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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1279245</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Testosterone affects type I/type II interferon response of neutrophils during hepatic amebiasis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Er-Lukowiak</surname>
<given-names>Marco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<name>
<surname>H&#xe4;nzelmann</surname>
<given-names>Sonja</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<name>
<surname>Rothe</surname>
<given-names>Moritz</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Moamenpour</surname>
<given-names>David T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Hausmann</surname>
<given-names>Fabian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<name>
<surname>Khatri</surname>
<given-names>Robin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Hansen</surname>
<given-names>Charlotte</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Boldt</surname>
<given-names>Jennifer</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>B&#xe4;rreiter</surname>
<given-names>Valentin A.</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Honecker</surname>
<given-names>Barbara</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Bea</surname>
<given-names>Annika</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Groneberg</surname>
<given-names>Marie</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<surname>Fehling</surname>
<given-names>Helena</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<surname>Marggraff</surname>
<given-names>Claudia</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Cadar</surname>
<given-names>D&#xe1;niel</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Bonn</surname>
<given-names>Stefan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sellau</surname>
<given-names>Julie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lotter</surname>
<given-names>Hanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Molecular Parasitology and Immunology, Bernhard Nocht Institute for Tropical Medicine</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Medical Systems Biology, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Center for Biomedical Artificial Intelligenc, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>III. Department of Medicine, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Hamburg Center for Translational Immunology, University Medical Center Hamburg-Eppendorf</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Romulo Dias Novaes, Federal University of Alfenas, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Dominik R&#xfc;ckerl, The University of Manchester, United Kingdom</p>
<p>Filiz Korkmaz, University of Massachusetts Medical School, United States</p>
<p>Thaiany Souza-Silva, Federal University of Minas Gerais, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hanna Lotter, <email xlink:href="mailto:lotter@bnitm.de">lotter@bnitm.de</email>; Julie Sellau, <email xlink:href="mailto:Julie_Sellau@hotmail.com">Julie_Sellau@hotmail.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;These authors share senior authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1279245</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>08</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Er-Lukowiak, H&#xe4;nzelmann, Rothe, Moamenpour, Hausmann, Khatri, Hansen, Boldt, B&#xe4;rreiter, Honecker, Bea, Groneberg, Fehling, Marggraff, Cadar, Bonn, Sellau and Lotter</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Er-Lukowiak, H&#xe4;nzelmann, Rothe, Moamenpour, Hausmann, Khatri, Hansen, Boldt, B&#xe4;rreiter, Honecker, Bea, Groneberg, Fehling, Marggraff, Cadar, Bonn, Sellau and Lotter</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Differences in immune response between men and women may influence the outcome of infectious diseases. Intestinal infection with Entamoeba histolytica leads to hepatic amebiasis, which is more common in males. Previously, we reported that innate immune cells contribute to liver damage in males in the murine model for hepatic amebiasis. Here, we focused on the influences of sex and androgens on neutrophils in particular. Infection associated with neutrophil accumulation in the liver was higher in male than in female mice and further increased after testosterone treatment in both sexes. Compared with female neutrophils, male neutrophils exhibit a more immature and less activated status, as evidenced by a lower proinflammatory N1-like phenotype and deconvolution, decreased gene expression of type I and type II interferon stimulated genes (ISGs) as well as downregulation of signaling pathways related to neutrophil activation. Neutrophils from females showed higher protein expression of the type I ISG viperin/RSAD2 during infection, which decreased by testosterone substitution. Moreover, ex vivo stimulation of human neutrophils revealed lower production of RSAD2 in neutrophils from men compared with women. These findings indicate that sex-specific effects on neutrophil physiology associated with maturation and type I IFN responsiveness might be important in the outcome of hepatic amebiasis.</p>
</abstract>
<kwd-group>
<kwd>sex difference</kwd>
<kwd>Entamoeba histolytica</kwd>
<kwd>testosterone</kwd>
<kwd>neutrophils</kwd>
<kwd>type I and type II interferon</kwd>
</kwd-group>
<contract-num rid="cn001">CRC841, RU5068, CRC1192, KFO306, M3I excellence initiative</contract-num>
<contract-sponsor id="cn001">Deutsche Forschungsgemeinschaft<named-content content-type="fundref-id">10.13039/501100001659</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="15"/>
<word-count count="6624"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Parasite Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Sex chromosomes, hormones, and the immune system influence disease severity and susceptibility in men and women (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Male hormones can suppress the immune system, making men more vulnerable to infections, while female hormones promote stronger immune responses, albeit with a potential for autoimmune diseases (<xref ref-type="bibr" rid="B4">4</xref>). However, precise mechanisms underlying these differences remain unclear.</p>
<p>Innate immune cells (neutrophils and monocytes) are crucial for the initial response against microorganisms. However, inadequate control can lead to their involvement in the pathophysiology of different diseases (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Neutrophils are the most abundant immune cells and are recruited to affected tissues in large numbers (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). Neutrophils are traditionally considered a homogeneous population expressing CD11b, Ly6C, and Ly6G in mice and CD66, and CD16 in humans (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). However, human and murine single cell RNA studies show that neutrophils are a more heterogeneous immune cell population (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). By analogy with the classification of macrophages into proinflammatory M1-like and anti-inflammatory M2-like cells (<xref ref-type="bibr" rid="B18">18</xref>), neutrophils in mice in the tumor environment had been classified as proinflammatory (N1) and anti-inflammatory (N2) based on expression of specific surface markers (CD54 and