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<front>
<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>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1124011</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>The impact of hepatocyte-specific deletion of hypoxia-inducible factors on the development of polymicrobial sepsis with focus on GR and PPAR&#x3b1; function</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Vanderhaeghen</surname>
<given-names>Tineke</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1093568"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Timmermans</surname>
<given-names>Steven</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/700333"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eggermont</surname>
<given-names>Melanie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/833005"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Watts</surname>
<given-names>Deepika</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1388087"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vandewalle</surname>
<given-names>Jolien</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/667817"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wallaeys</surname>
<given-names>Charlotte</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nuyttens</surname>
<given-names>Louise</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>De Temmerman</surname>
<given-names>Joyca</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hochepied</surname>
<given-names>Tino</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dewaele</surname>
<given-names>Sylviane</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Berghe</surname>
<given-names>Joke Vanden</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sanders</surname>
<given-names>Niek</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/308566"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wielockx</surname>
<given-names>Ben</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/482896"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Beyaert</surname>
<given-names>Rudi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/423881"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Libert</surname>
<given-names>Claude</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/418674"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Flanders Institute for Biotechnology (VIB) Center for Inflammation Research</institution>, <addr-line>Ghent</addr-line>, <country>Belgium</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biomedical Molecular Biology, Ghent University</institution>, <addr-line>Ghent</addr-line>, <country>Belgium</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Clinical Pathobiochemistry, Institute for Clinical Chemistry and Laboratory Medicine, Technische Universit&#xe4;t Dresden</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Deutsche Forschungsgemeinschaft (DFG) Research Centre and Cluster of Excellence for Regenerative Therapies Dresden, Technische Universit&#xe4;t Dresden</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Nutrition, Genetics, and Ethology, Faculty of Veterinary Medicine, Ghent University</institution>, <addr-line>Ghent</addr-line>, <country>Belgium</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pathology, Bacteriology, and Avian Diseases, Faculty of Veterinary Medicine, Ghent University</institution>, <addr-line>Ghent</addr-line>, <country>Belgium</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Eduardo L&#xf3;pez-Collazo, University Hospital La Paz Research Institute (IdiPAZ), Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Edward Sherwood, Vanderbilt University Medical Center, United States; Manuela Mengozzi, Brighton and Sussex Medical School, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Claude Libert, <email xlink:href="mailto:Claude.Libert@irc.vib-ugent.be">Claude.Libert@irc.vib-ugent.be</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Molecular Innate Immunity, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1124011</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Vanderhaeghen, Timmermans, Eggermont, Watts, Vandewalle, Wallaeys, Nuyttens, De Temmerman, Hochepied, Dewaele, Berghe, Sanders, Wielockx, Beyaert and Libert</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Vanderhaeghen, Timmermans, Eggermont, Watts, Vandewalle, Wallaeys, Nuyttens, De Temmerman, Hochepied, Dewaele, Berghe, Sanders, Wielockx, Beyaert and Libert</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>
<sec>
<title>Introduction</title>
<p>Polymicrobial sepsis causes acute anorexia (loss of appetite), leading to lipolysis in white adipose tissue and proteolysis in muscle, and thus release of free fatty acids (FFAs), glycerol and gluconeogenic amino acids. Since hepatic peroxisome proliferator-activated receptor alpha (PPAR&#x3b1;) and glucocorticoid receptor (GR) quickly lose function in sepsis, these metabolites accumulate (causing toxicity) and fail to yield energy-rich molecules such as ketone bodies (KBs) and glucose. The mechanism of PPAR&#x3b1; and GR dysfunction is not known.</p>
</sec>
<sec>
<title>Methods &amp; results</title>
<p>We investigated the hypothesis that hypoxia and/or activation of hypoxia inducible factors (HIFs) might play a role in these issues with PPAR&#x3b1; and GR. After cecal ligation and puncture (CLP) in mice, leading to lethal polymicrobial sepsis, bulk liver RNA sequencing illustrated the induction of the genes encoding HIF1&#x3b1; and HIF2&#x3b1;, and an enrichment of HIF-dependent gene signatures. Therefore, we generated hepatocyte-specific knock-out mice for HIF1&#x3b1;, HIF2&#x3b1; or both, and a new HRE-luciferase reporter mouse line. After CLP, these HRE-luciferase reporter mice show signals in several tissues, including the liver. Hydrodynamic injection of an HRE-luciferase reporter plasmid also led to (liver-specific) signals in hypoxia and CLP. Despite these encouraging data, however, hepatocyte-specific HIF1&#x3b1; and/or HIF2&#x3b1; knock-out mice suggest that survival after CLP was not dependent on the hepatocyte-specific presence of HIF proteins, which was supported by measuring blood levels of glucose, FFAs, and KBs. The HIF proteins were also irrelevant in the CLP-induced glucocorticoid resistance, but we found indications that the absence of HIF1&#x3b1; in hepatocytes causes less inactivation of PPAR&#x3b1; transcriptional function.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>We conclude that HIF1&#x3b1; and HIF2&#x3b1; are activated in hepatocytes in sepsis, but their contribution to the mechanisms leading to lethality are minimal.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sepsis</kwd>
<kwd>hypoxia</kwd>
<kwd>detection</kwd>
<kwd>metabolism</kwd>
<kwd>glucocorticoids (GCs)</kwd>
<kwd>PPARalpha</kwd>
</kwd-group>
<contract-sponsor id="cn001">Bijzonder Onderzoeksfonds UGent<named-content content-type="fundref-id">10.13039/501100007229</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Fonds Wetenschappelijk Onderzoek<named-content content-type="fundref-id">10.13039/501100003130</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Fonds Wetenschappelijk Onderzoek<named-content content-type="fundref-id">10.13039/501100003130</named-content>
</contract-sponsor>
<contract-sponsor id="cn004">Fonds Wetenschappelijk Onderzoek<named-content content-type="fundref-id">10.13039/501100003130</named-content>
</contract-sponsor>
<contract-sponsor id="cn005">Fonds Wetenschappelijk Onderzoek<named-content content-type="fundref-id">10.13039/501100003130</named-content>
</contract-sponsor>
<contract-sponsor id="cn006">Bijzonder Onderzoeksfonds UGent<named-content content-type="fundref-id">10.13039/501100007229</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="95"/>
<page-count count="18"/>
<word-count count="8615"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to an infection. Despite intensive research, increased awareness and medical improvement, sepsis and septic shock remain an important cause of morbidity and mortality in the intensive care units (ICUs) worldwide (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The annual global incidence of sepsis is 48,9 million cases with 11 million sepsis-related deaths (<xref ref-type="bibr" rid="B3">3</xref>). The current management of sepsis is supportive rather than curative and focusses on controlling the infection, fluid resuscitation, and vasopressor treatment and mechanical support of failing organs (<xref ref-type="bibr" rid="B4">4</xref>). Although a lot of clinical trials with immunomodulatory therapies have been performed, none of these therapies have demonstrated survival benefit. The lack of successful, innovative therapeutics might be attributed to the fact that not only a dysregulated inflammatory response, but other pathways, such as metabolic alterations, might also play an important role (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Sepsis pathogenesis is characterized by inflammation, immune activation, the acute-phase response, fever, tachycardia and tachypnea, complement activation, and coagulopathy, all of which require a supraphysiological amount of energy (<xref ref-type="bibr" rid="B7">7</xref>). Regardless of their increased energy needs, sepsis patients are often unable or unwilling to eat leading to a negative energy balance. Therefore, it is suggested that a starvation response (SR) is induced in sepsis patients (<xref ref-type="bibr" rid="B8">8</xref>). When a SR is initiated, carbohydrate and fat reserves are broken down in the liver and muscle, and white adipose tissue (WAT), respectively, to generate ATP and release high-energy metabolites e.g. lactate, free fatty acids (FFAs) and ketone bodies (KBs) (<xref ref-type="bibr" rid="B9">9</xref>). These processes are mainly controlled by two transcription factors, namely the glucocorticoid receptor (GR) and the peroxisome proliferator-activated receptor alpha (PPAR&#x3b1;) on a transcriptional level (<xref ref-type="bibr" rid="B7">7</xref>). However, GR and PPAR&#x3b1; become dysfunctional during sepsis, and so the amounts of glycogen, WAT, and muscle mass rapidly decline, while blood levels of FFAs, glycerol, amino acids (AAs), and lactate increase (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). This correlates with disease severity and lethality in sepsis patients and animals (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>), and learns us that the SR in sepsis might be failing.</p>
