannus [24]. The hyperproduction of a variety of proinflammatory molecules, such as IL-1 and TNFα, which stimulates osteoclasts and the expression of local metalloproteinases (MMPs), results in significant cartilage stress and bone erosions, which can lead to irreversible damage and growth delay (Figure 2) [7,24,25]. Distinct cell involvement has been noted in various JIA subtypes. CD4+ Th cells play a key role in oJIA and pJIA, and the two diseases are known to share a molecular pathophysiology and common genetic background [19]. Human effector CD4+ Th cells may be divided into three subgroups, based on the immunological role, cytokines’ profile, and on transcription factor expression [26]. Th1 cells mostly protect the body from intracellular infections by primarily producing interferon (IFN)γ, showing typical cell markers, such as Tbet [27,28]. Th2 cells are crucial for helminth protection since they express many cytokines, such as IL-4, IL-5, IL-9, and IL-13 [29].
The last group consists of Th17 cells, which have a leading role in the development of various autoimmune and inflammatory disorders, mostly producing IL-17 and IL-22 [27,30]. However, despite their central involvement in the pathophysiology of JIA, Th17 are very rare at inflammatory sites if compared to Th1 cells, probably due to their self-regulatory mechanisms [27,31]. An important molecular plasticity has been recently attributed to Th17 cells [27]. It is known that Th17 cells develop the capacity to generate IFNγ when stimulated by local inflammatory cytokines, such as IL-12 and TNFα. In oJIA, Th cells have an intermediate phenotype, known as Th17/Th1, and generate both IFNγ and IL-17, but they may quickly stop secreting IL-17 and only continue to produce IFNγ [26,27,28,32]. These non-classic Th1 cells are derived from Th17 and, differently from the classic counterpart, they continue to express both Tbet, a classic Th1 cell marker, and typical Th17 cell markers, such as ROR-γT, CD161, and CCR6 [28,32,33]. Both non-classic Th1 cells and Th17/Th1 lymphocytes are highly present in the synovial fluid of oJIA children [27,32,33]. These mechanisms evidence the pathogenetic role of CD4+ Th cells in JIA pathophysiology and allow a better comprehension of the involvement of Th17 cells and their own ability to produce IFNγ, shifting toward the Th17/Th1 and the non-classic Th1 phenotype after appropriate cytokines’ stimulation (Figure 3) [27,32]. In contrast, Treg cells are inhibited and decreased in number, contributing to an uncontrolled joint inflammation. This disrupted immune balance results in an increased production of proinflammatory cytokines, such as IL-17, and the subsequent joint damage due to expression of MMPs and IL-6 by synoviocytes [34]. However, both innate and adaptative immunity appear to have a pivotal role in oJIA, indeed a high rate of ANA is observed in such patients and altered activated neutrophils and macrophages with impaired phagocytic capacities have recently been noted in inflamed synovial fluid [10,11]. In the meanwhile, accumulating data show that sJIA should be categorised as an autoinflammatory disorder owing to its clinical processes and genetic background. Uncontrolled activation of monocytes, macrophages, and neutrophils, followed by the upregulation of several proinflammatory cytokines, such as IL-1, IL-18, and IL-6, play a major role in this form of autoimmune disease [7,35]. Based on these findings, several interleukins have largely been studied due to their central involvement in JIA, and the most important are described below.

2.1. TNFα

TNFα is a major regulator of inflammation and lead actor in the pathogenesis of both inflammatory and autoimmune disorders [36]. TNFα signalling pathways are activated by its binding with two unique receptors (TNFR1 and TNFR2), resulting in a wide range of biological responses including cell differentiation, and proliferation. Its role has not been fully understood yet, but its contribution in the progression of the disease is well known [36]. TNFα is mostly released by macrophages and Th1 cells, and when excessively produced, it results in an excessive synthesis of cathepsins and MMPs by synovial fibroblasts, causing fibrosis, stricture formation, and joint erosion [36]. In psoriatic arthritis (PsA), activated dendritic cells and macrophages generate large amounts of TNFα and IL-23, which promote naïve T lymphocyte differentiation in Th17 cells, which subsequently secrete IL-17. TNFα and IL-17 also activate keratinocytes and stimulate osteoclasts, which increase synovial hyperplasia and angiogenesis [36,37,38]. Under the TNFα stimulation, Th1/Th17 cells also migrate and infiltrate the uvea, causing damage to the blood–retinal barrier, enhancing the retinal vasculature, and recruiting in this district other leukocytes such as monocytes, lymphocytes, and neutrophils, that cause chronic inflammation in non-infectious uveitis [39,40,41,42]. Genetic investigation in JIA patients confirms the role of TNFα in JIA pathophysiology. It has been observed that Caucasian patients carrying the TNFα-308GA/AA and TNFα-238GA genotypes are associated with a worse prognosis and a lower response to anti-TNFα drugs [43]. Noteworthily, TNFα inhibitors are the main biological drugs used in JIA, interfering both with the shift of Th17 to Th1 cells and the TNFα upregulation of the synovial fibroblasts [27]. Their proven efficiency in improving the disease outcome of JIA patients underlines the key role of this cytokine [44,45,46,47].

2.2. IL-1

Tissue macrophages, blood monocytes, and dendritic cells represent the major sources of IL-1β [48]. IL-1β plays a key role in the synthesis of powerful inflammatory mediators such as cyclooxygenase type 2, phospholipase A, and inducible nitric oxide (NO) synthase, which accounts for prostaglandin-E2, platelet activating factor, and NO production, in addition to angiogenic properties [48]. The activation of IL-1β consists in its synthesis and release, the activation of membrane receptor binding, and intracellular signal transduction, that leads to a complex sequence of events such as phosphorylation and ubiquitination, and results in the activation of nuclear factor kappa B (NF-kB), and the subsequent expression of proinflammatory cytokines, chemokines, and secondary mediators of inflammatory response in sJIA [49]. The key role of IL-1β in sJIA is well known. In peripheral blood, mononuclear cells from sJIA patients produce excessive levels of IL-1β compared with healthy controls [50]. Based on further understanding of sJIA pathogenesis, biological therapies target specific cytokines. Of these biologics, the IL-1 inhibitor canakinumab is currently approved by both the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) for sJIA in children ≥ 2 years. Currently, the short-life IL-1 inhibitor anakinra, a recombinant IL-1 receptor antagonist, is approved by the EMA in sJIA patients aged 8 months or older and with a weight of 10 kg or above.

2.3. IL-6, IL-17, and IL-23

IL-6 is a pleiotropic cytokine that takes an active role in the acute phase of the pathology and has been detected at high concentrations both in blood and synovial fluid of JIA patients [51,52]. Its role includes osteoclast activation and joint inflammation, amplifying cytokine expression by peripheral monocytes [53]. It correlates with CRP, iron, haemoglobin, and platelet levels and with the number of affected joints and the degree of disability [54]. IL-6 plays a crucial role in oJIA and pJIA, probably because in such forms it has been shown to help to differentiate Th17 cells. Furthermore, IL-6 inhibitors have been found to improve the modulatory function of Treg cells in oJIA [55]. The key involvement of IL-6 in sJIA is supported by the fact that treatment with IL-6 inhibitors restores NK cytotoxic activity in affected patients [56]. Conversely, IL-6-expressing cells are poorly detected within entheses or subchondral bone lesions in spondyloarthritis, such as ankylosing spondylitis [57]. These findings confirm that the role of IL-6 in PsA and ErA is totally distinct from that in oJIA and pJIA, and this could be the likely cause of the poor efficacy of IL-6 inhibitors in such forms. Otherwise, ErA seems to be associated with HLA-B27-dependent T cell activation and the subsequent production of IL-17 and IL-23 [58]. IL-23 is produced by activated antigen-presenting cells (APCs), playing an important role in Th17 cell development and maintenance, and affects the pathogenicity of Th17 cells interacting with IL-17 and TNFα. IL-23 can induce the differentiation of Th17 cells, increasing IL-17 levels (IL-23/IL-17 axis) and leading to osteoclastogenesis [59,60]. With regard to IL-17, it promotes tissue inflammation. The IL-17A receptor is expressed in several cell types, including fibroblasts, osteoclasts, osteoblasts, monocytes, and synoviocytes [61]. IL-17A may induce the production of various chemokines, such as CXCL1, 5, and 10 and CCL2 and 20, also stimulating the secretion of other proinflammatory cytokines such as IL-6, TNF, and IL-1 [62,63,64]. In recent years, it has emerged that members of the IL-17 family are crucially involved in the pathogenesis of some subtypes of JIA, confirming that both oJIA and pJIA patients have a large amount of this cytokine in the active phase of the disease [14]. These data were recently confirmed in oJIA and rheumatoid factor (RF)-negative pJIA, leading to speculation that these two subtypes of JIA may represent a continuum of the same disease [8,65]. In another study, IL-17 levels were increased in the synovial fluid of patients with ERA and pJIA, as compared to subjects with sJIA [66]. Based on the studies showing the role of IL-17 in the pathogenesis of JIA and the role of the “IL-23/IL-17” axis, clinical studies were initially conducted to evaluate the effect of IL-23 inhibitors in the treatment of this disease [67].

2.4. IL-10

IL-10 is a pleomorphic cytokine produced by a wide variety of both innate and adaptive immune cells, including granulocytes, dendritic cells, macrophages, and T and B cells [68,69]. IL-10 modulates the local cytokine microenvironment and limits antigen presentation, preventing the efficient development of T cell responses and limiting basic microbicidal mechanisms [70]. It has been implicated in several major diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and systemic sclerosis (SSc). Recent evidence has established that IL-10 is increased in blood of adult-onset Still’s disease (AOSD) patients and positively correlates with disease activity [71]. sJIA shares many clinical similarities with AOSD, despite the younger age onset, indeed, both are multifactorial autoinflammatory diseases with inappropriate activation of the inflammatory cascade and inflammatory cytokine production [72,73]. IL-10 could be a key factor in sJIA pathogenesis. This cytokine has been noted to be increased in sJIA patients compared to controls [70]. Furthermore, serum IL-10 levels are higher during the active phase compared to inactive phase of the disease [70]. These findings strongly support the theory that IL-10 has an important role in sJIA pathogenesis and could be a good marker for monitoring disease activity in sJIA, and it could probably also have a prognostic role. In addition, novel evidence has shown that IL-10 levels at diagnosis are significantly higher in sJIA patients with a polycyclic or persistent disease course compared to patients affected by the monocyclic form [70].

