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<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fgene.2021.671976</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genetics, Epigenetics, and Gender Impact in Axial-Spondyloarthritis Susceptibility: An Update on Genetic Polymorphisms and Their Sex Related Associations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chimenti</surname> <given-names>Maria Sole</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Perricone</surname> <given-names>Carlo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>D&#x2019;Antonio</surname> <given-names>Arianna</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1420367/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ferraioli</surname> <given-names>Mario</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Conigliaro</surname> <given-names>Paola</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Triggianese</surname> <given-names>Paola</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ciccacci</surname> <given-names>Cinzia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Borgiani</surname> <given-names>Paola</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2021;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Perricone</surname> <given-names>Roberto</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2021;</sup></xref>
<xref ref-type="author-notes" rid="fn004"><sup>&#x00A7;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Rheumatology, Allergology and Clinical Immunology, Department of Systems Medicine, University of Rome Tor Vergata</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Rheumatology Unit, Department of Medicine and Surgery, University of Perugia</institution>, <addr-line>Perugia</addr-line>, <country>Italy</country></aff>
<aff id="aff3"><sup>3</sup><institution>Unicamillus, Saint Camillus International University of Health Sciences</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biomedicine and Prevention, Genetics Unit, University of Rome &#x201C;Tor Vergata&#x201D;</institution>, <addr-line>Rome</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Roberta Ramonda, University of Padua, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Nicolina Cristina Sorrentino, Telethon Institute of Genetics and Medicine (TIGEM), Italy; Maria Cecilia Poli, Universidad del Desarrollo, Chile; Antonio Marchesoni, Istituto Ortopedico Gaetano Pini, Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Maria Sole Chimenti, <email>maria.sole.chimenti@unroma2.it</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn003"><p><sup>&#x2021;</sup>These authors share last authorship</p></fn>
<fn fn-type="other" id="fn004"><p><sup>&#x00A7;</sup>Dceased</p></fn>
<fn fn-type="other" id="fn005"><p>This article was submitted to Genetics of Common and Rare Diseases, a section of the journal Frontiers in Genetics</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>671976</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>02</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>06</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Chimenti, Perricone, D&#x2019;Antonio, Ferraioli, Conigliaro, Triggianese, Ciccacci, Borgiani and Perricone.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chimenti, Perricone, D&#x2019;Antonio, Ferraioli, Conigliaro, Triggianese, Ciccacci, Borgiani and Perricone</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Spondyloarthritis (SpA) is a group of chronic inflammatory rheumatic disease that can be divided into predominantly axial or predominantly peripheral involvement, with or without associated psoriasis, inflammatory bowel disease or previous infection. Axial SpA (axSpA) encompasses ankylosing spondylitis (AS) with radiological sacroiliitis, and a type without radiographic sacroiliitis, called &#x201C;non-radiographic axial SpA&#x201D; (nr-axSpA). Males and females show large differences in their susceptibility to SpA, such as distinctions in clinical patterns, phenotypes and in therapeutical response, particularly to TNF inhibitors (TNFi). Several studies indicate that AS women have doubled risk to failure TNFi compared with males. This diversity in drugs&#x2019; efficacy among women and men may be caused by differences in the balance of sex hormones and in gene-specific expression likely triggered by X-chromosome instability and gene-specific epigenetic modifications. Evidence reported that polymorphisms in microRNAs on X- and other chromosomes, such as miR-146a, miR-155, miR-125a-5p, miR-151a-3p and miR-22-3p, miR-199a-5p could be involved in the different clinical presentation of SpA, as well as disease activity. In addition, association with non&#x2212;response to TNFi treatment and presence of IRAK3 and CHUCK genes in SpA patients was recently detected. Finally, polymorphisms in genes involved in IL-23/IL-17 pathway, such as in drug pharmacodynamics and pharmacokinetics may have a role in response to TNFi, IL17i, and IL23i. A major understanding of genomic variability could help in the development of new therapeutic targets or in taking advantages of different mechanisms of action of biological drugs. Moving from the multifactorial etiology of disease, the present review aims at evaluating genetic and epigenetic factors and their relationship with sex and bDMARDs response, helping to investigate the different expression among males and females of genes on X- and other chromosomes, as well as mi-RNA, to highlight relationships between sex and occurrence of specific phenotypes and symptoms of the disease. Moreover, the role of the epigenetic modification in relation to immune-regulatory mechanisms will be evaluated.</p>
</abstract>
<kwd-group>
<kwd>Spondyloarthritis</kwd>
<kwd>genetic predisposition and association</kwd>
<kwd>precision medicine</kwd>
<kwd>gender predisposition</kwd>
<kwd>gender medicine</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="120"/>
<page-count count="13"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Spondyloarthritis (SpA) is a heterogeneous group of inflammatory chronic diseases characterized by common clinical features, as inflammatory back pain, peripheral joint involvement, dactylitis and enthesitis (<xref ref-type="bibr" rid="B14">Chimenti et al., 2020b</xref>). SpA can be divided into predominantly axial or predominantly peripheral form, with or without psoriasis (PsO), inflammatory bowel disease (IBD) or previous associated infection. Axial SpA (axSpA) encompasses ankylosing spondylitis (AS) with radiological signs of sacroiliitis, and a type without radiographic sacroiliitis, called &#x201C;non-radiographic axial SpA&#x201D; (nr-axSpA) (<xref ref-type="bibr" rid="B12">Chimenti et al., 2019a</xref>; <xref ref-type="bibr" rid="B112">Ward et al., 2019</xref>). All the clinical subtypes share common pathogenic, clinical, and radiologic features such as the genetic predisposition and the association with HLA-B27, the presence of extra-articular involvement and bone remodeling associated with bone resorption and osteoproductive lesions called syndesmophytes (<xref ref-type="bibr" rid="B14">Chimenti et al., 2020b</xref>). In axial-SpA the sex prevalence has dramatically changed during the last two decades: SpA were linked to male gender with a ratio of 10:1 with respect to female gender, nowadays the ratio has reduced to 3:1 for AS/axSpA (<xref ref-type="bibr" rid="B116">West, 1949</xref>). However, in contrast to AS, nr-axSpA male and female patients present the same prevalence (<xref ref-type="bibr" rid="B104">van der Horst-Bruinsma et al., 2013</xref>). Recent evidence supports the hypothesis of different clinical subtypes among males and females, suggesting a genetic and hormonal based pathogenesis. In this direction, the pathogenesis of SpA is not clearly understood to date and the role of immunological and genetic data showed clear sex dimorphisms in SpA patients (<xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). Certainly, pathogenic mechanisms of SpA comprise a complex interplay among genetic background, environmental triggers, and mechanical stress that leads to the overall activation of inflammation and autoimmunity (<xref ref-type="bibr" rid="B68">Pedersen and Maksymowych, 2018</xref>). The role of genetic susceptibility in SpA was strongly associated with the presence of human leukocyte antigen (HLA) and non-HLA alleles that surely takes part in the predisposition to the disease (<xref ref-type="bibr" rid="B9">Brown et al., 2000</xref>). The class I HLA allele HLA&#x2013;B27 is strongly linked with the development of SpA due to its role in the pathogenesis of the disease (<xref ref-type="bibr" rid="B37">Hacquard-Bouder et al., 2007</xref>). The revolution of the