<p>On the one hand, a fast and progressive failure of GR functioning leading to GC resistance (GCR) in the liver and in other organs during sepsis contributes to the failing SR. This GCR is strongly associated with a reduced GR DNA-binding capacity and causes a dysfunctional gluconeogenesis in hepatocytes, which leads to hypoglycemia and lactate accumulation in the blood. High lactate levels are not toxic by themselves, but are highly lethal when GCR is present (<xref ref-type="bibr" rid="B10">10</xref>). We have also demonstrated that TNF-mediated GCR can be a result of the sequestration of co-factor p300 to NF-&#x3ba;B, thereby preventing its accessibility to GR (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>Sepsis is also characterized by a PPAR&#x3b1; dysfunction in the liver. This dysfunction can, in part, be explained by a rapid decline of hepatic PPAR&#x3b1; mRNA and protein levels, which lead to a reduced expression of its target genes involved in FFA &#x3b2;-oxidation and ketogenesis (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>). As a consequence of PPAR&#x3b1; malfunctioning, ectopic deposition of lipids in the liver and kidney occur during sepsis and thereby cause lipotoxicity and tissue damage rather than production of energy (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Besides GR and PPAR&#x3b1; dysfunction, sepsis is also characterized by fundamental shifts in tissue metabolism in combination with a decreased tissue perfusion and edema. This might result in decreased oxygen delivery to cells and tissue hypoxia during sepsis (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The master regulators involved in oxygen homeostasis are hypoxia-inducible factors (HIFs). HIFs are heterodimeric transcription factors consisting of an &#x3b1;- and &#x3b2;-subunit. Three &#x3b1;-subunits are known, namely HIF1&#x3b1;, HIF2&#x3b1;, and HIF3&#x3b1;, of which its expression is known to be oxygen-sensitive, while the &#x3b2;-subunit is constitutively expressed. Under normal oxygen levels, HIF&#x3b1; subunits are hydroxylated by prolyl-4-hydroxylases (PHDs) leading to the binding of the von Hippel-Lindau protein (pVHL) and 26S proteasome degradation. Under hypoxic conditions, or in the absence of its co-factors Fe<sup>2+</sup>, &#x3b1;-ketoglutarate (&#x3b1;-KG) or vitamins, PHDs are inactivated and HIF&#x3b1; hydroxylation is inhibited (<xref ref-type="bibr" rid="B19">19</xref>). Besides reduced oxygen availability, inflammation also inhibits PHD activity and will promote the transcription of HIF1&#x3b1; mRNA and HIF activity (<xref ref-type="bibr" rid="B20">20</xref>). Once HIF proteins are stabilized, they will regulate the expression of genes involved in glucose metabolism (<xref ref-type="bibr" rid="B21">21</xref>), lipid metabolism (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), and erythropoiesis (<xref ref-type="bibr" rid="B24">24</xref>). Furthermore, a clear crosstalk between the GR and HIFs exists (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>), and hypoxia is associated with increased lipolysis, increased FFA levels in the blood, and affects fatty acid &#x3b2;-oxidation (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>We hypothesize that cecal ligation and puncture (CLP)-induced polymicrobial sepsis leads to a rapid metabolically changed physiology, leading to an increase in metabolites with high tropism for hepatocytes (&#x3b2;-oxidation and gluconeogenesis) such as FFAs, glycerol, gluconeogenic AAs and lactate. Since HIFs interfere with the expression of multiple important metabolic enzymes, and since HIFs use transcriptional co-factors, such as p300, which are also essential for the function of GR and PPAR&#x3b1;, we aimed to investigate the role of HIF1&#x3b1; and HIF2&#x3b1; in more detail during sepsis, in the liver. We have studied HIF activity in the liver of septic mice using a newly generated HIF-luciferase reporter mouse in combination with bulk liver RNA sequencing (RNA-SEQ) data. Furthermore, we have investigated the functional role of HIF1&#x3b1; and/or HIF2&#x3b1; during sepsis in more detail <italic>via</italic> hepatocyte-specific HIF1&#x3b1; and/or HIF2&#x3b1; knock-out mice with a focus on their role in the annihilation of the transcriptional function of GR and PPAR&#x3b1;.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Mice</title>
<p>Male C57BL/6J mice were purchased from Janvier (Le Genest-St. Isle, France). <italic>HIF1a<sup>fl/fl</sup>
</italic>, <italic>HIF2a<sup>fl/fl</sup>
</italic> (provided by Prof. Dr. Ben Wielockx) were crossed with <italic>Albumin Cre</italic> transgenic mice, and the offspring was intercrossed to generate <italic>HIF1a<sup>fl/fl</sup> Albumin Cre<sup>Tg/+</sup>
</italic> (HIF1a<sup>AlbKO</sup>), <italic>HIF2a<sup>fl/fl</sup> Albumin Cre<sup>Tg/+</sup>
</italic> (HIF2a<sup>AlbKO</sup>), and <italic>HIF1aHIF2a<sup>fl/fl</sup> Albumin Cre<sup>Tg/+</sup>
</italic> (HIF1aHIF2a<sup>AlbKO</sup>) mice, all in a C57BL/6J background. All offspring was genotyped by PCR on genomic DNA isolated from toe biopsies. Mice were housed in a temperature-controlled, specific pathogen free (SPF) air-conditioned animal house with 14 and 10h light/dark cycles and received food and water <italic>ad libitum.</italic> All mice were used at the age of 8 &#x2013; 12 weeks, and all experiments were approved by the institutional ethics committee for animal welfare of the Faculty of Sciences, Ghent University, Belgium.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Plasmid and transgene construction</title>
<p>A hypoxia reporter plasmid was purchased from Addgene (plasmid #26731). The plasmid contained a cassette containing three Hypoxia Responsive Elements (HRE) derived from the mouse <italic>Pgk1</italic> gene (sequence HRE: TGTCACGTCCTGCACGACTCTAGT), followed by a mini TK promoter (<xref ref-type="bibr" rid="B27">27</xref>), firefly luciferase cDNA and SV40 polyA, flanked by 2 chicken beta-globin HS4 insulator core sequences (<xref ref-type="bibr" rid="B28">28</xref>) on both sides. The reporter plasmid is considered to be specific for hypoxia signals (<xref ref-type="bibr" rid="B27">27</xref>). The insulators were flanked with 800 bp homology arms to the TIGRE locus (<xref ref-type="bibr" rid="B29">29</xref>) and by NotI restriction sites. The 5629 bp cassette was made synthetically (Genscript) and cloned in a pUC57 backbone vector. The cassette was removed from the vector by NotI digest, gel extracted and purified using phenol-chloroform extraction and ethanol precipitation. The fragment was dissolved in TE buffer pH 7.5.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Generation of transgenic mice</title>
<p>The purified fragment (1.5 ng/&#xb5;l) was injected in C57BL/6J zygotes together with Cas9 protein (60 ng/&#xb5;l, VIB Protein Core) and cr/tracrRNA duplex to the TIGRE locus (5&#x2019; TAACTTTAATTCTAGCGATC 3&#x2019;, 40 ng/&#xb5;l). Founders were identified by PCR amplification of toe DNA with primers to the luciferase cDNA identifying integration of the cassette in the genome: 5&#x2019; GGAAGACGCCAAAAACATAA 3&#x2019; and 5&#x2019; GGAAGACGCCAAAAACATAA 3&#x2019;. Correct integration in the TIGRE locus was identified with a PCR over the left homology region with a primer in the TIGRE locus 5&#x2019; GCCTGGAACTCACTATACAA 3&#x2019; and a primer in the cassette 5&#x2019; TTAATATGCGAAGTGGACCT 3&#x2019; on the one hand and a PCR over the right homology region with a primer in the cassette 5&#x2019; TAAAAAACCTCCCACACCTC 3&#x2019; and a primer in the TIGRE locus 5&#x2019; AACTAAGAAGAAACGCCTCC 3&#x2019;.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Cecal ligation and puncture</title>
<p>Polymicrobial sepsis was induced in mice by performing a CLP procedure, as previously described by Rittirsch et&#xa0;al. (2009) (<xref ref-type="bibr" rid="B30">30</xref>). Briefly, mice were anesthetized by isoflurane inhalation and a midline incision was made in the abdomen. Then, the cecum was exposed, 75% ligated, and a single through-and-through puncture was made with a 21-Gauge needle. During the procedure, a small amount of cecal content was extruded. The abdominal musculature and skin were closed by applying simple running sutures and metallic clips, respectively. During lethality experiments, mice were injected intraperitoneally (i.p.) with broad-spectrum antibiotics (25 mg/kg ceftriaxone and 12.5 mg/kg metronidazole, Sigma) in 100 &#xb5;l phosphate buffered saline (PBS) 8h and 24h after CLP onset. For organ isolation experiments, a sham procedure was also performed. Here, the cecum of mice was exposed but not ligated or punctured. Mice were euthanized <italic>via</italic> cervical dislocation at the indicated timepoints after sepsis initiation, and plasma and organs were collected.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Reagents</title>
<p>LPS from <italic>Salmonella abortus equi</italic> was purchased from Sigma-Aldrich N.V. (L-5886). For <italic>in vivo</italic> DEX injection, Rapidexon (Medini N.V.) was used. LPS and DEX were diluted in PBS. Luciferin (XenoLight&#x2122; D-Luciferin - K+ Salt) was purchased from Caliper Life Sciences.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Injections and sampling</title>