2.5. IL-21

T follicular helper (Tfh) cells are a novel subgroup of CD4+ Th cells, secreting IL-21 as a signature cytokine [74,75]. The role of the subset of Tfh cells has been confirmed in several autoimmune diseases and they provide help to antibody-producing B cells by provision of IL-10 and particularly IL-21 [75]. IL-21-secreting CD4+ Tfh cells are particularly enriched in joints of ANA + oJIA and pJIA patients, and low in ErA patients, in which Th17 cells have a major role instead [74]. However, further investigations are necessary to better understand the role of this cytokine and future therapeutic perspectives.

3. Genetic Background

The pathophysiology of JIA is characterised by a strong genetic background [76]. Epidemiological studies have reported significant concordance rates in monozygotic twins of approximately 25-40%, with a much greater risk than in other children [77]. First degree relatives of JIA patients show an increased prevalence of autoimmunity disorders, and the frequency of JIA among siblings is around 15–30 times that of the general population, with a wide similarity in disease onset and course [78,79,80]. Both HLA and non-HLA genes play their own role in susceptibility to JIA. Although a huge number of non-HLA candidate genes had been investigated in the past for associations with JIA, only a restricted number of associations were identified. Recently, GWASs have led to a better understanding of many novel non-HLA loci associated with JIA [81,82,83,84]. Moreover, many environmental factors have been widely studied, with unclear conclusions.

3.1. HLA Haplotypes and JIA Subtypes, an Overview

For several years, the MHC region has been considered as the most significant genetic risk factor for JIA. The development of innovative approaches for the analysis of conventional HLA alleles from genotyping array data is providing more detailed knowledge of the JIA molecular background [85]. The important HLA contribution to JIA development is estimated at a rate of around 20% [76]. The largest study evaluating the connection between HLA haplotypes and JIA subtypes evidenced both differences and similarities across the various forms of the disease [85]. The large HLA complex includes genes encoding class I (HLA A, B, and C), and class II (HLA-DR, DP, and DQ) molecules [76]. HLA-DR is an MHC class II cell surface receptor expressed by APCs such as lymphocytes and macrophages, that plays a very key role in the immune system’s transmission of peptides derived from extracellular proteins to Th lymphocytes. It is known that the greatest genetic relationship exists between MHC and adult RA risk and the presence of HLA-DRB1 has been linked to RA development, and particularly its amino acid sequence changes at positions 11 and 13 [86]. In JIA patients, the most clinical and immunological homogeneity has been noted between oJIA and RF − pJIA forms. These categories appear genetically quite similar, sharing a strong association for the haplotype HLA-DRB1*08 [19,85,87]. The amino acid position 13 is a key locus in the pathophysiology of these forms, and specifically the presence of a glycine in this position is associated with a greater risk of both oJIA and RF − pJIA, while histidine seems to be the most important risk factor for RF + pJIA [19,85,87]. Interestingly, the relationship between HLA-DRB1 and amino acid position 13 was found significant for both JIA and adult-onset RA, even if this specific HLA genotype appears most influential in the development of the paediatric disease [85]. In addition, the link between JIA and amino acid variants seems to be more significant than that with the traditional HLA alleles [85]. However, oJIA has also been associated with HLA-DRB1*01, HLA-DRB1*11, HLA-DRB1*13, HLA-DPB1*02, and HLA-DQB1*04; while HLA-DRB1*04 and HLA-DRB1*07 appear to play a protecting role [19,76,88]. In addition, RF – pJIA has been also associated with HLA-DPB1*03, while RF + pJIA, which can be regarded as the paediatric counterpart of adult RA, has been associated with HLA-DRB1*01, HLA-DRB1*04, HLA-DQA1*03, and HLA-DQB1*03 [19,76,88]. Different HLA connections have been associated with other JIA subsets: in ErA, HLA-B*27 is the main haplotype involved, like in ankylosing spondylitis, probably an adult-onset form different from the paediatric juvenile spondyloarthropathy category [6,85]. No statistical correlation was detected for PsA, even if the main HLA alleles involved are HLA-DQA1*0401, HLA-DRB1*08, HLA-DQB1*0402, and, less frequently, HLA-B*27 [19,85]. Several studies have confirmed relevant associations for sJIA, and HLA-DRB1*11 seems the most significant haplotype involved in this specific subtype, even if associations with HLA-DRB1*04 and HLA-DQA1*05 have also been reported [76,85,89]. However, this relation appears quite different to the other forms, confirming that sJIA has strong autoinflammatory characteristics and probably a different underlying genetic background. The assessment of the HLA expression confirms the clinical homogeneity between some categories, such as oJIA and RF − pJIA, and the heterogeneous aetiology of other different JIA subtypes, such as ErA and PsA. Even in the evaluation of HLA haplotypes, RF + pJIA shares some characteristics in common with adult RA. These findings help to better understand the pathogenesis of JIA and suggest that the current ILAR classification is not accurate enough and new classification criteria, giving more relevance to pathophysiological mechanisms and evidence-based improvements, are needed [85].

3.2. A Genome-Wide Study Approach for Non-HLA Genes Related to JIA

Two associated non-HLA loci were found in JIA genetic investigations prior to 2013: PTPN22 and PTPN2 [90]. Protein tyrosine phosphatase non-receptor type 22 (PTPN22) is a gene located on chromosome 1p13.2, encoding the homonym protein PTPN22, also called “lymphoid phosphatase” (LYP) in humans, which is expressed nearly exclusively by haematopoietic cells, especially T lymphocytes, in the thymus and spleen [91]. LYP is regarded as an inhibitor molecule of T cells, probably through its P1 motif that directly binds the Csk phosphorylates, a stunning negative regulator of T cell receptor (TCR)-mediated signalling, even if the exact mechanism of the Csk-PTPN22 complex is still not totally clear [91]. PTPN22-knockout mice exhibit increased T cell dependent immunoglobulin response to antigens, as well as enhanced effector and memory T cell proliferation [91,92,93]. Moreover, PTPN22-deficient Treg cells show increased adhesion properties [92]. A PTPN22 missense mutation R620W (c.1858C > T, p.Arg620Trp) has been associated with an increased risk of several autoimmune disorders, such as SLE, type 1 diabetes mellitus (T1DM), vitiligo, RA, and finally JIA, probably by not promoting type 1 IFN-driven inhibition of inflammation [91,94,95,96,97,98,99]. R620W substitution affects the P1 motif, causing an impaired interaction with Csk, and therefore a reduced inhibition of T cell regulatory pathways [91]. However, R620W should be better considered a single nucleotide polymorphism (SNP), with an estimated prevalence ranging up to >10% in Northern Europe, around 7–8% in Western Europe, and <1% in Africa, Middle East Europe, America, and Asia [91,100]. PTPN2 is a gene located on chromosome 18p11.21, encoding the homonym tyrosine phosphatase PTPN2, which also has its own role in the regulation of both T and B lymphocytes like PTPN22, modulating immunity through the Janus kinases/signal transducer and activator of transcription proteins (JAK/STAT) signalling pathways [101]. Haematopoietic tissues exhibit high levels of PTPN2, that seems to have an impact on a wide group of cells involved in immune system development. PTPN2-deficient mice exhibit increased levels of TNFα, a central proinflammatory cytokine in JIA [101]. In recent years, genome-wide association studies have defined a wide number of JIA-linked non-HLA loci [9,83,84,87,90,102]. Nevertheless, most of these relationships need to be validated by wider, more precise experimental research, even if convincing causal connection may be plausible when the tagging SNP corresponds with a missense coding variation [90,103]. The main genes investigated are those with a potential pathogenetic relevance, due to the presence of coding variations for which the causal gene can be determined with reasonable confidence. These data have been assessed by using a large variety of different genetic techniques, including the unbiased approach of GWAS and candidate gene approaches. The most important non-HLA genes that have been associated with JIA susceptibility are listed in Table S1 [81,82,83,84,87,90,102,104,105]. Many of these genes are widely expressed in haematopoietic tissues, including neutrophils and monocytes, and generally involved in T cell regulation and modulation, underlying once again the central role of both innate immune responses and adaptive immunity, through the modulation of many proinflammatory cytokines, including TNFα, highlighting interactions with each other in JIA pathophysiology [90]. Interestingly, oJIA and RF – pJIA share a common group of susceptibility loci, suggesting once again that these two subtypes could rather be the same disease, and that the number of affected joints should not even be considered a classification criterion, as suggested by Martini et al. [3]. Indeed, susceptibility to oJIA and RF − pJIA has been reported in several common non-HLA loci, including PTPN22, PTPN2, STAT4, C12orf30, COG6, ANGPT1, ADAD1-IL2-IL21 [84,101]. According to the new JIA classification criteria in progress, the diagnosis of RF + pJIA will be possible even with positive anticitrullinated peptide antibodies (ACPAs) [3]. This consideration can be helpful to understand how much this disorder is considered as the paediatric counterpart of adult RA. These two subtypes share a quite similar genetic background in addition to clinical features, and many susceptibility loci are in common, including TNFAIP3, PTPN22, and STAT4 [84,106]. In addition, no single genes have been evaluated for pJIA alone in the various studies, likely due to the pathophysiological differences between the RF− and RF+ polyarticular forms, which represent two distinct diseases, as outlined in the new JIA classification criteria that are currently being developed [3]. Many genes have been evaluated for sJIA susceptibility, but none of them has been found in common with other different JIA subtypes, evidencing the different genetic background of this form from the others (Table S1). Nevertheless, prevalence of JIA is globally low, and sample sizes for GWAS analysis are limited, forcing studies to be conducted on cohorts of mixed JIA subgroups [84]. However, the purpose of this review is not to describe all of these genes in detail, but rather to focus in more detail on historical genes associated with JIA susceptibility, such as PTPN22 and PTPN2, whose molecular aspects are better understood, and on genes related not to simple susceptibility but to monogenic forms of the disease.

