<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    jbm
   </journal-id>
   <journal-title-group>
    <journal-title>
     Journal of Biosciences and Medicines
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2327-5081
   </issn>
   <issn publication-format="print">
    2327-509X
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/jbm.2024.129011
   </article-id>
   <article-id pub-id-type="publisher-id">
    jbm-135884
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    On the Impairment of Stress-Induced Changes in Triglyceride Levels via a Sub-Toxic Dose of Unmethylated Cytidine Phosphate Guanosine Oligodinucleotide (a Toll-Like Receptor 9 Ligand)
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Reiko
      </surname>
      <given-names>
       Seki
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Kazuhisa
      </surname>
      <given-names>
       Nishizawa
      </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-group> 
   <aff id="aff1">
    <addr-line>
     aSchool of Medical Technology, Teikyo University, Tokyo, Japan
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aBiomolecular Logic Research Laboratory, Tokyo, Japan
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aKamiikedai Laboratory, Tokyo, Japan
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     02
    </day> 
    <month>
     09
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    12
   </volume> 
   <issue>
    09
   </issue>
   <fpage>
    95
   </fpage>
   <lpage>
    112
   </lpage>
   <history>
    <date date-type="received">
     <day>
      22,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      8,
     </day>
     <month>
      July
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      8,
     </day>
     <month>
      September
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Changes in lipid metabolism have been implicated in protection against infectious diseases. In the first experiment of this study, we measured clinical lipid parameters in a murine model where the unmethylated cytidine phosphate guanosine (CpG) oligodinucleotide (ODN1826), a Toll-like receptor 9 (TLR9) agonist was administered in combination with D-galactosamine (GalN) that caused relatively liver-specific inflammation and toxicity. In the control mice group injected with phosphate-buffered saline (PBS) (acute psychological stress model associated with blood sampling), the serum triglyceride (TG) levels showed a rapid decrease followed by a rebound at 24 h as we have recently reported. However, such a TG rebound was impaired in the CpG/GalN- and solely CpG-treated groups of mice despite an absence of liver injury based on serum alanine aminotransferase levels in the latter group. Thus, the stress-associated serum TG rebound was abrogated by the injection of a sub-hepatotoxic CpG dose. In the second experiment, we simply measured the hepatic CD36 and SACRB1 (the gene for scavenger receptor B1 (SR-B1)) transcripts after the i.p. administration of PBS, CpG or CpG/GalN. There was a remarkable elevation of hepatic CD36 transcript expression in both the CpG- and CpG/GalN-treated mice at 8 h post-CpG injection whereas the increase in the PBS-treated mice was slower than the former two groups, suggesting that hepatic CD36 transcript expression is more pronounced in the combined stress models than under psychological stress alone. The individual mice data showed that the increase in CD36 expression was accompanied by a reduction in SCARB1 mRNA, showing reciprocal regulation between these two genes. Together with our previously reported findings, these data suggest that, in a murine model combining psychological stress with TLR-triggered hepatic inflammation, the psychological stress facilitates liver uptake of plasma TG (and its components fatty acids), but the subsequent re-esterification and/or release of TG-rich lipoproteins from the liver is impaired due to the concomitant TLR-signaling. We hypothesize that lipid metabolism during acute stress shifts toward an elevated hepatic uptake of lipids due to concomitant TLR signaling, facilitating the clearance of bacterial lipids by the liver.