PDL-1, respectively (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). However, it is unclear whether this classification can be applied in the context of infectious diseases. In the mouse model for hepatic amebiasis caused by infection with the parasite <italic>Entamoeba histolytica</italic> (<italic>E. histolytica</italic>), which is more common in males than in females, neutrophils contribute to the development of liver injury (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). Testosterone treatment or gonadectomy reverse these sex-related differences, and depletion of neutrophils or their recruitment factor (CXCL1) reduces liver destruction significantly (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). Female mice, on the other hand, are protected by strong amoebicidal interferon (IFN)-&#x3b3; responses (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Interferons are a broad family of molecules categorized as type I (IFN-&#x3b1;/&#x3b2;), type II (IFN-&#x3b3;), and type III (IFN-&#x39b;1-4) (<xref ref-type="bibr" rid="B28">28</xref>). The corresponding signaling pathways induce the expression of the respective interferon-stimulated genes (ISGs) (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>) Type I IFN production and those of the corresponding ISGs, including the interferon-inducible virus-inhibitory protein (viperin) encoded by Rsad2, are increased at the RNA level in neutrophils from women compared with men, however, no sex difference in their number has been reported (<xref ref-type="bibr" rid="B16">16</xref>). This is significant as higher viperin/RSAD2 expression is often associated with more effective viral elimination by targeting virus proteins for proteasomal degradation (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>) and catalyzation of ribonucleotides that inhibit viral RNA synthesis (<xref ref-type="bibr" rid="B34">34</xref>). However, in non-viral infectious diseases, not much is known about the function of ISGs.</p>
<p>Here, we examined sex-specific involvement of neutrophils in the murine model of hepatic amebiasis. Male mice had higher testosterone-dependent neutrophil presence compared to females. Testosterone reduced infection-related N1 and N2-like neutrophils, along with an increase in maturation stage in female neutrophils. Female neutrophils showed higher gene expression of type I and type II ISGs compared to male neutrophils, with viperin/RSAD2 being upregulated in neutrophils at the protein level of female mice and women and downregulated after testosterone treatment of mice.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Human samples</title>
<p>All human studies complied with all relevant ethical regulations. Experiments with blood samples from healthy caucasian donors of both sexes (25&#x2013;49 years of age) were approved by the ethics committee of the medical association Hamburg (permission number: 2020-10067-BO). All experiments were conducted under donor anonymization and in accordance with the relevant guidelines.</p>
</sec>
<sec id="s2_2">
<title>Animal experiments</title>
<p>C57BL/6 mice (10&#x2013;12 weeks old) were used for the experiments, which were performed in accordance with German animal protection laws and reviewed by the federal health authorities of the State of Hamburg (permission numbers: N51/17; N120/2020). Mice were bred in the animal facility of the Bernhard Nocht Institute for Tropical Medicine and kept at 21&#x2013;22&#xb0;C (50&#x2013;60% humidity) in ventilated cages under specific pathogen-free conditions. Mice were rendered unconscious using a CO<sub>2</sub> (20%)-filled chamber and sacrificed by cervical dislocation.</p>
</sec>
<sec id="s2_3">
<title>Induction of hepatic amebiasis</title>
<p>Mice (10-12 weeks old) were infected intrahepatically with 2 &#xd7; 10<sup>5</sup> <italic>in vitro</italic>-cultivated trophozoites of the high pathogenic <italic>E. histolytica</italic> clone B2, as described previously (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Mice were sacrificed on day 3 postinfection (pi), at the peak of disease severity (<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="s2_4">
<title>Gonadectomy, and testosterone treatment of male and female mice</title>
<p>Male mice (8 weeks old) were gonadectomized by testicular ligation. Testosterone substitution was performed by subcutaneous implantation of an osmotic pump (micro-osmotic pump; Model 2004, ALZET) containing 5 mg/mL testosterone diluted in 45% w/w 2-Hydroxypropyl-&#x3b2;-cyclodextrin (carrier solution) or carrier solution alone. Alternatively, testosterone implants (Belma Technologies: T30) were inserted subcutaneously.</p>
</sec>
<sec id="s2_5">
<title>Isolation of murine immune cells</title>
<p>Bone marrow (BM) was collected from euthanized mice by flushing it into a dish using PBS. The cell suspension was filtered and treated with an erythrocyte lysis buffer. Blood was obtained by cardiac puncture upon euthanization, collected in EDTA-coated tubes, and two erythrolysis steps were performed to isolate immune cells. Spleen and liver were mashed, flushed with PBS on ice, and filtered, followed by one erythrolysis step. Liver immune cells were isolated using 80% Percoll as described previously (<xref ref-type="bibr" rid="B37">37</xref>). Neutrophil granulocytes from bone marrow were isolated using a Neutrophil Isolation Kit (#130-097-658, Miltenyi Biotec), blood neutrophils were isolated by FACS-sorting.</p>
</sec>
<sec id="s2_6">
<title>Histology and immunohistochemistry</title>
<p>Liver tissue from <italic>E. histolytica</italic>-infected mice was fixed in formalin (4%) and embedded in paraffin. Sections (0.2 &#xb5;m) were stained with hematoxylin and eosin (H&amp;E) or prepared for immunohistochemistry. Antibodies: rabbit anti-mouse 7/4 antibody (Neutrophils, clone 7/4; Cedarlane; 1:800 dilution); polyclonal rabbit serum raised against recombinant <italic>E. histolytica-</italic> antigens. Slices were developed using DCS SuperVision Single Species horse-radish peroxidase (HRP)-Polymere (Innovative Diagnostic-Systems) and counterstained with hemalaun.</p>
</sec>
<sec id="s2_7">
<title>Cytokine analysis</title>
<p>Blood plasma was used for cytokine analysis. Briefly, collected blood was centrifuged (1000 &#xd7; g, 4&#xb0;C, 10&#xa0;min) to obtain plasma and stored -20&#xb0;C prior to cytokine measurement. Cytokine analysis was performed using multiple customized murine LEGENDplex kits (BioLegend).</p>
</sec>
<sec id="s2_8">
<title>Flow cytometry analysis</title>
<p>Flow cytometry was performed from organ single-cell suspensions or purified neutrophils, live cells were identified using zombie UV dye (#423108 BioLegend) or live/dead blue (#L34961 Invitrogen), intracellular cytokine staining was performed following 4&#xa0;h restimulation with phorbol myristate acetate (PMA; 50 ng/mL) and ionomycin (500 ng/mL), followed by a 1h Brefeldin A (5 &#xb5;g/ml) incubation. Antibodies: (all from BioLegend unless stated otherwise): CD11b FITC (1:200, M1/70), CD11b PerCP (1:100 M1/70), CD11b Bv510 (1:100, M1/70), Ly6C PerCP/Cy5.5 (1:400, HK 1-4), Ly6C PE (1:800, HK 1-4), Ly6G APC/Cy7 (1:400, 1A8), Ly6G PE (1:400, 1A8), Ly6G Bv785 (1:100, 1 A8), PD-L1 PE (1:100, 10F.9G2), CD54 AF647 (1:200, YN1/1.74), CD117 BUV395 (1:100, 2B8, BD), TNF-&#x3b1; BV421 (1:200, MP6-XT22), CCL2 PE (1:50, 2H5), CXCL1 AF647 (1:50, 1174A, R&amp;D). Human neutrophils were analyzed in peripheral blood or after isolation using the MACSxpress<sup>&#xae;</sup> kit (Miltenyi Biotech). Isolated cells were stimulated with PMA (10 ng/mL), LPS (0.1 &#xb5;l/mL) and CL097 (1&#xb5;g/mL) for 4 hours. Antibodies: CD16-APC-Cy7 (1:200, 3G8) and CD66B-APC (1:400, G10F5, Biolegend), viperin (RSAD2) PE (1:200, MaP,VIP; Biosience). Flow cytometry analysis was performed on a Cytek Aurora (Cytek)- or BD LSRII cytometer and data analysis were performed using FlowJo V10.4.2 software.</p>