<p>All injections were given i.p., except for the hydrodynamic intravenous (i.v.) tail injection of the DNA plasmid. Injection volumes were always adapted to the bodyweight of the mice. In lethality experiments, mice were monitored by measuring rectal body temperature. Mice with body temperature below 28&#xb0;C were euthanized using cervical dislocation. Blood was taken <italic>via</italic> cardiac puncture after sedation of the mice with a ketamine/xylazine solution (Sigma-Aldrich N.V.) or <italic>via</italic> retro-orbital eye bleeding after sedation with isoflurane. To obtain mouse plasma, blood samples were collected in EDTA-coated tubes, and samples were centrifuged at 3.000 rpm for 15 minutes at 4&#xb0;C. Plasma samples were stored at -20&#xb0;C for biochemical analysis. For sampling of liver, mice were killed by cervical dislocation at indicated time points.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Hypoxia treatment</title>
<p>Mice were randomly assigned to the normoxia group and hypoxia group. The normoxia group was exposed to room air (21% O<sub>2</sub>), whereas the hypoxia group was placed in a ventilated hypoxic chamber with 7% O<sub>2</sub> and 93% N<sub>2</sub> for the indicated time points. The oxygen levels were monitored with a Greisinger GOX 100 oxygen sensor (Conrad).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Detection of HIF activity</title>
<p>Mice were injected in the tail vein over five seconds with a HRE-luciferase reporter plasmid solution (Addgene, #26731; 10 &#xb5;g/ml in sterile, endotoxin-free PBS) or PBS (control) in a volume equivalent to 10% of the body weight, as described by Van Bogaert et&#xa0;al. (2011) (<xref ref-type="bibr" rid="B31">31</xref>). The HRE-luciferase plasmid contains three hypoxia response elements (24-mers, TGTCACGTCCTGCACGACTCTAGT) from the mouse <italic>Pgk1</italic> gene upstream of firefly luciferase. Five hours after transfection, mice were subjected to a sham or CLP procedure, or injected with PBS or LPS, and visualized at indicated time points. Briefly, mice were injected with 200 &#x3bc;l of a 15 mg/ml potassium salt luciferin solution. 10 minutes after injection, livers were isolated and visualized <italic>via</italic> the imaging chamber of the IVIS Spectrum <italic>In Vivo</italic> Imaging System (Caliper Life Sciences). Photon emission was integrated over a period of 2 minutes and recorded as pseudo-color images. Living Image (Caliper Life Sciences) was used for image analysis. The regions of interest were selected based on the luciferase signal (purple) detected over all images. To confirm the specificity of the technique used for the injection of the HRE-luciferase reporter plasmid, liver was also visualized. Data were acquired as photons/cm<sup>2</sup>/s and log(Y) transformed before statistical analysis. Results are normalized to the PBS control group.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>RNA sequencing</title>
<sec id="s2_9_1">
<label>2.9.1</label>
<title>Liver &#x2013; CLP dataset</title>
<p>We used liver CLP datasets GSE160795 and GSE160830 that were processed as described in Vandewalle et&#xa0;al. (2021) (<xref ref-type="bibr" rid="B10">10</xref>). Gene level read counts were obtained with featureCounts (<xref ref-type="bibr" rid="B32">32</xref>), and differential expressed genes were found by the DESeq2 R package (<xref ref-type="bibr" rid="B33">33</xref>) with the false discovery rate (FDR) set at 5%.</p>
</sec>
<sec id="s2_9_2">
<label>2.9.2</label>
<title>Liver &#x2013; Hypoxia dataset</title>
<p>We used liver hypoxia datasets GSE162100 and GSE162155 that were processed as described in Vanderhaeghen et&#xa0;al. (2021) (<xref ref-type="bibr" rid="B26">26</xref>). Gene level read counts were obtained with featureCounts (<xref ref-type="bibr" rid="B32">32</xref>), and differential expressed genes were found by the DESeq2 R package (<xref ref-type="bibr" rid="B33">33</xref>) with the false discovery rate (FDR) set at 5%.</p>
</sec>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Real-time quantitative PCR</title>
<p>Liver was isolated, put in RNA later (Life Technologies Europe), and stored at -20&#xb0;C before RNA was isolated. Total RNA was isolated with the Aurum total RNA mini kit (Biorad) according to manufaturer&#x2019;s instructions. RNA concentration was measured with the Nanodrop 8000 (Thermo Fisher Scientific), and 1000 ng RNA was used to prepare cDNA with Sensifast cDNA Synthesis Kit (Bioline). cDNA was diluted 20 times in ultrapure water for use in RT-qPCR reactions. RT-qPCR primers for used targets are listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. RT-qPCR reaction was performed with sensiFast Sybr no-ROX mix (Bioline) and was performed in duplicate in a Roche LightCycler480 system (Applied Biosystems). The stability of the housekeeping genes (HKGs) were determined by Genorm. Results are given as relative expression values normalized to the geometric mean of the HKGs, calculated in the qBase+ software (Biogazelle).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primer sequences used for RT-qPCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Gene</th>
<th valign="top" align="left">Forward primer (5&#x2032;&#x2010;3&#x2032;)</th>
<th valign="top" align="left">Reverse primer (5&#x2032;&#x2010;3&#x2032;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>Hprt</italic>
</td>
<td valign="top" align="left">AGTGTTGGATACAGGCCAGAC</td>
<td valign="top" align="left">CGTGATTCAAATCCCTGAAGT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Rpl</italic>
</td>
<td valign="top" align="left">CCTGCTGCTCTCAAGGTT</td>
<td valign="top" align="left">TGGTTGTCACTGCCTCGTACTT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fam107a</italic>
</td>
<td valign="top" align="left">CAGACCAGAGTACAGAGAGTGG</td>
<td valign="top" align="left">GTGGTTCATAAGCAGCTCACG</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Fkbp5</italic>
</td>
<td valign="top" align="left">TGAGGGCACCAGTAACAATGG</td>
<td valign="top" align="left">CAACATCCCTTTGTAGTGGACAT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Tsc22d3</italic>
</td>
<td valign="top" align="left">CCAGTGTGCTCCAGAAAGTGTAAG</td>
<td valign="top" align="left">AGAAGGCTCATTTGGCTCAATCTC</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ppara</italic>
</td>
<td valign="top" align="left">AGAGCCCCATCTGTCCTCTC</td>
<td valign="top" align="left">ACTGGTAGTCTGCAAAACCAAA</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Slc25a20</italic>
</td>
<td valign="top" align="left">GACGAGCCGAAACCCATCAG</td>
<td valign="top" align="left">AGTCGGACCTTGACCGTGT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Cpt2</italic>
</td>
<td valign="top" align="left">CAGCACAGCATCGTACCCA</td>
<td valign="top" align="left">TCCCAATGCCGTTCTCAAAAT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Hmgcs2</italic>
</td>
<td valign="top" align="left">GAAGAGAGCGATGCAGGAAAC</td>
<td valign="top" align="left">GTCCACATATTGGGCTGGAAA</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Hif1a</italic>
</td>
<td valign="top" align="left">CGGCGAAGCAAAGAGTCTGAAG</td>
<td valign="top" align="left">GATGGTGAGCCTCATAACAGAAGC</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Epas1</italic>
</td>
<td valign="top" align="left">CTGAGGAAGGAGAAATCCCGT</td>
<td valign="top" align="left">TGTGTCCGAAGGAAGCTGATG</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Biochemical analysis</title>
<p>Blood glucose and ketone body levels were measured in tail blood with the use of OneTouch Verio glucose meter (LifeScan) and Freestyle Precision Neo meter (Abbott), respectively. Free fatty acids (Abnova) were measured in mouse plasma with the use of colorimetric assays according to manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2_12">
<label>2.12</label>
<title>Statistics</title>
<p>Data were expressed as means &#xb1; standard errors of the means (SEM). Statistical significance was evaluated with a two-way ANOVA in GraphPad Prism 9.0 software (GraphPad Software, San Diego, CA). If applicable, two-way ANOVA analysis were followed by <italic>post-hoc</italic> analysis to correct for multiple testing during the pairwise multiple comparisons using the &#x160;&#xed;d&#xe1;k&#x2019;s multiple comparisons test. Fold changes or ratios were log(Y) transformed before statistical analysis. Survival curves were subjected to the Log-Rank (Mantel-Cox) test to investigate whether statistical significance could be observed during different groups. Determining if two sets showed a significant overlap as approached as a (gene) set enrichment analysis, the hypergeometric test was used to obtain a p-value of the overlap. As the population size for the test, we used the total number of genes (13.000 genes) for which we can reliably obtain (normalized counts &gt; 1 in 50% of the samples or all samples of one condition) gene level counts in the liver.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>HIF signaling is enriched in the liver during CLP-induced polymicrobial sepsis</title>
