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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">626107</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.626107</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Interplay Between Endocrine Disruptors and Immunity: Implications for Diseases of Autoreactive Etiology</article-title>
<alt-title alt-title-type="left-running-head">Popescu et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Endocrine Disruptors Influence Immune Function</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Popescu</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="http://loop.frontiersin.org/people/1131879/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feldman</surname>
<given-names>Talia B.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="http://loop.frontiersin.org/people/1184042/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chitnis</surname>
<given-names>Tanuja</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="http://loop.frontiersin.org/people/698012/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Harvard Medical School, <addr-line>Boston</addr-line>, <addr-line>MA</addr-line>, <country>United&#x20;States</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Brigham Multiple Sclerosis Center, Department of Neurology, Brigham and Women&#x2019;s Hospital, <addr-line>Boston</addr-line>, <addr-line>MA</addr-line>, <country>United&#x20;States</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Ann Romney Center for Neurologic Diseases, Brigham and Women&#x2019;s Hospital, <addr-line>Boston</addr-line>, <addr-line>MA</addr-line>, <country>United&#x20;States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/445503/overview">Luigia Trabace</ext-link>, University of Foggia, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/499337/overview">Claudio Pirozzi</ext-link>, University of Naples Federico II, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/15699/overview">Hexin Chen</ext-link>, University of South Carolina, United&#x20;States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1171326/overview">Marina Ziche</ext-link>, University of Siena, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Tanuja Chitnis, <email>tchitnis@rics.bwh.harvard.edu</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Inflammation Pharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>03</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>626107</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>11</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Popescu, Feldman and Chitnis.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Popescu, Feldman and Chitnis</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>The sex-bias of disease susceptibility has remained a puzzling aspect of several autoimmune conditions, including post-infection viral autoimmunity. In the last half of the twentieth century, the incidence rate of female-biased autoimmunity has steadily increased independent of medical advances. This has suggested a role for environmental factors, such as endocrine disrupting chemicals, which have been described to interfere with endocrine signaling. Endocrine involvement in the proper function of innate and adaptive immunity has also been defined, however, these two areas have rarely been reviewed in correlation. In addition, studies addressing the effects of endocrine disruptors have reported findings resulting from a broad range of exposure doses, schedules and models. This experimental heterogeneity adds confusion and may mislead the translation of findings to human health. Our work will normalize results across experiments and provide a necessary summary relevant to human exposure. Through a novel approach, we describe how different categories of ubiquitously used environmental endocrine disruptors interfere with immune relevant endocrine signaling and contribute to autoimmunity. We hope this review will guide identification of mechanisms and concentration-dependent EDC effects important not only for the sex-bias of autoimmunity, but also for other conditions of immune dysfunction, including post-infection autoreactivity such as may arise following severe acute respiratory syndrome coronavirus 2, Epstein-Barr virus, Herpes Simplex&#x20;virus.</p>
</abstract>
<kwd-group>
<kwd>endocrine disruptors</kwd>
<kwd>immunity</kwd>
<kwd>autoimmunity</kwd>
<kwd>environmental factors</kwd>
<kwd>sex hormones</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The gradual increase in the female to male disease susceptibility ratio, including for autoimmune and metabolic disease, has been globally reported despite progressive medical advancements. In parallel, production of synthetic materials and their implementation in commercial goods has seen a similar upward trend. To meet consumer demand, a variety of products have now been manufactured using chemical additives. Several of these synthetic compounds have the ability to disrupt normal endocrine function and have appropriately been termed endocrine-disrupting chemicals (EDCs), or xenohormones. Widespread detection of EDCs in the serum and adipose tissue of humans and wildlife alike has drawn attention to the role of environmental factors. Sex-hormones, most notably estrogen, are established modulators of immune cell populations (<xref ref-type="bibr" rid="B95">Orton, Herrera et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B12">Bove and Chitnis 2014</xref>). EDCs with estrogenic activity may have therefore contributed to the steady increase in the female to male disease susceptibility ratio, raising concern over their continued ability to modulate immunity in the future. To understand the diversity and sex-bias of immune responses as well as potential triggers for autoimmunity and post-infection autoimmunity, we will provide a comprehensive account of estrogen signaling modalities and the role of estrogen-like EDCs in innate and adaptive immunity.</p>
<p>The choice of focused categories herein presented is relative to the vast diversity of EDCs. The risk for environmental contamination and human exposure depends on the degree and use frequency of EDCs in consumer products. Three such ubiquitous categories are (1) phenols, (2) parabens, and (3) phthalates. Xenoestrogens inclusive of each category exhibit various immunomodulatory functions and are therefore implicit in immune dysfunction, as well as, in the onset and progression of diseases with autoreactive attributes. Together with the inherent dependency of female biology on estrogen, EDCs emerge as driving factors for the increased female to male disease susceptibility ratio. To illustrate, adaptive immune dysfunction induced by phenols results in reduced influenza A viral titers in females, but enhanced production of autoantibodies and overall IgM secretion (<xref ref-type="bibr" rid="B136">Yurino et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B99">Peretz et&#x20;al., 2016</xref>). Likewise, parabens are associated with diabetic autoimmunity, such as gestational diabetes and the increased onset risk for future diabetes (<xref ref-type="bibr" rid="B75">Liu et&#x20;al., 2019</xref>). Phthalate compounds and their metabolites similarly enhance insulin resistance and lead to an increased risk of type 1 and 2 diabetes (<xref ref-type="bibr" rid="B16">Castro-Correia et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B104">Radke et&#x20;al., 2019</xref>). Furthermore, phenols, parabens and phthalates all have effects upon innate immunity, including on cytokine secretion, which indicates that EDCs inadvertently play an additional role in the dysfunction of adaptive responses.</p>
<p>Despite compelling evidence, studies of EDC effects have reported results across a broad range of exposure doses, schedules and models, which has added heterogeneity and confusion in translating findings to human health. Our review will normalize results across experiments for each EDC category, to provide a summary of effects relevant to innate and adaptive immunity, as well as for autoimmunity. Because EDCs have rarely been reviewed in the context of immunoendocrine interactions, we also describe normal estrogen signaling modalities and the likely influence of the three EDC categories. To the best of our knowledge, this approach will be novel and can expand environmental considerations for different aspects of immunity. We hope this review will guide the identification of mechanisms and exposure effects that are important not only for the sex-bias of autoimmune diseases, but also for related conditions of immune dysfunction, including the post-infection autoreactivity characterized for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Epstein-Barr virus (EBV), Herpes Simplex virus and others (<xref ref-type="bibr" rid="B1">Alexopoulos et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B85">Maslinska, 2019</xref>; <xref ref-type="bibr" rid="B26">Dalakas, 2020</xref>; <xref ref-type="bibr" rid="B70">Lazarian et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B81">Mallapaty, 2020</xref>).</p>
<sec id="s1-1">
<title>Categorization of EDCs</title>
<p>EDCs belong to the broad classification of chemical additives, including plasticizers, resins, and antimicrobial agents. The formal definition for EDCs describes them as, &#x201c;environmental agents that interfere with the normal function of endogenous hormones&#x201d;. Exposure results from either the direct use of diverse household commodities, such as personal care products, toys, electronics and others, or from contaminated environmental sources, such as, soil and water (<xref ref-type="bibr" rid="B29">Di Nisio and Foresta, 2019</xref>). Toxicological findings have identified effects of EDCs upon critical periods of development, including prenatal, perinatal, and pubertal development (<xref ref-type="bibr" rid="B39">Gorski, 2002</xref>). Such early developmental disruptions cause hormonal dysfunction and establish lifelong consequences, such as increased susceptibility to disease (<xref ref-type="bibr" rid="B22">Collman, 2011</xref>).</p>
<p>Xenoestrogens are a subset of EDCs that exhibit structural and functional mimicry of estrogen, including phenols, parabens and phthalates. Phenol EDCs include benzene-derived compounds, for which exposure generally occurs through inhalation, ingestion, or dermal contact. In humans, phenol urine levels less than 1,000&#xa0;&#x3bc;g/L are considered normal (<xref ref-type="bibr" rid="B94">Ong and Lee, 1994</xref>). Past reports have indicated that 55% of Americans had detectable 4-tertiary-octylphenol (OP) in urine (0.2&#x2013;20.6&#xa0;&#x3bc;g/L) and high bioaccumulation of nonylphenol (NP) in breast milk (56.3&#xa0;&#x3bc;g/L) (<xref ref-type="bibr" rid="B15">Calafat et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B53">Hwang et&#x20;al., 2015</xref>). Levels of bisphenol A (BPA, 0.7&#x2013;2.3 ug/L), bisphenol S (BPS, 0.2&#x2013;0.8 ug/L) and bisphenol F (BPF, LOD-0.7 ug/L) have also been reported (<xref ref-type="bibr" rid="B55">Jacobson et&#x20;al., 2019</xref>).</p>
<p>The second category of EDCs, parabens, include alkyl esters of <italic>p</italic>-hydroxybenzoic acid, such as methyl (MP), ethyl (EP), propyl (PP) and butyl (BP) parabens. Exposure occurs primarily through dermal absorption (2,400&#xa0;&#x3bc;g/kg/d), but also through ingestion of food (13&#xa0;&#x3bc;g/kg/d) and pharmaceuticals (417&#xa0;&#x3bc;g/kg/d). Similar with phenols, parabens are also detected in human breast milk (total: 1.87&#x2013;49&#xa0;&#xb5;g/L) (<xref ref-type="bibr" rid="B98">Park et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B30">Dualde et&#x20;al., 2020</xref>).</p>