genome-wide association study (GWAS) era has identified hundreds of genes associated with SpA, mainly IL23R, ERAP1 (Endoplasmic Reticulum Aminopeptidase-1), ERAP2, and MEFV (Mediterranean fever) linked to innate and acquired immune response and cytokines production (<xref ref-type="bibr" rid="B9">Brown et al., 2000</xref>). The current interest in Precision Medicine, in order to identify preventive and therapeutic interventions, is increasing in the management of SpA patients. Clinical effect of biological DMARDs (bDMARDs) is now known to be affected by gender, as well as the clinical, genetic, and psychosocial life-style context (<xref ref-type="bibr" rid="B30">Garrido-Cumbrera et al., 2021</xref>). This different efficacy in women and men is due to biological differences which may be caused by sex-specific gene expression likely triggered by gene-specific epigenetic modifications. However, in SpA patients, a series of factors may interfere in epigenetic modifications: age, smoke, diet, and environmental factors (<xref ref-type="bibr" rid="B14">Chimenti et al., 2020b</xref>). In this context, the clinical phenotype and the response to drugs can be influenced by gender and considered as complex traits in SpA. The study of genetic and epigenetic mechanisms involved in the pathogenesis of SpA may be of help to define novel targets for more effective therapy. The aim of this review was to highlight the role of genetics and epigenetics in the susceptibility and clinical pattern of SpA as well as in bDMARDs treatment response variability with a focus on gender differences and predisposition.</p>
</sec>
<sec id="S2">
<title>Genetic Predisposition to Spondyloarthritis</title>
<p>Over the past decades a growing interest in the pathogenesis of SpA has provided rapid advances in understanding the genetic basis of the disease. A family aggregation to SpA has long been recognized and studies of concordance in twins and families of patients affected by AS indicate that susceptibility of the disease is widely due to genetic factors (<xref ref-type="bibr" rid="B8">Brown et al., 1997</xref>). More recent studies reported that the major histocompatibility complex (MHC) region gives a contribution of about 20% to the heritability (<xref ref-type="bibr" rid="B27">Ellinghaus et al., 2016</xref>).</p>
<sec id="S2.SS1">
<title>HLA B27</title>
<p>The HLA-B27 is the allele most associated with AS, as well as with other types of SpA (<xref ref-type="bibr" rid="B7">Breban et al., 2015</xref>; <xref ref-type="bibr" rid="B57">Lin and Gong, 2017</xref>). Most AS patients express HLA-B27 (90%) and this allele is responsible for up to 28% of the etiology of SpA. Nevertheless, less than 5% of HLA-B27 positive people in the general population develop this disease (<xref ref-type="bibr" rid="B79">Reveille, 2011</xref>). Much research has shown a higher prevalence of HLA-B27 in males than in females. Recently, a link between HLA-27 expression and high concentrations of testosterone was demonstrated (<xref ref-type="bibr" rid="B2">Akassou and Bakri, 2018</xref>). HLA-B27 is highly polymorphic and several sub-alleles with different contributions to susceptibility to SpA have been identified. Of these subtypes, B<sup>&#x2217;</sup>2705 is found most frequently in the Caucasian population and has a strong association with AS and PsA; on the contrary, HLA-B<sup>&#x2217;</sup>2706, detected in Southeast Asia, and B<sup>&#x2217;</sup>2709, present in Sardinia, do not seem to be related to SpA (<xref ref-type="bibr" rid="B40">Haroon et al., 2017</xref>).</p>
<p>The main function of HLA-B27 is the presentation of intracellular peptides to cytotoxic (CD8-positive) T lymphocytes and multiple theories about its pathogenic mechanisms have been suggested. These hypotheses include the presentation of &#x201C;arthritogenic&#x201D; peptide recognized by the T-cell receptor (TCR) of autoreactive CD8<sup>+</sup> T cells; cell surface HLA-B27 homodimers recognition by natural killer (NK) receptors; accumulation of misfolded HLAB27 in the endoplasmic reticulum during protein biosynthesis leading to inflammatory response; failed elimination of bacteria or virus with consequent intracellular microbial survival and prolonged abnormal immune system activation (<xref ref-type="bibr" rid="B40">Haroon et al., 2017</xref>). Recently, it has been described that HLA-B27 could perturbate the composition of the gut microbiota, leading to loss of mucosal tolerance and activation of aberrant inflammatory response. Significant differences in microbiota composition were detected between HLA-B27-positive and HLA-B27-negative SpA patients, with increased <italic>R. mucilaginosa</italic> and <italic>E. lenta</italic>, and low levels of <italic>Bifidobacterium</italic> and <italic>Odoribacter</italic> in HLA-B27 positive patients, similar to what has been reported in patients with ileal Crohn&#x2019;s disease (CD) and ulcerative colitis (UC) (<xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref>; <xref ref-type="bibr" rid="B56">Lim et al., 2018</xref>). Moreover, a recent metabolome analysis in HLA-B27 transgenic rats has shown a perturbation in levels of short-chain fatty acids and other microbial metabolites during gut inflammation (<xref ref-type="bibr" rid="B4">Asquit et al., 2017</xref>). Microbial dysbiosis and perturbed microbial metabolic function are associated with inflammatory pathways (IFNg, TNF, and IL-23/IL-17) and with imbalance between Tregs, Th1, Th2, and Th17 cells, which may lead to chronic inflammation in the joint, skin, or gut as well as a loss of tolerance for non-pathogenous (<xref ref-type="bibr" rid="B4">Asquit et al., 2017</xref>; <xref ref-type="bibr" rid="B31">Gill et al., 2019</xref>). Even though HLA-B27 plays an undisputedly critical role in AS pathogenesis, only 1&#x2013;3% of HLA-B27-positive people develop the disease, and not all AS patients carry the HLA-B27 antigen, advising that other genes may be involved in the development of the pathology (<xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref>; <xref ref-type="bibr" rid="B31">Gill et al., 2019</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>Other HLA Genes</title>
<p>Different mechanisms have been advanced to explain SpA susceptibility, such as large variants (deletions, duplications, inversions), single nucleotide polymorphisms (SNPs), gene-gene, and gene-environment interactions. In the last decades, the advent of genome-wide association studies (GWASs) has improved our understanding of SpA disease pathogenesis. HLA-B51, mostly associated with Beh&#x00E7;et&#x2019;s disease, seems to be a risk variant for AS, as well as HLA-B40, most specifically the B<sup>&#x2217;</sup>40:01 allele (a DNA-defined allele that corresponds to HLA-B60 at the serologically defined or protein level) was increased in B27-positive patients with AS (<xref ref-type="bibr" rid="B17">Clarke and Vyse, 2009</xref>; <xref ref-type="bibr" rid="B23">Dougados and Baeten, 2011</xref>). HLA-B27 and HLA-B60 genes are located on the same chromosome but they could be involved in different antigen-triggered pathologic pathways. Therefore, the epistatic effects between HLA-B27 and HLA-B60 may be due to the similar downstream T-cell mediated immune response (<xref ref-type="bibr" rid="B115">Wei et al., 2015</xref>). Moreover, HLA-Cw<sup>&#x2217;</sup>0702 is associated with axial PsA, HLA-DQ3 is involved in both PsA disease and its progression (<xref ref-type="bibr" rid="B14">Chimenti et al., 2020b</xref>). Although some HLA-B/C haplotypes are ancestral, explaining their over-expression in SpA, the role of these alleles in determining the risk and the clinical expression of disease is still under investigation (<xref ref-type="bibr" rid="B75">Queiro et al., 2006</xref>). Recent studies investigated the MHC class I chain A related (MICA), which mediates the activation of natural killer cells, &#x03B3;&#x03B4;T cells, and &#x03B1;&#x03B2;CD8<sup>+</sup> T cells. MICA polymorphisms could be associated with the susceptibility to both PsO and PsA, AS, IBD, and Beh&#x00E7;et&#x2018;s disease (<xref ref-type="bibr" rid="B111">Wang and Zhou, 2015</xref>). MICA-129 Val/Val polymorphism has been identified as protective against radiographic axial PsA, probably due to a low affinity for its receptor and a lower inflammation on sacroiliac joint (<xref ref-type="bibr" rid="B111">Wang and Zhou, 2015</xref>; <xref ref-type="bibr" rid="B29">Fechtenbaum et al., 2019</xref>). Nevertheless, a defining contribution of MICA, as well as other non-HLA MCH genes (e.g., TNF, TAP1, TAP2, and LMP2) to AS susceptibility has not yet been established and could be confounded by the linkage disequilibrium known to exist in this region (<xref ref-type="bibr" rid="B29">Fechtenbaum et al., 2019</xref>).</p>