<p>To investigate the presence of HIF signaling on a genome-wide level in the liver of septic mice, bulk RNA-SEQ analysis was performed on the livers of mice 6h and 24h after a CLP or sham procedure, and 6h and 24h after hypoxia (7% oxygen) or normoxia (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). After 6h, 896 and 2556 genes were significantly upregulated (adjusted P-value (P) &lt; 0.05, LFC &gt; 0), while 910 and 2244 genes were significantly downregulated (P &lt; 0.05, LFC &lt; 0) after hypoxia or CLP, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). We identified the upregulation of 2490 and 4183 genes (P &lt; 0.05, LFC &gt; 0), and the downregulation of 2070 and 4169 genes (P &lt; 0.05, LFC &lt; 0) 24h after hypoxia or CLP (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The overlap between the hypoxia and CLP dataset demonstrates that there is a significant enrichment of hypoxia signaling in the up- (6h: 253/2556, P = 3.68e<sup>-11</sup> and 24h: 942/4183, P = 4.7e<sup>-12</sup>) and downregulated (6h: 223/2244, P = 2.28e<sup>-9</sup> and 24h: 1081/4169, P = 2.01e<sup>-96</sup>) genes in CLP-induced polymicrobial sepsis at both timepoints (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). As expected, Enrichr analysis of the shared upregulated genes shows a clear enrichment in pro-inflammatory responses as well as hypoxia at both timepoints (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The log fold changes (LFCs) of genes significantly upregulated by CLP and hypoxia reported by the Enrichr analysis, are shown in the heatmap of <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>. When analyzing the pathways induced by these genes, Enrichr revealed HIF signaling pathway, as expected, but also metabolic pathways such as glycolysis. Furthermore, the mRNA expression levels of <italic>Hif1a</italic> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>) and <italic>Epas1</italic> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>), the genes encoding HIF1&#x3b1; and HIF2&#x3b1; respectively, are significantly higher after CLP. In contrast, the dominant-negative regulator of the HIF pathway HIF3&#x3b1; (<xref ref-type="bibr" rid="B34">34</xref>), encoded by <italic>Hif3a</italic>, is hardly expressed in the liver of mice isolated after CLP or sham (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>). In contrast, the impact of deep hypoxia on the transcriptional levels of <italic>Hif1a</italic>, <italic>Epas1</italic> and <italic>Hif3a</italic> is quite minimal. After 6h and 24h of hypoxia, we detected a small (but non-significant) increase in <italic>Hif1a</italic> mRNA expression levels of 6% and 15%, respectively. <italic>Epas1</italic> mRNA levels did not increase at both time points. Also in the presence of hypoxia, <italic>Hif3a</italic> is hardly expressed in the liver of these mice (data not shown). </p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>HIF signaling is enriched during sepsis. <bold>(A, B)</bold> C57BL/6J mice were put in normoxia or hypoxia and sham or CLP, and livers were isolated after 6h <bold>(A)</bold> and 24h <bold>(B)</bold> for genome-wide transcriptomics <italic>via</italic> RNA-SEQ. Venn diagram depicting the overlap between genes that are upregulated (up, P &lt; 0.05 &amp; LFC &gt; 0) and downregulated (down, P &lt; 0.05 &amp; LFC &lt; 0) by hypoxia and CLP at the indicated timepoints. <bold>(C)</bold> Heatmap based on the genes identified <italic>via</italic> Enrichr pathway analysis (MSigDB Hallmark 2020) significantly upregulated by CLP and by hypoxia. Log fold changes (LFCs) are depicted. <bold>(D-F)</bold> C57BL/6J mice were subjected to a sham or CLP procedure and the liver was isolated at the indicated timepoints. RNA-SEQ mRNA counts are shown for <italic>Hif1a</italic> <bold>(D)</bold>, <italic>Epas1</italic> <bold>(E)</bold> and <italic>Hif3a</italic> <bold>(F)</bold>. All bars represent mean &#xb1; SEM. P-values were calculated using two-way ANOVA. ****P &lt; 0.0001, ** P &#x2264; 0.01; * P &#x2264; 0.05. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The presence of hypoxia signaling after CLP-induced polymicrobial sepsis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">% H genes present in CLP<break/>6h</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">% H genes present in CLP<break/>24h</th>
<th valign="top" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="center">
<bold>UPREGULATED</bold>
</td>
<td valign="top" align="center">253/896 (28.2%)</td>
<td valign="top" rowspan="3" align="center">3.68e<sup>-11</sup>
</td>
<td valign="top" align="center">942/2490 (37.8%)</td>
<td valign="top" rowspan="3" align="center">4.7e<sup>-12</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">
<bold>% of these genes in CLP</bold>
</td>
<td valign="top" align="center">
<bold>% of these genes in CLP</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">253/2556 (9.9%)</td>
<td valign="top" align="center">942/4183 (22.5%)</td>
</tr>
<tr>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>% H genes present in CLP</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>% H genes present in CLP</bold>
</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="center">
<bold>DOWNREGULATED</bold>
</td>
<td valign="top" align="center">223/910 (24.5%)</td>
<td valign="top" rowspan="3" align="center">2.28e<sup>-9</sup>
</td>
<td valign="top" align="center">1081/2070 (52.2%)</td>
<td valign="top" rowspan="3" align="center">2.01e<sup>-96</sup>
</td>
</tr>
<tr>
<td valign="top" align="center">
<bold>% of these genes in CLP</bold>
</td>
<td valign="top" align="center">
<bold>% of these genes in CLP</bold>
</td>
</tr>
<tr>
<td valign="top" align="center">223/2244 (9.9%)</td>
<td valign="top" align="center">1081/4169 (25.9%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> displays the amount of genes that are upregulated (adjusted P-value (P) &lt; 0.05 and LFC &gt; 0) or downregulated (P &lt; 0.05 and LFC &lt; 0) by hypoxia and how many of these genes are induced (P &lt; 0.05 and LFC &gt; 0) or repressed (P &lt; 0.05 and LFC &lt; 0) by CLP polymicrobial sepsis. Determining if two sets showed a significant overlap as approached as a (gene) set enrichment analysis, the hypergeometric test was used to obtain a p-value of the overlap. As the population size for the test, we used the total number of genes (13.000 genes) for which we can reliably obtain (normalized counts &gt; 1 in 50% of the samples or all samples of one condition) gene level counts in the liver. By using a hypergeometric test, a significant enrichment of hypoxia signaling is present during CLP-induced sepsis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Enrichr analysis of upregulated genes shared between hypoxia and CLP.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="center">Hypoxia vs CLP 6h</th>
<th valign="top" colspan="2" align="center">Hypoxia vs CLP 24h</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" align="left">Name</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Name</th>
<th valign="top" align="center">P-value</th>
</tr>
<tr>
<td valign="top" align="left">TNF&#x3b1; Signalling <bold>
<italic>via</italic>
</bold> NF&#x3ba;B</td>
<td valign="top" align="center">3.967e-9</td>
<td valign="top" align="center">Myc Targets V1</td>
<td valign="top" align="center">8.887e-15</td>
</tr>
<tr>
<td valign="top" align="left">Unfolded Protein Response</td>
<td valign="top" align="center">0.002106</td>
<td valign="top" align="center">Unfolded Protein Response</td>
<td valign="top" align="center">4.334e-11</td>
</tr>
<tr>
<td valign="top" align="left">Hypoxia</td>
<td valign="top" align="center">0.002657</td>
<td valign="top" align="center">mTORC1 Signalling</td>
<td valign="top" align="center">4.807e-9</td>
</tr>
<tr>
<td valign="top" align="left">Estrogen Response Early</td>
<td valign="top" align="center">0.002657</td>
<td valign="top" align="center">Protein Secretion</td>
<td valign="top" align="center">0.00002675</td>
</tr>
<tr>
<td valign="top" align="left">TGF-beta Signalling</td>
<td valign="top" align="center">0.002657</td>
<td valign="top" align="center">Adipogenesis</td>
<td valign="top" align="center">0.00008132</td>
</tr>
<tr>
<td valign="top" align="left">Inflammatory Response</td>
<td valign="top" align="center">0.007646</td>
<td valign="top" align="center">Hypoxia</td>
<td valign="top" align="center">0.02021</td>
</tr>
<tr>
<td valign="top" align="left">Myogenesis</td>
<td valign="top" align="center">0.01975</td>
<td valign="top" align="center">p53 Pathway</td>
<td valign="top" align="center">0.02021</td>
</tr>
<tr>
<td valign="top" align="left">mTORC1 Signalling</td>
<td valign="top" align="center">0.01975</td>
<td valign="top" align="center">Myc Targets V2</td>
<td valign="top" align="center">0.02859</td>
</tr>
<tr>
<td valign="top" align="left">p53 Pathway</td>
<td valign="top" align="center">0.01975</td>
<td valign="top" align="center">TNF&#x3b1; Signalling <italic>via</italic> NF&#x3ba;B</td>
<td valign="top" align="center">0.02859</td>
</tr>
<tr>
<td valign="top" align="left">Myc Targets V2</td>
<td valign="top" align="center">0.02735</td>
<td valign="top" align="center">Oxidative Phosphorylation</td>
<td valign="top" align="center">0.02859</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MSigDB Hallmark 2020 analysis of the genes that are upregulated both by hypoxia and CLP after 6h and 24h. P-values shown are the adjusted p-values provided <italic>via</italic> Enrichr.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>HIF activity is detected in the liver of transgenic HIF reporter mice in CLP</title>
<p>Based on the RNA-SEQ analysis, HIF signaling is present in the liver of septic mice. We have generated an HRE-luciferase reporter mouse. A hypoxia reporter plasmid was purchased from Addgene (plasmid #26731). This cassette containing 3 HREs, followed by a mini TK promotor (<xref ref-type="bibr" rid="B27">27</xref>), firefly luciferase cDNA, and SV40 polyA, flanked by chicken insulator sequences (<xref ref-type="bibr" rid="B28">28</xref>) was injected in C57BL/6J zygotes (1.5 ng/&#xb5;l) and inserted <italic>via</italic> random integration (<xref ref-type="bibr" rid="B29">29</xref>). Several founder lines were obtained in which the construct had integrated. The function of the HRE-luciferase activity was measured in the germline transgenic reporter mice <italic>via</italic> luciferin injection and optical imaging using the IVIS SpectrumCT system as a proof-of-concept (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Heterozygous HRE-luciferase transgenic reporter (HRE-Luc<sup>Tg/+</sup>) mice were put in hypoxia (7% oxygen) or normoxia, and visualized after 2h, 6h and 24h. We were able to detect a clear luciferase signal under hypoxic conditions, while only a limited amount of luciferase activity was observed in normoxia (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Furthermore, the luciferase signal could be detected in several organs such as the brain, the heart and lungs, isolated from the mice after 24h of hypoxia (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>HIF activity is detected in the liver of transgenic HIF reporter mice in CLP. <bold>(A)</bold> A hypoxia reporter plasmid was purchased from Addgene (plasmid #26731). The plasmid contained a cassette containing three Hypoxia Responsive Elements (HRE) derived from the <italic>Pgk1</italic> gene (sequence HRE: TGTCACGTCCTGCACGACTCTAGT), followed by a mini TK promoter (<xref ref-type="bibr" rid="B27">27</xref>), firefly luciferase cDNA and SV40 polyA was flanked by 2 chicken beta-globin HS4 insulator core sequences (<xref ref-type="bibr" rid="B28">28</xref>) on both sides. The reporter plasmid is reported to be specific for hypoxia signals (<xref ref-type="bibr" rid="B27">27</xref>). The purified fragment (1.5 ng/&#xb5;l) was injected in C57BL/6J zygotes and randomly integrated. Luciferase activity can be measured <italic>via</italic> optical imaging using the IVIS SpectrumCT system after i.p. injection of germline transgenic reporter mice and wild-type littermates with luciferin. <bold>(B, C)</bold> Imaging of the luciferase activity (purple signal) of HRE-Luc<sup>Tg/+</sup> mice <bold>(B)</bold> and their organs <bold>(C)</bold> in normoxia and hypoxia at indicated timepoints. <bold>(D)</bold> Experimental set-up and imaging of the luciferase activity of HRE-Luc<sup>Tg/+</sup> mice and wild-type littermates and their livers subjected to a sham or CLP procedure at the indicated timepoints. <bold>(E, F)</bold> Log<sub>10</sub> of the bioluminescent photon counts of HRE-Luc<sup>Tg/+</sup> mice <bold>(E)</bold> and their liver <bold>(F)</bold> 6h and 24h after sham or CLP (n=6/group). All bars represent mean &#xb1; SEM. Each individual data point represents individual mice. P-values were calculated using two-way ANOVA. ****P &lt; 0.0001, ***P &lt; 0.001, *P &#x2264; 0.05.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g002.tif"/>