<p>Phthalates, derived from the esterification of phthalic acids, comprise the third EDC category. Akin to phenols and parabens, exposure includes oral, dermal and inhalation pathways. Although phthalates do not generally bioaccumulate, they have low target binding and can leak from products into the environment (<xref ref-type="bibr" rid="B50">Heudorf et&#x20;al., 2007</xref>). Manufacturing changes have led to decreased detection of certain parabens, such as dibutyl phthalate (DBP) and di (2-ethylhexyl) phthalate (DEHP). In contrast, levels of substitute phthalates, including diisobutyl phthalate (DiBP) and diisononyl phthalate (DNP), have increased (<xref ref-type="bibr" rid="B125">Wittassek et&#x20;al., 2007</xref>).</p>
</sec>
<sec id="s1-2">
<title>Estrogen Signaling</title>
<sec id="s1-2-1">
<title>Estrogen Receptor-&#x3b1; and -&#x3b2;</title>
<p>Estrogens are critical for sexual and reproductive development especially in females and come in several similar chemical forms. Estradiol (E2) is the most abundant in cycling females, while estrone (E1) predominates in the postmenopausal period, and estriol (E3) and estrane (E4) predominate during pregnancy. Activity of endogenous estrogens, predominantly estradiol (E2) is primarily potentiated by the estrogen receptor-&#x3b1; (ER&#x3b1;) and ER&#x3b2;, although an E2-specific G-protein coupled estrogen receptor-1 (GPER-1) has also been described. Hormone diffusion through the plasma membrane followed by receptor binding in the cytoplasm initiates canonical estrogen-to-ER signaling. Ligand-induced receptor dimerization and nuclear translocation lead to receptor-complexes that either directly bind estrogen responsive DNA elements (EREs) or complex with co-activators and co-repressors to regulate transcription of target genes (<xref ref-type="bibr" rid="B72">Levin and Hammes, 2016</xref>; <xref ref-type="bibr" rid="B35">Fuentes and Silveyra, 2019</xref>). ER&#x3b1; and ER&#x3b2; can also heterodimerize, however their function is unclear, especially in contrast with the role of homodimers, such as proliferative ER&#x3b1;-ER&#x3b1; and suppressive/apoptotic ER&#x3b2;-ER&#x3b2; (<xref ref-type="bibr" rid="B24">Cowley et&#x20;al., 1997</xref>; <xref ref-type="bibr" rid="B96">Papoutsi et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B116">Thomas and Gustafsson, 2011</xref>). ER signaling is complex and further diversified by the ability of receptors to localize at the plasma membrane in either truncated or full-length form, where they potentiate rapid non-genomic (non-translational) estrogen signaling (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>) (<xref ref-type="bibr" rid="B92">Moss et&#x20;al., 1997</xref>; <xref ref-type="bibr" rid="B34">Flouriot et&#x20;al., 1998</xref>; <xref ref-type="bibr" rid="B20">Chambliss et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B41">Govind and Thampan, 2003</xref>; <xref ref-type="bibr" rid="B43">Hammes and Levin, 2007</xref>; <xref ref-type="bibr" rid="B137">Zhang et&#x20;al., 2011</xref>). Other binding events at the cell membrane may also occur, such as interaction of full length ER&#x3b1; with G-proteins or with truncated isoforms of either ER&#x3b1; or ER&#x3b2; (<xref ref-type="bibr" rid="B66">Kumar et&#x20;al., 2007</xref>). Isoforms of ER&#x3b2;, in particular, may further dimerize. Both homo- and heterodimers of ER&#x3b2; isoforms have been characterized, each with its own distinct signaling modality. For example, homodimers of ER&#x3b2; isoforms initiate estrogen-independent transcription whereas only heterodimers can initiate ligand-dependent transcription (<xref ref-type="bibr" rid="B91">Moore et&#x20;al., 1998</xref>; <xref ref-type="bibr" rid="B71">Leung et&#x20;al., 2006</xref>). Heterodimers of ER&#x3b2; isoforms with full length ER&#x3b2; can also form, and this increases the estrogen-independent transcriptional activity by four-fold. Activity of some, but not all, heterodimers of ER&#x3b2; isoforms can be inhibited by ER&#x3b1; (<xref ref-type="bibr" rid="B101">Poola et&#x20;al., 2005</xref>). Evidently, the complexity of estrogen signaling, and the diversity of ER modalities are critical for properly evaluating the effects of EDCs on individual immune populations. Although E2 generally has a higher affinity for its receptors compared to most EDCs, xenoestrogens can activate alternatively available ERs when estrogen is otherwise engaged. These EDC complexes may then act in retrograde upon complexed E2-ERs, ER-genes, or EREs to disrupt their activity.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p> Estrogen signaling and interference by varying categories of EDCs. <bold>(A)</bold> Diversity of estrogen signaling modalities; estradiol (E2) activates several receptor targets to transduce both genomic and non-genomic signaling pathways. <bold>(B)</bold> Phenol-induced deregulation impacts both estrogen receptors, (ER)&#x03B1; and ER&#x03B2; by genomic/intracellular partial antagonism; binding of phenols is also sterically directed. <bold>(C)</bold> Paraben EDCs exhibit similar deregulation of estrogen signalling pathways, including decreased expression of both estrogen receptors, (ER)&#x03B1; and ER&#x03B2;, but their activity is largely limited on the basis of alkyl-group size. <bold>(D)</bold> Phthalate compounds display simultaneous agonistic and antagonistic effects on estrogen signaling modalities; similar to parabens, phthalate effects are also size and shape dependent. E2, estradiol; ERR, estrogen related receptor; tER, truncated estrogen receptor; GPER-1, G-protein coupled estrogen receptor 1; rER, rough endoplasmic reticulum; mER, membrane estrogen receptor; G-proteins, G-protein coupled receptor proteins; BPA, bisphenol A; BPF, bisphenol F; MP, methyl paraben; EP, ethyl paraben; BBP, benzyl butyl phthalate; DEP, diethyl phthalate; DEHP, di(2-ethylhexyl) phthalate.</p>
</caption>
<graphic xlink:href="fphar-12-626107-g001.tif"/>
</fig>
</sec>
<sec id="s1-2-2">
<title>Non-estrogen Receptor Targets</title>
<p>Alternative targets to the ERs have been extensively described. Estrogen-related receptors (ERRs), notably ERR&#x3b3;, constitutively (sans-ligand) bind either estrogen-related and EREs or naked DNA and non-E2-related co-activators (<xref ref-type="bibr" rid="B52">Horard and Vanacker, 2003</xref>; <xref ref-type="bibr" rid="B6">Audet-Walsh and Giguere, 2015</xref>). GPER-1, a G-protein coupled receptor (GPCR) with preferential specificity for 17-&#x3b2; estradiol (E2&#x3b2;), potentiates the rapid, but transient, modulation of several signaling pathways (<xref ref-type="bibr" rid="B33">Filardo et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B106">Revankar et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B118">Thomas et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B36">Ge et&#x20;al., 2013</xref>). Distribution of GPER-1 and its functionality have been comprehensively reviewed elsewhere (<xref ref-type="bibr" rid="B21">Cheng et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B129">Xu et&#x20;al., 2019</xref>). In line with its structural classification as a seven transmembrane GPCR (7TMR), GPER-1 undergoes endocytosis, often in the absence of ligand, and has predominantly been localized in the perinuclear space. Constitutive internalization and localization of GPER-1 indicate its potential for nuclear activity, which is corroborated by identification of a putative nuclear localization sequence. This proposes that GPER-1 can initiate gene expression both by interaction with other DNA-binding nuclear receptors, or by direct E2 mediated promoter binding (<xref ref-type="bibr" rid="B79">Madeo and Maggiolini, 2010</xref>; <xref ref-type="bibr" rid="B102">Pupo et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B108">Rudelius et&#x20;al., 2015</xref>). The way by which EDCs interfere with normal GPER-1 signaling is not well defined. Many EDCs can diffuse through the cell membrane and localize within the same cytoplasmic and/or perinuclear space as occupied by GPER-1. In this vicinity, EDCs can perturb local concentration dynamics or act directly on the GPCR binding site, and thereby interfere with GPER-1 target activation.</p>
</sec>
<sec id="s1-2-3">
<title>Estrogen and Estrogen-Related EDC Interactions</title>
<p>Competitive binding of EDCs to estrogen receptor targets has preceded interference on cell metabolism, nuclear receptor turnover, and hormone sensitization. As a result of binding to ERs, transcriptional enhancement along with modulation of other signaling pathways have been increasingly reported. The diversity of EDC categories also lends diversity to EDC effects. For example, certain xenoestrogens may disrupt activation of nuclear pathways by inherent ability to diffuse and translocate through the lipid membrane, where they promote rapid and direct gene expression. Other EDCs act more distally, on G-protein coupled receptors, to disrupt homeostatic expression of transcription factors, and latently affect gene expression (<xref ref-type="bibr" rid="B132">Yoon et&#x20;al., 2014</xref>). Understanding the interplay of individual exposure, estrogen activity and immunomodulation, along with how this contributes to the collective phenomenon of autoimmunity, will lead to improved healthcare guidelines, reduced exposure burdens and novel therapeutics for the treatment of immune related disease.</p>
</sec>
</sec>
<sec id="s1-3">
<title>Phenols</title>
<p>BPA is the most extensively characterized phenol EDC and has been broadly used in numerous household products (<xref ref-type="bibr" rid="B121">Vandenberg et&#x20;al., 2009</xref>). Past estimates approximated that 93% of Americans had detectable BPA in urine (0.4&#x2013;149&#xa0;&#x3bc;g/L) (<xref ref-type="bibr" rid="B15">Calafat et&#x20;al., 2008</xref>). Despite regulatory reassurance in the past decade that BPA exposure is not deleterious within current limits, concern over adverse health effects eventually led to its tapered substitution in many consumer products, by either BPS or BPF. Limited assessment of these bisphenol analogs has permitted their unvalidated substitution in products under the label of safer or &#x201c;BPA-free&#x201d; alternatives. Emerging evidence, however, suggests not only that BPS has similar effects to BPA, but that it may, in fact, be more potent than its predecessor (<xref ref-type="bibr" rid="B32">Ferguson et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B90">Moon, 2019</xref>). Other phenols, such as alkylphenols, metabolites of ethoxylates, including NP monoethoxylates (NP1EOs) and diethoxylates (NP2EOs), all show evidence of bioaccumulation and are toxic (<xref ref-type="bibr" rid="B68">La Guardia et&#x20;al., 2001</xref>). Not surprisingly, adverse phenol effects resulting in endocrine dysfunction have been extensively reported, including abnormal mammary gland development, decreased gonad and epididymis weights, and an increased risk of type 2 diabetes mellitus (<xref ref-type="bibr" rid="B17">Cha et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B19">Chamard-Jovenin et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B135">Yu et&#x20;al., 2018</xref>). In the context of immunity, phenol interference on endocrine signaling and their activity as xenoestrogens hallmarks the critical influence of environmental factors on immune disease and emphasizes their function as exogenous immunomodulators.</p>
<sec id="s1-3-1">
<title>Binding and Mode of Action</title>