</sec>
<sec id="S2.SS3">
<title>Non-HLA Genes</title>
<p>Outside the MHC region, other genes have been identified as risk factor for SpA. Among them, evidence from the literature highlights the ERAP1 and 2, that show epistasis with HLA-B<sup>&#x2217;</sup>27. ERAP1 is associated with AS only in individuals carrying the HLA-B27 or HLA-B<sup>&#x2217;</sup>40:01 alleles (<xref ref-type="bibr" rid="B111">Wang and Zhou, 2015</xref>), while interaction between ERAP2 and AS is present in both HLA-B27 positive and negative disease, suggesting their different functional mechanism in causing AS (<xref ref-type="bibr" rid="B80">Reveille, 2014</xref>). The main function of ERAP1 and 2 products is to trim peptides to an optimal length for MHC class I binding and presentation (<xref ref-type="bibr" rid="B19">Cortes et al., 2015</xref>). ERAP1 variants cause a modification in three-dimensional structure of protein and could also influence gene expression. It was shown a higher expression of ERAP1 in dendritic cells of AS patients compared to healthy controls, suggesting that overexpression of ERAP1 could promote the disease (<xref ref-type="bibr" rid="B84">Robinson et al., 2015</xref>). Loss-of-function variants of ERAP1 lead to an aberrant peptides&#x2019; presentation, influencing dimerization or misfolding of HLA-B27 and contributing to disease pathogenesis, although to date the exact mechanism is unclear. The second function of ERAP1 is the cleavage of cell surface receptors for the proinflammatory cytokines IL-1 (IL-1R2), IL-6 (IL-6R&#x03B1;) and TNF (TNFR1), downregulating their signaling (<xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref>). ERAP1 and ERAP2 haplotype (concerning <italic>rs27044</italic>, <italic>rs30187</italic>, and <italic>rs2549782</italic> SNPs) are associated with familial AS (<xref ref-type="bibr" rid="B92">Saveanu et al., 2005</xref>; <xref ref-type="bibr" rid="B28">Evans et al., 2011</xref>) while <italic>rs27037</italic>, <italic>rs27044</italic>, and <italic>rs30187</italic> SNPs are involved in syndesmophytes formation and AS severity (<xref ref-type="bibr" rid="B92">Saveanu et al., 2005</xref>; <xref ref-type="bibr" rid="B98">Tsui et al., 2010</xref>; <xref ref-type="bibr" rid="B28">Evans et al., 2011</xref>). In contrast, ERAP2 variant <italic>rs2248374</italic> seems to cause a loss of ERAP2 protein by reducing MHC class I surface expression in cell lines, being potentially protective for AS (<xref ref-type="bibr" rid="B110">Wang et al., 2012</xref>; <xref ref-type="bibr" rid="B67">Paladini et al., 2019</xref>). Another gene described as involved in AS susceptibility is RUNX3, involved in differentiation of cytotoxic-lineage T cells into phenotypically mature CD8<sup>+</sup> T cells, which have been implicated in the pathogenesis of AS. Moreover, RUNX3 regulated other immunological cells and through TGF-&#x03B2; signaling pathway could drive the imbalance of Th17/Treg in AS (<xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref>). Three other AS&#x2013;associated genes (EOMES, IL7R, and ZMIZ1) were also identified as impacting on variation in CD8<sup>+</sup> lymphocyte counts and differentiations. Probably other mechanisms besides the effect on lymphocytes are underlying but they are still unknown (<xref ref-type="bibr" rid="B28">Evans et al., 2011</xref>). RUNX3 polymorphism (<italic>rs6600247</italic>) is associated with lower CD8<sup>+</sup> T cell counts, causing an altered antigen presentation, while the opposite occurred with IL7R haplotype rs991570, suggesting an unknown mechanism related to the IL7/RUNX3 pathway (<xref ref-type="bibr" rid="B83">Roberts et al., 2016</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref>). Previously, it was identified that other AS-associated SNPs, <italic>rs4648889</italic> and <italic>rs4265380</italic>, located upstream of the RUNX3 gene, might have a regulatory impact respectively on CD8<sup>+</sup> T cell and monocytes and similar genetic associations have been also described in PsA (<xref ref-type="bibr" rid="B21">Di Meglio et al., 2011</xref>). In AS, such as in IBD, genetic associations have also been reported at TBX21, encoding the transcriptional factor T-bet that control the functional differentiation of many cell types and is overexpressed in AS CD8 T-cells and NK cells. Moreover, expression of TBX21 and T-bet is higher in AS patients than controls and homozygosity for the <underline>rs11657479</underline> risk allele increases T-bet expression (<xref ref-type="bibr" rid="B64">O&#x2019;Rielly and Rahman, 2013</xref>; <xref ref-type="bibr" rid="B54">Lau et al., 2017</xref>). Associations with other genes (DEFB4, CDKAL1, KIF21B, ORMDL3, MST1, and PSMG) have been proposed but their relevance in AS has not been confirmed (<xref ref-type="bibr" rid="B81">Reveille et al., 2010</xref>; <xref ref-type="bibr" rid="B1">Aita et al., 2018</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Cytokines</title>
<p>Several lines of evidence suggested a relevant role of IL-17 and IL-23 in the pathogenesis of AS. association between the IL-23R locus and AS have been demonstrated, as well as genes related to the IL-17 pathway and risk alleles for AS. The identification of protective alleles in IL23R that result in reduced phosphorylation of signal transducer and activator of transcription 3 (STAT3) and in impairment production of IL-17 supports the hypothesis that activation of the IL-23&#x2013;IL-17 pathway is controlled at a genetic level (<xref ref-type="bibr" rid="B35">Gravellese and Schett, 2018</xref>). Association between IL23R variants and SpA, reported by GWAS studies, has strengthened the importance of IL-17-IL23 axis SpA pathogenesis. For example, the <italic>rs11209032</italic> SNP, located within the intergenic region between IL23R and IL12RB2, might influence Th1-cell number and correlates with disease susceptibility (<xref ref-type="bibr" rid="B83">Roberts et al., 2016</xref>). Also, the variant allele of <italic>rs11209026</italic> SNP, previously associated with IBD, modifies the interaction between IL23R and its signaling partner, JAK-2 kinase, with a protective effect. Indeed, carriers of this allele showed a decreased IL-17 and IL-22, as well as a reduction of circulating Th17 cells (<xref ref-type="bibr" rid="B21">Di Meglio et al., 2011</xref>). Other variants within genes encoding proteins crucial for Th-17 signaling (TRAF3IP2, TYK2, STAT3, SOCS1, IRF4, and KLF4) have been investigated but further functional studies are needed to explain how these variants contribute to susceptibility and phenotypic expression of SpA. Further SpA-associated gene pathways include IFNs, IL-1, and TNF&#x03B1;. IFN is a key early mediator of inflammation, involved in production of proinflammatory cytokines, e.g., TNF&#x03B1; and IL-1, as well as in activation of NFkB signaling (<xref ref-type="bibr" rid="B35">Gravellese and Schett, 2018</xref>). Dysregulated NFkB activation may lead to the transcription of several target genes contributing to SpA pathogenesis. Multiple genetic loci involved in NFkB signaling (TNFRSF1A-LTBR, TRADD, TBKBP1, CARD9, and PTGER4) have been investigated in AS. Particularly, CARD9 could promote the production of IL-17 and IL-23 and, through the indirect activation of PTGER4, influence the bone ossification and radiographic progression observed in AS (<xref ref-type="bibr" rid="B21">Di Meglio et al., 2011</xref>; <xref ref-type="bibr" rid="B83">Roberts et al., 2016</xref>). Variations within some genes encoding proteins for IFN signaling have been evidenced in GWAS analysis, mostly in patients affected by psoriasis but could have a significance also in PsA and AS (<xref ref-type="bibr" rid="B21">Di Meglio et al., 2011</xref>). INF is a key early mediator of inflammation, determining the production of proinflammatory cytokines, as TNF-&#x03B1; and interleukin (IL)-1, and influencing the activation of NFkB signaling. SNPs in TNF&#x03B1; gene have been identified as potentially associated with SpA. In particular, a specific <italic>rs1799964</italic>/<italic>rs1800629</italic> haplotype exerts a protective role for SpA, mainly for AS and in HLA-B27 positive subjects, as demonstrated by the reduction of TNF&#x03B1; release. However, the relation between SNPs of genes involved in TNF&#x03B1; signaling and AS has shown controversial results, maybe related to the differences in the ethnic origin or to the number of the individuals under study (<xref ref-type="bibr" rid="B83">Roberts et al., 2016</xref>). SNPs in IL-1 gene cluster were reported to be associated with AS, with greater focus on IL-1A and IL-1R2 genes. Nevertheless, the contribution