   </abstract>
   <kwd-group> 
    <kwd>
     Toll-Like Receptor 9
    </kwd> 
    <kwd>
      Cytidine Phosphate Guanosine Oligodinucleotide
    </kwd> 
    <kwd>
      Scavenger Receptor B1
    </kwd> 
    <kwd>
      Triglyceride
    </kwd> 
    <kwd>
      Hepatic Inflammation
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Regulation of lipid metabolism is essential in the control of the systemic metabolism. Lipid transport among organs as well as the energy metabolism of many organs and tissues are regulated by many factors. A number of hormones, including insulin, adipocyte hormones, glucocorticoids, leptin, and thyroid hormones, are well-known players in the regulation. Catecholamines and the sympathetic nervous system also play an important role in the triglyceride (TG) metabolism <xref ref-type="bibr" rid="scirp.135884-1">
     [1]
    </xref>, accounting for the coordination of the diet and the lipid metabolism. Regarding the role of the neuroendocrine system in lipid metabolism, administration of adrenaline and acute stress have been shown to cause an increase in plasma lipoprotein lipase (LPL) activity coinciding with a decrease in white adipose tissue LPL activity <xref ref-type="bibr" rid="scirp.135884-2">
     [2]
    </xref> <xref ref-type="bibr" rid="scirp.135884-3">
     [3]
    </xref>. LPL is one of the major regulators of the plasma TG level: the higher plasma LPL activity generally corresponds to the higher activity of the cellular utilization of the fatty acids (FAs) comprising the TG in the plasma <xref ref-type="bibr" rid="scirp.135884-4">
     [4]
    </xref>. Besides the endocrine systems, several proinflammatory cytokines can produce changes in plasma TG levels <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref>, implying the interplay between immune system and the lipid metabolism. Although we cannot discuss it in detail here, other factors regulating lipid metabolism include short-chain fatty acids produced by the bacterial flora <xref ref-type="bibr" rid="scirp.135884-6">
     [6]
    </xref> and vitamins <xref ref-type="bibr" rid="scirp.135884-7">
     [7]
    </xref>.</p>
   <p>Recent studies of the innate immunity postulate that immunological stimulations trigger cell responses, where the triggers can be either of pathogen- or danger-associated molecular patterns (PAMPs or DAMPs). The DAMPs are generated in the integrated stress response (ISR), for which heat shock response, unfolded protein response, DNA damage response, and the responses to oxidative stress are the well-studied elements <xref ref-type="bibr" rid="scirp.135884-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.135884-9">
     [9]
    </xref>. In immune cells such as macrophages, the signaling pathways triggered by the detection of PAMPs or DAMPs via a wide range of pattern-recognition receptors (PRRs) including Toll-like receptors lead to the activation of NF-κB, the master regulator of inflammation and innate immune homeostasis. The ISR signaling promotes communication between neighboring cells in local inflammation through DAMPs that serve as communication signals <xref ref-type="bibr" rid="scirp.135884-10">
     [10]
    </xref>. The activation of NF-kB promotes transcription of a large set of pro-inflammatory genes <xref ref-type="bibr" rid="scirp.135884-11">
     [11]
    </xref>. Thus, we can use the term “immunological stress” to indicate the cellular and systemic responses to bacterial or viral components with the consideration that aseptic cellular stress responses can also cause similar proinflammatory cytokines production. Immunological stress promotes the elimination and inactivation of pathogens, but, in a broader scope, promotes the protection and recovery of tissues from a wide variety of cellular stresses. Although we do not review in depth here, a number of recent studies focus on the formation of NLRP3 inflammasome, implicating this formation in the crosstalk between inflammation and lipid metabolism regulation. This is of clinical relevance as the formation of NLRP3 inflammasome by DAMPs is considered to have a central role in obesity-induced inflammation, insulin resistance and type 2 diabetes mellitus <xref ref-type="bibr" rid="scirp.135884-12">
     [12]
    </xref> <xref ref-type="bibr" rid="scirp.135884-13">
     [13]
    </xref>.</p>
   <p>Although the experimental studies addressing the systemic metabolism changes upon the immunological stress are relatively few, a wide range of changes in lipid metabolism are known to occur during infection and inflammation <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref>. For example, increased serum TG levels and reduced oxidation of FA in multiple organs have been reported in several animal experiments mimicking sepsis <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.135884-14">
     [14]