<p>The ability of phenols to bind endogenous estrogen receptors, compete with endogenous ligand, and initiate activation of downstream pathways is central to understanding how they may modulate immune cells (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). In contrast with studies on non-genomic ER activation, phenols have been more extensively characterized in the context of genomic signaling. Relative to E2, BPA has reduced affinity for ER&#x3b1; (60&#x2013;70% transactivation of E2) and exhibits preferential binding for ER&#x3b2; (80%) over ER&#x3b1;. In consequence, phenols behave as partial antagonists in the presence of E2, in that binding of the EDC is less efficacious. Related factors such as bioaccumulation and tissue distribution of phenols, as well as generation of metabolites, render these EDC compounds with a complexity that exceeds E2 binding affinity alone (<xref ref-type="bibr" rid="B89">Matthews et&#x20;al., 2001</xref>; <xref ref-type="bibr" rid="B114">Takayanagi et&#x20;al., 2006</xref>). Moreover, variations in steric complexity seem to direct binding orientation of different phenols, which controls whether transduced effects will be agonistic (BPA) or antagonistic (BPC). This is also true of co-activator recruitment and/or binding, whereby BPA is a weak agonist, but bisphenol C (BPC) serves as an antagonist, and binding of both is typically favored in the presence of high co-activator concentrations (<xref ref-type="bibr" rid="B28">Delfosse et&#x20;al., 2012</xref>). Despite this, bisphenols do act as full ER&#x3b1; agonists on cell growth, suggesting that this may be induced by direct ER-bisphenol binding to ERE DNA regions. Similar to ER-binding, phenol-GPER-1 agonist binding has been demonstrated, with relatively high affinity reported for BPA and NP (<xref ref-type="bibr" rid="B117">Thomas and Dong, 2006</xref>). In this context, GPER-1 on the rough endoplasmic reticulum can prevent phenol nuclear accessibility and allow E2-ER nuclear complex formation. Alternatively, pre-existing GPER-1 occupancy by E2, such as in the endoplasmic reticulum, can free up cytosolic or nuclear receptor targets for EDC binding and vice-versa. Thus, the physiological state of the organism at the time of exposure is critical for transduction of xenoestrogen effects and may help explain how EDCs function as triggers for disease in some individuals, but not in others. As well, synergistic effects of multiple pathways should similarly be considered. Phenols can further act as inverse antagonists on other receptor targets. BPA, in particular, has been shown to increase ERR&#x3b3; constitutive activity, and could thereby lead to a deregulated cell metabolism with implications for both cancer and autoreactivity (<xref ref-type="bibr" rid="B76">Liu et&#x20;al., 2007</xref>). Subsequent to their direct binding activity, phenols can augment the rate of receptor turnover. BPA decreases ubiquitination and degradation of ER&#x3b2;, as well as intracellular ER&#x3b1; protein levels and mRNA transcripts (<xref ref-type="bibr" rid="B86">Masuyama and Hiramatsu, 2004</xref>; <xref ref-type="bibr" rid="B69">La Rosa et&#x20;al., 2014</xref>). Similarly, BPF increases ER&#x3b2;, however, other EDCs, such as NP, have yielded more complex, potentially sex and species specific effects upon receptor turnover (<xref ref-type="bibr" rid="B110">Sakimura et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B113">Seo et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B93">Okazaki et&#x20;al., 2017</xref>). Collective observations have thereby surmised that many phenols display characteristics of selective ER modulators (SERMs), most notably in their ability to behave in a discriminatory manner (<xref ref-type="bibr" rid="B28">Delfosse et&#x20;al., 2012</xref>). This functional classification is an important consideration for study design and should be deliberated when inferring results to human health.</p>
<p>The turnover rate of ERs and endogenous ligand are precisely balanced to control the downstream signaling necessary for proper function of immune cells. Docking of estrogen to ERs does not produce simple, all-or-nothing target activation. Instead, this binding event appears to induce a state that depends on the equilibrium between receptor and ligand. EDC-induced changes to such a system may impact either the perceived ligand concentration or the receptor availability, leading to complex and sometimes dichotomous results on immune function. Interpretation of immunological findings is further complicated by contrasting pre-clinical and clinical results, likely both influenced by study design and experiment&#x20;dose.</p>
</sec>
<sec id="s1-3-2">
<title>Innate Immunity Effects</title>
<p>Dichotomy of immune findings is best illustrated by pre-clinical, innate immune findings. For example, phenols decrease downstream signaling and key regulators of inflammation, such as TNF-&#x3b1;, nitric oxide (NO), and NF-&#x3ba;B in both murine macrophages (BPA 228&#x2013;22,800&#xa0;&#x3bc;g/L) and immortalized macrophages (BPA 5,700&#x2013;22,800&#xa0;&#x3bc;g/L; NP 2,200&#xa0;&#x3bc;g/L; OP 2,000&#xa0;&#x3bc;g/L) (<xref ref-type="bibr" rid="B14">Byun et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B134">Yoshitake et&#x20;al., 2008</xref>). Alternatively, BPA at similar doses can, instead, increase levels of NO, reactive oxygen species (ROS), NF-&#x3ba;B activation and mRNA transcripts of IL-1&#x3b2; and IL-10 pro-inflammatory cytokines. Interestingly, macrophage bactericidal function was improved following low-dose BPA exposure (0.10&#x2013;10&#xa0;&#x3bc;g/L), whereas administration of high dose BPA (100&#x2013;10,000&#xa0;&#x3bc;g/L) induced apoptosis, presumably in an oxidative stress-dependent manner (<xref ref-type="bibr" rid="B130">Yang et&#x20;al., 2015</xref>). Dose-independent effects on cytokine secretion have been further observed for both BPA (0.10&#x2013;1,000&#xa0;&#x3bc;g/L) and NP (0.10&#x2013;100&#xa0;&#x3bc;g/L), such as increased transcripts for IL-1&#x3b2;, IL-10, TNF-&#x03B1;, IFN-&#x3b3;, and MyD88. Consistently, NO metabolism was affected only by the high dose of BPA or NP (<xref ref-type="bibr" rid="B127">Xu et&#x20;al., 2013</xref>). This dichotomy of results is not only biphasic but may reflect a species specificity for estrogen regulation that results in varying outcomes on inflammatory factors (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Diversity of immune effects by phenol EDCs.</p>
</caption>
<table>
<thead>
<tr>
<td align="left"/>
<td align="center">Dose (&#x3bc;g/L)</td>
<td align="center">Species</td>
<td align="center">Cell type</td>
<td colspan="2" align="center">Immune impact</td>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">
<italic>In vitro</italic>
</td>
</tr>
<tr>
<td align="left">&#x2003;BPA</td>
<td align="left">100&#x2013;10,000 (<xref ref-type="bibr" rid="B130">Yang et&#x20;al., 2015</xref>)</td>
<td align="center">Carp</td>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2191;</td>
<td align="left">NO, ROS, NF-&#x3ba;B, IL-1&#x3b2; mRNA and apoptosis</td>
</tr>
<tr>
<td/>
<td align="left">0.10&#x2013;10 (<xref ref-type="bibr" rid="B130">Yang et&#x20;al., 2015</xref>)</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2193;</td>
<td align="left">Bactericidal function</td>
</tr>
<tr>
<td/>
<td align="left">228&#x2013;22,800 (<xref ref-type="bibr" rid="B14">Byun et&#x20;al., 2005</xref>) 5,700&#x2013;22,800 (<xref ref-type="bibr" rid="B134">Yoshitake et&#x20;al., 2008</xref>)</td>
<td align="center">
</td>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;, NO and NF-&#x3ba;B</td>
</tr>
<tr>
<td/>
<td align="left">228&#x2013;22,800 (<xref ref-type="bibr" rid="B109">Sakazaki et&#x20;al., 2002</xref>)</td>
<td align="center">
</td>
<td align="left">N/A</td>
<td align="left">&#x2193;</td>
<td align="left">Lymphoproliferation (B&#x20;cells &#x3e; T&#x20;cells)</td>
</tr>
<tr>
<td/>
<td align="left">228&#x2013;22,800<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td align="center">
</td>
<td align="left">Splenocytes</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td/>
<td align="left">228 (<xref ref-type="bibr" rid="B136">Yurino et&#x20;al., 2004</xref>)</td>
<td rowspan="3" align="center">Mouse</td>
<td align="left">B1 B&#x20;cells</td>
<td align="left">&#x2191;</td>
<td align="left">IgM</td>
</tr>
<tr>
<td/>
<td align="left">1,000 (<xref ref-type="bibr" rid="B11">Bodin et&#x20;al., 2015</xref>)</td>
<td align="left">Splenocytes</td>
<td align="left">&#x2193;</td>
<td align="left">IL-10, TNF-&#x3b1;, IFN-&#x3b3; and IL-4</td>
</tr>
<tr>
<td/>
<td align="left">
</td>
<td align="center">
</td>
<td align="left">&#x2191;</td>
<td align="left">GM-CSF</td>
</tr>
<tr>
<td/>
<td align="left">
</td>
<td align="left">
</td>
<td align="center">
</td>
<td align="left">&#x2191;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td/>
<td/>
<td rowspan="3" align="left">
</td>
<td align="center">
</td>
<td align="left">&#x2191;</td>
<td align="left">MIP-1&#x3b1;</td>
</tr>
<tr>
<td/>
<td/>
<td align="center">
</td>
<td align="left">&#x2191;</td>
<td align="left">MIP-1&#x3b2;</td>
</tr>
<tr>
<td/>
<td>30, 300&#xa0;&#x3bc;g/kg (<xref ref-type="bibr" rid="B128">Xu et&#x20;al., 2019</xref>)</td>
<td>Serum (F)</td>
<td align="left">&#x2191;</td>
<td align="left">Development of T1D</td>
</tr>
<tr>
<td/>
<td align="left">
<underline>2,850&#x2013;45,700</underline> (<xref ref-type="bibr" rid="B40">Gostner et&#x20;al., 2015</xref>)</td>
<td rowspan="11" align="center">Human</td>
<td align="left">PBMCs (M&#x3a6; &#x7c;T&#x20;cells)</td>
<td align="left">&#x2193;</td>
<td align="left">Neopterin and IFN-&#x3b3;</td>
</tr>
<tr>
<td/>
<td rowspan="3" align="left">0.02&#x2013;22.8 (<xref ref-type="bibr" rid="B9">Ben-Jonathan et&#x20;al., 2009</xref>) 0.228 (<xref ref-type="bibr" rid="B120">Valentino et&#x20;al., 2013</xref>)<sup>,72</sup>
</td>
<td rowspan="3" align="left">Adipocytes</td>
<td align="left">&#x2191;</td>
<td align="left">IL-6, TNF-&#x3b1; and IFN-&#x3b3;</td>
</tr>
<tr>
<td/>
<td align="left">&#x2193;</td>
<td align="left">Adiponectin and glucose metabolism</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">JNK, STAT3 and NF-kB</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">228&#x2013;22,800 (<xref ref-type="bibr" rid="B8">Balistrieri et&#x20;al., 2018</xref>)</td>
<td rowspan="2" align="left">PMNs</td>
<td align="left">&#x2191;</td>
<td align="left">ROS</td>
</tr>
<tr>
<td/>
<td align="left">&#x2193;</td>
<td align="left">Chemotaxis and bactericidal function</td>
</tr>
<tr>
<td/>
<td rowspan="4" align="left">22,800<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td rowspan="4" align="left">WiL2-NS (B&#x20;cells)</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">Sub G0/G1phase</td>
</tr>
<tr>
<td/>
<td align="left">&#x2193;</td>
<td align="left">G2/M phase and S phase</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">ROS</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">228,000 (<xref ref-type="bibr" rid="B2">Alhomaidan et&#x20;al., 2019</xref>)</td>
<td align="left">Whole blood (DNA-HC)</td>
<td align="left">&#x2191;</td>
<td align="left">Hypochromicity/Stability</td>
</tr>
<tr>
<td/>
<td>
</td>
<td align="left">Serum (SLE)</td>
<td align="left">&#x2191;</td>
<td align="left">Ab affinity/Recognition for BPA-DNA</td>
</tr>
<tr>
<td align="left">&#x2003;BPF</td>
<td align="left">20,000<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td align="center">Mouse</td>
<td align="left">Splenocytes</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td/>
<td rowspan="3" align="left">20,000<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td rowspan="3" align="center">Human</td>
<td rowspan="3" align="left">WiL2-NS (B&#x20;cells)</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">Sub G0/G1 phase, G2/M phase</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">ROS</td>
</tr>
<tr>
<td rowspan="4" align="left">&#x2003;BPS</td>
<td align="left">
<underline>7,500&#x2013;25,000</underline>
<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td align="center">Mouse</td>
<td align="left">Splenocytes</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td rowspan="3" align="left">25,000<sup>a</sup> (<xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>)</td>
<td rowspan="3" align="center">Human</td>
<td rowspan="3" align="left">WiL2-NS (B&#x20;cells)</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">Sub G0/G1, G2/M phase and S phase</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">ROS</td>
</tr>
<tr>
<td align="left">
</td>
<td align="left">2,200 (<xref ref-type="bibr" rid="B134">Yoshitake et&#x20;al., 2008</xref>)</td>
<td rowspan="3" align="center">Mouse</td>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;, NO and NF-&#x3ba;B</td>
</tr>
<tr>
<td>&#xa0;&#xa0;NP</td>