of IL-1 in AS susceptibility is likely to be limited, as evidenced by inefficacy of IL-1 receptor antagonist in AS treatment (<xref ref-type="bibr" rid="B94">Sims et al., 2008</xref>; <xref ref-type="bibr" rid="B1">Aita et al., 2018</xref>). Based on previous published data on the association of TLRs genes with autoimmune disease, research work has been carried out on their role in AS. Toll-like receptors (TLRs) have an important role in the mechanism of innate immunity and may influence inflammatory responses (<xref ref-type="bibr" rid="B62">Oliveira-Tor&#x00E9; et al., 2019</xref>). Furthermore, they are involved in the activation of adaptive immune system upregulating costimulatory molecules of the antigen-presenting cells and play a role in the self-sustained inflammatory cycle and progression of chronic diseases (<xref ref-type="bibr" rid="B62">Oliveira-Tor&#x00E9; et al., 2019</xref>). Polymorphisms in TLR genes could contribute to the susceptibility to SpA. A recent study pointed out that TLR2 gene <italic>rs5743708&#x002A;A</italic> polymorphism increased the chance of developing SpA. In addition, high levels of IL-12 were found in the presence of polymorphisms in TLR2 (<italic>rs5743708</italic>) and TLR9 (<italic>rs5743836</italic>) genes, while TLR9 <italic>rs187084</italic> was associated with increased production of IFN&#x03B3; and TNF&#x03B1;. These polymorphisms contribute to potentiate the Th1, Th2, and Th17 immune response seen in SpA, which may confer to individuals carrying the variant alleles a predisposition to the development of SpA (<xref ref-type="bibr" rid="B62">Oliveira-Tor&#x00E9; et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="S3">
<title>Epigenetic Mechanisms in Spondyloarthritis</title>
<p>Not only genetic variants but also epigenetic mechanisms, such as DNA methylation, histone modification and non-coding RNAs, have shown in the last years to be particularly relevant to explain the SpA pathogenesis. The term epigenetics refers to all mechanisms that produce a change in the gene expression, without modifying the DNA sequence. In recent decades, the interest in epigenetic mechanisms increased due to the evidence that their alterations are present in many diseases, including autoimmune diseases. In SpA, alterations of histone H3 (H3K27ac and H3K4me1) seem to be correlated with RUNX3 expression and the decrease of CD8<sup>+</sup> T cell in the presence of <italic>rs4648889</italic> SNP variant (<xref ref-type="bibr" rid="B11">Cherqaoui et al., 2020</xref>). In addition, H3K4me1 methylation regulates the activity of IL23R gene. Among epigenetic mechanisms, miRNAs represent one of the most interesting examples. These small molecules of non-coding RNAs can regulate the expression of multiple genes at a post-transcriptional level by inhibiting translation or inducing messenger RNA degradation. Significant alterations in miRNA expression have been observed in axSpA patients, showing a lower expression of 14 miRNAs in comparison with healthy controls (<xref ref-type="bibr" rid="B74">Prajzlerov&#x00E1; et al., 2017</xref>; <xref ref-type="bibr" rid="B11">Cherqaoui et al., 2020</xref>). Interestingly, most of these miRNAs are involved in osteoblast differentiation or the Wnt signaling pathway while only miR-625-3p was significantly different in nr-AxSpA patients compared to controls. Moreover, also the genetic variability of miRNAs seems to be involved with autoimmune disorders susceptibility, and several associations were already reported (<xref ref-type="bibr" rid="B53">Latini et al., 2017</xref>). Until now, however, there is only little evidence of associations with PsA. For example, a Chinese study reported an association between common polymorphisms in mir-146a and mir-499 genes and ankylosing spondylitis (<xref ref-type="bibr" rid="B117">Xu et al., 2015</xref>). As already mentioned, epigenetics could play a role in the interactions between genetic and environmental susceptibility factors and might favor SpA development. DNA methyltransferase (DNMT) 3A and 3B are involved in genomic imprinting and X-chromosome inactivation, which may in part explain the different distribution of SpA according to gender (<xref ref-type="bibr" rid="B38">Hanson and Brown, 2017</xref>; <xref ref-type="bibr" rid="B39">Hao et al., 2017</xref>). Variants in DNMT3A, DNMT3B, and DNMT3L genes have been recently associated with AS, and different methylated positions (DMPs), that can influence HLA-B27, are identified (<xref ref-type="bibr" rid="B27">Ellinghaus et al., 2016</xref>; <xref ref-type="bibr" rid="B11">Cherqaoui et al., 2020</xref>). In addition, an increased level of Histone Deacetylase 3 (HDAC3), which regulates NF-kB activity, was detected in AS patients (<xref ref-type="bibr" rid="B47">Jiang and Wang, 2016</xref>). Additional genetic and epigenetic mechanisms, such as genomic imprinting, could explain the gender difference in inheritance of SpA (<xref ref-type="bibr" rid="B78">Rahman et al., 1999</xref>). Genomic imprinting is a normal process that differentially regulates the expression of specific genes depending on the sex of the transmitting parent. Already more than twenty years ago, a higher penetrance of PsO was reported if the father was affected and a similar phenomenon was observed among PsA patients (<xref ref-type="bibr" rid="B10">Burden et al., 1998</xref>; <xref ref-type="bibr" rid="B78">Rahman et al., 1999</xref>; <xref ref-type="bibr" rid="B49">Karason et al., 2003</xref>). Later a significant linkage on chromosome 16q was noted only after conditioning for paternal transmission, suggesting that genetic imprinting may play a role in the inheritance pattern of psoriasis and PsA (<xref ref-type="bibr" rid="B49">Karason et al., 2003</xref>; <xref ref-type="bibr" rid="B25">Eder et al., 2012</xref>). However, despite some encouraging advances in SpA epigenetic studies, data are still lacking and further studies are needed. <xref ref-type="table" rid="T1">Table 1</xref> summary of genes whose variability is involved in SpA. <xref ref-type="fig" rid="F1">Figure 1</xref> summarizes the interaction among genetic and epigenetic factors and sex in SpA.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Genes whose variability is involved in Spondyloarthritis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Genes</td>
<td valign="top" align="center">Chromosome</td>
<td valign="top" align="center">Function</td>
<td valign="top" align="left">Evidence of association</td>
<td valign="top" align="left">References</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HLA-B27</td>
<td valign="top" align="center">6p21.3</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, axial-PsA, enthesitis, dactylitis, uveitis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B44">Ito et al., 2001</xref>; <xref ref-type="bibr" rid="B79">Reveille, 2011</xref>; <xref ref-type="bibr" rid="B102">Tyagi et al., 2012</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref>; <xref ref-type="bibr" rid="B13">Chimenti et al., 2020a</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-B27:05:02</td>
<td valign="top" align="center">6p21.3</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, symmetric sacroiliitis, enthesitis, dactylitis, uveitis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B44">Ito et al., 2001</xref>; <xref ref-type="bibr" rid="B79">Reveille, 2011</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref>; <xref ref-type="bibr" rid="B13">Chimenti et al., 2020a</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-B38</td>
<td valign="top" align="center">6p21.31</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">Peripheral PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Clarke and Vyse, 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-B39</td>
<td valign="top" align="center">6p21.31</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">Peripheral PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Clarke and Vyse, 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-B60 (B&#x002A;4001)</td>
<td valign="top" align="center">6p21.3</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B115">Wei et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-B15</td>
<td valign="top" align="center">6p21.31</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, CD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Clarke and Vyse, 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-C06:02</td>
<td valign="top" align="center">6p21.3</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">HLA-C07:01:01</td>
<td valign="top" align="center">6p21.3</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">Axial PsA, sacroiliitis, dactylitis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B79">Reveille, 2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">MICA</td>