</fig>
<p>Next, using the HRE-Luc<sup>Tg/+</sup> reporter mice, luciferase signals were investigated after CLP-induced polymicrobial sepsis. Therefore, a CLP or sham procedure was performed on HRE-Luc<sup>Tg/+</sup> mice and wild-type littermates (HRE-Luc<sup>+/+</sup>). In the latter mice, no signal was observed (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). A significant increase in luciferase reporter activity was detected after 6h and 24h of CLP when imaging the entire animals and their livers compared to sham-operated mice (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D&#x2013;F</bold>
</xref>), strongly suggesting that hypoxia signaling is present in the livers of septic mice and that HIF proteins are transcriptionally active in sepsis.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Hepatocyte-specific knock-out of HIF1&#x3b1; and HIF2&#x3b1; reduces HIF activity in the liver of septic mice</title>
<p>In order to confirm whether HIF1&#x3b1; and/or HIF2&#x3b1; is/are responsible for the luciferase signal detected in the liver after CLP, mice with a conditional knock-out of HIF1&#x3b1; (HIF1a<sup>AlbKO</sup>) or HIF2&#x3b1; (HIF2a<sup>AlbKO</sup>), or both (HIF1aHIF2a<sup>AlbKO</sup>) in hepatocytes were generated. To validate the hepatocyte specific knock-out mice used in these experiments, <italic>Hif1a</italic> and <italic>Epas1</italic> mRNA levels were measured <italic>via</italic> RT-qPCR in the liver of HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup>, HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). As expected, <italic>Hif1a</italic> and <italic>Epas1</italic> mRNA levels were significantly downregulated in the respective knock-out mice (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1A, B</bold>
</xref>). Both genes were significantly downregulated in the liver of HIF1aHIF2a<sup>AlbKO</sup> mice (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1C</bold>
</xref>). We also detected a downregulation of <italic>Epas1</italic> mRNA in the liver of HIF1a<sup>AlbKO</sup> mice (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>), suggesting that HIF1&#x3b1; depletion also causes some HIF2&#x3b1; reduction under normoxic conditions.</p>
<p>First, we confirmed the presence of hepatic HIF activity in septic mice by injecting the HRE-luciferase reporter plasmid (which was used to generate the transgenic reporter mice) or PBS (control) <italic>via</italic> the tail vein under high pressure, leading to hepatocyte-specific transfection. These mice were randomly assigned to a sham or CLP procedure. Luciferase activity was measured at the indicated timepoints (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). In sham mice, low luciferase signals were detected in mice injected with the reporter plasmid. As soon as 6h after CLP, the luciferase activity strongly increased and remained high until 24h post-surgery (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B, C</bold>
</xref>), suggesting strong HIF transcriptional activity. Furthermore, we compared HRE-luciferase activity between CLP and LPS-induced endotoxemia. Mice were injected with the reporter plasmid <italic>via</italic> the tail vein followed by an LPS injection or a CLP procedure. A sham operation or PBS injection was performed as a control. The luciferase activity tended to increase to the same extent in both mouse models of systemic inflammatory response syndrome (SIRS) and sepsis (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Finally, we studied if the HRE-luciferase activity induced by sepsis is comparable with mice in hypoxia (7% oxygen). Therefore, mice were put in normoxic or hypoxic conditions, or were subjected to a sham or CLP procedure after high-pressure injection of the HRE-luciferase reporter plasmid. 6h after CLP, the HRE-luciferase signal was significantly increased compared to sham, remained high until 24h, and was comparable to the signal induced by hypoxia (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, E</bold>
</xref>). In contrast to their mRNA expression levels, HIF proteins do accumulate in hypoxic conditions. </p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>HIF activity in mouse liver during sepsis using high-pressure injections. <bold>(A-C)</bold> The effect of CLP on HIF activity was estimated in C57BL/6J mice by a HRE-luciferase reporter plasmid at indicated time points. All mice were injected according to body weight. <bold>(A)</bold> Experimental set-up and imaging of the luciferase activity (purple signal) in the liver of PBS control mice and mice after a sham or CLP procedure at the indicated time points. Log<sub>10</sub> of the bioluminescent photon counts normalized to the PBS control group of C57BL/6J mice <bold>(B)</bold> and their livers <bold>(C)</bold> subjected to a sham or CLP procedure at the indicated timepoints (n=3-5/group). Log<sub>10</sub> of the bioluminescent photon counts of mice <bold>(D)</bold> and their livers <bold>(E)</bold> subjected to normoxia (black circles) or hypoxia (black squares) and sham (white circles) or CLP (white squares) at the indicated time points (n=3-5/group). All bars represent mean &#xb1; SEM. Each individual data point represents individual mice. P-values were calculated using two-way ANOVA. **P &#x2264; 0.01; *P &#x2264; 0.05; ***P &lt;0.001; ****P &lt;0.0001. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g003.tif"/>
</fig>
<p>To investigate which HIF protein is involved in the HRE-luciferase activity observed during sepsis, we measured the reporter activity in the liver of HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> and HIF1aHIF2a<sup>AlbKO</sup> 24h after CLP-induced polymicrobial sepsis using the reporter plasmid (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The HRE-luciferase activity increased in HIF1a<sup>AlbKO</sup> (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, D</bold>
</xref>) and HIF2a<sup>AlbKO</sup> (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B, E</bold>
</xref>) 24h after CLP, to the same extent as in wild-type mice. However, when both HIF proteins are absent in hepatocytes, we were no longer able to detect a significant increase in the HRE-luciferase activity in sepsis (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4C, F</bold>
</xref>), suggesting that both HIF1&#x3b1; and HIF2&#x3b1; are responsible for the HIF activity in sepsis and that perhaps both proteins can functionally compensate for the loss of the other in hepatocytes.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>HIF activity in hepatocyte-specific knock-out mice of HIF1&#x3b1; and/HIF2&#x3b1; in sepsis. HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> and HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were injected with the HRE-luciferase reporter mice <italic>via</italic> high pressure injection at the tail vein. Then, mice were subjected to a sham or CLP procedure and the luciferase activity was measured 24h post-surgery. <bold>(A-C)</bold> Imaging of the luciferase activity (purple signal) of HIF1a<sup>AlbKO</sup> <bold>(A)</bold>, HIF2a<sup>AlbKO</sup> <bold>(B)</bold> and HIF1aHIF2a<sup>AlbKO</sup> <bold>(C)</bold> mice and wild-type littermates 24h after sham or CLP procedure. <bold>(D-F)</bold> Log<sub>10</sub> of the bioluminescent photon counts of HIF1a<sup>AlbKO</sup> <bold>(D)</bold>, HIF2a<sup>AlbKO</sup> <bold>(E)</bold> and HIF1aHIF2a<sup>AlbKO</sup> <bold>(F)</bold> mice and wild-type littermates 24h after sham or CLP procedure (n=4-8/group). All bars represent mean &#xb1; SEM. Each individual data point represents individual mice. P-values were calculated using two-way ANOVA. ****P &lt; 0.0001, ***P &lt; 0.001, *P &#x2264; 0.05. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g004.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Survival of hepatocyte-specific knockouts of HIF1&#x3b1;, HIF2&#x3b1; or both in CLP-induced polymicrobial sepsis or LPS-induced endotoxemia</title>