3.3. Monogenic Forms of JIA

In view of the uncertainty surrounding JIA’s pathophysiology and categorisation, the discovery of four monogenic variants of JIA attributed to the genes LACC1, LRBA, NFIL3, and UNC13D has significantly increased the understanding of crucial molecular pathways of JIA [84]. The laccase domain-containing 1 (LACC1) gene encodes C13orf31/FAMIN, a key protein in the modulation of mitochondrial functionality [107]. Several different subtypes of JIA, including oJIA, RF – pJIA, sJIA, and ErA, have been described in association with autosomal recessive (AR) inherited SNP occurring in LACC1 [108,109,110]. The exact role of FAMIN is not fully understood, but it forms a dimeric complex with fatty acid synthase (FASN) on peroxisome, promoting both lipogenesis and ATP regeneration [84,107]. The pathogenic LACC1 mutation I254V (c.760A > G, p.Ile254Val) causes a serious impairment of FAMIN and is considered associated with the development of non-systemic JIA, inflammatory bowel diseases, and Behçet disease [84,111]. In addition, other important LACC1 pathogenic mutations have been associated with JIA, such as C284R (c.850T > C, p.Cys284Arg), which has been found in several consanguineous sJIA patients, and the frameshift p.Cys43Tyrfs*6 and p.T276fs*2 mutations, which have been confirmed respectively in severe oJIA and RF − pJIA patients [84,109]. A second monogenic form of JIA is that related to AR mutations occurring in the lipopolysaccharide (LPS)-responsive beige-like anchor (LRBA) gene. It encodes the protein LRBA, a central molecule in the negative modulation of the degradation of cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) proteins [84]. CTLA-4 reduces the activation of T lymphocytes by competing with their own protein cluster of differentiation 28 (CD28), necessary for the correct functioning of T cells through the TCR costimulation [84,112,113]. Growing evidence is proving that LRBA could be a lead actor in the autoantigen tolerance and immune system modulation. Its loss of function is responsible for a subset of common variable immunodeficiency (CVID), an immune dysregulation disorder in which up to 10% of patients develop an autoimmune disorder, and among these JIA is frequently observed, both in oligoarticular and polyarticular forms, probably due to a reduced CTLA-4 activity [112,114]. Recently, two monozygotic twin girls affected by oJIA have been discovered to be affected by a novel homozygous mutation M170I (c.510G>A, p.Met170Ile) in the gene NFIL3, which plays a role in the development and modulation of NK cells and cytokine production by Th2 cells [115]. Studies in vitro revealed a reduced stability of the homonym NFIL3 protein, and NFIL3-knockout mice showed increased IL-1β expression and more severe joint symptoms and disease course [84,115]. The unc-13 homolog D (UNC13D) gene is essential in the immunology synapse for the correct cytolytic granule secretion, and its reduced expression has been found to be associated with a decreased NK cell degranulation [84]. A heterozygous mutation occurring in a specific UNC13D intronic region has been regarded as responsible for development of sJIA and recurrent macrophage activation syndrome (MAS), probably due to an impaired lymphocyte-specific downregulation of the NF-kB [116,117,118]. However, despite the discovery of these four monogenic forms, JIA should be correctly considered a polygenic illness, due to complex interaction between a susceptible genetic background, involving both HLA and non-HLA alleles, and multiple environmental factors.

3.4. Environmental Factors

Together with the genetic susceptibility, several environmental factors may trigger and influence JIA with different mechanisms, including epigenetic changes, imbalance of microbiota, and immunity modulation [119]. Breastmilk has been related to a protective effect on JIA development [119]. Even if studies are controversial, a beneficial effect could be provided by breastfeeding due to probiotics and immunological protective factors, such as IL-10 and defensins [120]. In addition, early breastfeeding could modify the JIA phenotype and reduce disease severity [121]. Infectious agents could contribute to triggering JIA or influencing its course, even if there is currently only poor evidence. Interestingly, in countries where gastroenteritis is most common, ErA seem to have a higher incidence [119]. Prolonged antibiotic exposure has been associated with a higher development of JIA from two observational studies [122,123]. Given that smoking is the most important environmental risk factor for adult RA, the relationship between second-hand smoke exposure and JIA incidence has been evaluated, but inconclusive results have been reported [119,124]. Short-term pollutant exposure and bad air quality have been linked to JIA onset, but further evidence is needed [125,126]. The relationships between dietary habits and JIA, and residence and JIA, have also been evaluated, with inconsistent results [119]. No associations were detected with JIA and birth weight, even if pre-term children could have a higher risk to develop JIA [127]. No associations were detected between vitamin D serum levels and JIA development, even if a higher sun exposure during pregnancy could be a protective factor, through good levels of active vitamin D circulation [128,129]. In addition, small or inconsistent studies have focused on emotional stress and pet exposure during infancy [127,130].

4. Conclusions

JIA is a complex paediatric disease with multiple subtypes. Understanding the differences in the genetic background of the various subtypes, evaluating both HLA haplotypes and non-HLA genes, is critical to providing a better understanding of these disorders. It is known that oJIA and RF − pJIA share several genetic similarities in susceptible HLA haplotypes (mainly HLA-DRB1*08) and are characterised by a pathogenetic centrality of classic and non-classic Th1 cells and TNFα, while ErA appears to have peculiar molecular mechanisms, mainly involving HLA-B27 and IL-17. Although RF + pJIA may be considered the paediatric counterpart of adult RA, with a quite similar genetic background (such as the susceptibility for HLA-DRB1 and many clinical features), several differences have been highlighted with the other JIA subtypes, including the poor involvement of RF and ACPA in JIA pathogenesis, the centrality of CD4+ Th17/Th1 cells in oJIA, the importance of HLA-B27 in ErA and the autoinflammatory characteristics of sJIA. Furthermore, growing evidence suggests an inflammatory phenotype for sJIA, considering both genetic and molecular implications, such as the driving role of IL-1 and the different therapeutic strategies used to treat this form. Further genetic investigations and more detailed studies focusing on the molecular pathways of JIA will improve our understanding of the disease and help achieve more accurate classification criteria. A more comprehensive understanding of the molecular pathogenesis of JIA is a key goal to deliver more accurate targeted therapies and improve disease course and outcome.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24031846/s1.

Author Contributions

S.L.B., M.R. and G.D.D. (Giulia Di Donato): wrote the manuscript, conceptualised the paper, and realised the tables. A.D.L. wrote the manuscript and realised the figures. G.D.D. (Giulio Di Donato), V.S., L.B. and F.C. coordinated, reviewed, and approved the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This manuscript received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable to this article as no datasets were generated or analysed during the current study.