<td align="left">220&#x2013;22,000 (<xref ref-type="bibr" rid="B109">Sakazaki et&#x20;al., 2002</xref>)</td>
<td align="left">N/A</td>
<td align="left">&#x2193;</td>
<td align="left">Lymphoproliferation</td>
</tr>
<tr>
<td>
</td>
<td align="left">220 (<xref ref-type="bibr" rid="B136">Yurino et&#x20;al., 2004</xref>)</td>
<td align="left">B1 B&#x20;cells</td>
<td align="left">&#x2191;</td>
<td align="left">IgM</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;OP</td>
<td align="left">2,000 (<xref ref-type="bibr" rid="B134">Yoshitake et&#x20;al., 2008</xref>)</td>
<td align="center">Mouse</td>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;, NO and NF-&#x3ba;B</td>
</tr>
<tr>
<td colspan="6" align="left">
<italic>In vivo</italic>
</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;BPA</td>
<td align="left">100&#x2013;1,000 (<xref ref-type="bibr" rid="B127">Xu et&#x20;al., 2013</xref>)</td>
<td rowspan="2" align="left">Zebrafish</td>
<td rowspan="2" align="left">Embryo</td>
<td align="left">&#x2191;</td>
<td align="left">NO, NOS and ROS</td>
</tr>
<tr>
<td/>
<td align="left">0.10&#x2013;1,000<sup>a</sup> (<xref ref-type="bibr" rid="B127">Xu et&#x20;al., 2013</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">mRNA: IL-1&#x3b2;, IL-10, IFN-&#x3b3;, MyD88 and TNF-&#x3b1;<sup>a</sup>
</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">300&#x2013;3,000&#xa0;&#x3bc;g/kg (<italic>in-utero</italic>) (<xref ref-type="bibr" rid="B133">Yoshino et&#x20;al., 2004</xref>)</td>
<td rowspan="3" align="left">Mouse</td>
<td rowspan="2" align="left">Serum</td>
<td align="left">&#x2191;</td>
<td align="left">IL-4, IFN-&#x3b3; and HEL-IgGs</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">Lymphoproliferation (CD8 &#x3e; CD4)</td>
</tr>
<tr>
<td/>
<td align="left">
<underline>2.28&#x2013;228</underline> (<xref ref-type="bibr" rid="B77">Luo et&#x20;al., 2016</xref>)</td>
<td align="left">Splenic cells/Serum</td>
<td align="left">&#x2191;</td>
<td align="left">TH17 differentiation, IL-17, IL-21, IL-6 and IL-23 (F)</td>
</tr>
<tr>
<td/>
<td align="left">300&#x2013;350&#xa0;mg/kg (<xref ref-type="bibr" rid="B136">Yurino et&#x20;al., 2004</xref>)</td>
<td align="left">Mouse (SLE)</td>
<td align="left">B1 cells</td>
<td align="left">&#x2191;</td>
<td align="left">Anti-Br-RBC autoantibodies</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">10,000 (<xref ref-type="bibr" rid="B64">Krementsov et&#x20;al., 2013</xref>)</td>
<td rowspan="2" align="left">Mouse (EAE)</td>
<td rowspan="2" align="left">N/A</td>
<td align="left">&#x2191;</td>
<td align="left">First episode severity (F)</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">Relapse incidence (M)</td>
</tr>
<tr>
<td/>
<td align="left">10&#xa0;mg/kg (<xref ref-type="bibr" rid="B13">Brinkmeyer-Langford et&#x20;al., 2014</xref>)</td>
<td align="left">Mouse (TVID)</td>
<td align="left">N/A</td>
<td align="left">&#x2191;</td>
<td align="left">Temporal onset of MS, disease severity</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">50&#xa0;&#x3bc;g/kg (<xref ref-type="bibr" rid="B100">Pirozzi et&#x20;al., 2020</xref>)</td>
<td rowspan="10" align="left">Mouse</td>
<td rowspan="2" align="left">Serum/Liver</td>
<td align="left">&#x2191;</td>
<td align="left">mRNA: IL-6, TNF-&#x3b1;, IFN-&#x3b3;, MyD88 and NF-&#x3ba;B</td>
</tr>
<tr>
<td/>
<td align="left">&#x2191;</td>
<td align="left">Progression of liver fibrosis</td>
</tr>
<tr>
<td/>
<td rowspan="4" align="left">1,000 (<xref ref-type="bibr" rid="B11">Bodin et&#x20;al., 2015</xref>)</td>
<td align="left">N/A</td>
<td align="left">&#x2191;</td>
<td align="left">Diabetic incidence</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">Pancreatic islet cells</td>
<td align="left">&#x2191;</td>
<td align="left">Severity of insulitis</td>
</tr>
<tr>
<td/>
<td align="left">&#x2b;</td>
<td align="left">Regulator of apoptosis</td>
</tr>
<tr>
<td/>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">Infiltrates and phagocytic function</td>
</tr>
<tr>
<td/>
<td rowspan="4" align="left">1,000&#x2013;10,000 (<xref ref-type="bibr" rid="B10">Bodin et&#x20;al., 2014</xref>)</td>
<td align="left">N/A</td>
<td align="left">&#x2191;</td>
<td align="left">Diabetic incidence<sup>a</sup> (F)</td>
</tr>
<tr>
<td/>
<td align="left">Pancreatic islet cells</td>
<td align="left">&#x2191;</td>
<td align="left">Severity of insulitis<sup>a</sup>(F)</td>
</tr>
<tr>
<td/>
<td rowspan="2" align="left">M&#x3a6;</td>
<td align="left">&#x2191;</td>
<td align="left">Apoptosis</td>
</tr>
<tr>
<td/>
<td align="left">&#x2193;</td>
<td align="left">Infiltrates</td>
</tr>
<tr>
<td rowspan="2" align="left">&#xa0;&#xa0;NP</td>
<td align="left">10&#x2013;100 (<xref ref-type="bibr" rid="B127">Xu et&#x20;al., 2013</xref>)</td>
<td rowspan="2" align="left">Zebrafish</td>
<td rowspan="2" align="left">Embryo</td>
<td align="left">&#x2191;</td>
<td align="left">NO, NOS and ROS</td>
</tr>
<tr>
<td align="left">0.10&#x2013;100<sup>a</sup> (<xref ref-type="bibr" rid="B127">Xu et&#x20;al., 2013</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">mRNA: IL-1&#x3b2;, IL-10, IFN-&#x3b3;, MyD88 and TNF-&#x3b1;<sup>a</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Dose-dependent results are underlined. <sup>a</sup>Immune effect at high dose(s) only; (F), female bias; (M), male bias; BPA, bisphenol A; BPF, bisphenol F; BPS, bisphenol S; NP, nonylphenol; OP, 4-tertiary-octylphenol; TLR-4, toll-like-receptor-4; NO, nitric oxide; ROS, reactive oxygen species.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Paradoxical results from clinical studies have likewise been reported. Human macrophages and T lymphocytes responding to BPA (2,850&#x2013;45,700&#xa0;&#x3bc;g/L) showed a dose-dependent decrease in neopterin and IFN-&#x3b3;, respectively (<xref ref-type="bibr" rid="B40">Gostner et&#x20;al., 2015</xref>). In contrast, production of IL-6, TNF-&#x3b1; and IFN-&#x3b3; from human adipocytes was increased after exposure to BPA (0.02&#x2013;22.8&#xa0;&#x3bc;g/L <xref ref-type="bibr" rid="B9">Ben-Jonathan et&#x20;al., 2009</xref>; 0.228&#xa0;&#x3bc;g/L <xref ref-type="bibr" rid="B120">Valentino et&#x20;al., 2013</xref>). This corresponded with a lowered production of the anti-inflammatory hormone, adiponectin, and an impaired glucose metabolism (<xref ref-type="bibr" rid="B9">Ben-Jonathan et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B120">Valentino et&#x20;al., 2013</xref>). In the context of clinical obesity and chronic inflammation, low-dose EDC exposure effects suggest that EDCs may exacerbate or even cause autoimmunity, including post-infection autoreactivity of metabolic etiology. Such potential has been identified for BPA, which increased activation of JNK, STAT3 and NF-kB signaling pathways. Conversely, adipogenesis was unaffected despite previous pre-clinical reported effects (BPA 0.228&#xa0;&#x3bc;g/L; <xref ref-type="bibr" rid="B120">Valentino, D&#x27;Esposito et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B5">Ariemma, D&#x27;Esposito et&#x20;al., 2016</xref>).</p>
<p>In other clinical findings, phenol effects were transduced by GPER-1 activation to induce human polymorphonuclear neutrophils (PMNs) toward a pro-inflammatory phenotype (<xref ref-type="bibr" rid="B107">Rodenas, Tamassia et&#x20;al., 2017</xref>). Despite limited research into EDC effects upon PMNs, administration of BPA (228&#x2013;22,800&#xa0;&#x3bc;g/L) did increase ROS production in these cells, in a dose-dependent manner. ROS activity was also associated with diminished bactericidal function and inhibition of PMN chemotaxis, whereas phagocytic function remained unaffected (<xref ref-type="bibr" rid="B8">Balistrieri, Hobohm et&#x20;al., 2018</xref>).</p>
</sec>
<sec id="s1-3-3">
<title>Adaptive Immunity Effects</title>
<p>Phenols have additionally been characterized for their effects on adaptive immunity. Gestational BPA treatment (300&#x2013;3,000&#xa0;&#x3bc;g/kg) alters the humoral response to immunization, leading to higher levels of antigen specific immunoglobulin (Ig) Gs and increased lymphoproliferation (<xref ref-type="bibr" rid="B133">Yoshino et&#x20;al., 2004</xref>). Increased IFN-&#x3b3; and IL-4 were also noted as a result of BPA effects on T&#x20;cell helper phenotypes, particularly TH1 differentiation. Furthermore, despite an overall increase in T&#x20;cells, the ratio of CD8/CD4 T&#x20;cells was skewed in favor of CD8 T&#x20;cells. Collectively, these results suggest that phenols may prime the humoral response toward sustained inflammation (<xref ref-type="bibr" rid="B133">Yoshino et&#x20;al., 2004</xref>). In the context of pathogen response or autoimmunity, sustained humoral activation as induced by BPA can degenerate into chronic inflammation and the onset or exacerbation of autoreactivity. This is further substantiated by evidence of BPA-induced (2.28&#x2013;228&#xa0;&#x3bc;g/L) increased differentiation of TH17 cells, including increased secretion of IL-17 and IL-21, as well as TH17 differentiating cytokines, IL-6 and IL-23. Such changes were altogether dose-dependent and sex-specific (female bias), further suggesting that BPA alters dynamics of adaptive immunity and leads toward a proinflammatory phenotype that may cause adverse health outcomes (<xref ref-type="bibr" rid="B77">Luo, Li et&#x20;al., 2016</xref>).</p>
<p>In contrast, <italic>in&#x20;vitro</italic> treatment with BPA (2,280&#x2013;22,800&#xa0;&#x3bc;g/L) or NP (220&#x2013;22,000&#xa0;&#x3bc;g/L) decreased lymphoproliferation, with BPA demonstrating preferential inhibition of B&#x20;cells over T&#x20;cells (<xref ref-type="bibr" rid="B109">Sakazaki et&#x20;al., 2002</xref>). Comparable with BPA (22,800&#xa0;&#x3bc;g/L), analog compounds, BPF (20,000&#xa0;&#x3bc;g/L) and BPS (7,500 and 25,000&#xa0;&#x3bc;g/L), decreased splenocyte proliferation and augmented human B&#x20;cell cycle transitions. The reduced viability of human B&#x20;cells, likely as a result of enhanced ROS production by all three bisphenols, was comparable with effects previously described for innate cells (<xref ref-type="bibr" rid="B130">Yang et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B56">Jang et&#x20;al., 2020</xref>). This ability of EDCs to downregulate B&#x20;cell responses may be critical in the context of viral or other chronic infections, which have been linked to the onset of several autoimmune phenotypes (<xref ref-type="boxed-text" rid="Box1">Box 1</xref>). By affecting TH differentiation, altering the distribution of CD8 to CD4 T&#x20;cells, and diminishing B&#x20;cell responses, EDCs may directly contribute toward an ineffective adaptive response, one which may allow pathogen escape and influence the development of chronic inflammation and self-reactivity.</p>
<boxed-text id="Box1">
<label>Box 1</label>
<title>Relevance of EDC-immune modulation to COVID-19 disease and post-infection autoimmunity.</title>