</sec>
<sec id="s2_9">
<title>RT-PCR/qPCR</title>
<p>RNA was isolated from BM-derived neutrophils or blood leukocytes using TRIzol reagent (Life Technology) or a RNeasy MinElute kit (Qiagen). RNA was transcribed into cDNA using the Maxima First Strand cDNA Kit (Thermo Scientific). Androgen receptor (AR) and Ly6G mRNA levels were calculated using the 2<sup>-&#x394;&#x394;Ct</sup> method, with the ribosomal protein S9 (RPS9) as housekeeping gene. The following primers were used: fwd-AR, 5&#xb4;-TGAGTACCGCATGCA-CAAGT-3&#xb4;; rev-AR, 5&#xb4;-GCCCATCCACTGGAATAATGC-3&#xb4;. Ly6G SG QuantiTect primers (Qiagen) were used for quantification of Ly6G. QPCR was performed using the Maxima SYBR Green qPCR Master Mix kit (Thermo Scientific) and a Roche LightCycler<sup>&#xae;</sup>.</p>
</sec>
<sec id="s2_10">
<title>RNA sequencing and data analysis</title>
<p>Sequencing library was prepared using the QIAseq Stranded mRNA Library Kit (Qiagen, Hilden, Germany) at the NGS Core Facility at the Bernhard-Nocht-Institute for Tropical Medicine and sequenced on a NextSeq 2000 Illumina Platform. Constructed libraries were sequenced as barcoded pooled samples on a NextSeq 550, resulting in 14&#x2013;17.5 million reads for blood and 15.1&#x2013;22.4 million reads for BM. The read length of the nucleotides was 100 base pairs. Library preparation and sequencing were performed at the Bernhard Nocht Institute for Tropical Medicine.</p>
</sec>
<sec id="s2_11">
<title>Bioinformatics</title>
<sec id="s2_11_1">
<title>Cell type deconvolution analysis</title>
<p>Single cell reference-based cell-type deconvolution was performed using blood and BM RNA-seq samples based on the neutrophils single-cell data generated by Kim et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>) which uses the nomenclature introduced in Xie et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>), as the reference for deconvolution by Scaden (<xref ref-type="bibr" rid="B39">39</xref>). The single cells (n=6025) were labeled G2 (n=67), G3 (n=1495), G4 (n=2843), G5a(n=1235), G5b (n=92) and G5c (n=293). Scaden uses a fully connected deep neural network ensemble trained on pseudobulks simulated from reference scRNA-seq data. Before deconvolution, scRNA-seq data were filtered using scanpy.pp.filter cell function from Scanpy (<xref ref-type="bibr" rid="B40">40</xref>) with arguments min counts=200 and min genes=5. For Scaden, counts per million (CPM) of simulated pseudobulks and transcripts per million (TPMs) of bulk RNA-Seq to be deconvolved, were used.</p>
</sec>
<sec id="s2_11_2">
<title>Quantification</title>
<p>To compare murine samples, transcript counts were normalized using DESeq2 size factor estimation. Subtype-specific differential expression of transcripts was determined using a 2-fold change cut-off and an adjusted <italic>p</italic>-value &lt;0.05 (unless stated otherwise). Sex-specific differences were analyzed from BM and blood neutrophils in steady state or following infection. In addition, blood and BM neutrophils from ALA versus WT males and females were analyzed separately to examine nonsex-related effects of the disease.</p>
</sec>
<sec id="s2_11_3">
<title>Differential exon usage</title>
<p>Alternative isoform usage was detected using Nextflow nf-core/rnasplice (v1.0dev) and DEXSeq (version 1.36.0 under R version 4.0.3, using exon annotation from Ensembl version GRCm38), which analyze exon-by-exon changes in expression based on RNAseq data (<xref ref-type="bibr" rid="B41">41</xref>). A 1.5- fold change (FC) cut-off and adjusted <italic>p</italic>-value &lt;0.05 were used to determine significance.</p>
</sec>
<sec id="s2_11_4">
<title>Transcription factor inference</title>
<p>The Python version of DecoupleR (<xref ref-type="bibr" rid="B42">42</xref>) was used for TF activity estimation, which was performed using the DoRothEA database (<xref ref-type="bibr" rid="B43">43</xref>). TF-target interaction pairs were filtered from DoRothEA according to the confidence level of the annotation, and the three highest confidence levels were retained to create a predictive model for TF activity. The consensus estimates from weighted sums (wsum), univariate linear models (ulm), and multivariate linear models were used to estimate TF activity in each sample.</p>
</sec>
<sec id="s2_11_5">
<title>Clustering</title>
<p>Following removal of sex-dependent genes by differential expression analyses, the raw count matrix was subject to a variance stabilizing transformation (<xref ref-type="bibr" rid="B44">44</xref>) to address heteroskedasticity in gene counts. Heatmaps were generated using Seaborn in Python (version 3.9.7).</p>
</sec>
<sec id="s2_11_6">
<title>Enrichment analysis</title>
<p>Enrichment of pathway activation signatures was analyzed using the Python package gseapy (<xref ref-type="bibr" rid="B45">45</xref>) (v1.0.3) along with the prerank function of the gene ontology (GO) biological processes, KEGG and MSigDB databases.</p>
</sec>
<sec id="s2_11_7">
<title>Statistical analysis</title>
<p>All data were analyzed with the Shapiro-Wilk test for normal distribution prior testing for statistical differences between groups. Statistical analysis is indicated in each figure legend and was carried out using either an unpaired student&#x2019;s t test for normal distribution. For non-normal distribution, a nonparametric Mann-Whitney U test was used (GraphPad Prism V.9). Bonferroni-Dunn correction was performed to account for multiple testing. P-values are indicated as *<italic>p</italic>&lt; 0,05, **<italic>p</italic>&lt; 0,01, ***<italic>p</italic>&lt; 0,001.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Sex-specific differences in neutrophils and cytokine production during hepatic amebiasis</title>
<p>As previously shown, depletion of inflammatory Ly6C<sup>hi</sup> monocytes and neutrophils reduces liver damage in the murine model for hepatic amebiasis (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>). The same experimental design was used to study neutrophil granulocytes: Male and female mice were infected intrahepatically with <italic>E. histolytica</italic> trophozoites and examined on day 0 and day 3 post infection. (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Immunohistological examination of infected livers demonstrated greater tissue damage, massive immune cell infiltration, stronger abscess formation and a distinct margin area of Ly6G<sup>+</sup> neutrophils in males than in females (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Flow cytometry analysis identified neutrophils as Ly6G<sup>+</sup> cells out of CD11b<sup>+</sup> cells (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) and revealed higher percentages of neutrophils in the blood of naive male animals, but not in the BM and liver; after infection, a significant increase in the amounts of neutrophils in the blood of female animals and in the liver of both sexes was observed (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1D, E</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Sex-specific differences in neutrophil recruitment and cytokine production during hepatic amebiasis. <bold>(A)</bold> Illustration showing induction of amoebic liver abscess (ALA). <bold>(B)</bold> Immunohistochemical analysis of paraffin-embedded livers from male and female mice at day 3 post infection (H&amp;E: Hematoxylin &amp; Eosin; &#x3b1;-Ly6G: 7/4 mAb; &#x3b1;-<italic>E. histolytica</italic>: polyclonal serum). <bold>(C)</bold> Flow cytometry gating strategy used to identify neutrophils (CD11b<sup>+</sup>Ly6C<sup>+</sup>Ly6G<sup>+</sup>) in murine bone marrow (BM), blood, and liver. <bold>(D)</bold> Percentage and <bold>(E)</bold> relative number of Ly6G<sup>+</sup> neutrophils in BM, blood, and liver of male (m) and female (f) mice before and at day 3 postinduction of ALA. <bold>(F)</bold> Serum cytokine levels (pg/ml) in female and male mice during hepatic amebiasis (days post infection [dpi]), as measured by a bead-based immunoassay (BioLegend) (n = 6&#x2013;8/sex). <bold>(G)</bold> Percentage of TNF-&#x3b1;-, CCL2-, and CXCL1-positive neutrophils in the liver of male (m) and female (f) mice before and after ALA induction, as measured by flow cytometry. (<bold>D</bold>-Blood) (<bold>E</bold>-BM) (<bold>G</bold>-CCL2, CXCL1) p-values were calculated using a two-tailed Student&#x2019;s t test. (<bold>D</bold>-BM, Liver) (<bold>E</bold>-Blood, Liver) (<bold>G</bold>- TNF-&#x3b1;) p-values were calculated using a two-tailed Mann-Whitney-U test. <italic>(*p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001)</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1279245-g001.tif"/>
</fig>
<p>The more severe pathology in males was reflected by higher pro- and anti-inflammatory cytokine serum levels in male than in female mice (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>). Infection triggered an increase in neutrophil accumulation in the liver; these cells produced TNF-&#x3b1; (significantly higher in females after infection), CCL2, and CXCL1, and the percentage of neutrophils producing CXCL1 was significant higher in males and females compared to uninfected mice (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1G</bold>
</xref>). In addition, phagocytic capacity (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1A, B</bold>
</xref>), production of reactive oxygen species (ROS) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1C, D</bold>
</xref>) as well as myeloperoxidase (MPO) production (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1E, F</bold>
</xref>) as assayed on BM-derived neutrophils, was not significant higher in female neutrophils than in male counterparts (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>). In summary, amoebic infection of the liver results in a higher prevalence of neutrophilic granulocytes in male mice.</p>
</sec>
<sec id="s3_2">
<title>Effect of testosterone on neutrophil accumulation and maturation during hepatic amebiasis</title>
<p>To study the impact of testosterone on neutrophil dynamics during <italic>E. histolytica</italic> infection, male mice underwent gonadectomy and then received either testosterone or a carrier solution for two more weeks before being infected intrahepatic with <italic>E. histolytica</italic> (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Gonadectomy of male mice significantly reduced the number of neutrophils, regardless of infection (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). In contrast, testosterone substitution in gonadectomized na&#xef;ve male mice resulted in a marked increase in neutrophil abundance in the blood and tended to increase in the liver as well. (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). A similar effect on neutrophils was observed in female individuals substituted with testosterone (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). qPCR analysis of blood leukocytes revealed increased AR and reduced Ly6G mRNA expression in males following gonadectomy, whereas testosterone treatment reduced expression of AR mRNA and increased expression of Ly6G mRNA in females (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>). Consequently, there was a correlation between expression of both, AR and Ly6G (R<sup>2&#xa0;=&#xa0;</sup>0,1077; <italic>p</italic> &lt; 0.05) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2G</bold>
</xref>). Further, sex-specific correlation analyses are provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2C, D</bold>
</xref>. Next, we analyzed the expression of CD54<sup>+</sup> (inflammatory N1) and PD-L1<sup>+</sup> (anti-inflammatory N2) on neutrophils (CD11b<sup>+</sup>Ly6C<sup>+</sup>Ly6G<sup>+</sup>) (scheme and representative FACS Plots are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2A, B</bold>
</xref>). The amount of N1 neutrophils increased after infection in the BM, blood and liver in female individuals, as well as in the BM and the liver in males (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2H</bold>
</xref>). N2 neutrophils showed a similar pattern as N1, with the greatest quantities in the liver in both sexes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2I</bold>
</xref>). No significant differences were found in N1 neutrophils following gonadectomy and testosterone substitution. Only a slight decrease in the BM following infection as well as in the blood and the liver following testosterone substitution and infection was observed (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2J</bold>
</xref>). Although not significant, N2 neutrophils are increased in the blood in naive gonadectomized and infected male mice upon testosterone treatment, and increased in gonadectomized and testosterone substituted mice in the liver upon infection (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2K</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Impact of gonadectomy and testosterone substitution on neutrophil recruitment and phenotype characteristics during ALA. <bold>(A)</bold> Illustration of the testosterone substitution study. <bold>(B)</bold> Percentage of neutrophils (CD11b<sup>+</sup>Ly6C<sup>+</sup>Ly6G<sup>+</sup>) in the blood and liver of gonadectomized (G) male mice before and after (0 and 3 days post infection [dpi]) with <italic>E</italic>. <italic>histolytica</italic>, as measured by flow cytometry. <bold>(C)</bold> Percentage of neutrophils in the blood and liver of G and testosterone-substituted (T) male mice at 0 and 3 dpi with <italic>E</italic>. <italic>histolytica</italic>, as measured by flow cytometry. <bold>(D)</bold> Percentage of neutrophils in the blood and liver of T female mice at 0 and 3 dpi, as measured by flow cytometry. Expression of mRNA encoding <bold>(E)</bold> androgen receptor (AR1) and <bold>(F)</bold> Ly6G by blood leukocytes from na&#xef;ve, sham-operated, or castrated male mice, and female mice, treated with carrier solution or testosterone, as measured by RT-qPCR. <bold>(G)</bold> Correlation between AR and Ly6G mRNA expression by isolated murine blood cells. Percentage of N1 <bold>(H)</bold> and N2 <bold>(I)</bold> neutrophils in the BM, blood, and liver of males and females on day 3 post infection with <italic>E</italic>. <italic>histolytica.</italic> Percentages of N1 <bold>(J)</bold> and N2 <bold>(K)</bold> neutrophils following male gonadectomy (G) and testosterone (T) substitution. <bold>(L, M)</bold>. Deconvolution analysis showing the neutrophil maturity stage (G2, G3, G4, G5a, G5b and G5c) of male and female mice in na&#xef;ve- or ALA conditions. Analysis was performed for neutrophils derived from bone marrow <bold>(K)</bold> and blood <bold>(L)</bold>. <bold>(B, D, E, I)</bold> p-values were calculated using a two-tailed Student&#x2019;s t test <bold>(C, F, H, J, K)</bold> p-values were calculated using a two-tailed Mann-Whitney-U test (*<italic>p</italic> &lt; 0.05, **<italic>p</italic> &lt; 0.01, ***<italic>p</italic> &lt; 0.001). <bold>(G)</bold> A two-tailed Pearson&#x2019;s correlation coefficient with simple linear regression (*<italic>p</italic> &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1279245-g002.tif"/>