    </xref>. Notably, some of these changes in lipid metabolism during infection and inflammation have shown beneficial effects in experimental systems <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref>. For example, high levels of TG-rich lipoproteins in sepsis and endotoxemia have been shown to be beneficial: it is hypothesized that they can help in the neutralization and disposal of microbe-derived lipids such as lipopolysaccharide (LPS) and lipoteichoic acid (LTA), PAMPs derived from Gram-negative and Gram-positive bacteria, respectively <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.135884-15">
     [15]
    </xref>. Inactivation (detoxification) of LPS and LTA by chylomicrons and lipid-binding proteins (LBPs) has been shown by Vreugdenhil et al. <xref ref-type="bibr" rid="scirp.135884-16">
     [16]
    </xref>. Harris et al. showed that chylomicrons can protect rats from endotoxin toxicity, partly by facilitating endotoxin clearance <xref ref-type="bibr" rid="scirp.135884-17">
     [17]
    </xref>, as we consider further in the Discussion section.</p>
   <p>Regarding metabolism during systemic inflammation, it has been well-documented that the situation in the liver is different from that in other organs <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>. The administration of LPS, tumor necrosis factor (TNF) or IL-1 suppressed FA oxidation in multiple tissues and caused adipose tissue lipolysis, but enhanced hepatic uptake of FA and re-esterification of FA into TG <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>. Consistent with this, LPS injection caused a reduction in the mRNA levels of FA transport protein (FATP) and CD36 protein (formerly termed FA translocase, or FAT or platelet glycoprotein 4) in multiple organs; however, in the liver, while the FATP mRNA decreased, the CD36 mRNA level increased by 4- to 5-fold <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>. These findings suggested that the liver-specific changes in lipid metabolism in endotoxemia are at least in part mediated by the regulation of CD36 expression in the liver. These results also led the authors to hypothesize that, while the FATP-mediated hepatic uptake of FA may be linked to mitochondrial oxidation, CD36 transports FA to the cytoplasm for re-esterification into TG <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>. Conversely, hepatic SR-B1 mRNA levels showed a prolonged decrease upon LPS administration <xref ref-type="bibr" rid="scirp.135884-15">
     [15]
    </xref>, suggesting distinct roles for CD36 and SR-B1 proteins in hepatocytes, despite both belonging to the same class B family of scavenger receptors <xref ref-type="bibr" rid="scirp.135884-19">
     [19]
    </xref>. Of note, The SR-B1 protein has been well-studied as a receptor for high-density lipoprotein (HDL) that mediates the selective uptake of HDL-associated cholesterol-ester (CE) <xref ref-type="bibr" rid="scirp.135884-20">
     [20]
    </xref>. In contrast to SR-B1, CD36 is known to serve as transporter for multiple ligands including FA, oxidized-LDL (ox-LDL), HDL, glycated proteins, serum amyloid A and thrombospondin-1 <xref ref-type="bibr" rid="scirp.135884-21">
     [21]
    </xref>. Given such differential systemic roles, it seems plausible that they have distinct roles in the liver.</p>
   <p>Hepatic CD36 expression has been shown to change quickly by a variety of stimuli, including stress <xref ref-type="bibr" rid="scirp.135884-22">
     [22]
    </xref> <xref ref-type="bibr" rid="scirp.135884-23">
     [23]
    </xref>. In acute stress, this change is considered to facilitate lipid uptake of FA derived from plasma TG in combination with the release of lipoprotein lipase into plasma <xref ref-type="bibr" rid="scirp.135884-3">
     [3]
    </xref> <xref ref-type="bibr" rid="scirp.135884-24">
     [24]
    </xref>. We found that serum TG levels showed a rapid decrease followed by a rebound at 24 h in our restraint stress model where tail blood sampling was conducted repeatedly on mice fixed in a conical tube. We proposed that this change in TG levels during acute stress may be beneficial in the clearance of bacterial lipids <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. Notably, some authors have focused on the effect of the acute stress model on the susceptibility to endotoxin shock <xref ref-type="bibr" rid="scirp.135884-26">
     [26]
    </xref> <xref ref-type="bibr" rid="scirp.135884-27">
     [27]
    </xref>. However, to our knowledge, the specific implications of such CD36 regulation of stress have not been studied in detail. It is also of clinical interest to study the effect of stress on lipid metabolism not only in healthy animal models/patients but also in animal models/patients suffering from liver dysfunction or inflammation.</p>
   <p>We have recently reported that the administration of unmethylated cytidine phosphate guanosine (CpG) dinucleotide, a ligand of Toll-like receptor 9 (TLR9) in combination with D-galactosamine (GalN) can cause relatively liver-specific toxicity and inflammation, compared to the well-studied endotoxemia murine model using LPS where multi-organ injury and systemic inflammation are known to occur <xref ref-type="bibr" rid="scirp.135884-28">