<p>Modulation of adaptive immune responses by EDCs presents critical considerations for the current COVID-19 pandemic, caused by the SARS-CoV-2 virus. Recent studies have linked the incidence and severity of SARS-CoV-2 infection with development of post-infection autoimmunity, including diabetes, Guillain-Barre syndrome and autoimmune hemolytic anemia (<xref ref-type="bibr" rid="B26">Dalakas, 2020</xref>; <xref ref-type="bibr" rid="B70">Lazarian et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B81">Mallapaty, 2020</xref>). Herein, we describe findings that identify immune modulatory activity as similarly reported for COVID-19 disease but following EDC exposure. In both contexts, there exists an increased predisposition for autoreactivity. Therefore, we underscore the likelihood of synergism between EDC-induced immune dysfunction and SARS-CoV-2 infection. The sex-bias of immune self-reactivity, conveyed by estrogen mimicry with EDCs, may also explain the increased severity of COVID-19 in males as well as the age-dependency of infection frequency (F: 10&#x2013;50&#xa0;years, estrogen<sup>high</sup>; M: 10&#x3c; and &#x3e;50&#xa0;years, testosterone<sup>low</sup>) (<xref ref-type="bibr" rid="B112">Scully et&#x20;al., 2020</xref>). To illustrate, adaptive immunity in females may be better equipped to initiate antiviral defenses in the initial stages of infection, in part likely due to the same processes responsible for the female autoimmune bias. Several of the studies we outlined demonstrate the capacity of EDCs to increase the expression of cytokines including IL-6, IL-1&#x3b2;, TNF-&#x3b1;, and IFN-&#x3b2;. Therefore, it is plausible that under noninfectious circumstances, elevated levels of these cytokines may result in an increased baseline state of immune activation. During a pathogen defense response, this heightened state may convey an advantage. However, without a specific target, it could trigger autoreactivity. In contrast, male sex-hormones (testosterone<sup>high</sup>/estrogen<sup>low</sup>), which are otherwise preventive against EDC exposure effects and autoimmunity, could dampen the initial response to SARS-CoV-2 infection. This would result in increased viral burden, which may thereby trigger hyperinflammatory syndrome and severe COVID-19 disease in males. Interestingly, early data has suggested an association between male-sex and viral burden duration (<xref ref-type="bibr" rid="B112">Scully et&#x20;al., 2020</xref>). Furthermore, the risk to develop severe disease and mortality rate were both found to be male-biased (<xref ref-type="bibr" rid="B80">Maleki Dana et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B112">Scully et&#x20;al., 2020</xref>)</p>
</boxed-text>
</sec>
<sec id="s1-3-4">
<title>Autoimmunity</title>
<p>Exposure to phenols is a potential risk factor for autoimmunity, however studies are similarly limited by complex, often biphasic results. In animal models of autoimmune disease, such as systemic lupus erythematosus (SLE), long-term BPA exposure (300&#x2013;350&#xa0;mg/kg) enhanced production of anti-Br-RBC autoantibodies. Elevated levels of IgM secretion from B1 cells have also been reported following exposure to both BPA (228&#xa0;&#x3bc;g/L) and NP (220&#xa0;&#x3bc;g/L) (<xref ref-type="bibr" rid="B136">Yurino et&#x20;al., 2004</xref>). Gestational BPA (10,000&#xa0;&#x3bc;g/L) followed by induction of autoimmune encephalomyelitis (mild EAE; MOG<sub>35&#x2013;55</sub>/CFA-only) did not affect the clinical course of disease. Conversely, trends in severity of EAE were observed, such as an increased disease score during the first EAE episode in female mice and a higher relapse incidence in male mice (<xref ref-type="bibr" rid="B64">Krementsov et&#x20;al., 2013</xref>). Similarly, an earlier onset of MS symptoms and worsened disease severity were shown in a virus-induced demyelination model of MS (BPA 10&#xa0;&#x3bc;g/kg) (<xref ref-type="bibr" rid="B13">Brinkmeyer-Langford et&#x20;al., 2014</xref>). Interestingly, colitis was more severe in MS mice exposed to BPA, which corroborates clinical data on the co-occurrence of MS and inflammatory bowel diseases (IBDs) in humans (<xref ref-type="bibr" rid="B62">Kimura et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B3">Alkhawajah et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B13">Brinkmeyer-Langford et&#x20;al., 2014</xref>).</p>
<p>Consideration of phenols in the context of other autoimmune conditions provides additional evidence for their harmful effects. For example, EDC levels (BPA 1,000&#xa0;&#x3bc;g/L) relevant to human exposure increased diabetic incidence and corresponded with higher grade insulitis in pancreatic islets, concurrent with decreased macrophage infiltrates of lowered phagocytic potential (<xref ref-type="bibr" rid="B11">Bodin et&#x20;al., 2015</xref>). Similar findings on type-1 diabetes identify BPA as pro-apoptotic for pancreatic islet cells, which suggests a mechanism by which BPA promotes self-antigen auto-activation and diabetic onset (<xref ref-type="bibr" rid="B10">Bodin et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B11">Bodin et&#x20;al., 2015</xref>). Furthermore, high-fat diet and BPA exposure (50&#xa0;ug/kg) were associated with immune-metabolic dysfunction, characterized by increased transcripts for toll-like-receptor-4 and related signaling pathways, such as NF-kB and NLRP3 inflammasome, which amplified proinflammatory cytokine production to promote liver damage (<xref ref-type="bibr" rid="B100">Pirozzi et&#x20;al., 2020</xref>). More specifically, in diabetic animals, decreased levels of secreted IL-10, TNF-&#x3b1;, IFN-&#x3b3; and IL-4 have also been reported. Animal findings thus suggest that BPA and other phenols can alter the severity of autoimmune disease, likely through a m&#xe9;lange of effects, including increased production of autoantibodies, altered cytokine secretion and decreased macrophage scavenging. Altogether, these changes contribute to the persistence of self-antigen and may exacerbate autoimmunity (<xref ref-type="bibr" rid="B11">Bodin et&#x20;al., 2015</xref>). There is also evidence that phenol exposure could contribute to sex-bias in autoimmune disease outcomes. In non-obese diabetic mice, BPA affected both development and pathology of T1D in a sex-specific manner. In females, development of T1D was accelerated and accompanied by a shift in proinflammatory immune factors, whereas disease development in males was delayed, associating with an increase in anti-inflammatory factors (<xref ref-type="bibr" rid="B128">Xu et&#x20;al., 2019</xref>). These results highlight the potential of phenol EDCs to induce sex-specific changes in the development and course of autoimmune diseases.</p>
<p>In humans, the role of phenol EDCs in autoimmunity is less defined. Nevertheless, clinical studies have provided compelling evidence on the detriment of EDCs to human autoimmunity (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). When isolated DNA from healthy individuals was exposed to BPA (228,000&#xa0;&#x3bc;g/L), formation of DNA-BPA complexes and BPA-induced conformational changes (48.2% hypochromicity, 260&#xa0;nm) were observed. Relative to native DNA, DNA-BPA complexes had increased stability, which suggests a novel process for how environmental factors may influence the development of self-reactive autoantibodies. In conformity, serum IgG antibodies from SLE patients showed affinity and recognition for such DNA-BPA complexes, but were otherwise undetected by IgG antibodies purified from healthy individuals, presumably because the latter have no affinity for self-antigens, such as anti-double stranded DNA (dsDNA) recognition. Interestingly, the SLE IgG antibodies showed preferential recognition of BPA-altered DNA over native DNA, which could help explain how an otherwise weak immunogen (dsDNA) is enhanced to autoimmunity (<xref ref-type="bibr" rid="B105">Rekvig and Mortensen, 2012</xref>; <xref ref-type="bibr" rid="B2">Alhomaidan et&#x20;al., 2019</xref>). An impact of phenols has also been reported in autoimmune thyroid disease, where serum BPA showed a positive trend with antibody levels for thyroglobulin (TgAb), thyroid peroxidase (TPOAb) and thyroid receptor (TRAb). BPA was also an independent predictor of TgAb and TPOAb, but not TRAb (<xref ref-type="bibr" rid="B18">Chailurkit et&#x20;al., 2016</xref>). Whether modulation of immune populations by phenols has the capacity to influence the onset or progression of autoimmune disease remains controversial, however, animal findings implicate immune effects that are dependent on several factors including study design (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>EDC population effects.</p>
</caption>
<table>
<thead>
<tr>
<td align="left">EDC compound</td>
<td align="center">Population/sample</td>
<td colspan="2" align="center">Biomarker and/or disease association</td>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">
<italic>Phenols</italic>
</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;BPA</td>
<td rowspan="3" align="left">Thyroid autoimmunity/serum (<xref ref-type="bibr" rid="B18">Chailurkit et&#x20;al., 2016</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">TgAb</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">TPOAb</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">TRAb</td>
</tr>
<tr>
<td colspan="4" align="left">
<italic>Parabens</italic>
</td>
</tr>
<tr>
<td rowspan="6" align="left">&#xa0;&#xa0;MP</td>
<td align="left">Case report (<xref ref-type="bibr" rid="B48">Henry et&#x20;al., 1979</xref>; <xref ref-type="bibr" rid="B78">Macy et&#x20;al., 2002</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Hypersensitivity and contact urticaria</td>
</tr>
<tr>
<td rowspan="4" align="left">Urine [pregnant (F)] (<xref ref-type="bibr" rid="B124">Watkins et&#x20;al., 2015</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">C-reactive protein</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-6</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-10</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-1&#x3b2;</td>
</tr>
<tr>
<td align="left">Urine (M) (<xref ref-type="bibr" rid="B103">Quiros-Alcala et&#x20;al., 2019</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Asthma morbidity</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;EP</td>
<td align="left">Urine (<xref ref-type="bibr" rid="B75">Liu et&#x20;al., 2019</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Gestational diabetes mellitus</td>
</tr>
<tr>
<td rowspan="3" align="left">&#xa0;&#xa0;PP</td>
<td align="left">Urine [Pregnant (F)] (<xref ref-type="bibr" rid="B124">Watkins et&#x20;al., 2015</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Oxidative stress</td>
</tr>
<tr>
<td align="left">Urine<sup>a</sup> (<xref ref-type="bibr" rid="B123">Ward et&#x20;al., 2020</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">Diabetic incidence</td>
</tr>
<tr>
<td align="left">Urine (M) (<xref ref-type="bibr" rid="B103">Quiros-Alcala et&#x20;al., 2019</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Asthma morbidity</td>
</tr>
<tr>
<td rowspan="6" align="left">&#xa0;&#xa0;BP</td>
<td rowspan="5" align="left">Urine/Serum [pregnant (F)] (<xref ref-type="bibr" rid="B124">Watkins et&#x20;al., 2015</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Oxidative stress</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-1&#x3b2;</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-6</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-10</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">TNF-&#x3b1;</td>
</tr>
<tr>
<td align="left">Urine<sup>a</sup> (<xref ref-type="bibr" rid="B123">Ward, Casagrande et&#x20;al., 2020</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">Diabetic incidence</td>
</tr>
<tr>
<td colspan="4" align="left">
<italic>Phthalates</italic>
</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;MEP</td>
<td align="left">Human cord blood (<xref ref-type="bibr" rid="B49">Herberth et&#x20;al., 2017</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">T Regulatory cells</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;MiBP</td>
<td align="left">Human cord blood (<xref ref-type="bibr" rid="B49">Herberth et&#x20;al., 2017</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">T Regulatory cells</td>
</tr>
<tr>
<td rowspan="2" align="left">&#xa0;&#xa0;DEHP</td>
<td rowspan="2" align="left">Urine (<xref ref-type="bibr" rid="B131">Yang et&#x20;al., 2019</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">Anti-HBs IgM responses following post-natal HBV immunization</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">Modulation of gut microbiota composition</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;DiBP</td>
<td align="left">Urine (children) (<xref ref-type="bibr" rid="B16">Castro-Correia et&#x20;al., 2018</xref>)</td>
<td align="left">&#x2191;</td>
<td align="left">New onset type 1 diabetes mellitus</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>Immune effect at high detected concentrations; (M), male bias; BPA, bisphenol A; MP, methyl paraben; EP, ethyl paraben; PP, propyl paraben; BP, butyl paraben; MEP, monoethyl paraben; MiBP, monoisobutyl phthalate; DEHP, di (2-ethylhexyl) phthalate; DiBP, diisobutyl phthalate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s1-4">