Acknowledgments

This article has not been published and is not being considered for publication elsewhere in whole or part in any language. There are no prior publications or submissions with any overlapping information.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ravelli, A.; Martini, A. Juvenile Idiopathic Arthritis. Lancet 2007, 369, 767–778. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Thierry, S.; Fautrel, B.; Lemelle, I.; Guillemin, F. Prevalence and Incidence of Juvenile Idiopathic Arthritis: A Systematic Review. Jt. Bone Spine 2014, 81, 112–117. [Google Scholar] [CrossRef] [PubMed]
  3. Martini, A.; Ravelli, A.; Avcin, T.; Beresford, M.W.; Burgos-Vargas, R.; Cuttica, R.; Ilowite, N.T.; Khubchandani, R.; Laxer, R.M.; Lovell, D.J.; et al. Toward New Classification Criteria for Juvenile Idiopathic Arthritis: First Steps, Pediatric Rheumatology International Trials Organization International Consensus. J. Rheumatol. 2019, 46, 190–197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Petty, R.E.; Southwood, T.R.; Manners, P.; Baum, J.; Glass, D.N.; Goldenberg, J.; He, X.; Maldonado-Cocco, J.; Orozco-Alcala, J.; Prieur, A.-M.; et al. International League of Associations for Rheumatology Classification of Juvenile Idiopathic Arthritis: Second Revision, Edmonton, 2001. J. Rheumatol. 2004, 31, 390–392. [Google Scholar]
  5. Prakken, B.; Albani, S.; Martini, A. Juvenile Idiopathic Arthritis. Lancet 2011, 377, 2138–2149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Gulati, R.; Kavadichanda, G.C.; Mariaselvam, C.M.; Kumar, G.; Negi, V.S. Association of HLA-G, HLA-E and HLA-B*27 with Susceptibility and Clinical Phenotype of Enthesitis Related Arthritis (ERA). Hum. Immunol. 2021, 82, 615–620. [Google Scholar] [CrossRef]
  7. Zaripova, L.N.; Midgley, A.; Christmas, S.E.; Beresford, M.W.; Baildam, E.M.; Oldershaw, R.A. Juvenile Idiopathic Arthritis: From Aetiopathogenesis to Therapeutic Approaches. Pediatr. Rheumatol. Online J. 2021, 19, 135. [Google Scholar] [CrossRef] [PubMed]
  8. Martini, A. It Is Time to Rethink Juvenile Idiopathic Arthritis Classification and Nomenclature. Ann. Rheum. Dis. 2012, 71, 1437–1439. [Google Scholar] [CrossRef] [PubMed]
  9. Liu, S.; Gong, W.; Liu, L.; Yan, R.; Wang, S.; Yuan, Z. Integrative Analysis of Transcriptome-Wide Association Study and Gene-Based Association Analysis Identifies In Silico Candidate Genes Associated with Juvenile Idiopathic Arthritis. Int. J. Mol. Sci. 2022, 23, 13555. [Google Scholar] [CrossRef] [PubMed]
  10. Schmidt, T.; Berthold, E.; Arve-Butler, S.; Gullstrand, B.; Mossberg, A.; Kahn, F.; Bengtsson, A.A.; Månsson, B.; Kahn, R. Children with Oligoarticular Juvenile Idiopathic Arthritis Have Skewed Synovial Monocyte Polarization Pattern with Functional Impairment—A Distinct Inflammatory Pattern for Oligoarticular Juvenile Arthritis. Arthritis Res. Ther. 2020, 22, 186. [Google Scholar] [CrossRef] [PubMed]
  11. Arve-Butler, S.; Schmidt, T.; Mossberg, A.; Berthold, E.; Gullstrand, B.; Bengtsson, A.A.; Kahn, F.; Kahn, R. Synovial Fluid Neutrophils in Oligoarticular Juvenile Idiopathic Arthritis Have an Altered Phenotype and Impaired Effector Functions. Arthritis Res. Ther. 2021, 23, 109. [Google Scholar] [CrossRef] [PubMed]
  12. Martini, A. Systemic Juvenile Idiopathic Arthritis. Autoimmun. Rev. 2012, 12, 56–59. [Google Scholar] [CrossRef]
  13. Vastert, S.J.; Kuis, W.; Grom, A.A. Systemic JIA: New Developments in the Understanding of the Pathophysiology and Therapy. Best Pract. Res. Clin. Rheumatol. 2009, 23, 655–664. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. de Jager, W.; Hoppenreijs, E.P.A.H.; Wulffraat, N.M.; Wedderburn, L.R.; Kuis, W.; Prakken, B.J. Blood and Synovial Fluid Cytokine Signatures in Patients with Juvenile Idiopathic Arthritis: A Cross-Sectional Study. Ann. Rheum. Dis. 2007, 66, 589–598. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Feng, M.; Kang, M.; He, F.; Xiao, Z.; Liu, Z.; Yao, H.; Wu, J. Plasma Interleukin-37 Is Increased and Inhibits the Production of Inflammatory Cytokines in Peripheral Blood Mononuclear Cells in Systemic Juvenile Idiopathic Arthritis Patients. J. Transl. Med. 2018, 16, 277. [Google Scholar] [CrossRef] [PubMed]
  16. Hersh, A.O.; Prahalad, S. Immunogenetics of Juvenile Idiopathic Arthritis: A Comprehensive Review. J. Autoimmun. 2015, 64, 113–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Cobb, J.E.; Hinks, A.; Thomson, W. The Genetics of Juvenile Idiopathic Arthritis: Current Understanding and Future Prospects. Rheumatology 2014, 53, 592–599. [Google Scholar] [CrossRef] [Green Version]
  18. Mahmud, S.A.; Binstadt, B.A. Autoantibodies in the Pathogenesis, Diagnosis, and Prognosis of Juvenile Idiopathic Arthritis. Front. Immunol. 2018, 9, 3168. [Google Scholar] [CrossRef] [Green Version]
  19. de Silvestri, A.; Capittini, C.; Poddighe, D.; Marseglia, G.L.; Mascaretti, L.; Bevilacqua, E.; Scotti, V.; Rebuffi, C.; Pasi, A.; Martinetti, M.; et al. HLA-DRB1 Alleles and Juvenile Idiopathic Arthritis: Diagnostic Clues Emerging from a Meta-Analysis. Autoimmun. Rev. 2017, 16, 1230–1236. [Google Scholar] [CrossRef]
  20. Hollenbach, J.A.; Thompson, S.D.; Bugawan, T.L.; Ryan, M.; Sudman, M.; Marion, M.; Langefeld, C.D.; Thomson, G.; Erlich, H.A.; Glass, D.N. Juvenile Idiopathic Arthritis and HLA Class I and Class II Interactions and Age-at-Onset Effects. Arthritis Rheum. 2010, 62, 1781–1791. [Google Scholar] [CrossRef] [Green Version]
  21. Vehe, R.K.; Begovich, A.B.; Nepom, B.S. HLA Susceptibility Genes in Rheumatoid Factor Positive Juvenile Rheumatoid Arthritis. J. Rheumatol. Suppl. 1990, 26, 11–15. [Google Scholar] [PubMed]
  22. Woo, P. Cytokines and Juvenile Idiopathic Arthritis. Curr. Rheumatol. Rep. 2002, 4, 452–457. [Google Scholar] [CrossRef] [PubMed]
  23. Choy, E.H.; Panayi, G.S. Cytokine Pathways and Joint Inflammation in Rheumatoid Arthritis. N. Engl. J. Med. 2001, 344, 907–916. [Google Scholar] [CrossRef] [PubMed]
  24. Wojdas, M.; Dąbkowska, K.; Winsz-Szczotka, K. Alterations of Extracellular Matrix Components in the Course of Juvenile Idiopathic Arthritis. Metabolites 2021, 11, 132. [Google Scholar] [CrossRef] [PubMed]
  25. Stagi, S.; Cavalli, L.; Signorini, C.; Bertini, F.; Cerinic, M.; Brandi, M.; Falcini, F. Bone Mass and Quality in Patients with Juvenile Idiopathic Arthritis: Longitudinal Evaluation of Bone-Mass Determinants by Using Dual-Energy X-ray Absorptiometry, Peripheral Quantitative Computed Tomography, and Quantitative Ultrasonography. Arthritis Res. Ther. 2014, 16, R83. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Annunziato, F.; Cosmi, L.; Liotta, F.; Maggi, E.; Romagnani, S. Defining the Human T Helper 17 Cell Phenotype. Trends Immunol. 2012, 33, 505–512. [Google Scholar] [CrossRef] [PubMed]
  27. Maggi, L.; Mazzoni, A.; Cimaz, R.; Liotta, F.; Annunziato, F.; Cosmi, L. Th17 and Th1 Lymphocytes in Oligoarticular Juvenile Idiopathic Arthritis. Front. Immunol. 2019, 10, 450. [Google Scholar] [CrossRef] [Green Version]
  28. Patrick, A.E.; Shoaff, K.; Esmond, T.; Patrick, D.M.; Flaherty, D.K.; Graham, T.B.; Crooke, P.S.; Thompson, S.; Aune, T.M. Increased Development of Th1, Th17, and Th1.17 Cells Under T1 Polarizing Conditions in Juvenile Idiopathic Arthritis. Front. Immunol. 2022, 13, 848168. [Google Scholar] [CrossRef]
  29. Romagnani, S. Lymphokine Production by Human T Cells in Disease States. Annu. Rev. Immunol. 1994, 12, 227–257. [Google Scholar] [CrossRef] [PubMed]
  30. Ouyang, W.; Kolls, J.K.; Zheng, Y. The Biological Functions of T Helper 17 Cell Effector Cytokines in Inflammation. Immunity 2008, 28, 454–467. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Maggi, L.; Cosmi, L.; Simonini, G.; Annunziato, F.; Cimaz, R. T Cell Subpopulations in Juvenile Idiopathic Arthritis and Their Modifications after Biotherapies. Autoimmun. Rev. 2016, 15, 1141–1144. [Google Scholar] [CrossRef]
  32. Cosmi, L.; Cimaz, R.; Maggi, L.; Santarlasci, V.; Capone, M.; Borriello, F.; Frosali, F.; Querci, V.; Simonini, G.; Barra, G.; et al. Evidence of the Transient Nature of the Th17 Phenotype of CD4+CD161+ T Cells in the Synovial Fluid of Patients with Juvenile Idiopathic Arthritis. Arthritis Rheum. 2011, 63, 2504–2515. [Google Scholar] [CrossRef] [PubMed]