</fig>
<p>
<italic>Ex vivo</italic> exposure of isolated BM-derived neutrophils increased expression of CD54 (N1) and PD-L1 (N2) following LPS stimulation in both sexes and increased production of TNF-&#x3b1; in males following stimulation with amoebic antigens (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;3A&#x2013;C</bold>
</xref>).</p>
<p>Based on the data published by Kim et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>) and the nomenclature of Xie et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>), deconvolution analysis was performed to investigate further maturation stages. Pre-neutrophils (G2) were present in the BM but not in the blood. Immature neutrophils (G3) increased after infection. Mature neutrophils (G4) and ISG-expressing neutrophils (G5b (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B38">38</xref>);) significantly increased in infected females&#x2019; BM and blood. Late-mature neutrophils (G5a, G5c; migration &amp; inflammatory responses (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B38">38</xref>);) decreased in the BM and in the blood in females during infection but increased in males after infection (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2L, M</bold>
</xref>).</p>
<p>In summary, not all neutrophil granulocytes meet the N1- and N2-like definitions and testosterone further suppresses both of them in the blood during infection. Females tend to have a higher proportion of N1 and N2 neutrophils in the blood and liver, and deconvolution analysis revealed that a higher number of mature neutrophils (G4) is found in females and G5a neutrophils are higher in males during <italic>E. histolytica</italic> infection in the blood.</p>
</sec>
<sec id="s3_3">
<title>Overall gene expression is different in BM neutrophils and blood neutrophils</title>
<p>To assess sex-specific differences in neutrophils at the transcriptomic level, we conducted a differential expression analysis of neutrophils isolated from BM and blood samples from both male and female mice. Due to the extremely low number of neutrophils in the female liver (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>), we did not sufficient amounts of RNA required for high throughput sequencing. Our analysis revealed major differences in gene expression profiles during infection, with a focus on differentially expressed genes (DEGs) exhibiting a log-fold change (FC) &gt; 1.5 and a p-adjusted &lt; 0.01. The results are depicted in <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;D</bold>
</xref>. In BM-derived neutrophils, we identified 413 DEGs in males and 472 DEGs in females during infection, when compared to uninfected controls. In blood-derived neutrophils, 40 DEGs were observed in males, and 254 DEGs were identified in females during infection (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A-D</bold>
</xref>). A detailed list of all DEGs is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 4</bold>
</xref>. Infection-dependent differences in the expression of genes were more prominent in blood compared to BM-derived neutrophils from male and female mice. The differential changes of male ALA versus na&#xef;ve and female ALA versus na&#xef;ve show similar expression changes (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). We visualized the normalized expression values of the DEGs in two heatmaps (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>, right side) for bone marrow to compare expression levels across conditions and sexes. Although the differences were not strongly pronounced, they were discernible in individual samples and between the sexes. For instance, a subcluster was observed in the female ALA versus naive comparison that was distinct from the male cluster, indicated in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>, that is not visible in the male comparison of BM (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). In blood neutrophils, infection led to a more pronounced upregulation of genes, with females showing higher activation in the infected phase (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>) compared to expression changes in males (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Female blood neutrophils displayed upregulated expression of <italic>Arg1</italic> (FC = 4.11; padj &lt; 0.01), a gene associated with N2-like neutrophils (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The heatmaps depict a rather homogenous distribution of gene expression levels throughout the samples. Further, Volcano plots stratified by sex illustrated lower expression in male ALA BM-derived neutrophils than in uninfected BM-derived neutrophils. Notably, sex differences were more pronounced in blood compared to BM-derived neutrophils from both male and female mice (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;4&#xa0;A, B</bold>
</xref>). In Venn diagrams, we observed that a lower number of DEGs were down-regulated in male BM-derived neutrophils (249/413) compared to females (322/472) during infection. Conversely, more DEGs were upregulated in male neutrophils (164/413). In blood neutrophils, we found fewer downregulated DEGs in males (17/40) than in females (131/254), while more upregulated DEGs were observed in females (123/254) than in males (23/40) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Transcription and Pathway analyses and maturity stage of BM- and blood neutrophils. Volcano plots show differential expression of genes in infected versus uninfected BM-derived <bold>(A, B)</bold> and blood-derived <bold>(C, D)</bold> neutrophils from male and female mice. X-axis: log2-fold change (FC); Y-axis: negative log padj of each gene. DESeq2 was used to calculate FC and padj (left side = low in infection, right side = high in infection). The Heatmap depicts the top differentially expressed genes from the Volcano Plot in both sexes. <bold>(E)</bold> Venn diagrams: for each condition and neutrophil origin. <bold>(F, G)</bold> Top 20 pathways showing the most significant differential changes in gene expression between ALA and WT mice for females (f) <bold>(D)</bold> and males (m) <bold>(E)</bold> Bar plots showing the z-scores for each pathway (activation versus suppression).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1279245-g003.tif"/>
</fig>
<p>We also investigated the infection-related enrichment of general signal transduction pathways and depicted the top 20 pathways of GO biological processes (GOBP). A detailed list of all GOBP is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 1</bold>