<title>Parabens</title>
<p>The paraben category of EDCs has also been described for its effects on immunity (<xref ref-type="table" rid="T2">Tables 2</xref> and <xref ref-type="table" rid="T3">3</xref>). The size of alkyl groups is a defining characteristic for paraben compounds and has been proposed to correlate directly with the degree of ER&#x3b1; and ER&#x3b2; estrogenic activity (<xref ref-type="bibr" rid="B38">Gomez et&#x20;al., 2005</xref>). However, the size of paraben alkyl groups is correlated with their penetration potential across the cell membrane. This suggests that although higher molecular weight parabens may have increased estrogen-like activity, exposure to such compounds from goods and other commodities is largely limited to their less estrogenic counterparts. In routes of direct exposure, such as intravenous administration, bioaccumulation is also minimal, with paraben levels quickly declining from the serum or maintained at nontoxic levels (<xref ref-type="bibr" rid="B4">Andersen, 2008</xref>). Nevertheless, paraben-induced chromosomal aberrations, including gaps, breaks, exchanges and rings have been described, suggesting that lower molecular weight compounds that cross the membrane may directly impact expression of immune genes, despite having lower estrogenic activity (<xref ref-type="bibr" rid="B87">Matsuoka et&#x20;al., 1979</xref>). Alternatively, contributions of the endocrine system in normal immune function are vital, such that even milder disruptions by parabens may be detrimental to human health.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Diversity of immune effects by paraben EDCs.</p>
</caption>
<table>
<thead>
<tr>
<td align="left"/>
<td align="center">Dose (&#x3bc;g/L)</td>
<td align="center">Species</td>
<td align="center">Cell type</td>
<td colspan="2" align="center">Immune impact</td>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">
<italic>In vitro</italic>
</td>
</tr>
<tr>
<td rowspan="3" align="left">&#x2003;BP</td>
<td rowspan="2" align="left">2 (&#xd7;10<sup>8</sup>) (<xref ref-type="bibr" rid="B88">Matsuoka et&#x20;al., 2018</xref>) (Indirect/sensitization)</td>
<td rowspan="2" align="left">Mouse</td>
<td align="left">Brachial LN cells</td>
<td align="left">&#x2191;</td>
<td align="left">IL-4 and IFN-&#x3b3;</td>
</tr>
<tr>
<td align="left">Dendritic cells</td>
<td align="left">&#x2191;</td>
<td align="left">Skin to dLN trafficking</td>
</tr>
<tr>
<td align="left">1.17 (&#xd7;10<sup>&#x2013;2</sup>) (<xref ref-type="bibr" rid="B7">Bairati et&#x20;al., 1994</xref>)</td>
<td align="left">Human</td>
<td align="left">Lymphocytes</td>
<td align="left">&#x2193;</td>
<td align="left">Lysozyme release</td>
</tr>
<tr>
<td align="left">&#x2003;HP-DP</td>
<td align="left">2,360&#x2013;2,780 (<xref ref-type="bibr" rid="B119">Uramaru et&#x20;al., 2014</xref>)</td>
<td align="left">Rat</td>
<td align="left">Peritoneal mast cells</td>
<td align="left">&#x2191;</td>
<td align="left">Histamine release</td>
</tr>
<tr>
<td align="left">&#x2003;PP-DDP</td>
<td align="left">20,800&#x2013;30,600<sup>a</sup> (<xref ref-type="bibr" rid="B119">Uramaru et&#x20;al., 2014</xref>)</td>
<td align="left">Rat</td>
<td align="left">Peritoneal mast cells</td>
<td align="left">&#x2191;</td>
<td align="left">Histamine release</td>
</tr>
<tr>
<td align="left">&#x2003;IPP</td>
<td align="left">20,800 (<xref ref-type="bibr" rid="B119">Uramaru et&#x20;al., 2014</xref>)</td>
<td align="left">Rat</td>
<td align="left">Peritoneal mast cells</td>
<td align="left">&#x2191;</td>
<td align="left">Histamine release</td>
</tr>
<tr>
<td colspan="6" align="left">
<italic>In vivo</italic>
</td>
</tr>
<tr>
<td rowspan="2" align="left">&#x2003;BP</td>
<td rowspan="2" align="left">200&#xa0;mg/kg (<xref ref-type="bibr" rid="B47">Hegazy et&#x20;al., 2015</xref>)</td>
<td rowspan="2" align="left">Rat (M)</td>
<td rowspan="2" align="left">N/A (brain lysates)</td>
<td align="left">&#x2191;</td>
<td align="left">NO, IL-6 and TNF-&#x3b1;</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IL-1&#x3b2; mRNA</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s1-4-1">
<title>Binding and Mode of Action</title>
<p>Paraben-ER activity and binding mechanism depends on the octanol-water partition coefficient (<italic>K</italic>
<sub>ow</sub>), an index of cell membrane transfer. Parabens with a relative high <italic>K</italic>
<sub>ow</sub>, such as BP, can diffuse across the cell membrane and directly bind DNA <italic>in silico</italic> (<xref ref-type="bibr" rid="B82">Manzetti, 2018</xref>). Ability to bind DNA directly is not exclusive to BP. Transcriptional and translational products of ERE-genes have also been reported following high dose (1,000&#xa0;mg/kg/d) exposure to isopropyl and isobutyl parabens. The concurrent decrease in mRNA and protein expression of ER&#x3b1; further suggests that parabens may not always follow an ER-to-ERE DNA activation pattern, and can instead directly bind to the ERE (<xref ref-type="bibr" rid="B122">Vo and Jeung, 2009</xref>). Alternatively, PP induces morphogenic changes in glandular structures via activation of both ER&#x3b1; and ER&#x3b2; and GPER-1 (<xref ref-type="bibr" rid="B83">Marchese and Silva, 2012</xref>). Exposure to MP (3&#xa0;&#x3bc;g/L), PP (3.6&#xa0;&#x3bc;g/L) or BP (3.9&#xa0;&#x3bc;g/L), can also increase GPER-1 gene and protein expression, which indicates that parabens can activate a GPER-1 autoregulatory feedback loop (<xref ref-type="bibr" rid="B126">Wrobel and Gregoraszczuk, 2015</xref>). Additional activity of parabens on other estrogen targets involves the inverse antagonism of ERR&#x3b3;. Parabens (methyl-to-benzyl parabens) are recruited <italic>in silico</italic> to the ERR&#x3b3; active site, and form bonds with active site residues (<xref ref-type="bibr" rid="B138">Zhang et&#x20;al., 2013</xref>). Binding of parabens to ER&#x3b1; or ER&#x3b2; conformations that transduce non-genomic signaling has not yet been described, likely due to the size limitation on membrane permeability. However, in the intercellular space, size-excluded parabens could preferentially target surface ER&#x3b1; or ER&#x3b2; to activate non-genomic signaling. Alternatively, the alkyl bulk of parabens may impede ligation to the active site of surface ERs. Nevertheless, activation of estrogen targets by parabens with a high K<sub>ow</sub> offers sufficient insight to raise concern regarding the interference of paraben EDCs with normal endocrine signaling in immune populations.</p>
</sec>
<sec id="s1-4-2">
<title>Innate Immunity Effects</title>
<p>Effects of paraben exposure on innate immunity are often derived from cosmetic allergology studies assessing the safety of personal care products. This restricts findings within a narrow niche of innate immune cells, specifically those that relate to allergic sensitivities. Nevertheless, findings can help inform on effective dosages and exposure schedules. Notably, dose ranges often fall within or surpass the doses at which activation of ERs has been described. For example, straight-chain parabens spanning from heptyl-to-decyl (low dose HP-DP, 2,360&#x2013;2,780&#xa0;&#x3bc;g/L) or pentyl-to-dodecyl (high dose PP-DDP, 20,800&#x2013;30,600&#xa0;&#x3bc;g/L) cause a significant release of histamine from degranulating mast cells (<xref ref-type="bibr" rid="B119">Uramaru et&#x20;al., 2014</xref>). This is also sustained by exposure to the branched isopentyl paraben (IPP, 20,800&#xa0;&#x3bc;g/L). MP causes immediate hypersensitivity, including contact urticaria, although it is unclear whether paraben-reactivity is a result of innate or adaptive activation, the latter of which would be an anti-paraben allergic recall (<xref ref-type="bibr" rid="B48">Henry et&#x20;al., 1979</xref>; <xref ref-type="bibr" rid="B78">Macy et&#x20;al., 2002</xref>). To date, discerning these effects has been limited by unsuccessful detection of anti-paraben IgE antibodies in the serum. However, this does not rule out a paraben-induced adaptive recall. IgE antibodies have a relative short-half life, which temporally limits their detection, and may lead to the incorrect assumption that paraben hypersensitivity is a localized innate response. Alternatively, other immunoglobulin classes, such as IgG antibodies, may be involved in activation of innate cells, transducing effects otherwise perceived as immediate reactivity to parabens (<xref ref-type="bibr" rid="B63">Kokubu et&#x20;al., 1989</xref>). A more detailed discussion is included in the adaptive immunity subsection on paraben effects.</p>
<p>Observations independent of allergic innate responses have been modestly reported. In the brain, BP (200&#xa0;mg/kg/d) increases the levels of NO, IL-6 and TNF-&#x3b1; but downregulates IL-1&#x3b2; (<xref ref-type="bibr" rid="B47">Hegazy et&#x20;al., 2015</xref>). Peripherally, it can also enhance dendritic cell (DC) trafficking to draining lymph nodes (dLN) and increases the secretion of IL-4 and IFN-&#x3b3; from dLNs (<xref ref-type="bibr" rid="B88">Matsuoka et&#x20;al., 2018</xref>). During pregnancy, exposure to BP and PP associate with higher measures of oxidative stress, lower expression of c-reactive protein, and changes in cytokine secretion. BP for example, increases IL-1&#x3b2;, IL-6, IL-10, and TNF-&#x3b1; levels, whereas MP increases only IL-6 and IL-10 and decreases levels of IL-1&#x3b2; (<xref ref-type="bibr" rid="B124">Watkins et&#x20;al., 2015</xref>). The ability of parabens to influence cytokine dynamics implicates not only innate but also adaptive responses, as the latter depend upon the precise balance of inflammatory factors to mount the appropriate humoral defense.</p>
</sec>
<sec id="s1-4-3">
<title>Adaptive Immunity Effects</title>
<p>Effects of parabens on adaptive immunity have primarily remained unexplored, perhaps because of the restrictive interest in parabens outside of cosmetics and personal care products. Alternatively, parabens can be erroneously overlooked since they have minimal bioaccumulation potential and relatively lower toxicity compared to other EDC categories. Nevertheless, clinical case reports identify anomalous serology characterized by both anti-paraben antibodies and paraben-associated auto anti-Jk<sup>a</sup> antibodies (<xref ref-type="bibr" rid="B57">Judd et&#x20;al., 1982</xref>; <xref ref-type="bibr" rid="B58">Judd et&#x20;al., 2001</xref>; <xref ref-type="bibr" rid="B37">Gniadek et&#x20;al., 2018</xref>). Although characterization of paraben-specific IgE antibodies is limited by their half-life, sensitization with BP and HP followed by challenge produces a significant allergic reaction (<xref ref-type="bibr" rid="B119">Uramaru et&#x20;al., 2014</xref>). This suggests that prior paraben priming is sufficient to generate recall upon antigen re-presentation and is a hallmark feature of adaptive immunity. Interestingly, patients presenting with intractable dermatitis resistant to typical corticosteroid creams, achieve rapid and complete recovery when administered paraben-free corticosteroid formulations. This indirectly confirms the existence of paraben-specific antibodies, although it does not offer an explanation as to how parabens may trigger an adaptive response (<xref ref-type="bibr" rid="B42">Guyton et&#x20;al., 2005</xref>). One possibility involves a combination of effects that involves both innate and adaptive mechanisms. Parabens acting on innate cells result in an unbalanced inflammatory milieu that recruits adaptive immune cells. In turn, recruited cells activate in the presence of cytokines and are then primed by exogenous parabens, generating antibodies with paraben affinity. In the context of dermatitis, this presents an easily remediable effect of exposure. However, such immunomodulation may be detrimental when paraben exposure occurs simultaneous with an ongoing innate or adaptive response, and could trigger hyperinflammatory syndrome and autoreactivity, respectively.</p>