<td valign="top" align="center">6p21.33</td>
<td valign="top" align="center">NK and T cells activation</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B111">Wang and Zhou, 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-1R2</td>
<td valign="top" align="center">2q11-12</td>
<td valign="top" align="center">Interferon signaling</td>
<td valign="top" align="left">AS, uveitis, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">O&#x2019;Rielly and Rahman, 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-1 complex (IL-1A, IL-1B, IL1-RN)</td>
<td valign="top" align="center">2q14.1</td>
<td valign="top" align="center">Th1 response</td>
<td valign="top" align="left">AS, peripheral PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Clarke and Vyse, 2009</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-12B</td>
<td valign="top" align="center">5q33.3</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Burden et al., 1998</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-17A</td>
<td valign="top" align="center">6p12.2</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Burden et al., 1998</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-17F</td>
<td valign="top" align="center">6p12.2</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Burden et al., 1998</xref>; <xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-23R</td>
<td valign="top" align="center">1p31.3</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, peripheral and erosive PsA, PsO, uveitis, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B81">Reveille et al., 2010</xref>; <xref ref-type="bibr" rid="B35">Gravellese and Schett, 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-23A</td>
<td valign="top" align="center">12q13.3</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">PsA, PsO, uveitis</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Burden et al., 1998</xref></td>
</tr>
<tr>
<td valign="top" align="left">IL-7R</td>
<td/>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B98">Tsui et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">TNF-A</td>
<td valign="top" align="center">6q21.3</td>
<td valign="top" align="center">NFkB signaling</td>
<td valign="top" align="left">AS, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B98">Tsui et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">TBKBP1</td>
<td valign="top" align="center">17q21.32</td>
<td valign="top" align="center">NFkB activation and signaling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">TNFRSF1A-LTBR</td>
<td valign="top" align="center">12p13</td>
<td valign="top" align="center">NFkB activation and signaling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">ERAP1</td>
<td valign="top" align="center">5q15</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, PsA, PsO, uveitis, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B81">Reveille et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">TBX21</td>
<td valign="top" align="center">17q21.32</td>
<td valign="top" align="center">Th1 cell expression</td>
<td valign="top" align="left">AS, CD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B81">Reveille et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">FBXL19</td>
<td valign="top" align="center">16p11.2</td>
<td valign="top" align="center">NFkB activation and signaling</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">KIF21B</td>
<td valign="top" align="center">1q31</td>
<td valign="top" align="center">Unknown</td>
<td valign="top" align="left">AS, uveitis, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">CARD9</td>
<td valign="top" align="center">9q34.3</td>
<td valign="top" align="center">NFkB activation and signaling</td>
<td valign="top" align="left">AS, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Gravellese and Schett, 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">PTGER4</td>
<td valign="top" align="center">5p13.1</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, CD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">IRAK1</td>
<td valign="top" align="center">Xq28</td>
<td valign="top" align="center">NFkB signaling</td>
<td valign="top" align="left">PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Chimenti et al., 2019b</xref></td>
</tr>
<tr>
<td valign="top" align="left">ANTXR2</td>
<td valign="top" align="center">4q21</td>
<td valign="top" align="center">Bone remodeling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">STAT3</td>
<td valign="top" align="center">17q21</td>
<td valign="top" align="center">Th17 signaling</td>
<td valign="top" align="left">AS, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B6">Berlinberg and Kuhn, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">CYP2D6</td>
<td valign="top" align="center">22q13.1</td>
<td valign="top" align="center">unknown</td>
<td valign="top" align="left">AS, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B6">Berlinberg and Kuhn, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">ANKH</td>
<td valign="top" align="center">5p15.2</td>
<td valign="top" align="center">Bone remodeling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B77">Queiro et al., 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">TLR4</td>
<td valign="top" align="center">9q32-33</td>
<td valign="top" align="center">NFkB signaling</td>
<td valign="top" align="left">AS, PsA, uSpA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">O&#x2019;Rielly and Rahman, 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">TLR2</td>
<td valign="top" align="center">4q31.3</td>
<td valign="top" align="center">NFkB signaling</td>
<td valign="top" align="left">AS, PsA, uSpA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">O&#x2019;Rielly and Rahman, 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">TLR9</td>
<td valign="top" align="center">3p21.2</td>
<td valign="top" align="center">NFkB signaling</td>
<td valign="top" align="left">AS, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">O&#x2019;Rielly and Rahman, 2013</xref></td>
</tr>
<tr>
<td valign="top" align="left">TYK2</td>
<td valign="top" align="center">19P13.2</td>
<td valign="top" align="center">IFN and NFkB activation and signaling</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">KIR3DL1</td>
<td valign="top" align="center">19q13.4</td>
<td valign="top" align="center">NK and T cells activation</td>
<td valign="top" align="left">AS, PsO, PsA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B16">Chimenti et al., 2019b</xref></td>
</tr>
<tr>
<td valign="top" align="left">ADAM33</td>
<td valign="top" align="center">20p13</td>
<td valign="top" align="center">Cell-cell and cell-matrix interactions</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">TNIP1</td>
<td valign="top" align="center">5q32- q33.1</td>
<td valign="top" align="center">NFkB activation and signaling</td>
<td valign="top" align="left">PsA, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">RUNX3</td>
<td valign="top" align="center">1p36</td>
<td valign="top" align="center">Antigen presentation</td>
<td valign="top" align="left">AS, PsO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">EOMES</td>
<td valign="top" align="center">3p24.1</td>
<td valign="top" align="center">Unknown</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B98">Tsui et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">ZMIZ1</td>
<td valign="top" align="center">10q22.3</td>
<td valign="top" align="center">Unknown</td>
<td valign="top" align="left">AS, PsO, CD, UC</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B98">Tsui et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">ANO6</td>
<td valign="top" align="center">12q12</td>
<td valign="top" align="center">Bone remodeling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">DMP1</td>
<td valign="top" align="center">4q22.1</td>
<td valign="top" align="center">Bone remodeling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B60">Mori et al., 2000</xref></td>
</tr>
<tr>
<td valign="top" align="left">HAPLN1</td>
<td valign="top" align="center">5q14</td>
<td valign="top" align="center">Bone remodeling</td>
<td valign="top" align="left">AS</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B108">Vecellio et al., 2019</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>HLA, human leukocyte antigen; NK, Natural Killer cells; AS, Ankylosing Spondylitis; PsA, psoriatic arthritis; PsO, psoriasis; UC, ulcerative colitis; CD, Crohn disease.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Interaction among genetic and epigenetic factors and sex in Spondyloarthritis (SpA).</p></caption>