</xref>. These were separated into females (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>) and males (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>). In BM-derived neutrophils, infection was associated with the upregulation of pathways related to biosynthetic processes and increased cell proliferation. In contrast, blood neutrophils exhibited strong activation of pathways related to type I and type II interferon signaling. In summary, during infection, more genes, especially ISGs, were upregulated in blood neutrophils compared with BM-derived neutrophils, with greater activation of gene expression in female neutrophils (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3F, G</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Sex differences in the induction of type I and type II ISGs in neutrophils from the BM and blood</title>
<p>Since interferon signaling is important for pathogen elimination, we next focused on sex- and infection-dependent expression of type I and type II ISGs in BM and Blood neutrophils (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B31">31</xref>) (included ISGs are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 5</bold>
</xref>). Overall, female BM-derived neutrophils showed higher expression of type I ISGs under steady state conditions (BM and blood, <italic>Oas2, Ifih1, Rsad2</italic>), whereas a subset of ISGs was also highly regulated in their male counterparts (BM, <italic>Ddit4, Slc25a28, Trim30b, Irf1</italic>, <italic>Jade 2;</italic> Blood<italic>, Ssbp3</italic>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). During infection, more ISGs were upregulated in female (comparison ALA <italic>vs</italic> naive) blood neutrophils than in male samples (comparison ALA <italic>vs</italic>. naive), whereas a downregulation of ISGs was observed in male neutrophils and no changes were found in female BM neutrophils (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Type II ISGs in BM neutrophils showed less pronounced sex differences under steady state conditions, however, expression of chemokines involved in adhesion and recruitment of neutrophils was higher in male-derived neutrophils. In blood neutrophils, in the steady state (e.g. <italic>Myc, H2-DMb2, H2-M3, H2-Q7</italic>&#x2026;) but also during infection e.g. <italic>Cxcl10, H2-D1, C4a, Psme1, Stat1, Psme2</italic>, more genes were upregulated in neutrophils from female mice. However, one set of type II ISGs was also upregulated in male-derived neutrophils following infection e.g. <italic>Casp1, CtsI, Ccl2</italic> (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). An additional illustration, showing organ-and sex-specific comparative analysis of ISGs, is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;4C, D</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Sex differences in expression of type I- and type II-associated interferon-stimulated genes (ISGs). Heatmaps showing regulation of type I <bold>(A)</bold> - and type II <bold>(B)</bold> regulated ISGs in bone marrow (BM) and blood-derived neutrophils. Samples are grouped by condition (naive or ALA) and sex (male or female); red = up-, blue = downregulated. <bold>(C)</bold> DEU plots comparing gene expression in bone marrow neutrophils from naive female and male mice from selected ISGs. Significantly different exon transcripts (padj &#x2264; 0.05) are shown in purple. <bold>(D)</bold> Heatmaps showing regulation of transcription factors (TFs) in neutrophil from BM and blood. Samples are grouped by condition (naive or ALA) and sex; red = upregulation, blue = downregulation). <bold>(E)</bold> DEU plot for the TFs Stat1 and Stat4. Comparison between sexes neutrophils from naive BM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1279245-g004.tif"/>
</fig>
<p>Differential exon usage (DEU) is a type of alternative splicing that involves differential inclusion or exclusion of one or more exons from the mature mRNA transcript of a gene. The differential exon usage is calculated comparing infected versus na&#xef;ve samples for males and females separately (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4C, E</bold>
</xref>). The figures show the fitted expression values (model effect estimates) of the comparisons for each of the exons of the genes for male (blue) and female (red).</p>
<p>We obtained 90 (female) and 1 (male) DEU for blood female and male, respectively, while female and male BM had 42 and 3 DEU, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). The three ISGs (<italic>Oas2</italic>, <italic>Ifih1</italic>, and <italic>Samhd1</italic>) showed a higher fitted expression of exons in females than in males BM neutrophils (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). Interestingly, the number of DEUs was higher in BM- and blood neutrophils from females than males, suggesting a more versatile rearrangement and reaction to infection in females.</p>
<p>Furthermore, we aimed to gain insight into the transcription factor changes that might explain differential gene regulation in sex-specific transcriptional profiles in blood and BM neutrophils. We employed transcription factor interference to analyze the activity profiles of ISG-related transcription factors (TFs) and identified differentially activated TFs (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). We found that <italic>Irf2</italic>, <italic>Irf1</italic>, and <italic>Stat2</italic> exhibited female-specific upregulation in infected BM, while their expression was upregulated in blood of both, male and female, under disease conditions. <italic>Creb3</italic> was downregulated in uninfected female blood samples and downregulated for uninfected male samples of BM (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). Additionally, a higher activity of <italic>Stat1</italic> and <italic>Stat4</italic> in female BM-derived neutrophils at steady state could be detected. This was verified by a higher <italic>Stat1/Stat4</italic> exon expression in female BM neutrophils under steady state conditions (only the part that changes significantly are shown) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>).</p>
<p>In conclusion, type I ISGs are more highly expressed in female neutrophils in the blood, independent of infection. The expression of type II ISGs of neutrophils in blood is higher in female than in those of male individuals both in the naive state and after infection. Furthermore, the high number of DEUs in BM- and blood neutrophils from females suggest a more versatile rearrangement and reaction to infection in females.</p>
</sec>
<sec id="s3_5">
<title>Sex difference in viperin/RSAD2 protein production by neutrophils</title>
<p>We have observed increased expression of type I ISGs at the transcriptional level, we were now interested in studying the expression and testosterone dependence of a prototypical ISG. For this purpose, we chose one of the best-studied ISGs, the viperin/RSAD2 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>) and analyzed it by flow cytometry (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Upon infection, RSAD2-expressing neutrophils significantly increased in both sexes in the blood (<italic>***p &lt; 0.001</italic>) and the liver (*<italic>p&lt; 0.05</italic> (males); <italic>***p &lt; 0.001</italic> (females)) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). Following testosterone substitution of female mice, a noticeable trend towards decreased RSAD2-expressing neutrophils from blood, but not the liver, was observed after infection (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>). Unlike in mice, we found no sex difference in the percentage of peripheral neutrophils (FACS Plot of human neutrophils expressing RSAD2, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>) between men and women (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>), however, RSAD2 expression by neutrophils from women was significantly higher after stimulation with PMA compared to unstimulated neutrophils (*<italic>p&lt;0.05</italic>, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5G</bold>