</sec>
<sec id="s1-4-4">
<title>Autoimmunity</title>
<p>The role of parabens in autoimmunity is similarly limited to a few exploratory studies. To the best of our knowledge, no findings have been reported for paraben effects on immune cells that drive autoimmunity, such as B&#x20;cells or T&#x20;cells. However, an association of EP urinary levels and gestational diabetes has been reported, which suggests an increased risk of diabetes in later life (<xref ref-type="bibr" rid="B75">Liu et&#x20;al., 2019</xref>). In contrast, high concentrations of methyl-to-butyl parabens in urine were associated with lower odds of diabetes overall (<xref ref-type="bibr" rid="B123">Ward et&#x20;al., 2020</xref>). This suggests that exposure to parabens in the context of diabetic autoimmunity is more complex and requires a molecular approach for validation.</p>
<p>In children, sex-biased associations have been determined between urinary concentrations of methyl and propylparaben, whereby boys have increased asthma morbidity, as modeled by emergency department visits. A similar male-bias has also been reported in paraben-related triclosan exposure and food sensitization among children, further suggesting that EDCs influence human immune disease outcomes in a sex-specific manner (<xref ref-type="bibr" rid="B111">Savage et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B103">Quiros-Alcala et&#x20;al., 2019</xref>). Studies on central nervous autoreactivity have shown that paraben exposure, particularly BP (1.17 &#xd7; 10<sup>&#x2013;2</sup>&#xa0;&#x3bc;g/L), inhibits lysosomal enzyme secretion, which is otherwise elevated extracellularly in MS patients (<xref ref-type="bibr" rid="B7">Bairati et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B42">Guyton et&#x20;al., 2005</xref>). Nevertheless, combined findings illustrate the diversity of effects with which paraben EDCs influence immunity.</p>
</sec>
</sec>
<sec id="s1-5">
<title>Phthalates</title>
<p>Phthalates comprise the third category of EDCs. Although a variety of deleterious effects have been identified, phthalate compounds have commonly been described in reference to phthalate syndrome, a condition that causes developmental changes to the reproductive system. Similar to parabens, the strength of phthalate effects is conveyed by the shape (e.g., branching) and length of the ester side chains (<xref ref-type="bibr" rid="B115">Takeuchi et&#x20;al., 2005</xref>). Compounds with relative high potency contain linear ester sidechains of 4&#x2013;6 carbons, whereas shorter or longer phthalate esters tend to cause less severe effects (<xref ref-type="bibr" rid="B23">Council, 2008</xref>). Nevertheless, many of these compounds are known endocrine disruptors and have adverse outcomes, including multigenerational and transgenerational reproductive dysfunction (<xref ref-type="table" rid="T2">Table&#x20;2</xref>) (<xref ref-type="bibr" rid="B60">Kay et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B139">Zhou et&#x20;al., 2017</xref>). The role of phthalates in reproductive health emphasizes their relevance for all aspects under endocrine control, including innate and adaptive immune responses.</p>
<sec id="s1-5-1">
<title>Binding and Mode of Action</title>
<p>Like members of other EDC categories, phthalates both activate and disrupt endocrine signaling, particularly pathways regulated by estrogen and its receptors (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). Although non-genomic activation has been defined for diethyl phthalate (DEP), it has remained unexplored for other compounds (<xref ref-type="bibr" rid="B65">Kumar et&#x20;al., 2014</xref>). Nuclear effects, however, are generally more common. For example, butyl benzyl phthalate (BBP; 3,120&#xa0;&#x3bc;g/L) caused demethylation of ER&#x3b1; promoter-associated CpG islands and increased ER&#x3b1; gene expression (<xref ref-type="bibr" rid="B59">Kang and Lee, 2005</xref>). In GPER-1<sup>&#x2b;</sup> cells, BBP (31,200&#xa0;&#x3bc;g/L), DBP (2,800&#xa0;&#x3bc;g/L), and DEHP (3,900&#xa0;&#x3bc;g/L) all led to increased proliferation. In the absence of GPER-1, this effect was undetected for all phthalates, which suggests that they initiate proliferation via GPER-1 (<xref ref-type="bibr" rid="B61">Kim et&#x20;al., 2004</xref>). Additionally, both DBP and diisopentyl phthalate (DiPeP) (500&#xa0;mg/kg/d) increase GPER-1 gene expression, whereas DiPeP at a lower dose (125&#x2013;250&#xa0;mg/kg/d) decreases ER&#x3b1; without affecting levels of ER&#x3b2; (<xref ref-type="bibr" rid="B25">Curi et&#x20;al., 2019</xref>). Interestingly, phthalates may act simultaneously as agonists and/or antagonists, primarily via ER&#x3b1;; only BBP has been shown to have activity on ER&#x3b2;. Binding of phthalates to other estrogen targets, including ERRs, has not been extensively characterized. Only one study found that DEHP (50,000&#xa0;&#x3bc;g/L) increased ERR gene expression (<xref ref-type="bibr" rid="B97">Park and Kwak, 2010</xref>). Nevertheless, collective data (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>) suggests that phthalates can exert effects via both ER&#x3b1; and GPER-1 and have the potential to disrupt cells that depend on estrogen signaling, which includes cells of the immune system.</p>
</sec>
<sec id="s1-5-2">
<title>Innate Immunity Effects</title>
<p>Phthalate compounds and their metabolites have been identified as adverse modulators of innate immunity (<xref ref-type="table" rid="T4">Table&#x20;4</xref>). Perinatal DEHP (60 and 600&#xa0;&#x3bc;g/kg/d) alters inflammatory functions of peritoneal macrophages and results in suppression of TNF-&#x3b1; and IL-1&#x3b2; gene expression. In contrast, gene expression for IL-6 was significantly upregulated, suggesting that phthalate exposure contributes to the dysregulated continual production of IL-6, which has been associated with the onset of various diseases. Interestingly, both DEHP and its metabolite, mono-(2-ethylhexyl) phthalate (MEHP, 20&#xa0;&#x3bc;g/L), reduced macrophage phagocytosis (<xref ref-type="bibr" rid="B73">Li et&#x20;al., 2018</xref>). Because phthalates are known to leak from plastic goods and accumulate as contaminants in soil and water sources, there is concern that metabolite exposure may lead to inadvertently persistent exposure. Similar cytokine dysregulation in human innate immune cells has also been reported. DEP (22,200&#xa0;&#x3bc;g/L) and DBP (27,800&#xa0;&#x3bc;g/L) upregulate secretion of IL-6, CXCL8 and IL-10 secretion and inhibit TNF-&#x3b1; secretion in macrophages (<xref ref-type="bibr" rid="B46">Hansen et&#x20;al., 2015</xref>). DEHP (3,900&#xa0;&#x3bc;g/L) further modulates the differentiation and maturation of PBMC-derived DCs (<xref ref-type="bibr" rid="B54">Ito et&#x20;al., 2012</xref>). Even at low doses, both DEHP (39&#xa0;&#x3bc;g/L) and BBP (31&#xa0;&#x3bc;g/L) suppress expression of type I interferons, such as IFN-&#x3b1; and IFN-&#x3b2;, from plasmacytoid DCs (<xref ref-type="bibr" rid="B67">Kuo et&#x20;al., 2013</xref>). Collectively, animal and human studies are congruent in implicating phthalates in cytokine dysfunction that can drive aberrant innate immune responses.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Diversity of immune effects by phthalate EDCs.</p>
</caption>
<table>
<thead>
<tr>
<td align="left"/>
<td align="center">Dose (&#x3bc;g/L)</td>
<td align="center">Species</td>
<td align="center">Cell type</td>
<td colspan="2" align="center">Immune impact</td>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">
<italic>In vitro</italic>
</td>
</tr>
<tr>
<td align="left">&#x2003;MBP</td>
<td align="left">22,200 (<xref ref-type="bibr" rid="B46">Hansen et&#x20;al., 2015</xref>)</td>
<td align="left">Human</td>
<td align="left">T&#x20;Cells</td>
<td align="left">&#x2191;</td>
<td align="left">IL-6</td>
</tr>
<tr>
<td align="left">&#x2003;MEHP</td>
<td align="left">20 (<xref ref-type="bibr" rid="B73">Li et&#x20;al., 2018</xref>)</td>
<td align="left">Mouse (F)</td>
<td align="left">M &#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">Phagocytosis</td>
</tr>
<tr>
<td align="left">&#x2003;DEP</td>
<td align="left">22,200 (<xref ref-type="bibr" rid="B46">Hansen et&#x20;al., 2015</xref>)</td>
<td align="left">Human</td>
<td align="left">M &#x3a6;</td>
<td align="left">&#x2191;</td>
<td align="left">IL-6</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2191;</td>
<td align="left">CXCL8</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2191;</td>
<td align="left">IL-10</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;</td>
</tr>
<tr>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">T&#x20;Cells</td>
<td align="left">&#x2193;</td>
<td align="left">IL-2</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IL-4</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td align="left">&#x2003;DBP</td>
<td align="left">27,800 (<xref ref-type="bibr" rid="B46">Hansen et&#x20;al., 2015</xref>)</td>
<td align="left">Human</td>
<td align="left">M&#x3a6;</td>
<td align="left">&#x2191;</td>
<td align="left">IL-6</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2191;</td>
<td align="left">CXCL8</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2191;</td>
<td align="left">IL-10</td>
</tr>
<tr>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;</td>
</tr>
<tr>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">
</td>
<td rowspan="4" align="left">T&#x20;Cells</td>
<td align="left">&#x2193;</td>
<td align="left">IL-2</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IL-4</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1;</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td rowspan="4" align="left">&#x2003;BBP</td>
<td rowspan="4" align="left">31<sup>a</sup> (<xref ref-type="bibr" rid="B67">Kuo et&#x20;al., 2013</xref>)</td>
<td rowspan="4" align="left">Human</td>
<td rowspan="1" align="left">Plasmacytoid dendritic cells</td>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b1;</td>
</tr>
<tr>
<td rowspan="3" align="left">T&#x20;Cells</td>
<td align="left">&#x2191;</td>
<td align="left">IFN-&#x3b2;</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-13</td>
</tr>
<tr>
<td rowspan="14" align="left">&#x2003;DEHP</td>
<td align="left">&#x2265;1,560 (<xref ref-type="bibr" rid="B84">Martins et&#x20;al., 2015</xref>)</td>
<td rowspan="2" align="left">Rainbow trout</td>
<td align="left">B&#x20;Cells</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td align="left">&#x2265;6,250 (<xref ref-type="bibr" rid="B84">Martins et&#x20;al., 2015</xref>)</td>
<td align="left">IgM plasmablasts/Plasma cells</td>
<td align="left">&#x2193;</td>
<td align="left">Proliferation</td>
</tr>
<tr>
<td rowspan="3" align="left">60 and 600&#xa0;&#x3bc;g/kg/d (<xref ref-type="bibr" rid="B73">Li et&#x20;al., 2018</xref>)</td>
<td rowspan="8" align="left">Mouse</td>
<td rowspan="3" align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1; mRNA (F)</td>
</tr>
<tr>
<td align="left">&#x2193;</td>
<td align="left">IL-1 mRNA (F)</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-6 mRNA (F)</td>
</tr>
<tr>
<td align="left">3,900 (<xref ref-type="bibr" rid="B54">Ito et&#x20;al., 2012</xref>)</td>
<td align="left">Dendritic cells</td>
<td align="left">&#x2191;</td>
<td align="left">Differentiation and maturity</td>
</tr>
<tr>
<td rowspan="4" align="left">30, 300, 3,000&#xa0;&#x3bc;g/kg (<xref ref-type="bibr" rid="B45">Han et&#x20;al., 2019</xref>)</td>
<td rowspan="4" align="left">T<sub>FH</sub>
</td>
<td align="left">&#x2191;</td>
<td align="left">Bcl-6</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">c-MAF</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-21</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-4</td>
</tr>
<tr>
<td rowspan="4" align="left">39<sup>a</sup> (<xref ref-type="bibr" rid="B67">Kuo et&#x20;al., 2013</xref>)</td>
<td rowspan="4" align="left">Human</td>
<td rowspan="2" align="left">Plasmacytoid dendritic cells</td>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b1;</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IFN-&#x3b2;</td>