  33. Nistala, K.; Adams, S.; Cambrook, H.; Ursu, S.; Olivito, B.; de Jager, W.; Evans, J.G.; Cimaz, R.; Bajaj-Elliott, M.; Wedderburn, L.R. Th17 Plasticity in Human Autoimmune Arthritis Is Driven by the Inflammatory Environment. Proc. Natl. Acad. Sci. USA 2010, 107, 14751–14756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Nistala, K.; Moncrieffe, H.; Newton, K.R.; Varsani, H.; Hunter, P.; Wedderburn, L.R. Interleukin-17–Producing T Cells Are Enriched in the Joints of Children with Arthritis, but Have a Reciprocal Relationship to Regulatory T Cell Numbers. Arthritis Rheum 2008, 58, 875–887. [Google Scholar] [CrossRef]
  35. Correll, C.K.; Binstadt, B.A. Advances in the Pathogenesis and Treatment of Systemic Juvenile Idiopathic Arthritis. Pediatr. Res. 2014, 75, 176–183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Jang, D.-I.; Lee, A.-H.; Shin, H.-Y.; Song, H.-R.; Park, J.-H.; Kang, T.-B.; Lee, S.-R.; Yang, S.-H. The Role of Tumor Necrosis Factor Alpha (TNF-α) in Autoimmune Disease and Current TNF-α Inhibitors in Therapeutics. Int. J. Mol. Sci. 2021, 22, 2719. [Google Scholar] [CrossRef]
  37. Ogawa, E.; Sato, Y.; Minagawa, A.; Okuyama, R. Pathogenesis of Psoriasis and Development of Treatment. J. Dermatol. 2018, 45, 264–272. [Google Scholar] [CrossRef] [Green Version]
  38. Ritchlin, C.T.; Colbert, R.A.; Gladman, D.D. Psoriatic Arthritis. N. Engl. J. Med. 2017, 376, 957–970. [Google Scholar] [CrossRef] [Green Version]
  39. O’Rourke, M.; Fearon, U.; Sweeney, C.M.; Basdeo, S.A.; Fletcher, J.M.; Murphy, C.C.; Canavan, M. The Pathogenic Role of Dendritic Cells in Non-Infectious Anterior Uveitis. Exp. Eye Res. 2018, 173, 121–128. [Google Scholar] [CrossRef]
  40. Leal, I.; Rodrigues, F.B.; Sousa, D.C.; Duarte, G.S.; Romão, V.C.; Marques-Neves, C.; Costa, J.; Fonseca, J.E. Anti-TNF Drugs for Chronic Uveitis in Adults—A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Front. Med. 2019, 6, 104. [Google Scholar] [CrossRef] [Green Version]
  41. Forrester, J.V.; Kuffova, L.; Dick, A.D. Autoimmunity, Autoinflammation, and Infection in Uveitis. Am. J. Ophthalmol. 2018, 189, 77–85. [Google Scholar] [CrossRef] [PubMed]
  42. Gilbert, R.M.; Zhang, X.; Sampson, R.D.; Ehrenstein, M.R.; Nguyen, D.X.; Chaudhry, M.; Mein, C.; Mahmud, N.; Galatowicz, G.; Tomkins-Netzer, O.; et al. Clinical Remission of Sight-Threatening Non-Infectious Uveitis Is Characterized by an Upregulation of Peripheral T-Regulatory Cell Polarized Towards T-Bet and TIGIT. Front. Immunol. 2018, 9, 907. [Google Scholar] [CrossRef] [Green Version]
  43. Scardapane, A.; Ferrante, R.; Nozzi, M.; Savino, A.; Antonucci, I.; Dadorante, V.; Balsamo, M.; Stuppia, L.; Chiarelli, F.; Breda, L. TNF-α Gene Polymorphisms and Juvenile Idiopathic Arthritis: Influence on Disease Outcome and Therapeutic Response. Semin. Arthritis Rheum. 2015, 45, 35–41. [Google Scholar] [CrossRef] [PubMed]
  44. Lovell, D.J.; Reiff, A.; Jones, O.Y.; Schneider, R.; Nocton, J.; Stein, L.D.; Gedalia, A.; Ilowite, N.T.; Wallace, C.A.; Whitmore, J.B.; et al. Long-Term Safety and Efficacy of Etanercept in Children with Polyarticular-Course Juvenile Rheumatoid Arthritis. Arthritis Rheum. 2006, 54, 1987–1994. [Google Scholar] [CrossRef]
  45. Cimaz, R.; Maioli, G.; Calabrese, G. Current and Emerging Biologics for the Treatment of Juvenile Idiopathic Arthritis. Expert Opin. Biol. Ther. 2020, 20, 725–740. [Google Scholar] [CrossRef] [PubMed]
  46. Burmester, G.R.; Panaccione, R.; Gordon, K.B.; McIlraith, M.J.; Lacerda, A.P.M. Adalimumab: Long-Term Safety in 23 458 Patients from Global Clinical Trials in Rheumatoid Arthritis, Juvenile Idiopathic Arthritis, Ankylosing Spondylitis, Psoriatic Arthritis, Psoriasis and Crohn’s Disease. Ann. Rheum. Dis. 2013, 72, 517–524. [Google Scholar] [CrossRef]
  47. Murdaca, G.; Negrini, S.; Magnani, O.; Penza, E.; Pellecchio, M.; Gulli, R.; Mandich, P.; Puppo, F. Update upon Efficacy and Safety of Etanercept for the Treatment of Spondyloarthritis and Juvenile Idiopathic Arthritis. Mod. Rheumatol. 2018, 28, 417–431. [Google Scholar] [CrossRef]
  48. Dinarello, C.A. Immunological and Inflammatory Functions of the Interleukin-1 Family. Annu. Rev. Immunol. 2009, 27, 519–550. [Google Scholar] [CrossRef]
  49. Weber, A.; Wasiliew, P.; Kracht, M. Interleukin-1 (IL-1) Pathway. Sci. Signal. 2010, 3, cm1. [Google Scholar] [CrossRef]
  50. Pascual, V.; Allantaz, F.; Arce, E.; Punaro, M.; Banchereau, J. Role of Interleukin-1 (IL-1) in the Pathogenesis of Systemic Onset Juvenile Idiopathic Arthritis and Clinical Response to IL-1 Blockade. J. Exp. Med. 2005, 201, 1479–1486. [Google Scholar] [CrossRef] [Green Version]
  51. Hunter, C.A.; Jones, S.A. IL-6 as a Keystone Cytokine in Health and Disease. Nat. Immunol. 2015, 16, 448–457. [Google Scholar] [CrossRef] [PubMed]
  52. Szymańska-Kałuża, J.; Cebula-Obrzut, B.; Smolewski, P.; Stanczyk, J.; Smolewska, E. Imbalance of Th17 and T-Regulatory Cells in Peripheral Blood and Synovial Fluid in Treatment Naïve Children with Juvenile Idiopathic Arthritis. Cent. Eur. J. Immunol. 2014, 39, 71–76. [Google Scholar] [CrossRef] [Green Version]
  53. Akioka, S. Interleukin-6 in Juvenile Idiopathic Arthritis. Mod. Rheumatol. 2019, 29, 275–286. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. de Benedetti, F.; Massa, M.; Robbioni, P.; Ravelli, A.; Burgio, G.R.; Martini, A. Correlation of Serum Interleukin-6 Levels with Joint Involvement and Thrombocytosis in Systemic Juvenile Rheumatoid Arthritis. Arthritis Rheum. 1991, 34, 1158–1163. [Google Scholar] [CrossRef] [PubMed]
  55. Pesenacker, A.M.; Bending, D.; Ursu, S.; Wu, Q.; Nistala, K.; Wedderburn, L.R. CD161 Defines the Subset of FoxP3+ T Cells Capable of Producing Proinflammatory Cytokines. Blood 2013, 121, 2647–2658. [Google Scholar] [CrossRef] [Green Version]
  56. Put, K.; Vandenhaute, J.; Avau, A.; van Nieuwenhuijze, A.; Brisse, E.; Dierckx, T.; Rutgeerts, O.; Garcia-Perez, J.E.; Toelen, J.; Waer, M.; et al. Inflammatory Gene Expression Profile and Defective Interferon-γ and Granzyme K in Natural Killer Cells From Systemic Juvenile Idiopathic Arthritis Patients. Arthritis Rheumatol. 2017, 69, 213–224. [Google Scholar] [CrossRef]
  57. Bleil, J.; Maier, R.; Syrbe, U.; Sieper, J.; Appel, H. In Situ Analysis of Interleukin-6 Expression at Different Sites of Zygapophyseal Joints from Patients with Ankylosing Spondylitis in Comparison to Controls. Scand. J. Rheumatol. 2015, 44, 296–301. [Google Scholar] [CrossRef] [PubMed]
  58. Layh-Schmitt, G.; Colbert, R.A. The Interleukin-23/Interleukin-17 Axis in Spondyloarthritis. Curr. Opin. Rheumatol. 2008, 20, 392–397. [Google Scholar] [CrossRef] [Green Version]
  59. Yago, T.; Nanke, Y.; Kawamoto, M.; Kobashigawa, T.; Yamanaka, H.; Kotake, S. IL-23 and Th17 Disease in Inflammatory Arthritis. J. Clin. Med. 2017, 6, 81. [Google Scholar] [CrossRef] [Green Version]
  60. Guo, W.; Yu, D.; Wang, X.; Luo, C.; Chen, Y.; Lei, W.; Wang, C.; Ge, Y.; Xue, W.; Tian, Q.; et al. Anti-Inflammatory Effects of Interleukin-23 Receptor Cytokine-Binding Homology Region Rebalance T Cell Distribution in Rodent Collagen-Induced Arthritis. Oncotarget 2016, 7, 31800–31813. [Google Scholar] [CrossRef] [Green Version]
  61. Stockinger, B.; Omenetti, S. The Dichotomous Nature of T Helper 17 Cells. Nat. Rev. Immunol. 2017, 17, 535–544. [Google Scholar] [CrossRef] [PubMed]
  62. Yao, Z.; Painter, S.L.; Fanslow, W.C.; Ulrich, D.; Macduff, B.M.; Spriggs, M.K.; Armitage, R.J. Human IL-17: A Novel Cytokine Derived from T Cells. J. Immunol. 1995, 155, 5483–5486. [Google Scholar] [CrossRef]
  63. Ogura, H.; Murakami, M.; Okuyama, Y.; Tsuruoka, M.; Kitabayashi, C.; Kanamoto, M.; Nishihara, M.; Iwakura, Y.; Hirano, T. Interleukin-17 Promotes Autoimmunity by Triggering a Positive-Feedback Loop via Interleukin-6 Induction. Immunity 2008, 29, 628–636. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Veldhoen, M. Interleukin 17 Is a Chief Orchestrator of Immunity. Nat. Immunol. 2017, 18, 612–621. [Google Scholar] [CrossRef] [PubMed]
  65. Ferguson, I.D.; Griffin, P.; Michel, J.J.; Yano, H.; Gaffen, S.L.; Mueller, R.G.; Dvergsten, J.A.; Piganelli, J.D.; Rosenkranz, M.E.; Kietz, D.A.; et al. T Cell Receptor-Independent, CD31/IL-17A-Driven Inflammatory Axis Shapes Synovitis in Juvenile Idiopathic Arthritis. Front. Immunol. 2018, 9, 1802. [Google Scholar] [CrossRef]