<graphic xlink:href="fgene-12-671976-g001.tif"/>
</fig>
</sec>
<sec id="S4">
<title>Gender Differences in Clinical Phenotypes in Axial SpA</title>
<p>Several sex related differences have been described among the various subtypes of SpA. These can be divided based on joint manifestations. Differences related to gender on joint manifestations are summarized in <xref ref-type="table" rid="T2">Table 2</xref>. Regarding axial-SpA, relevant differences can be highlighted among gender (<xref ref-type="bibr" rid="B88">Rudwaleit et al., 2009</xref>; <xref ref-type="bibr" rid="B18">Conigliaro et al., 2016</xref>). First of all, a male predominance (3:1) has been found in the radiographic form while an equal sex distribution is registered in the nr-axSpA (1,03:1) (<xref ref-type="bibr" rid="B105">van der Linden et al., 1984</xref>; <xref ref-type="bibr" rid="B88">Rudwaleit et al., 2009</xref>). In this condition, disease burden appears to be similar for both sexes (<xref ref-type="bibr" rid="B50">Kennedy et al., 1993</xref>; <xref ref-type="bibr" rid="B113">Ward et al., 2009</xref>; <xref ref-type="bibr" rid="B5">Baumberger, 2017</xref>; <xref ref-type="bibr" rid="B89">Rusman et al., 2020</xref>). However, differences emerged concerning clinical and disease activity distribution. Indeed, men seem to display a higher radiological damage and a higher radiological progression (as highlighted with Bath Ankylosing Spondylitis Radiology Index and modified Stoke Ankylosing Spondylitis Spine), showing more marked radiographic spinal changes and worse hip involvement than women (<xref ref-type="bibr" rid="B50">Kennedy et al., 1993</xref>; <xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). Confirming this, <xref ref-type="bibr" rid="B55">Lee et al. (2007)</xref> demonstrated a more severe radiographic damage among men who showed higher median BASRI&#x2212;spine scores both in unadjusted and adjusted analyses for age and disease duration. On the other hand, the signs of peripheral involvements such as dactylitis, enthesitis, or swollen joint count appear to be significantly more prevalent in women (<xref ref-type="bibr" rid="B50">Kennedy et al., 1993</xref>; <xref ref-type="bibr" rid="B89">Rusman et al., 2020</xref>). Extra-articular manifestations also appear with a higher rate in female patients (<xref ref-type="bibr" rid="B52">Landi et al., 2016</xref>). Concerning acute anterior uveitis, a recent review reported a slightly higher predominance in women (M/F = 28/33%) (<xref ref-type="bibr" rid="B120">Zeboulon et al., 2008</xref>), as in patients affected by IBD (<xref ref-type="bibr" rid="B95">Stolwijk et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Landi et al., 2016</xref>) or PsO (M/F = 25/33%) (<xref ref-type="bibr" rid="B95">Stolwijk et al., 2015</xref>; <xref ref-type="bibr" rid="B52">Landi et al., 2016</xref>) studies report a higher predominance in female patients. Regarding comorbidities such as cardiovascular diseases (CVD) and osteoporosis (Op), non-conclusive data are available on gender differences; evidences on CVD are scarce while a study on young males reported that 51% had a low bone mineral density (BMD) and 15% had Op (<xref ref-type="bibr" rid="B119">Zarco et al., 2015</xref>), another study concluded that male patients have a 4 times greater risk for low BMD compared with females (<xref ref-type="bibr" rid="B106">van der Weijden et al., 2012</xref>). These latter data are in contrast with those regarding the general population, where Op is typically prevalent in post-menopausal women (<xref ref-type="bibr" rid="B106">van der Weijden et al., 2012</xref>). Furthermore, CRP levels appear to be significantly higher, at baseline levels, in male patients compared with females, while no conclusive sex differences have been found for ESR (<xref ref-type="bibr" rid="B48">Jordan and Cooper, 2002</xref>; <xref ref-type="bibr" rid="B107">van der Weijden et al., 2011</xref>). Finally, women show higher disease activity, mostly in terms of subjective measures, reporting worse baseline BASDAI scores (in particular total and nocturnal back pain, duration of morning stiffness, and fatigue) as widely described in many studies (<xref ref-type="bibr" rid="B104">van der Horst-Bruinsma et al., 2013</xref>; <xref ref-type="bibr" rid="B87">Rubio Vargas et al., 2016</xref>; <xref ref-type="bibr" rid="B51">Kilic et al., 2017</xref>) while just a few studies described differences for baseline scores, being concordantly lower in females, of BASFI (<xref ref-type="bibr" rid="B104">van der Horst-Bruinsma et al., 2013</xref>; <xref ref-type="bibr" rid="B87">Rubio Vargas et al., 2016</xref>) and ASDAS-CRP (<xref ref-type="bibr" rid="B114">Webers et al., 2016</xref>). At the same time, female patients display less improvement in BASDAI, BASFI, and ASDAS-CRP scores after treatment (<xref ref-type="bibr" rid="B104">van der Horst-Bruinsma et al., 2013</xref>; <xref ref-type="bibr" rid="B61">Neuenschwander et al., 2020</xref>). In addition, women report worse quality of life when the Ankylosing Spondylitis Quality of Life questionnaire (ASQoL) and the Assessment of SpondyloArthritis international Society Health Index (ASA-HI) were used while no gender differences were found using the EuroQoL and the SF-36 Health Survey (<xref ref-type="bibr" rid="B50">Kennedy et al., 1993</xref>; <xref ref-type="bibr" rid="B86">Roussou and Sultana, 2011</xref>; <xref ref-type="bibr" rid="B97">Tournadre et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Lubrano et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Ib&#x00E1;&#x00F1;ez Vodnizza et al., 2020</xref>; <xref ref-type="bibr" rid="B61">Neuenschwander et al., 2020</xref>). In summary, men with ax-SpA present higher objective markers of inflammation associated with radiological progression, although severe ankylosis also occurs in females. Nonetheless, women generally have higher subjective indicators of disease activity and, in addition, more peripheral involvement and extra-articular manifestations. As for comorbidities, osteoporosis has an unexpectedly high prevalence in young male patients. Concerning sex related differences in Entheropatic arthritis (EA), few data are available in literature and a small number of studies explored this topic, reporting axial manifestations as more frequently present in male patients than in females and women appear to be more likely to develop both type 1 and type 2 arthropathy (<xref ref-type="bibr" rid="B24">Dougados et al., 1991</xref>; <xref ref-type="bibr" rid="B63">Orchard et al., 1998</xref>; <xref ref-type="bibr" rid="B101">Turkcapar et al., 2006</xref>; <xref ref-type="bibr" rid="B85">Rodr&#x00ED;guez-Reyna et al., 2009</xref>; <xref ref-type="bibr" rid="B118">Y&#x00FC;ksel et al., 2011</xref>; <xref ref-type="bibr" rid="B69">Peluso et al., 2013</xref>; <xref ref-type="bibr" rid="B71">Picchianti-Diamanti et al., 2020</xref>). On the contrary, several findings suggest the presence of sex-related differences in PsA patients. It is reported that male patients have a high prevalence of axial disease and a high frequency of HLA-B27 antigens positivity, while women tend to have a more erosive disease, higher number of swollen joint count and a higher prevalence of disability (<xref ref-type="bibr" rid="B32">Gladman et al., 1992</xref>; <xref ref-type="bibr" rid="B76">Queiro et al., 2001</xref>; <xref ref-type="bibr" rid="B109">Wallenius et al., 2009</xref>; <xref ref-type="bibr" rid="B77">Queiro et al., 2013</xref>). <xref ref-type="bibr" rid="B26">Eder et al. (2013)</xref> demonstrated, on a large cohort of PsA patients, that axial involvement is more frequent in men as well as radiographic damage in both axial and peripheral joints (assessed with the modified Stokes Ankylosing Spondylitis Spine Score and the modified Steinbrocker score), while women reported with a higher frequency functional limitation and impaired quality of life (reporting higher scores in HAQ and BASFI and lower in the SF-36-PCS). In addition, differences were found in the pattern of arthritis at onset: women presented more frequently with the polyarticular subtype while men presented with olygoarthritis. On the other hand, the authors reported no significant differences in active and swollen joint counts, the presence of dactylitis, inflammatory spinal pain, and PASI score even if psoriatic nail lesions were more frequently found in men (<xref ref-type="bibr" rid="B76">Queiro et al., 2001</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Clinical differences related to gender in Ankylosing Spondylitis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="center" colspan="2">Sex related differences in AS</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Radiological progression Radiological damage</td>