<p>Several studies have shown that a conditional HIF1&#x3b1; or HIF2&#x3b1; knock-out in myeloid cells protects against LPS-induced endotoxemia (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). However, the role of hepatic HIF proteins in polymicrobial sepsis has been poorly studied. Therefore, we first investigated whether HIF1&#x3b1; and/or HIF2&#x3b1; expression in the liver contribute to sepsis mortality. Mice with a conditional knock-out of HIF1&#x3b1; (HIF1a<sup>AlbKO</sup>) or HIF2&#x3b1; (HIF2a<sup>AlbKO</sup>), or HIF1&#x3b1; and HIF2&#x3b1; (HIF1aHIF2a<sup>AlbKO</sup>) in hepatocytes and wild-type littermates were subjected to a CLP procedure. However, no survival benefit was observed in the absence of HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes after CLP (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Furthermore, when these mice were injected with a lethal dose of LPS (11.25 mg/kg), no significant impact on survival between hepatocyte-specific HIFa<sup>AlbKO</sup> mutant and wild-type mice was observed (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Lack of survival benefit in CLP-induced polymicrobial sepsis or LPS-induced endotoxemia in the absence of HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes. HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup>, and HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were subjected to CLP <bold>(A)</bold> or injected with 11.25 mg/kg LPS <bold>(B)</bold>. Survival was monitored over time. N-values are indicated in the figure. Survival curves were analyzed with Log-Rank test. <bold>(C-E)</bold> HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup>, and HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were subjected to a sham or CLP procedure. After 24h, glucose <bold>(C)</bold> and ketone bodies <bold>(E)</bold> were measured <italic>via</italic> the tail vein. FFA levels <bold>(D)</bold> were determined in the plasma of these mice. Fold inductions are shown on the figures. All bars represent mean &#xb1; SEM. P-values were analyzed with two-way ANOVA. ****P &lt; 0.0001, ***P &lt; 0.001, **P &lt; 0.01, *P &#x2264; 0.05. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g005.tif"/>
</fig>
<p>As mentioned before, sepsis is characterized by a (failing) SR with hypoglycemia and increased levels of FFAs and KBs as a consequence (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Furthermore, HIF proteins are involved in regulating the expression of genes involved in glucose and lipid metabolism (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>) in a direct way, or by reducing the function of PPAR&#x3b1; and/or GR in hepatocytes (hypothesis investigated in this study). Therefore, we investigated whether the absence of HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes has an influence on the hypoglycemia and increased FFA and KB levels during sepsis. HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> and HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were subjected to a CLP or sham procedure and glucose, FFAs and KBs were measured in the blood of these mice 24h post-surgery. As expected (<xref ref-type="bibr" rid="B10">10</xref>), hypoglycemia was detected in wild-type mice 24h after CLP. The degree of hypoglycemia was similar in all three mutant mice (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). We could also detect a significant increase in both FFA and KB levels in the blood of wild-type mice and all three HIFa<sup>AlbKO</sup> mice, 24h after polymicrobial sepsis was induced (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5D, E</bold>
</xref>). Although some differences in the degree of hypoglycemia, and FFA and KB increases were detected in the different groups, we conclude that, by and large, no major effects of HIF absence were found on biological effects of CLP-induced hypoglycemia and increase in FFA and KB levels.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Hepatic HIF1&#x3b1; and HIF2&#x3b1; are not involved in the GCR present in polymicrobial sepsis</title>
<p>Once polymicrobial sepsis <italic>via</italic> CLP is induced, mice develop a persistent and genome-wide GCR in the liver as well as hypoglycemia and hyperlactatemia (<xref ref-type="bibr" rid="B10">10</xref>). Furthermore, since HIFs are thought to be involved in increased glycolysis thereby contributing to the higher blood lactate levels during sepsis (<xref ref-type="bibr" rid="B7">7</xref>), and a clear crosstalk exists between GR and HIF (<xref ref-type="bibr" rid="B25">25</xref>), we investigated if HIF1&#x3b1; and/or HIF2&#x3b1; are involved in the GCR induced in the liver during sepsis. Therefore, HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> or HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were subjected to a CLP procedure. After 6h, a timepoint at which GCR is already present in mice (<xref ref-type="bibr" rid="B10">10</xref>), mice were injected i.p. with PBS or DEX (10 mg/kg), and liver was isolated 2h later (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The expression of typical GR-responsive genes was measured <italic>via</italic> RT-qPCR. In sham mice, a significant increase in the mRNA expression levels of <italic>Fam107a</italic>, <italic>Fkbp5</italic> and <italic>Tsc22d3</italic> after DEX stimulation was detected. As previously shown (<xref ref-type="bibr" rid="B10">10</xref>), these genes no longer responded to DEX after CLP. Furthermore, we were unable to detect any significant difference in gene expression levels after DEX stimulation in the liver of HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> and HIF1aHIF2a<sup>AlbKO</sup> mice 6h after CLP (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B&#x2013;D</bold>
</xref>). These results show that the absence of HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes of septic mice is not able to prevent GCR during sepsis.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>No role for HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes in mediating GCR during sepsis. <bold>(A)</bold> HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> or HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were randomly assigned to a sham or CLP procedure. 6h post-surgery, mice were injected i.p. with PBS or DEX (10 mg/kg) and the livers were isolated 2h later. The mRNA expression levels of <italic>Fam107a</italic> <bold>(B)</bold>, <italic>Fkbp5</italic> <bold>(C)</bold> and <italic>Tsc22d3</italic> <bold>(D)</bold> were measured <italic>via</italic> RT-qPCR. One experiment (n=3/group). Data is pooled for the wild-type mice. All bars represent mean &#xb1; SEM. P-values were analyzed <italic>via</italic> two-way ANOVA. ****P &lt; 0.0001, ***P &lt; 0.001. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g006.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Effect of HIF1&#x3b1; and HIF2&#x3b1; on PPAR&#x3b1; functioning in sepsis</title>
<p>Sepsis is also associated with a rapid decline in hepatic PPAR&#x3b1; mRNA and protein levels, and hence a reduced hepatic FFA &#x3b2;-oxidation catabolism. In combination with increased lipolytic activity of WAT, this reduced &#x3b2;-oxidation causes lipotoxicity in liver and kidney after sepsis (<xref ref-type="bibr" rid="B11">11</xref>). Since hypoxia is associated with increased lipolysis, increased FFA levels in the blood (<xref ref-type="bibr" rid="B26">26</xref>), and impaired FFA &#x3b2;-oxidation (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), and p300 functions as a co-activator for PPAR&#x3b1; (<xref ref-type="bibr" rid="B38">38</xref>), hepatic HIF1&#x3b1; and/or HIF2&#x3b1; might be involved in the declined PPAR&#x3b1; signaling during sepsis. Therefore HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup>, and HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were subjected to CLP and livers were isolated 6h later (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). In wild-type mice, a rapid decline of <italic>Ppara</italic> and several PPAR&#x3b1; responsive genes was observed 6h after CLP (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7B&#x2013;D</bold>
</xref>). In the absence of HIF1&#x3b1; in hepatocytes, the mRNA expression levels of <italic>Ppara</italic> and its responsive genes were decreased, although less pronounced than in wild-type littermates (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). This might indicate that HIF1&#x3b1; contributes to the decline in PPAR&#x3b1; and its signaling in sepsis. In the absence of HIF2&#x3b1; in hepatocytes, no major effect was observed on the expression of <italic>Ppara</italic> and PPAR&#x3b1; responsive genes 6h after a CLP procedure in comparison to wild-type mice (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). In line with the results obtained in HIF1a<sup>AlbKO</sup> mice, the expression levels of <italic>Ppara</italic> and PPAR&#x3b1; responsive genes were significantly reduced in the liver of HIF1aHIF2a<sup>AlbKO</sup> mice and its wild-type littermates 6h after sepsis. However, the downregulation of <italic>Ppara</italic> and its targets genes is also less pronounced in the liver of HIF1aHIF2a<sup>AlbKO</sup> mice (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Absence of HIF1&#x3b1; in hepatocytes might affect impaired PPAR&#x3b1; signaling during sepsis. HIF1a<sup>AlbKO</sup>, HIF2a<sup>AlbKO</sup> or HIF1aHIF2a<sup>AlbKO</sup> mice and wild-type littermates were randomly assigned to a sham or CLP procedure. 6h post-surgery, livers were isolated. <bold>(A)</bold> Experimental set-up. <bold>(B-D)</bold> The expression levels of <italic>Ppara</italic> and PPAR&#x3b1; responsive genes were measured in the liver of HIF1a<sup>AlbKO</sup> (n=8/group) <bold>(B)</bold>, HIF2a<sup>AlbKO</sup> (n=8-9/group) <bold>(C)</bold>, or HIF1aHIF2a<sup>AlbKO</sup> (n=6-7/group) <bold>(D)</bold> mice and wild-type littermates <italic>via</italic> RT-qPCR. <bold>(E)</bold> Graphical abstract. Fold inductions are displayed on the graphs. All bars represent mean &#xb1; SEM. P-values were analyzed with two-way ANOVA. ****P &lt; 0.0001, ***P &lt; 0.001, **P &lt; 0.01, *P &#x2264; 0.05. ns, non-significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1124011-g007.tif"/>
</fig>