  66. Agarwal, S.; Misra, R.; Aggarwal, A. Interleukin 17 Levels Are Increased in Juvenile Idiopathic Arthritis Synovial Fluid and Induce Synovial Fibroblasts to Produce Proinflammatory Cytokines and Matrix Metalloproteinases. J. Rheumatol. 2008, 35, 515–519. [Google Scholar] [PubMed]
  67. Paroli, M.; Spadea, L.; Caccavale, R.; Spadea, L.; Paroli, M.P.; Nante, N. The Role of Interleukin-17 in Juvenile Idiopathic Arthritis: From Pathogenesis to Treatment. Medicina 2022, 58, 1552. [Google Scholar] [CrossRef]
  68. Neumann, C.; Scheffold, A.; Rutz, S. Functions and Regulation of T Cell-Derived Interleukin-10. Semin. Immunol. 2019, 44, 101344. [Google Scholar] [CrossRef]
  69. Wei, H.; Li, B.; Sun, A.; Guo, F. Interleukin-10 Family Cytokines Immunobiology and Structure. Adv. Exp. Med. Biol. 2019, 1172, 79–96. [Google Scholar]
  70. Peng, Y.; Liu, X.; Duan, Z.; Duan, J.; Zhou, Y. The Association of Serum IL-10 Levels with the Disease Activity in Systemic-Onset Juvenile Idiopathic Arthritis Patients. Mediat. Inflamm. 2021, 2021, 1–7. [Google Scholar] [CrossRef]
  71. Sun, Y.; Wang, Z.; Chi, H.; Hu, Q.; Ye, J.; Liu, H.; Cheng, X.; Shi, H.; Zhou, Z.; Teng, J.; et al. Elevated Serum Levels of Interleukin-10 in Adult-Onset Still’s Disease Are Associated with Disease Activity. Clin. Rheumatol. 2019, 38, 3205–3210. [Google Scholar] [CrossRef] [PubMed]
  72. Feist, E.; Mitrovic, S.; Fautrel, B. Mechanisms, Biomarkers and Targets for Adult-Onset Still’s Disease. Nat. Rev. Rheumatol. 2018, 14, 603–618. [Google Scholar] [CrossRef] [PubMed]
  73. Theodoropoulou, K.; Georgin-Lavialle, S. Systemic Juvenile Onset Idiopathic Arthritis and Adult Onset Still Disease. Rev. Med. Suisse 2018, 14, 372–377. [Google Scholar]
  74. Fischer, J.; Dirks, J.; Haase, G.; Holl-Wieden, A.; Hofmann, C.; Girschick, H.; Morbach, H. IL-21+ CD4+ T Helper Cells Co-Expressing IFN-γ and TNF-α Accumulate in the Joints of Antinuclear Antibody Positive Patients with Juvenile Idiopathic Arthritis. Clin. Immunol. 2020, 217, 108484. [Google Scholar] [CrossRef] [PubMed]
  75. Crotty, S. Follicular Helper CD4 T Cells (T FH). Annu. Rev. Immunol. 2011, 29, 621–663. [Google Scholar] [CrossRef]
  76. Prahalad, S.; Glass, D.N. A Comprehensive Review of the Genetics of Juvenile Idiopathic Arthritis. Pediatr. Rheumatol. 2008, 6, 11. [Google Scholar] [CrossRef] [Green Version]
  77. Prahalad, S. Genetic Analysis of Juvenile Rheumatoid Arthritis: Approaches to Complex Traits. Curr. Probl. Pediatr. Adolesc. Health Care 2006, 36, 83–90. [Google Scholar] [CrossRef]
  78. Prahalad, S.; O’brien, E.; Fraser, A.M.; Kerber, R.A.; Mineau, G.P.; Pratt, D.; Donaldson, D.; Bamshad, M.J.; Bohnsack, J. Familial Aggregation of Juvenile Idiopathic Arthritis. Arthritis Rheum. 2004, 50, 4022–4027. [Google Scholar] [CrossRef]
  79. Moroldo, M.B.; Tague, B.L.; Shear, E.S.; Glass, D.N.; Giannini, E.H. Juvenile Rheumatoid Arthritis in Affected Sibpairs. Arthritis Rheum. 1997, 40, 1962–1966. [Google Scholar] [CrossRef]
  80. Prahalad, S.; McCracken, C.E.; Ponder, L.A.; Angeles-Han, S.T.; Rouster Stevens, K.A.; Vogler, L.B.; Langefeld, C.D.; Thompson, S.D. Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry Investigators Familial Autoimmunity in the Childhood Arthritis and Rheumatology Research Alliance Registry. Pediatr. Rheumatol. Online. J. 2016, 14, 14. [Google Scholar] [CrossRef] [Green Version]
  81. Ombrello, M.J.; Arthur, V.L.; Remmers, E.F.; Hinks, A.; Tachmazidou, I.; Grom, A.A.; Foell, D.; Martini, A.; Gattorno, M.; Özen, S.; et al. Genetic Architecture Distinguishes Systemic Juvenile Idiopathic Arthritis from Other Forms of Juvenile Idiopathic Arthritis: Clinical and Therapeutic Implications. Ann. Rheum. Dis. 2017, 76, 906–913. [Google Scholar] [CrossRef] [PubMed]
  82. Nikopensius, T.; Niibo, P.; Haller, T.; Jagomägi, T.; Voog-Oras, Ü.; Tõnisson, N.; Metspalu, A.; Saag, M.; Pruunsild, C. Association Analysis of Juvenile Idiopathic Arthritis Genetic Susceptibility Factors in Estonian Patients. Clin. Rheumatol. 2021, 40, 4157–4165. [Google Scholar] [CrossRef] [PubMed]
  83. McIntosh, L.A.; Marion, M.C.; Sudman, M.; Comeau, M.E.; Becker, M.L.; Bohnsack, J.F.; Fingerlin, T.E.; Griffin, T.A.; Haas, J.P.; Lovell, D.J.; et al. Genome-Wide Association Meta-Analysis Reveals Novel Juvenile Idiopathic Arthritis Susceptibility Loci. Arthritis Rheumatol. 2017, 69, 2222–2232. [Google Scholar] [CrossRef]
  84. Hou, X.; Qu, H.; Zhang, S.; Qi, X.; Hakonarson, H.; Xia, Q.; Li, J. The Multi-Omics Architecture of Juvenile Idiopathic Arthritis. Cells 2020, 9, 2301. [Google Scholar] [CrossRef] [PubMed]
  85. Hinks, A.; Bowes, J.; Cobb, J.; Ainsworth, H.C.; Marion, M.C.; Comeau, M.E.; Sudman, M.; Han, B.; Becker, M.L.; Bohnsack, J.F.; et al. Fine-Mapping the MHC Locus in Juvenile Idiopathic Arthritis (JIA) Reveals Genetic Heterogeneity Corresponding to Distinct Adult Inflammatory Arthritic Diseases. Ann. Rheum. Dis. 2017, 76, 765–772. [Google Scholar] [CrossRef] [Green Version]
  86. Raychaudhuri, S.; Sandor, C.; Stahl, E.A.; Freudenberg, J.; Lee, H.-S.; Jia, X.; Alfredsson, L.; Padyukov, L.; Klareskog, L.; Worthington, J.; et al. Five Amino Acids in Three HLA Proteins Explain Most of the Association between MHC and Seropositive Rheumatoid Arthritis. Nat. Genet. 2012, 44, 291–296. [Google Scholar] [CrossRef]
  87. Hinks, A.; Cobb, J.; Marion, M.C.; Prahalad, S.; Sudman, M.; Bowes, J.; Martin, P.; Comeau, M.E.; Sajuthi, S.; Andrews, R.; et al. Dense Genotyping of Immune-Related Disease Regions Identifies 14 New Susceptibility Loci for Juvenile Idiopathic Arthritis. Nat. Genet. 2013, 45, 664–669. [Google Scholar] [CrossRef] [PubMed]
  88. Thomson, W.; Barrett, J.H.; Donn, R.; Pepper, L.; Kennedy, L.J.; Ollier, W.E.R.; Silman, A.J.S.; Woo, P.; Southwood, T. British Paediatric Rheumatology Study Group Juvenile Idiopathic Arthritis Classified by the ILAR Criteria: HLA Associations in UK Patients. Rheumatol. (Oxf.) 2002, 41, 1183–1189. [Google Scholar] [CrossRef] [Green Version]
  89. Date, Y.; Seki, N.; Kamizono, S.; Higuchi, T.; Hirata, T.; Miyata, K.; Ohkuni, M.; Tatsuzawa, O.; Yokota, S.; Joo, K.; et al. Identification of a Genetic Risk Factor for Systemic Juvenile Rheumatoid Arthritis in the 5’-Flanking Region of the TNFalpha Gene and HLA Genes. Arthritis Rheum. 1999, 42, 2577–2582. [Google Scholar] [CrossRef]
  90. Nigrovic, P.A.; Martínez-Bonet, M.; Thompson, S.D. Implications of Juvenile Idiopathic Arthritis Genetic Risk Variants for Disease Pathogenesis and Classification. Curr. Opin. Rheumatol. 2019, 31, 401–410. [Google Scholar] [CrossRef]
  91. Bottini, N.; Peterson, E.J. Tyrosine Phosphatase PTPN22: Multifunctional Regulator of Immune Signaling, Development, and Disease. Annu. Rev. Immunol. 2014, 32, 83–119. [Google Scholar] [CrossRef]
  92. Brownlie, R.J.; Miosge, L.A.; Vassilakos, D.; Svensson, L.M.; Cope, A.; Zamoyska, R. Lack of the Phosphatase PTPN22 Increases Adhesion of Murine Regulatory T Cells to Improve Their Immunosuppressive Function. Sci. Signal. 2012, 5, ra87. [Google Scholar] [CrossRef] [Green Version]
  93. Hasegawa, K.; Martin, F.; Huang, G.; Tumas, D.; Diehl, L.; Chan, A.C. PEST Domain-Enriched Tyrosine Phosphatase (PEP) Regulation of Effector/Memory T Cells. Science 2004, 303, 685–689. [Google Scholar] [CrossRef]
  94. Begovich, A.B.; Carlton, V.E.H.; Honigberg, L.A.; Schrodi, S.J.; Chokkalingam, A.P.; Alexander, H.C.; Ardlie, K.G.; Huang, Q.; Smith, A.M.; Spoerke, J.M.; et al. A Missense Single-Nucleotide Polymorphism in a Gene Encoding a Protein Tyrosine Phosphatase (PTPN22) Is Associated with Rheumatoid Arthritis. Am. J. Hum. Genet. 2004, 75, 330–337. [Google Scholar] [CrossRef] [Green Version]
  95. Onengut-Gumuscu, S.; Ewens, K.G.; Spielman, R.S.; Concannon, P. A Functional Polymorphism (1858C/T) in the PTPN22 Gene Is Linked and Associated with Type I Diabetes in Multiplex Families. Genes. Immun. 2004, 5, 678–680. [Google Scholar] [CrossRef]
  96. Wellcome Trust Case Control Consortium. Genome-Wide Association Study of 14,000 Cases of Seven Common Diseases and 3,000 Shared Controls. Nature 2007, 447, 661–678. [Google Scholar] [CrossRef] [Green Version]