</xref>). After stimulation with LPS or CL097, a tendency for higher RSAD2 production was observed in female neutrophils compared with male neutrophils (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5G</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Expression of RSAD2 by neutrophils from mice and men. <bold>(A)</bold> RSAD2-Reads per Kilobase Million (RPKM) from murine blood of naive (F+M) and infected (amebic liver abscess/ALA) neutrophils. <bold>(B)</bold> Isotype and RSAD2 intracellular staining of blood and liver -derived neutrophil. <bold>(C)</bold> Histogram of RSAD2-expressing neutrophils from male and female mice and MFI of RSAD2<sup>+</sup> expression in neutrophils from blood and liver and <bold>(D)</bold> Histogram of RSAD2-expressing neutrophils from placebo (P) and testosterone (T) substituted female mice (0 and 3 days post infection [dpi]). <bold>(E)</bold> Gating strategy to identify human neutrophils (CD66b<sup>+</sup>CD16<sup>+</sup>) expressing RSAD2 following stimulation. <bold>(F)</bold> Percentage of human neutrophils in men and women in peripheral blood. <bold>(G)</bold> Percentage of RSAD2<sup>+</sup> from blood-derived human neutrophils following 4 hours incubation with different stimulants. <bold>(C, D)</bold> <italic>p</italic>-values were calculated using a two-tailed Student&#x2019;s t test <italic>(*p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001</italic>). <bold>(A, F, G)</bold>. Mann-Whitney U Test *<italic>p &lt; 0,05</italic> and <bold>(F, G)</bold> Wilcoxon-Rank-Sum-test (*<italic>p &lt; 0.05; **p &lt; 0.01</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1279245-g005.tif"/>
</fig>
<p>In conclusion, male neutrophil granulocytes exhibit lower type I ISG RSAD2 expression compared to females, which is likely influenced by testosterone.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present study, we focused on sex differences and the effect of testosterone on neutrophil granulocytes in a mouse model of hepatic amebiasis. The first striking results became apparent when we compared the percentages of neutrophils in male and female mice in different organs. Already in na&#xef;ve mice, we observed higher neutrophil amounts in the blood of males than in females without apparent difference in BM and liver. Following intrahepatic infection, this sex-related difference in neutrophil numbers was present in all organs. Previous investigations showed that testosterone modulates accumulation and recruitment of neutrophils, independent of infection-associated stimuli or site of infection (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>), a finding that we were able to verify in this study. In the context of human studies, a higher count of neutrophil granulocytes was observed in the blood of males compared to females under healthy conditions, which aligns with the results obtained from the mouse experiments. However, within the same study, a greater percentage of neutrophils was identified in the blood of females. Notably, this proportion exhibited an age-dependent decline, becoming markedly reduced around the age of 50 years (<xref ref-type="bibr" rid="B49">49</xref>). An explanation for this phenomenon can be derived from another study demonstrating an anti-apoptotic influence of estrogens on neutrophils (<xref ref-type="bibr" rid="B50">50</xref>). The androgen receptor (AR), located on the x chromosome, is broadly expressed by all neutrophil lineages (<xref ref-type="bibr" rid="B51">51</xref>) and it has been shown that androgens not only stimulate proliferation of neutrophils and their precursors <italic>in vitro</italic> (<xref ref-type="bibr" rid="B52">52</xref>), but also accelerate recovery of neutrophil numbers <italic>in vivo</italic> following immunosuppressive therapies (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>) and more recently in a testosterone dose-response study in men (<xref ref-type="bibr" rid="B55">55</xref>). The observed increase in neutrophil frequencies in female mice following testosterone substitution in this study supports this direct effect of testosterone.</p>
<p>Since parasite growth in the liver is controlled more quickly in female mice (<xref ref-type="bibr" rid="B22">22</xref>), the higher number of neutrophils in males could be attributed to prolonged inflammatory processes due to parasite persistence and a general, androgen-dependent immunosuppressive effect on neutrophils. Increased expression of CXCL1 by neutrophils during ALA may support the hypothesis of inefficient initial infection control in males, leading to further excessive recruitment of neutrophils. Moreover, the anti-infection activity of these recruited neutrophils is presumably hampered because androgens modulate a variety of immune regulatory functions, including degranulation and ROS production, as well as promoting production of anti-inflammatory cytokines such as TGF-&#x3b2;1 or IL-10 (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>Over the past years, studies show that neutrophils possess greater functional diversity than previously assumed. In an attempt to better estimate sex-specific and infection-specific differences in neutrophils, we analyzed the neutrophils according to the proinflammatory N1-like and anti-inflammatory N2 phenotype (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Unlike in the tumor environment, immature neutrophils (N0) expressing CD117 accounted for only a very small proportion of total neutrophils (&lt;5%), mainly in bone marrow but also in blood and liver of naive animals, and were therefore not examined in detail in this study. The greatest increase in the percentage of N1- and N2-like neutrophils was found in the blood and liver of infected female mice and in the liver of infected male mice, indicating that neutrophils were most specifically polarized in the liver. Depletion of androgens by gonadectomy reduced the number of immature neutrophils in the BM, and testosterone reduced N1/N2 polarization of neutrophils in the blood, both before and during infection (compared with gonadectomized mice). Deconvolution analysis provided additional insight into the maturity state of neutrophils according to the nomenclature of Xie (<xref ref-type="bibr" rid="B17">17</xref>). The more premature phenotypes of neutrophil granulocytes (G2, G3, and G4) are found primarily in bone marrow. Compared to BM neutrophils, blood neutrophils have a high proportion of mature G5a, G5b, and G5c phenotypes, an observation also confirmed by Xie et&#xa0;al. It has been described that the G5b maturation state has a high ISG signature (<xref ref-type="bibr" rid="B17">17</xref>), which supports the results and data we obtained in this work. Furthermore, we examined the transcriptome of neutrophils from infected male and female mice, and focused on sex differences in type I and type II interferon (IFN) pathways. Type I IFNs (IFN-&#x3b1;, IFN-&#x3b2;, IFN-&#x3f5;, IFN-&#x3ba;) play important roles in neutrophil biology by signaling via a common receptor interferon-&#x3b1;/&#x3b2; receptor (IFNAR), thereby inducing expression of several hundred ISGs (<xref ref-type="bibr" rid="B58">58</xref>). These IFNs regulate the oxidative burst and formation of extracellular traps, enhance production of IL-6 and <italic>TNF</italic> mRNA in male human neutrophils upon TLR7/8 stimulation, despite similar expression of their receptor in male and females (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). By comparing induction of ISGs, we found striking sex differences between neutrophils from the BM and blood. In the blood under steady state conditions, upregulation of type I ISGs was higher in neutrophils from females than in males. This difference was more pronounced following infection. In blood neutrophils, type I ISGs were more upregulated in females compared to males following infection, suggesting a less activated phenotype in males.</p>