<p>Altogether, we conclude that HIF proteins are not involved in the appearance of GCR in liver during sepsis and that HIF1&#x3b1; in hepatocytes of septic animals might be involved in the reduced PPAR&#x3b1; signaling (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Polymicrobial sepsis is a systemic disease, affecting several organ systems. Nevertheless, certain organs are crucial in the progression of sepsis. Within the context of the lack of food intake in sepsis and the consequent SR, the liver is confronted with high levels of FFAs, glycerol and gluconeogenic AAs, which require PPAR&#x3b1; and GR, respectively, to be properly transformed into acetyl-CoA, KBs, and glucose (<xref ref-type="bibr" rid="B8">8</xref>). The acute lack of PPAR&#x3b1; and GR function during sepsis makes the liver key in sepsis (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), not only because this organ produces acute phase proteins (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>). So, the investigation of the mechanistic aspects of these failures of transcription factors is really essential. Because crosstalk of transcription factors in physiology and pathology is a commonly observed phenomenon, we hypothesized that HIF1&#x3b1; and/or HIF2&#x3b1; might play a role in the PPAR&#x3b1; and GR dysfunction during sepsis. To show, unambiguously that HIF factors are activated in liver in sepsis, we applied the CLP model, considered as being the best validated model of polymicrobial (peritoneal) sepsis in mice. Furthermore, we have generated a transgenic HIF-luciferase reporter mouse by using the commercial HRE-luciferase reporter construct, which has been validated as being a tool specific for HIF factors (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Inflammation and hypoxia are unequivocally linked (<xref ref-type="bibr" rid="B42">42</xref>). Just as hypoxia causes inflammation, inflamed tissue can become severely hypoxic (<xref ref-type="bibr" rid="B43">43</xref>). Dynamic changes in (protein) HIF expression occur during sepsis and therefore studies have proposed HIFs as potential biomarkers or important players in sepsis, however results are often controversial. Transcriptome data from peripheral blood mononuclear cells (PBMCs) obtained from sepsis and septic shock patients have shown that hypoxia and glycolysis were among the top scored molecular signatures. Furthermore, the expression of HIF1&#x3b1; and its target genes were higher in non-survivors sepsis patients compared to survivors (<xref ref-type="bibr" rid="B44">44</xref>). In experimental models, HIF1&#x3b1; plays an important role in the bactericidal capacity of macrophages to prevent systemic spreading of an infection (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>), and conditional knock-out of HIF1&#x3b1; or HIF2&#x3b1; in myeloid cells protects mice against LPS-induced endotoxemia by reducing the pro-inflammatory cytokine production, hypothermia, and hypotension (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). Also dimethyloxalylglycine (DMOG), a PHD inhibitor leading to HIF1&#x3b1; stabilization, increased the survival of mice against LPS-induced endotoxemia, however it exacerbated disease severity in polymicrobial sepsis (<xref ref-type="bibr" rid="B48">48</xref>). HIF1&#x3b1; also has a vital role in the initial metabolic shift from oxidative phosphorylation to glycolysis during sepsis (<xref ref-type="bibr" rid="B49">49</xref>), and attenuates the pro-inflammatory response by inducing IRAKM production, a negative regulator of TLR signaling (<xref ref-type="bibr" rid="B50">50</xref>). Taken together, these studies suggest an important role for HIF1&#x3b1; during various stages of sepsis, despite most animal experiments applied suboptimal sepsis model systems, like the LPS-induced endotoxemia mouse model.</p>
<p>Besides this (controversial and incomplete) information from literature, data from our research group urged us to study the role of HIF proteins in hepatocytes during sepsis. Next to a reduced GR DNA-binding profile in CLP mice, we have demonstrated that TNF-mediated GCR could be a result of the sequestration of co-factor p300 to NF-&#x3ba;B, thereby preventing its accessibility to GR (<xref ref-type="bibr" rid="B15">15</xref>). P300 is known as a histone acetyltransferase (HAT) essential for GR-mediated transcription (<xref ref-type="bibr" rid="B51">51</xref>), but also for other transcription factors such as NF-&#x3ba;B and HIF (<xref ref-type="bibr" rid="B52">52</xref>). For example, lysine acetyltransferase 5 (KAT5) and cAMP response element binding protein (CBP)/p300 acetylate histones at HIF bound loci and are required for the transcriptional activation of a subset of HIF target genes (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Recently, it has been shown that hypoxia differentially regulates H3K27 acetylation at GR binding sites (<xref ref-type="bibr" rid="B55">55</xref>). The p300 co-activator is responsible for the increased histone acetylation and the increased recruitment of GR to its DNA binding sites (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Moreover, we and others have shown that there is a clear interaction between HIF and GR (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Therefore, a competition between GR and HIF for the p300 co-activator might thus be responsible for the alterations in the gene expression profile. Next to GCR, sepsis is also characterized by a PPAR&#x3b1; dysfunction in the liver (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Following ligand binding, the AF-2 domain of PPAR&#x3b1; undergoes conformational changes, which allows the interaction of several co-factors such as CBP/p300 (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B59">59</xref>). Therefore, we wanted to investigate whether HIF1&#x3b1; and HIF2&#x3b1; expression in hepatocytes contributes to the GCR and PPAR&#x3b1; failure present in sepsis, as this has not been studied before.</p>
<p>In our studies, bulk RNA-SEQ performed 6h and 24h after onset of a lethal polymicrobial sepsis in mice, convincingly proved that HIF transcription factors are upregulated on the mRNA level, and also lead to a significant accumulation of HIF-dependent transcripts. Using the HRE-luciferase transgenic reporter mice that were generated for this study, HIF activity was detected in the livers of CLP mice 6h post-surgery and remained high until 24h after surgery. Based on the HRE-luciferase reporter activity measured in HIFa<sup>AlbKO</sup> mice, both HIF1&#x3b1; and HIF2&#x3b1; appear responsible for the HIF activity, the signals of which are only annihilated when both HIF1&#x3b1; and HIF2&#x3b1; are knocked out in the hepatocytes. Based on the reporter plasmid (<xref ref-type="bibr" rid="B27">27</xref>), HIF activity was similar in mouse models for endotoxemia and sepsis, and could be compared to the amount of activity observed in hypoxia. Unfortunately, although we were able to detect HIF activity in the liver during sepsis, we were unable to observe a survival benefit in LPS-induced endotoxemia and CLP polymicrobial sepsis in mice lacking HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes. There are two possible explanations for this observation. Either, HIF factors are activated in hepatocytes, but play no mechanistic role in sepsis, or the transcriptional signals and reporter activities that were observed in the liver were from cells other that hepatocytes. Next to hepatocytes, which form 70% of the cells in the liver, 10% of the liver cells are Kupffer cells (KCs) (<xref ref-type="bibr" rid="B60">60</xref>). Also liver sinusoidal endothelial cells (LSECs, 15%) and hepatic stellate cells (HSCs, 5%) cooperate to shape and maintain liver function (<xref ref-type="bibr" rid="B61">61</xref>) and could thus be involved in the HIF activity observed in the liver during sepsis. For follow-up studies, it might also be considered to test the effect of the absence of HIF proteins in hepatocytes in more slowly progressive models of sepsis such as a systemic <italic>Staphylococcus aureus</italic> or <italic>Klebsiella pneumoniae</italic> infection (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>As mentioned earlier, the two main transcription factors involved in the metabolic reprogramming during sepsis in the liver are the GR and PPAR&#x3b1;, associated with hypoglycemia and hyperlactatemia (<xref ref-type="bibr" rid="B10">10</xref>), and increased levels of FFAs and glycerol in the blood (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Upon an infection, the immune system will protect the host by eradicating the pathogen. This is often associated with inflammation and tissue damage, which could harm the host. In order to maintain homeostasis and survive excessive inflammation, cytokines produced by the immune cells will activate the hypothalamus-pituitary-adrenal (HPA) axis and induce GC synthesis as a disease tolerance mechanism (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). We have shown that hypoxia is able to stabilize HIF1&#x3b1; and HIF2&#x3b1; at the hypothalamus and stimulates the HPA axis leading to GC production (<xref ref-type="bibr" rid="B26">26</xref>). Furthermore, this HPA axis activation is essential for sepsis survival, since surgical removal of the pituitary or adrenal glands (<xref ref-type="bibr" rid="B65">65</xref>), or pharmacological inhibition of GR by RU486 (<xref ref-type="bibr" rid="B66">66</xref>) sensitizes mice to sepsis. The GCs produced regulate the disease severity by dampening the inflammatory responses <italic>via</italic> monomeric GR-mediated tethering to transcriptional factors NF-&#x3ba;B and AP-1 (<xref ref-type="bibr" rid="B67">67</xref>). Also the GR dimer is important, because GR<sup>dim/dim</sup> mice are more sensitive and are unable to induce a proper inflammatory response in the absence of proper GR dimerization (<xref ref-type="bibr" rid="B68">68</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>). <italic>In vivo</italic> studies using zebrafish and mice have shown that the upregulation of HIF signaling alters the GR activity and dampens its responsiveness to GR agonists such as DEX and betamethasone (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Furthermore, GCs are essential for hepatic gluconeogenesis to provide sufficient glucose levels (<xref ref-type="bibr" rid="B72">72</xref>). Increased glycolytic activity is associated with an increased conversion of pyruvate into lactate during sepsis (<xref ref-type="bibr" rid="B73">73</xref>). Due to GCR, lactate-based gluconeogenesis in the liver, also known as the Cori cycle, is inhibited in sepsis (<xref ref-type="bibr" rid="B10">10</xref>). In addition, HIF1&#x3b1; also stimulates the expression of glycolytic genes, which further contributes to the conversion of pyruvate into lactate (<xref ref-type="bibr" rid="B74">74</xref>). Therefore, we wanted to investigate the involvement of hepatocyte-specific expression of HIF1&#x3b1; and/or HIF2&#x3b1; in the GCR observed during sepsis, however without any positive results.</p>