  97. Kyogoku, C.; Langefeld, C.D.; Ortmann, W.A.; Lee, A.; Selby, S.; Carlton, V.E.H.; Chang, M.; Ramos, P.; Baechler, E.C.; Batliwalla, F.M.; et al. Genetic Association of the R620W Polymorphism of Protein Tyrosine Phosphatase PTPN22 with Human SLE. Am. J. Hum. Genet. 2004, 75, 504–507. [Google Scholar] [CrossRef] [Green Version]
  98. Hinks, A.; Barton, A.; John, S.; Bruce, I.; Hawkins, C.; Griffiths, C.E.M.; Donn, R.; Thomson, W.; Silman, A.; Worthington, J. Association between the PTPN22 Gene and Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in a UK Population: Further Support That PTPN22 Is an Autoimmunity Gene. Arthritis Rheum. 2005, 52, 1694–1699. [Google Scholar] [CrossRef]
  99. Viken, M.K.; Amundsen, S.S.; Kvien, T.K.; Boberg, K.M.; Gilboe, I.M.; Lilleby, V.; Sollid, L.M.; Førre, O.T.; Thorsby, E.; Smerdel, A.; et al. Association Analysis of the 1858C>T Polymorphism in the PTPN22 Gene in Juvenile Idiopathic Arthritis and Other Autoimmune Diseases. Genes Immun. 2005, 6, 271–273. [Google Scholar] [CrossRef] [Green Version]
  100. Zheng, J.; Ibrahim, S.; Petersen, F.; Yu, X. Meta-Analysis Reveals an Association of PTPN22 C1858T with Autoimmune Diseases, Which Depends on the Localization of the Affected Tissue. Genes Immun. 2012, 13, 641–652. [Google Scholar] [CrossRef]
  101. Thompson, S.D.; Sudman, M.; Ramos, P.S.; Marion, M.C.; Ryan, M.; Tsoras, M.; Weiler, T.; Wagner, M.; Keddache, M.; Haas, J.P.; et al. The Susceptibility Loci Juvenile Idiopathic Arthritis Shares with Other Autoimmune Diseases Extend to PTPN2, COG6, and ANGPT1. Arthritis Rheum. 2010, 62, 3265–3276. [Google Scholar] [CrossRef] [PubMed]
  102. López-Isac, E.; Smith, S.L.; Marion, M.C.; Wood, A.; Sudman, M.; Yarwood, A.; Shi, C.; Gaddi, V.P.; Martin, P.; Prahalad, S.; et al. Combined Genetic Analysis of Juvenile Idiopathic Arthritis Clinical Subtypes Identifies Novel Risk Loci, Target Genes and Key Regulatory Mechanisms. Ann. Rheum. Dis. 2021, 80, 321–328. [Google Scholar] [CrossRef] [PubMed]
  103. Fairfax, B.P.; Humburg, P.; Makino, S.; Naranbhai, V.; Wong, D.; Lau, E.; Jostins, L.; Plant, K.; Andrews, R.; McGee, C.; et al. Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression. Science 2014, 343, 1246949. [Google Scholar] [CrossRef] [PubMed]
  104. Li, Y.R.; Li, J.; Zhao, S.D.; Bradfield, J.P.; Mentch, F.D.; Maggadottir, S.M.; Hou, C.; Abrams, D.J.; Chang, D.; Gao, F.; et al. Meta-Analysis of Shared Genetic Architecture across Ten Pediatric Autoimmune Diseases. Nat. Med. 2015, 21, 1018–1027. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Arthur, V.L.; Shuldiner, E.; Remmers, E.F.; Hinks, A.; Grom, A.A.; Foell, D.; Martini, A.; Gattorno, M.; Özen, S.; Prahalad, S.; et al. IL1RN Variation Influences Both Disease Susceptibility and Response to Recombinant Human Interleukin-1 Receptor Antagonist Therapy in Systemic Juvenile Idiopathic Arthritis. Arthritis Rheumatol. 2018, 70, 1319–1330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Prahalad, S.; Conneely, K.N.; Jiang, Y.; Sudman, M.; Wallace, C.A.; Brown, M.R.; Ponder, L.A.; Rohani-Pichavant, M.; Zwick, M.E.; Cutler, D.J.; et al. Susceptibility to Childhood-Onset Rheumatoid Arthritis: Investigation of a Weighted Genetic Risk Score That Integrates Cumulative Effects of Variants at Five Genetic Loci. Arthritis Rheum. 2013, 65, 1663–1667. [Google Scholar] [CrossRef]
  107. Cader, M.Z.; Boroviak, K.; Zhang, Q.; Assadi, G.; Kempster, S.L.; Sewell, G.W.; Saveljeva, S.; Ashcroft, J.W.; Clare, S.; Mukhopadhyay, S.; et al. C13orf31 (FAMIN) Is a Central Regulator of Immunometabolic Function. Nat. Immunol. 2016, 17, 1046–1056. [Google Scholar] [CrossRef] [Green Version]
  108. Karacan, I.; Uğurlu, S.; Şahin, S.; Everest, E.; Kasapçopur, Ö.; Tolun, A.; Özdoğan, H.; Turanli, E.T. LACC1 Gene Defects in Familial Form of Juvenile Arthritis. J. Rheumatol. 2018, 45, 726–728. [Google Scholar] [CrossRef] [Green Version]
  109. Rabionet, R.; Remesal, A.; Mensa-Vilaró, A.; Murías, S.; Alcobendas, R.; González-Roca, E.; Ruiz-Ortiz, E.; Antón, J.; Iglesias, E.; Modesto, C.; et al. Biallelic Loss-of-Function LACC1/FAMIN Mutations Presenting as Rheumatoid Factor-Negative Polyarticular Juvenile Idiopathic Arthritis. Sci. Rep. 2019, 9, 4579. [Google Scholar] [CrossRef] [Green Version]
  110. Kallinich, T.; Thorwarth, A.; von Stuckrad, S.-L.; Rösen-Wolff, A.; Luksch, H.; Hundsdoerfer, P.; Minden, K.; Krawitz, P. Juvenile Arthritis Caused by a Novel FAMIN (LACC1) Mutation in Two Children with Systemic and Extended Oligoarticular Course. Pediatr. Rheumatol. Online J. 2016, 14, 63. [Google Scholar] [CrossRef] [Green Version]
  111. Lahiri, A.; Hedl, M.; Yan, J.; Abraham, C. Human LACC1 Increases Innate Receptor-Induced Responses and a LACC1 Disease-Risk Variant Modulates These Outcomes. Nat. Commun. 2017, 8, 15614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Lopez-Herrera, G.; Tampella, G.; Pan-Hammarström, Q.; Herholz, P.; Trujillo-Vargas, C.M.; Phadwal, K.; Simon, A.K.; Moutschen, M.; Etzioni, A.; Mory, A.; et al. Deleterious Mutations in LRBA Are Associated with a Syndrome of Immune Deficiency and Autoimmunity. Am. J. Hum. Genet. 2012, 90, 986–1001. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Lo, B.; Fritz, J.M.; Su, H.C.; Uzel, G.; Jordan, M.B.; Lenardo, M.J. CHAI and LATAIE: New Genetic Diseases of CTLA-4 Checkpoint Insufficiency. Blood 2016, 128, 1037–1042. [Google Scholar] [CrossRef]
  114. Semo Oz, R.; Tesher, M.S. Arthritis in Children with LRBA Deficiency–Case Report and Literature Review. Pediatr. Rheumatol. 2019, 17, 82. [Google Scholar] [CrossRef] [PubMed]
  115. Schlenner, S.; Pasciuto, E.; Lagou, V.; Burton, O.; Prezzemolo, T.; Junius, S.; Roca, C.P.; Seillet, C.; Louis, C.; Dooley, J.; et al. NFIL3 Mutations Alter Immune Homeostasis and Sensitise for Arthritis Pathology. Ann. Rheum. Dis. 2019, 78, 342–349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  116. Hazen, M.M.; Woodward, A.L.; Hofmann, I.; Degar, B.A.; Grom, A.; Filipovich, A.H.; Binstadt, B.A. Mutations of the Hemophagocytic Lymphohistiocytosis–Associated GeneUNC13D in a Patient with Systemic Juvenile Idiopathic Arthritis. Arthritis Rheum. 2008, 58, 567–570. [Google Scholar] [CrossRef]
  117. Zhang, K.; Biroschak, J.; Glass, D.N.; Thompson, S.D.; Finkel, T.; Passo, M.H.; Binstadt, B.A.; Filipovich, A.; Grom, A.A. Macrophage Activation Syndrome in Patients with Systemic Juvenile Idiopathic Arthritis Is Associated with MUNC13-4 Polymorphisms. Arthritis Rheum. 2008, 58, 2892–2896. [Google Scholar] [CrossRef] [Green Version]
  118. Schulert, G.S.; Zhang, M.; Husami, A.; Fall, N.; Brunner, H.; Zhang, K.; Cron, R.Q.; Grom, A.A. Brief Report: Novel UNC13D Intronic Variant Disrupting an NF-ΚB Enhancer in a Patient With Recurrent Macrophage Activation Syndrome and Systemic Juvenile Idiopathic Arthritis. Arthritis Rheumatol. 2018, 70, 963–970. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. Horton, D.B.; Shenoi, S. Review of Environmental Factors and Juvenile Idiopathic Arthritis. Open Access Rheumatol. 2019, 11, 253–267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  120. Hennet, T.; Borsig, L. Breastfed at Tiffany’s. Trends Biochem. Sci. 2016, 41, 508–518. [Google Scholar] [CrossRef] [Green Version]
  121. Hyrich, K.L.; Baildam, E.; Pickford, H.; Chieng, A.; Davidson, J.E.; Foster, H.; Gardner-Medwin, J.; Wedderburn, L.R.; Thomson, W. Influence of Past Breast Feeding on Pattern and Severity of Presentation of Juvenile Idiopathic Arthritis. Arch. Dis. Child 2016, 101, 348–351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Greenberg, R.G.; Cochran, K.M.; Smith, P.B.; Edson, B.S.; Schulman, J.; Lee, H.C.; Govindaswami, B.; Pantoja, A.; Hardy, D.; Curran, J.; et al. Effect of Catheter Dwell Time on Risk of Central Line–Associated Bloodstream Infection in Infants. Pediatrics 2015, 136, 1080–1086. [Google Scholar] [CrossRef] [Green Version]
  123. Arvonen, M.; Virta, L.J.; Pokka, T.; Kröger, L.; Vähäsalo, P. Repeated Exposure to Antibiotics in Infancy: A Predisposing Factor for Juvenile Idiopathic Arthritis or a Sign of This Group’s Greater Susceptibility to Infections? J. Rheumatol. 2015, 42, 521–526. [Google Scholar] [CrossRef] [PubMed]
  124. Klareskog, L.; Padyukov, L.; Alfredsson, L. Smoking as a Trigger for Inflammatory Rheumatic Diseases. Curr. Opin. Rheumatol. 2007, 19, 49–54. [Google Scholar] [CrossRef] [PubMed]