<td valign="top" align="left"><bold>&#x2191;</bold>In men</td>
</tr>
<tr>
<td valign="top" align="left">Axial involvement</td>
<td valign="top" align="left"><bold>&#x2191;</bold>In men</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral involvement</td>
<td valign="top" align="left"><bold>&#x2191;</bold> In women</td>
</tr>
<tr>
<td valign="top" align="left">Swollen joint count</td>
<td valign="top" align="left"><bold>&#x2191;</bold>In women</td>
</tr>
<tr>
<td valign="top" align="left">Osteoporosis</td>
<td valign="top" align="left"><bold>&#x2191;</bold> In men</td>
</tr>
<tr>
<td valign="top" align="left">Disease activity scores</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">BASDAI, baseline</td>
<td valign="top" align="left"><bold>&#x2191;</bold> In women</td>
</tr>
<tr>
<td valign="top" align="left">BASDAI, improvement</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">BASFI, improvement</td>
<td valign="top" align="left"><bold>&#x2191;</bold>In men</td>
</tr>
<tr>
<td valign="top" align="left">AS DAS, improvement</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">ASQoL AS AS-HI</td>
<td valign="top" align="left"><bold>&#x2191;</bold>In men</td>
</tr>
<tr>
<td valign="top" align="left">EuroQoL</td>
<td valign="top" align="left">No differences</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>AS, Ankylosing Spondylitis; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; BASFI, Bath Ankylosing Spondylitis Functional Index; ASDAS, Ankylosing Spondylitis Disease Activity Score; ASQoL, Assessment of Spondyloarthritis Quality of life; ASA-HI, Assessment of Spondyloarthritis international Society Health Index; EQ-5D, EuroQoL-5D; SF-36 HS, SF-36 Health Status.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S5">
<title>Gender and Genetic Polymorphisms</title>
<p>Accumulating evidence suggests that gender differences in severity of SpA and treatment response could be due to genetic, immunological and hormonal factors (<xref ref-type="bibr" rid="B8">Brown et al., 1997</xref>). Female karyotype includes two X chromosomes, one of which is randomly silenced during embryogenesis. However, about 15% of the genes escape inactivation, leading to overexpression of some X-linked genes in females. The X chromosome encodes several immune-related genes, such as TLR7, TLR8, FOXP3, and IL-2 receptor gamma, whose overexpression may influence the immune response in a sex-dependent manner. For instance, male carriers of TLR9 <italic>rs187084</italic> variant allele have an increased production of IFN-&#x03B3; and TNF&#x03B1;, and women with <italic>rs5743836&#x002A;C</italic> allele have a higher risk of developing SpA (<xref ref-type="bibr" rid="B62">Oliveira-Tor&#x00E9; et al., 2019</xref>). Moreover, in contrast to the Y chromosome, the X chromosome is highly enriched in miRNAs, and some of them are reported to play a role in immunity or autoimmunity (<xref ref-type="bibr" rid="B65">Ortona et al., 2016</xref>). Different variants of the ANKH gene, which encode for a protein involved in osteogenesis and structural damage in axSpA, are expressed in men and women with AS. In women, AS seemed to be associated with genetic markers at the 5&#x2032; end of the ANKH gene, whereas in men with genetic markers at the 3&#x2032; end of this gene (<xref ref-type="bibr" rid="B99">Tsui et al., 2005</xref>). In this latter region, haplotype analysis has shown several SNPs associated with AS, supporting the greater predisposition of the male sex to develop AS. Moreover, different haplotypes combinations were significantly associated with AS in men (including <italic>rs26307</italic> and <italic>rs27356</italic> SNPs) and in women (including <italic>rs28006</italic> and <italic>rs25957)</italic> SNPs) (<xref ref-type="bibr" rid="B65">Ortona et al., 2016</xref>). Furthermore, one specific haplotype in TNAP (tissue-non-specific alkaline phosphatase) gene, which interplays with the ANKH gene in ossification, was associated with AS in men but not in women (<xref ref-type="bibr" rid="B99">Tsui et al., 2005</xref>). A recent study on AS patients identified an upregulation of IL-17RA gene expression in men compared with women, as well as greater levels of TNF&#x03B1;, IL-18, IL-17A, and peripheral T-helper 17 cells. On the contrary, IL-6 levels were higher in women than in men (<xref ref-type="bibr" rid="B100">Tsui et al., 2007</xref>; <xref ref-type="bibr" rid="B34">Gracey et al., 2016</xref>). Sex differences in the expression of these genes could explain the higher prevalence and radiographic progression of AS in men compared with women and might be also influenced by sex hormones (<xref ref-type="bibr" rid="B41">Huang et al., 2012</xref>; <xref ref-type="bibr" rid="B20">Cutolo and Straub, 2020</xref>). Although few studies have investigated sex differences separately, several analyses have assessed sex as a possible predictor in relation to treatment efficacy and drug survival. Recent studies have shown that women tended to discontinue TNFi earlier than men both in axSpA and in PsA (<xref ref-type="bibr" rid="B58">Lubrano et al., 2017</xref>; <xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). This might be partly explained by the lower prevalence of HLA-B27, a longer disease duration, and a greater fat mass in women than men. These factors are associated with a lower TNFi treatment response (<xref ref-type="bibr" rid="B86">Roussou and Sultana, 2011</xref>). Moreover, data from registries, such as the DANBIO and BSRBR, suggested that women also suffered from more side effects that have led to the discontinuation of the drugs (<xref ref-type="bibr" rid="B91">Saad et al., 2009</xref>; <xref ref-type="bibr" rid="B33">Glintborg et al., 2011</xref>). Polymorphisms within the TNF promoter region have been identified to influence clinical efficacy of etanercept in RA, AS, and PsA patients (<xref ref-type="bibr" rid="B72">Pierik et al., 2004</xref>; <xref ref-type="bibr" rid="B59">Morales-Lara et al., 2012</xref>). TNFR1A variant <italic>rs767455/G36A</italic> in PsA patients has been associated with a better EULAR response at 3 months to infliximab and similar results were obtained in CD patients (<xref ref-type="bibr" rid="B72">Pierik et al., 2004</xref>; <xref ref-type="bibr" rid="B59">Morales-Lara et al., 2012</xref>). On the contrary, the TNFAIP3 <italic>rs2230926</italic> and <italic>rs610604 variant alleles</italic> seem to be correlated with better TNFi response in PsO patients, while <italic>rs6920220</italic> and <italic>rs610604</italic> are associated with an improvement in the quality of life in PsA patients receiving TNFi (<xref ref-type="bibr" rid="B96">Tejasvi et al., 2012</xref>; <xref ref-type="bibr" rid="B66">Ovejero-Benito et al., 2019</xref>). One study suggested that TNFi failure can occur in AS patient carriers of variants within macrophage migration inhibitory factor (MIF) gene (<italic>rs755622</italic>), IL-18R gene (rs917997), IL10 (rs1800896), and TNFRSFB1 (rs4355801) (<xref ref-type="bibr" rid="B93">Schiotis et al., 2014</xref>). Another study has reported that female gender, elevated basal BASFI index, and being a CHUK gene <italic>rs11591741-GC</italic> genotype carrier are predictors of long-term non-response to TNFi in SpA patients (<xref ref-type="bibr" rid="B73">Polo et al., 2019</xref>). Moreover, a lower level of clinical response measured by ASDAS and BASDAI index was observed in females (<xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). Different miRNAs, such as miR-146a, miR-155, miR-625-3p, and miR-29a were linked to BASDAI, reflecting disease activity in AS with spinal involvement. In addition, miR-146a-5p, miR-125a-5p, and miR-22-3p expression were correlated with the plasma cytokine levels (TNF&#x03B1;, IL-1&#x03B2;, and IL-5), CRP and ESR (<xref ref-type="bibr" rid="B70">Perez-Sanchez et al., 2018</xref>). Downregulation of miR-199a-5p has been associated with increased TNF&#x03B1;, IL-17, and IL-23 in AS, suggesting that miRNAs could distinguish SpA phenotypes responsive to inhibitors of TNF&#x03B1;, IL-17, or IL-23 (<xref ref-type="bibr" rid="B6">Berlinberg and Kuhn, 2020</xref>). Proinflammatory cytokines, such as IL-17, are decisively involved in all clinical manifestations of SpA, and different concentrations of the cytokines are observed between men and women (<xref ref-type="bibr" rid="B65">Ortona et al., 2016</xref>). The use of secukinumab is widely diffused in our clinical practice for SpA management (<xref ref-type="bibr" rid="B16">Chimenti et al., 2019b</xref>). Recently the efficacy of secukinumab has been evaluated in patients with SpA, both in PsA and in AS patients. At the multivariate analysis, there was no gender influence concerning treatment efficacy. However, gender difference was observed according to drug-survival, particularly in the AS population: males had a higher persistence rate than females; this was not demonstrated in PsA patients (<xref ref-type="bibr" rid="B13">Chimenti et al., 2020a</xref>).</p>