<p>Next to GCR, sepsis is also characterized by a PPAR&#x3b1; dysfunction in the liver. This PPAR&#x3b1; dysfunction can, in part, be explained by rapid decline of hepatic PPAR&#x3b1; mRNA and protein levels and activity, which leads to a reduced expression of its target genes involved in FFA &#x3b2;-oxidation (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Since sepsis acutely activates lipolysis in WAT, increased FFA and glycerol levels are present in the blood of sepsis patients (<xref ref-type="bibr" rid="B75">75</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>). As a consequence of PPAR&#x3b1; malfunction, FFAs are no longer oxidized which leads to the ectopic deposition of lipid storages in liver and kidney after sepsis and thereby causes lipotoxicity and tissue damage (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B78">78</xref>). Hypoxia stimulates the release of FFAs in the blood of mice in a GC/GR-dependent way (<xref ref-type="bibr" rid="B26">26</xref>). Since FA catabolism is altered under hypoxia, an excess of intracellularly accumulated FFAs could cause lipotoxicity. Cells try to avoid this by converting FFAs into neutral triacylglycerols (TAGs), which can be stored in lipid droplets and form the main energy depots (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>). HIF1&#x3b1; directly upregulates the expression of acylglycerol-3-phosphate acyltransferase 2 (AGPAT2) (<xref ref-type="bibr" rid="B81">81</xref>) and lipin-1 (<xref ref-type="bibr" rid="B82">82</xref>), both important for the formation of lipid droplets. Furthermore, HIF2&#x3b1; has been shown as a master regulator in hepatic lipid metabolism during hepatosteatosis. The absence of HIF2&#x3b1;, and not HIF1&#x3b1;, in <italic>Vhl</italic> knock-out mice protected against hepatic lipid accumulation (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>). Moreover, Rey et&#xa0;al. (2020) have demonstrated that HIF2&#x3b1; induces the expression of CD36, the major driver of FFA uptake, which triggers lipid accumulation in hepatocytes both <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B85">85</xref>). In addition, HIF2&#x3b1; also increases the expression of the adipose differentiation-related protein (ADRP) in the liver (<xref ref-type="bibr" rid="B86">86</xref>), also involved in FFA uptake, and reduced FA &#x3b2;-oxidation (<xref ref-type="bibr" rid="B87">87</xref>). When oxygen therapy is provided, hepatic steatosis induced by high-fat diet (HFD) is ameliorated <italic>via</italic> the reduction of hepatic HIF2&#x3b1; and lipogenic gene expression (<xref ref-type="bibr" rid="B88">88</xref>). In general, the abovementioned studies suggest that HIF2&#x3b1; increases FFA uptake and <italic>de novo</italic> lipogenesis as well as decreases &#x3b2;-oxidation. Regarding HIF1&#x3b1;, it has been shown that systemic or hepatic <italic>Hif1a</italic> deletion or HIF1&#x3b1; antisense oligonucleotides reduces hepatosteatosis (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B90">90</xref>). On the contrary, other studies revealed HIF1&#x3b1; mediated protection against alcohol-induced fatty liver disease (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>).</p>
<p>It has been shown that PPAR&#x3b1; is essential for sepsis survival. PPAR&#x3b1; knock-out mice are more susceptible to a lethal dose of LPS (<xref ref-type="bibr" rid="B93">93</xref>) and bacterial infections (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B94">94</xref>), which is associated with increased kidney failure and heart injury (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>). Also, mice treated with the PPAR&#x3b1; antagonist GW6471 are more prone to CLP-induced polymicrobial sepsis. Although hepatic PPAR&#x3b1; plays an essential role during sepsis survival, a genome-wide disturbance of PPAR&#x3b1; function is observed in mouse septic livers upon stimulation with the PPAR&#x3b1; agonist GW7647 (<xref ref-type="bibr" rid="B11">11</xref>). Since HIF1&#x3b1; and HIF2&#x3b1; are involved in the regulation of lipid metabolism in the liver (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), and the effect of hepatic HIF protein expression on the PPAR&#x3b1; dysfunction has not been studied in sepsis, we have investigated whether the absence of HIF1&#x3b1; and/or HIF2&#x3b1; in hepatocytes of septic animals influences PPAR&#x3b1; function. We were able to identify some promising results in the absence of HIF1&#x3b1; expression in hepatocytes. It would thus be of great interest to investigate whether hepatic PPAR&#x3b1; stimulation with pemafibrate or GW7647, well known PPAR&#x3b1; agonists, in the absence of HIF1&#x3b1; in hepatocytes during sepsis might be able to restore PPAR&#x3b1; functioning and reduce lipotoxicity.</p>
<p>In summary, we have shown the presence of HIF signaling in the liver during CLP-induced polymicrobial sepsis using RNA-SEQ data and the HRE-luciferase reporter mice. However, hepatocyte-specific knock-out mice for HIF1&#x3b1; and/or HIF2&#x3b1; did not yield any survival benefit against LPS-induced endotoxemia and CLP polymicrobial sepsis. Since a conditional knock-out of HIF1&#x3b1; or HIF2&#x3b1; in myeloid cells protects against LPS (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), it might be of interest to study whether KC specific knock-out mice for HIF1&#x3b1; and/or HIF2&#x3b1; are protected against LPS-induced endotoxemia and CLP polymicrobial sepsis. Another option could be to revisit the RNA-SEQ data in single cell populations, or in FACS-separated cell types of the liver, and equally so revisit the luciferase reporter data. Unfortunately, the absence of HIF proteins in hepatocytes is not able to prevent GCR in sepsis. Finally, we were able to identify a potential role for HIF1&#x3b1; in hepatocytes of septic animals in the reduced PPAR&#x3b1; signaling.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: Liver &#x2013; CLP dataset We used liver CLP datasets GSE160795 and GSE160830 that were processed as described in Vandewalle et&#xa0;al. (2021) (<xref ref-type="bibr" rid="B10">10</xref>). Liver &#x2013; Hypoxia dataset We used liver hypoxia datasets GSE162100 and GSE162155 that were processed as described in Vanderhaeghen et&#xa0;al. (2021) (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Institutional ethics committee for animal welfare of the Faculty of Sciences, Ghent University, Belgium.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>TV conceived and performed the experiments and co-wrote the manuscript. ST performed all bio-informatics analysis of RNA sequencing. JV, CW, LN, DW performed experiments. JV performed the CLP experiment with DEX stimulation in HIF1a<sup>AlbKO</sup> mice to study the GCR. LN performed the CLP experiment with DEX stimulation in HIF2a<sup>AlbKO</sup> mice to study the GCR. TH generated the HRE-Luc mice. ME, SD, and JB provided general technical assistance. JT and NS provided an imaging chamber of the IVIS Spectrum <italic>In Vivo</italic> Imaging System. RB and CL supervised the research and co-wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>Research in the author&#x2019;s laboratories was funded by the the Research Council of Ghent University (GOA grant BOF19-GOA-004 and Methusalem grant BOF.MET.2021.0001.0), the Research Foundation Flanders (FWO-Vlaanderen Research grants G025220N and G014921N and SBO-grant S002721N and S003122N) and Flanders Institute for Biotechnology (VIB).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors wish to thank Ben Wielockx for providing HIF1a<sup>fl/fl</sup> and HIF2a<sup>fl/fl</sup> mice. We thank Joke Vanden Berghe and animal house caretakers for animal care. We acknowledge the VIB Nucleomics Core for RNA sequencing.</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.2023.1124011/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1124011/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.pdf" id="SF1" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>
<italic>Hif</italic> mRNA and HIF proteins levels in hepatocyte-specific HIF1&#x3b1; and/or HIF2&#x3b1; knock-out mice. <bold>(A-C)</bold> Livers of HIF1a<sup>AlbKO</sup> <bold>(A)</bold>, HIF2a<sup>AlbKO</sup> <bold>(B)</bold>, or HIF1aHIF2a<sup>AlbKO</sup> <bold>(C)</bold> mice and wild-type littermates were isolated and the expression levels of <italic>Hif1a</italic> and <italic>Epas1</italic> were measured <italic>via</italic> RT-qPCR. All bars represent mean &#xb1; SEM. P-values were analyzed with two-way ANOVA. ****P&lt;0.0001, **P&lt;0.01, *P &#x2264; 0.05.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.pdf" id="SF2" mimetype="application/pdf">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>HRE-luciferase activity detected in LPS-induced endotoxemia <italic>versus</italic> CLP polymicrobial sepsis. <bold>(A)</bold> C57BL/6J mice were injected with the HRE-luciferase reporter plasmid <italic>via</italic> the tail vein using high-pressure injections. After incubation, mice were injected with PBS or LPS, or were subjected to a sham or CLP procedure. 6h later, livers were visualized using the IVIS SpectrumCT system. Log<sub>10</sub> of the bioluminescent photon counts in liver of mice subjected to LPS or CLP and PBS and sham as control (n=3/group). All bars represent mean &#xb1; SEM. P-values were analyzed with two-way ANOVA. **P&lt;0.01.</p>
</caption>
</supplementary-material>
</sec>
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