  125. Zeft, A.S.; Prahalad, S.; Lefevre, S.; Clifford, B.; McNally, B.; Bohnsack, J.F.; Pope, C.A. Juvenile Idiopathic Arthritis and Exposure to Fine Particulate Air Pollution. Clin. Exp. Rheumatol. 2009, 27, 877–884. [Google Scholar] [PubMed]
  126. Zeft, A.S.; Prahalad, S.; Schneider, R.; Dedeoglu, F.; Weiss, P.F.; Grom, A.A.; Mix, C.; Pope Rd, C.A. Systemic Onset Juvenile Idiopathic Arthritis and Exposure to Fine Particulate Air Pollution. Clin. Exp. Rheumatol. 2016, 34, 946–952. [Google Scholar]
  127. Shenoi, S.; Shaffer, M.L.; Wallace, C.A. Environmental Risk Factors and Early-Life Exposures in Juvenile Idiopathic Arthritis: A Case-Control Study. Arthritis Care Res. 2016, 68, 1186–1194. [Google Scholar] [CrossRef] [Green Version]
  128. Ellis, J.A.; Scurrah, K.J.; Li, Y.R.; Ponsonby, A.-L.; Chavez, R.A.; Pezic, A.; Dwyer, T.; Akikusa, J.D.; Allen, R.C.; Becker, M.L.; et al. Epistasis amongst PTPN2 and Genes of the Vitamin D Pathway Contributes to Risk of Juvenile Idiopathic Arthritis. J. Steroid Biochem. Mol. Biol. 2015, 145, 113–120. [Google Scholar] [CrossRef]
  129. Chiaroni-Clarke, R.C.; Munro, J.E.; Pezic, A.; Cobb, J.E.; Akikusa, J.D.; Allen, R.C.; Dwyer, T.; Ponsonby, A.; Ellis, J.A. Association of Increased Sun Exposure Over the Life-course with a Reduced Risk of Juvenile Idiopathic Arthritis. Photochem. Photobiol. 2019, 95, 867–873. [Google Scholar] [CrossRef]
  130. Radon, K.; Windstetter, D.; Poluda, D.; Häfner, R.; Thomas, S.; Michels, H.; von Mutius, E. Exposure to Animals and Risk of Oligoarticular Juvenile Idiopathic Arthritis: A Multicenter Case-Control Study. BMC Musculoskelet. Disord. 2010, 11, 73. [Google Scholar] [CrossRef]
Figure 1. In children with a strong susceptible genetic background, a dysregulation of both the innate and adaptive immunity occurs, leading to cartilage stress and joint damage, up to permanent bone erosion damage (created with “BioRender.com”).
Figure 1. In children with a strong susceptible genetic background, a dysregulation of both the innate and adaptive immunity occurs, leading to cartilage stress and joint damage, up to permanent bone erosion damage (created with “BioRender.com”).
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Figure 2. Several proinflammatory molecules and immune cells combine to form an inflamed environment in oJIA and pJIA, which leads to osteoclast activation, cartilage stress, and bone damage (created with “BioRender.com”).
Figure 2. Several proinflammatory molecules and immune cells combine to form an inflamed environment in oJIA and pJIA, which leads to osteoclast activation, cartilage stress, and bone damage (created with “BioRender.com”).
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Figure 3. In the local inflammatory environment present in oJIA, CD4+ Th17 cells develop the ability to generate IFNγ when stimulated by cytokines such as IL-12 and TNFα. Such Th cells have an intermediate phenotype, known as Th17/Th1, and first generate both IFNγ and IL-17, and then only IFNγ. Both non-classic Th1 cells and Th17/Th1 cells are highly present in inflamed joints, with a large amount of IL-17, IFNγ, and TNFα (created with “BioRender.com”).
Figure 3. In the local inflammatory environment present in oJIA, CD4+ Th17 cells develop the ability to generate IFNγ when stimulated by cytokines such as IL-12 and TNFα. Such Th cells have an intermediate phenotype, known as Th17/Th1, and first generate both IFNγ and IL-17, and then only IFNγ. Both non-classic Th1 cells and Th17/Th1 cells are highly present in inflamed joints, with a large amount of IL-17, IFNγ, and TNFα (created with “BioRender.com”).
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Table 1. Summary of arthritis characteristics and systemic features in the different JIA subtypes with a focus on cytokines involved in the aetiopathogenesis (adapted by Zaripova et al. [7]).
Table 1. Summary of arthritis characteristics and systemic features in the different JIA subtypes with a focus on cytokines involved in the aetiopathogenesis (adapted by Zaripova et al. [7]).
sJIAoJIARF − pJIARF + pJIAErAPsA
Gender
predominance
F = MFFFMF = M
Arthritis
presentation
Wrists, knees, and ankles are the joints commonly involved. Chronic pattern in 30–50% with slow development.Number of joints affected: ≤4
Type of joints affected: large
Asymmetric
Number of joints affected: ≥5
Type of joints affected: small and large
Number of joints affected: ≥5
Type of joints affected: small
Erosive, aggressive symmetric polyarthritis
Lower limb joints are generally more affected
Axial involvement
Type of joints affected: small and large
Asymmetric
Systemic
features
Fever, lymphadenopathy, evanescent rash, serositis, hepatosplenomegaly, MAS30% uveitis10% uveitis10% uveitis
Rheumatoid nodules
Acute anterior uveitis,
enthesitis,
gut inflammation
Psoriasis, dactylitis, onycholysis, nail pitting, uveitis (10–15%)
Adult
counterpart
Adult-onset Still’s disease (AOSD)-RF − Rheumatoid arthritisRF + Rheumatoid arthritisSpondylo-arthropathiesPsoriatic arthritis
Type of diseaseAutoinflammatoryAutoimmuneAutoimmuneAutoimmuneAutoimmuneEarly onset—autoimmune, late onset—autoinflammatory
BiomarkersIncreased CRP, ferritin, platelets70% ANA+40% ANA+RF+, ACPA+, ANA+ 40%45–85% ANA+50% ANA+
HLA genetic pre-dispositionHLA-DRB1*11
HLA-DBR1*04
HLA-DQA1*05
HLA-DRB1*08
HLA-DRB1*01 HLA-DRB1*11 HLA-DRB1*13, HLA-DPB1*02, HLA-DQB1*04
HLA DRB1*08
HLA-DPB1*03
HLA-DRB1*01 HLA-DRB1*04, HLA-DAQ1*03 HLA-DQB1*03
HLA-DRB1*08
HLA-B*27HLA-DAQ1*0401 HLA-DRB1*08 HLA-DQB1*0402
Less frequently HLA-B*27
Immune systemInnate immune responseAdaptive immune systemAdaptive immune systemAdaptive immune systemAdaptive immune systemEarly onset—adaptive immune system, late onset—innate immune response
Effector cellsMonocytes, macrophages, neutrophilsCD4+ and CD8+ T cells, neutrophils, T follicular helperCD4+, CD8+ T cells, T follicular helperCD4+ CD8+ T cells, T follicular helperγδT cells, TH17 cellsTH1 and Th17 cell subsets, macrophages, and activated dendritic cells
PathogenesisAbnormal activation of phagocytes leads to hypersecretion of proinflammatory cytokinesDisrupted imbalance between inflammatory Th1/Th17 and Treg cellsImbalance between inflammatory Th1/Th17 and Treg cellsImbalance between inflammatory Th1/Th17 and Treg cellsHLA-B27 involved in presentation of arthritogenic peptide caused T cell activationAutoinflammatory activation at the synovial–entheseal complex. Autoimmune processes in extra-articular tissues
CytokinesIL-1, IL6, IL-18, IL-37, IL-10TNFα, IL-17, IFNγ, IL-6, IL-21TNFα, IL-17, IFNγ, IL-6, IL-33, IL-21TNFα, IL-6, IL-17, IL-23, IL-21TNFα, IL-17, IL-23TNFα, IL-17, IL-23
Abbreviations. sJIA: systemic JIA, oJIA: oligoarticular JIA, RF: rheumatoid factor, ErA: enthesitis-related arthritis, pJIA: polyarticular JIA, PsA: psoriatic arthritis, MAS: macrophage activation syndrome, ANA: antinuclear antibodies, ACPA: anticitrullinated peptide antibodies, HLA: human leukocyte antigen, Th: T helper, TNF: tumour necrosis factor, IFN: interferon, IL: interleukin.
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La Bella, S.; Rinaldi, M.; Di Ludovico, A.; Di Donato, G.; Di Donato, G.; Salpietro, V.; Chiarelli, F.; Breda, L. Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis. Int. J. Mol. Sci. 2023, 24, 1846. https://doi.org/10.3390/ijms24031846

AMA Style

La Bella S, Rinaldi M, Di Ludovico A, Di Donato G, Di Donato G, Salpietro V, Chiarelli F, Breda L. Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis. International Journal of Molecular Sciences. 2023; 24(3):1846. https://doi.org/10.3390/ijms24031846

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La Bella, Saverio, Marta Rinaldi, Armando Di Ludovico, Giulia Di Donato, Giulio Di Donato, Vincenzo Salpietro, Francesco Chiarelli, and Luciana Breda. 2023. "Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis" International Journal of Molecular Sciences 24, no. 3: 1846. https://doi.org/10.3390/ijms24031846

APA Style

La Bella, S., Rinaldi, M., Di Ludovico, A., Di Donato, G., Di Donato, G., Salpietro, V., Chiarelli, F., & Breda, L. (2023). Genetic Background and Molecular Mechanisms of Juvenile Idiopathic Arthritis. International Journal of Molecular Sciences, 24(3), 1846. https://doi.org/10.3390/ijms24031846

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