</tr>
<tr>
<td rowspan="2" align="left">T&#x20;Cells</td>
<td align="left">&#x2193;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-13</td>
</tr>
<tr>
<td colspan="6" align="left">
<italic>In vivo</italic>
</td>
</tr>
<tr>
<td rowspan="5" align="left">&#x2003;BBP</td>
<td rowspan="5" align="left">3,000 (<xref ref-type="bibr" rid="B31">Elter et&#x20;al., 2020</xref>)</td>
<td rowspan="5" align="left">Mouse</td>
<td align="left">N/A</td>
<td align="left">&#x2191;</td>
<td align="left">Severity of RA in progeny</td>
</tr>
<tr>
<td rowspan="2" align="left">Serum</td>
<td align="left">&#x2191;</td>
<td align="left">IgG1</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IgG2a</td>
</tr>
<tr>
<td rowspan="2" align="left">Splenocytes</td>
<td align="left">&#x2191;</td>
<td align="left">IFN-&#x3b3;</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">IL-17</td>
</tr>
<tr>
<td rowspan="8" align="left">&#x2003;DEHP</td>
<td align="left">60 and 600&#xa0;&#x3bc;g/kg/d (<xref ref-type="bibr" rid="B73">Li et&#x20;al., 2018</xref>)</td>
<td rowspan="5" align="left">Mouse</td>
<td rowspan="2" align="left">M&#x3a6;</td>
<td align="left">&#x2193;</td>
<td align="left">TNF-&#x3b1; gene expression</td>
</tr>
<tr>
<td align="left">60&#xa0;&#x3bc;g/kg/d (<xref ref-type="bibr" rid="B73">Li et&#x20;al., 2018</xref>)</td>
<td align="left">&#x2193;</td>
<td align="left">Phagocytosis</td>
</tr>
<tr>
<td rowspan="3" align="left">30, 300, 3,000&#xa0;&#x3bc;g/kg (<xref ref-type="bibr" rid="B44">Han et&#x20;al., 2014</xref>)</td>
<td rowspan="3" align="left">T<sub>FH</sub>
</td>
<td align="left">&#x2191;</td>
<td align="left">Co-stimulatory activity</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">SLAMF1 and SAP</td>
</tr>
<tr>
<td align="left">&#x2191;</td>
<td align="left">Germinal center formation</td>
</tr>
<tr>
<td rowspan="3" align="left">11.3&#x2013;13.3&#xa0;mg/kg/d (<xref ref-type="bibr" rid="B51">Hirai et&#x20;al., 2015</xref>)</td>
<td rowspan="3" align="left">Mouse (M with EAO)</td>
<td align="left">M&#x3a6; and other cells</td>
<td align="left">&#x2191;</td>
<td align="left">Number IFN-&#x3b3;&#x2b;</td>
</tr>
<tr>
<td align="left">Lymphocytes</td>
<td align="left">&#x2191;</td>
<td align="left">Infiltrates</td>
</tr>
<tr>
<td align="left">Serum</td>
<td align="left">&#x2191;</td>
<td align="left">Anti-testicular germ cell autoantibodies</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>Immune effect at high dose(s) only; (F), female bias; (M), male bias; MBP, monobutyl phthalate; MEHP, mono-(2-ethylhexyl) phthalate; DEP, diethyl phthalate; DBP, dibutyl phthalate; BBP, butyl benzyl phthalate; DEHP, di (2-ethylhexyl) phthalate; TFH, follicular helper T&#x20;cells.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s1-5-3">
<title>Adaptive Immunity Effects</title>
<p>Phthalate-induced dysregulation of adaptive response has unsurprisingly resulted from both parent esters and their metabolites. DEP (22,200&#xa0;&#x3bc;g/L) and DBP (27,800&#xa0;&#x3bc;g/L) impaired activation-induced T&#x20;cell secretion of IL-2, IL-4, TNF-&#x3b1; and IFN-&#x3b3;, but not levels of IL-6 or IL-10. In contrast, the monoester metabolite of DBP, monobutyl phthalate (MBP, 22,200&#xa0;&#x3bc;g/L) upregulated expression of IL-6, suggesting that phthalate compounds are twice as immunomodulatory (<xref ref-type="bibr" rid="B46">Hansen et&#x20;al., 2015</xref>). In their intact form, phthalates may disrupt signaling pathways that control normal cytokine expression, such as E2-mediated transduction. However, once inside the cell, they can also be processed into various metabolites. This extends their activity and sometimes produces effects that are independent of the parent compound. Effects induced by monoester metabolites have been reported, including an associated reduction of cord blood <italic>T</italic>
<sub>reg</sub> cells by both monoethyl (MEP) and monoisobutyl phthalate (MiBP) (<xref ref-type="bibr" rid="B49">Herberth et&#x20;al., 2017</xref>). Nevertheless, not all studies report metabolite activities but they do corroborate adaptive immune dysfunction. For example, DEHP (39&#xa0;&#x3bc;g/L) and BBP (31&#xa0;&#x3bc;g/L) suppress IFN-&#x3b3; and can increase IL-13 secretion from CD4 T&#x20;cells (<xref ref-type="bibr" rid="B67">Kuo et&#x20;al., 2013</xref>). In B&#x20;cells, DEHP inhibits proliferation (&#x2265;1,560&#xa0;&#x3bc;g/L), which causes a significant reduction in IgM-secreting plasmablasts and plasma cells (&#x2265;6,250&#xa0;&#x3bc;g/L) (<xref ref-type="bibr" rid="B84">Martins et&#x20;al., 2015</xref>). In contrast, DEHP (30, 300, 3,000&#xa0;&#x3bc;g/kg) can also increase expression of SLAMF1 and SAP in T<sub>FH</sub> cells, thereby acting as an immunoadjuvant to promote co-stimulatory activity. DEHP also leads to enhanced formation of germinal centers by elevating expression of transcription factors, Bcl-6 and c-MAF in T<sub>FH</sub> cells, as well as IL-21 and IL-4 cytokines (<xref ref-type="bibr" rid="B44">Han et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B45">Han et&#x20;al., 2019</xref>). Interestingly, early-life DEHP exposure elevates secretion of virus-specific IgM following post-natal hepatitis B immunization. This, however, alters the gut microbiota in newborns and could have lasting repercussions on immune responses in later-life, including onset of autoimmune disease (<xref ref-type="bibr" rid="B131">Yang et&#x20;al., 2019</xref>).</p>
<p>
<italic>Autoimmunity</italic>. Contributions of phthalates to autoimmunity have been thoroughly characterized, especially their potential to exacerbate, or perhaps, induce autoreactivity. In testicular autoimmunity, DEHP (0.01% or 11.3&#x2013;13.3&#xa0;mg/kg/d) increases severity of mild experimental autoimmune orchitis (EAO) and is accompanied by an increase in IFN-&#x3b3;<sup>&#x2b;</sup> cells and overall macrophages. Elevated lymphocytic infiltrates and anti-testicular germ cell autoantibodies further suggest that phthalates can exacerbate autoimmune disease (<xref ref-type="bibr" rid="B51">Hirai et&#x20;al., 2015</xref>). In rheumatoid arthritis (RA), maternal BBP administration (3,000&#xa0;&#x3bc;g/L) similarly increases the prevalence and severity of RA in the progeny, illustrating a transgenerational effect of phthalate exposure. This is associated with elevated levels of serum IgG1 and IgG2a, as well as enhanced secretion of IFN-&#x3b3; and IL-17 from splenocytes (<xref ref-type="bibr" rid="B31">Elter et&#x20;al., 2020</xref>). DEHP (7.5&#xa0;mg/kg) can also increase levels of autoantibodies and associated proteinuria-induced renal dysfunction (<xref ref-type="bibr" rid="B74">Lim and Ghosh, 2005</xref>). Effects of phthalates on other autoimmune conditions have also been identified. In children with new onset of type 1 diabetes, higher levels of DiBP metabolites were detected by comparison with healthy controls (<xref ref-type="bibr" rid="B16">Castro-Correia et&#x20;al., 2018</xref>). Furthermore, although the temporal context of immune deregulation is yet debated, inappropriate inflammatory responses and altered functions of lymphocytes have been proposed to be causative for and/or correlative with type 2 diabetes (<xref ref-type="bibr" rid="B27">de Candia et&#x20;al., 2019</xref>). At levels relevant to human exposure, phthalates induce both transient and life-long metabolic dysfunction, including an increased risk of type 2 diabetes and insulin resistance (<xref ref-type="bibr" rid="B104">Radke et&#x20;al., 2019</xref>). Combined data thus illustrates that phthalates directly and indirectly (transgenerationally) disrupt the normal function of both innate and adaptive immune processes, which may trigger onset of autoimmunity, especially in predisposed individuals. In addition, phthalate immunomodulation may lead to somewhat milder, but chronic, effects, such as persistent inflammation. This disruption in cytokines may, over time, provide a favorable context for self-reactivity to develop, even in individuals otherwise disinclined to autoimmune disease.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s2">
<title>Discussion</title>
<p>The sex-bias of disease susceptibility has remained an unresolved phenomenon of autoimmunity, including in MS, RA and SLE. This puzzling bias has also gained momentum with post-infection viral autoimmunity and has particular relevance to the current SARS-CoV-2 pandemic. In considering these two, seemingly unrelated, settings, we draw attention to the incidence rate of female-biased autoimmunity and emphasize its steady increase, which has suggested a role for environmental factors. Similar influence may be exerted by the environment, not only on viral-associated autoreactivity, but also on the immunomodulation of the viral adaptive response. In this review, we have emphasized the importance of the environment, particularly EDCs and estrogen mimicry, and the role played in the disruption of immune dynamics. We show that both innate and adaptive response rely upon hormone transduction for several key functions, including cytokine secretion and proliferation.</p>
<p>EDCs set forth a spectrum of effects and determining how immune populations are affected is constrained by several challenges: (1) dose, (2) dose schedule, (3) biological model, (4) cumulative exposure, and (5) metabolites. For many EDCs, dose, including frequency and duration is a critical factor, especially as it may mask biphasic EDC activities. The choice of biological model should also be considered in parallel with dose, as EDCs can produce dramatically different results across species. This variability is likely characteristic of circulating hormone levels and the degree of endocrine involvement, both of which should be taken into account whenever studies are designed, or findings are inferred to human health. In an effort to address this, we hope our review will provide a summary to direct comparisons across both the dose and biological&#x20;model.</p>
<p>Furthermore, we caution against experimental oversimplification. Although fewer conditions generally allow for clear and translatable interpretations, this may also result in a context that is too artificial to recapitulate the biological phenomenon. Current EDC studies have not adequately addressed effects of cumulative exposure, despite the regular occurrence for this in our environment. Evaluation of effects for combined EDCs can reveal critical information to help identify mechanisms and risks of disease onset that are more relevant to natural exposure. EDC metabolites are similarly important in this context of cumulative exposure. Both the inherent ability to metabolize EDCs and the rate at which this occurs warrant consideration and may be useful to resolve the variation of results observed across species and cell types. To aid in this, we have generated mechanism-of-action guides that describe how different categories of environmental endocrine disruptors, including their metabolites, are most likely to interfere in immune-endocrine signaling.</p>
<p>In writing this review, we hope the information herein detailed will remove some of the complexities associated with inferring experimental findings of EDC exposure to human health and may be used as a guide for future research.</p>
</sec>
</body>
<back>
<sec id="s3">
<title>Author Contributions</title>
<p>MP and TF researched data for the review. TC made a substantial contribution to the discussion of content. All authors have equally contributed in writing and editing of the manuscript prior to submission.</p>
</sec>
<sec sec-type="COI-statement" id="s4">
<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 constructed as a potential conflict of interest.</p>
</sec>
<ack>
<p>We thank Rick and Nancy Moskovitz and the Women&#x2019;s Brain Initiative Program at the Brigham and Women&#x2019;s Hospital for their support of this&#x20;work.</p>
</ack>
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