<p>In humans, greater upregulation of type I ISGs was observed in neutrophils from healthy adult women compared with men including expression of RSAD2 on the mRNA level (<xref ref-type="bibr" rid="B16">16</xref>). Here we found that RSAD2 expression on the protein level is also higher in women compared to men and downregulated by testosterone in mice. Some studies have indicated that Viperin expression can be induced in response to parasitic infections, suggesting that it might have a broader antiparasitic role beyond its well-established antiviral function. For example, research has shown increased RSAD2 expression in response to infections caused by protozoan parasites like <italic>Toxoplasma gondii</italic> (<xref ref-type="bibr" rid="B61">61</xref>) and <italic>Plasmodium falciparum</italic> (<xref ref-type="bibr" rid="B62">62</xref>), respectively. However, the specific interactions between RSAD2 and parasites and the extent of its influence on parasitic infections require further investigation.</p>
<p>By contrast, regulation of type II ISGs (<xref ref-type="bibr" rid="B30">30</xref>), is less clearly associated with infection, and essentially two groups were identified in blood neutrophils: one in which genes are upregulated under steady state conditions and downregulated in the infectious state and a second in which the opposite occurred.</p>
<p>One ISG group of interest is associated with leukocyte migration; these include IP-10, CCL2, and CCL3. The levels of these chemokines in blood serum were analyzed in the present study, in addition to transcriptional analysis. These molecules are known chemoattractants for monocytes (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>) and neutrophils (<xref ref-type="bibr" rid="B23">23</xref>) and are present in the type II ISG heatmaps.</p>
<p>In summary, we found sex-specific differences in neutrophils, including recruitment behavior, maturation stage, and variations in transcription factors and ISGs like RSAD2, which are partly influenced by androgens. The less activated and mature state of male murine neutrophils results in prolonged survival of amoebic trophozoites, leading to a deleterious cycle that contributes to liver destruction.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: GSE242045 (GEO).</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Medical association Hamburg (permission number: 2020-10067-BO). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. The animal studies were approved by Federal health authorities of the State of Hamburg (permission numbers: N51/17; N120/2020). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ME: Data curation, Formal Analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. SH: Data curation, Formal Analysis, Methodology, Software, Supervision, Writing &#x2013; review &amp; editing. MR: Data curation, Investigation, Methodology, Validation, Visualization, Writing &#x2013; review &amp; editing. DM: Formal Analysis, Investigation, Methodology, Validation, Writing &#x2013; review &amp; editing. FH: Data curation, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; review &amp; editing. RK: Data curation, Formal Analysis, Methodology, Software, Validation, Visualization, Writing &#x2013; review &amp; editing. CH: Formal Analysis, Investigation, Methodology, Validation, Writing &#x2013; review &amp; editing. JB: Formal Analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. VB: Formal Analysis, Methodology, Validation, Writing &#x2013; review &amp; editing. BH: Methodology, Supervision, Validation, Writing &#x2013; review &amp; editing. AB: Methodology, Formal Analysis; Validation, review &amp; editing. MG: Investigation, Methodology, Validation, Writing &#x2013; review &amp; editing. HF: Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. CM: Methodology, Visualization, Writing &#x2013; review &amp; editing. DC: Data curation, Formal Analysis, Methodology, Software, Validation, Writing &#x2013; review &amp; editing. SB: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Resources, Software, Supervision, Validation, Writing &#x2013; review &amp; editing. JS: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x2013; review &amp; editing. HL: Conceptualization, Data curation, Funding acquisition, Investigation, Project administration, Resources, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the German Research Foundation (DFG) Research Unit 5068 - Sex differences in immunity and the SFB841 - Liver inflammation: Infection, immune regulation and consequences. SH was supported by the German Research Foundation (DFG) SFB1192 B8, SB by KFO306 P11, RK by the M3I excellence initiative, FH by FOR5068 P9 and a UKE postdoctoral stipend, and SB by KFO306 and FOR5068.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Heike Baum of the NGS Facility for the technical conduct of the sequencing, the staff of the BNITM animal facility for excellent animal care, and Ralf Krumkamp for his help with statistical analysis. We would like to thank <uri xlink:href="https://BioRender.com">BioRender.com</uri> for their contribution to the creation of the illustrations.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2023.1279245/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1279245/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Table_1.xlsx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_2.xlsx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_3.xlsx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_4.xlsx" id="ST4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_5.xlsx" id="ST5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>
<italic>E. histolytica, Entamoeba histolytica</italic>; ALA, amebic liver abscess; WT, wildtype; BM, bone marrow; HE, haematoxylin &amp; eosin; <italic>Ly6G</italic>, Lymphocyte antigen 6 complex locus G6D; Ly6C Lymphocyte antigen 6 complex locus 6C2; TNF, tumor necrosis factor; CCL2, (C-C motif) ligand 2; CD, cluster of differentiation; CXCL1, (C-X-C motif) ligand; TAN, Tumor Associated Neutrophils; ISGs, Interferon stimulated genes; DEG, Differential Gene Expression; DEU Differential Exon Usage; viperin, Virus-inhibitory protein, endoplasmic reticulum-associated, interferon-inducible; RSAD2, radical SAM domain-containing protein 2.</p>
</fn>
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