</sec>
<sec id="S6">
<title>Gender and Hormones in Axial SpA</title>
<p>Since last century, the role of sex hormones has been hypothesized for the development of immune mediated diseases. Generally, estrogens have roles in both enhancing and inhibiting immune system activity, whereas androgens and progesterone exert suppressive effects (<xref ref-type="bibr" rid="B20">Cutolo and Straub, 2020</xref>). It has been reported that sex steroids can influence epigenetic modulation and expression of microRNAs that interfere with immune responses in autoimmune rheumatic diseases (<xref ref-type="bibr" rid="B34">Gracey et al., 2016</xref>). However, their role in SpA has been only partially evaluated. Estrogen has mainly anti-inflammatory effects, by inhibiting TNF&#x03B1; production, but contradicting results were presented (<xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). This concept was previously supported by an old study demonstrating an improvement of arthritis in AS patients treated with oral estrogen and a worsening of disease in patients with low levels of estrogens (<xref ref-type="bibr" rid="B34">Gracey et al., 2016</xref>). Conversely, a more recent report showed neither difference in onset nor severity of AS female patients despite differences in serum estrogen concentration (<xref ref-type="bibr" rid="B41">Huang et al., 2012</xref>). For instance, estrogen modulates immune-related processes such as T cell differentiation and cytokine production and animal model studies have suggested that estrogen can inhibit Th17 differentiation from na&#x00EF;ve T cells and in human 17&#x03B2;-estradiol (E2) levels are lower in patients with active AS than in those with inactive AS (<xref ref-type="bibr" rid="B102">Tyagi et al., 2012</xref>). Experimental models, such as E2-treated mice, showed a relationship among cytokines production and sex hormones: a decreased expression of TNF in the joint tissue was demonstrated supporting the inhibition of TNF production by estrogens (<xref ref-type="bibr" rid="B44">Ito et al., 2001</xref>). Estrogen-deficient female rats are also reported to have higher serum TNF than estrogen-supplemented animals and high and medium doses of estrogen increased the production of IL-4, IL-10, and TGF-&#x03B2;, whereas estrogen treatment reduced the production of inflammatory cytokines such as IFN-&#x03B3;, IL-17, and IL-6. The relevant role of IL-17 in SpA pathogenesis and in particular in axial manifestation is well noted in clinical practice. A link between sex hormones and Th17 activation was demonstrated: estrogen inhibits Th17 cell. In ovariectomized DBA/1 mice with collagen-induced arthritis (CIA), E2 treatment reduces the severity of arthritis and results in fewer Th17 cells in the joints compared with controls (<xref ref-type="bibr" rid="B3">Andersson et al., 2015</xref>). <xref ref-type="bibr" rid="B46">Jeong et al. (2017)</xref> recently aimed to evaluate the effect of estrogen on the disease activity of SpA in a mouse model of SpA. The E2-treated group had significantly suppressed arthritis compared with both the ovariectomized and the sham groups. Furthermore, the expression of Dkk1 was significantly increased in E2-treated mice compared with the ovariectomized and sham groups and the expression of Wnt inhibitors was inhibited by estrogen (<xref ref-type="bibr" rid="B46">Jeong et al., 2017</xref>). Considering that blockade of Wnt inhibitors induced the fusion of sacroiliac joints and increased bone formation, estrogens might act in controlling Wnt pathway and used as a therapeutic target (<xref ref-type="bibr" rid="B103">Uderhardt et al., 2010</xref>). Unfortunately, in SpA, neither androgens and androgen receptors nor estrogen receptors polymorphisms were evaluated. Shorter CAG repeats of the androgen receptor gene presenting high levels of transactivation activity were demonstrated in a Japanese cohort of AS patients, supporting a role in male AS development (<xref ref-type="bibr" rid="B60">Mori et al., 2000</xref>). The role of microbiota has been previously described in SpA and its link with HLA B27 has been reported (<xref ref-type="bibr" rid="B15">Chimenti et al., 2018</xref>). Interestingly, women and men tend to have different gut microbiota, suggesting that sex hormones might have an effect on microflora, even if the mechanism still remains unclear (<xref ref-type="bibr" rid="B20">Cutolo and Straub, 2020</xref>). Sex-dependent differences in gut microbiota may lead to genetic or epigenetic changes in local gastrointestinal inflammation, systemic immunity, and susceptibility to a range of rheumatic diseases (<xref ref-type="bibr" rid="B82">Rizzetto et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Cutolo and Straub, 2020</xref>). However, no progress has been made in decoding the unequivocal role of sex steroids in gut microbiota-related effects on SpA patients. Moreover, several studies in humans have highlighted that sex- related differences in the microbiota can occur across the lifespan of an individual, making results questionable (<xref ref-type="bibr" rid="B22">Ding and Schloss, 2014</xref>; <xref ref-type="bibr" rid="B45">Jaggar et al., 2019</xref>). Other relationships between gender and hormones are associated with levels of circulating adipokines. It is well known that obesity, body composition, and adipokines have an influence on differences in disease activity, progression, and response to treatment, between men and women with SpA (<xref ref-type="bibr" rid="B90">Rusman et al., 2018</xref>). Body fat content is higher in women than men and obesity is related to worse disease activity scores in SpA. In details, leptin, which is usually found at higher levels in overweight women and higher in women than men, was associated to spinal radiographic progression. Moreover, women also have higher circulating adiponectin levels, which is an insulin-sensitizing hormone. Positive correlations with inflammatory biomarkers, such as CRP and TNF, have been observed for leptin (<xref ref-type="bibr" rid="B36">Gra&#x00DF;mann et al., 2017</xref>). Being a woman and being obese, mainly because of the body fat content, are related to a worse response to TNF-&#x03B1; blockers (<xref ref-type="bibr" rid="B42">Ib&#x00E1;&#x00F1;ez Vodnizza and van der Horst-Bruinsma, 2020</xref>).</p>
</sec>
<sec id="S7">
<title>Conclusion</title>
<p>Based on genetic predisposition related to HLA-B27, SpA was generally considered as a male disease. As a matter of fact, in 1949, the male:female ratio was estimated to be 10:1 for AS patients; yet recent data have established a new 2&#x2013;3:1 ratio (<xref ref-type="bibr" rid="B50">Kennedy et al., 1993</xref>). This epidemiological difference from past to present is due to several considerations: (1) the improvement and the development of new classification criteria aiming at the inclusion of early disease phases as well as the definition of non-radiographic SpA, (2) the better knowledge of clinical manifestations of SpA in the rheumatological field but also in other disciplines, (3) the improvement of radiological techniques for diagnosis and management. However, the highest prevalence of some clinical manifestations in females with respect to male suggested differences in the pathogenesis of SpA. The relevance of genetic and epigenetic phenomena in SpA pathogenesis was highlightened in this review, as well as the role of sex hormones, supporting the need of a redefinition of clinical and therapeutic targets. bDMARDs dramatically improved the management and quality of life of patients affected by SpA. With the availability of TNFi, research interests were oriented in order to identify potential clinical variables and biomarkers able to define the best responder to these drugs (<xref ref-type="bibr" rid="B87">Rubio Vargas et al., 2016</xref>). Different drugs with different mechanisms of action such as Il-17 inhibitors or Jak-inhibitors may have the same effect and efficacy in both men and women.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor declared a past co-authorship with the authors RP, PT, PC, and MC.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>This review is dedicated to our beloved Professor Roberto Perricone, distinguished Professor of Rheumatology and Chief and Chairman of the Department of Rheumatology at University of Rome Tor Vergata.</p>
</ack>
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