     [28]
    </xref>. In our CpG/GalN experiments, we employed the same blood sampling scheme that we previously described as causing acute stress that triggers the rapid TG level changes <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. Therefore, in our CpG/GalN murine model, mice were subjected to two types of stress: restraint stress due to tail blood sampling (denoted as psychological stress although blood sampling-associated physical stresses are also involved) as well as the hepatotoxin-mediated stress that is associated with inflammation.</p>
   <p>In this study, we examined the changes in lipid metabolism in our CpG/GalN murine model. Our specific aim was to investigate the presence of synergy in lipid metabolism in the two stress scenarios, namely psychological stress and hepatic inflammation/injury. In the second experiment, we examined changes in CD36 transcript expression in the CpG/GalN-treated mice (hepatic inflammation/injury model) in comparison with phosphate-buffered saline (PBS)-injected mice. To gain insight into the differential roles of CD36 and SR-B1, which has been well-studied as an HDL-associated cholesteryl ester (CE) transporter in adrenal glands and liver, we also examined the hepatic gene regulation of SCARB1, the gene encoding SR-BI protein, in comparison with CD36.</p>
  </sec><sec id="s2">
   <title>2. Methods</title>
   <p>The preparation of mice and details of the experimental procedures were similar to those we have described previously <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref> <xref ref-type="bibr" rid="scirp.135884-28">
     [28]
    </xref>. Briefly, female C57BL/6 mice (7 - 8 weeks old) were given access to food and water ad libitum and maintained on a 12-h light/dark cycle (lights on at 8 AM). In the first experiment (the measurement of the lipids parameters) 18 mice were divided into the following three groups (n = 6 for each): namely, “PBS”, “CpG” and “CpG/GalN”. These groups were intraperitoneally (i.p.) injected with 100 μL PBS, 15 μg CpG in PBS and 15 μg CpG/20 mg GalN in PBS, respectively, as described previously <xref ref-type="bibr" rid="scirp.135884-28">
     [28]
    </xref>. Blood (50 μL) was sampled from the tail veins of all mice at 1, 5, 8, 24, and 48 h after the i.p. injection. The mice were kept in their cages and, only at the time of blood sampling, were placed inside the restrainer designed in-house from a 50 mL conical polypropylene tube as described previously <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. Of note, this procedure (i.e. the repeated restrain/blood sampling) serves as an acute stressor <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. We termed the PBS group the psychological stress model, although, strictly speaking, besides the psychological stress, any physiological stress associated with blood loss should also be considered. Serum alanine aminotransferase (ALT), TG and free FA (FFA) levels were measured using Drychem (Fujifilm, Japan) according to the manufacturer’s protocol.</p>
   <p>In the second experiment (i.e. the hepatic transcripts measurement), 42 mice were divided into the three groups of 14 mice, namely, PBS<sup>liver</sup>, CpG<sup>liver</sup>, and CpG/GalN<sup>liver</sup>, and each group was further divided into the three groups which were euthanized for the liver sampling at different time points, that is, 8 (n = 4), 24 (n = 4) and 48 h (n = 6) after the i.p. injection performed in the same manner as in the first experiment. Unlike the first experiment, the mice of the second experiment were not subjected to the tail blood sampling and therefore they were largely free from the psychological stress except for the initial i.p. injection until the time for euthanasia. In addition to the three groups, the wild-type mice (n = 5) that were not subjected to any treatment were taken from the cage and euthanized for the liver sampling. Total liver RNA was isolated and measurement of CD36, SCARB1 and hypoxanthine phosphoribosyl transferase (HPRT) transcript copy numbers was performed using quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) as previously described <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. Briefly, total liver RNA was purified using the NucleoSpin RNA kit (Macherey-Nagel, Germany). After reverse transcription using random sequence primers, cDNA was subjected to qRT-PCR analysis. The HPRT transcript was used as an internal standard. The CD36/HRPT as well as SCARB1/HPRT transcript ratios were measured using TB Green® Premix Ex Taq™ II (Takara Bio, Japan) following the protocol of the manufacturer. The primer sequences (5′ to 3′) were as follows: CD36 forward, GGCCAAGCTATTGCGACATG; CD36 reverse, CCGAACACAGCGTAGATAGAC; SCARB1 forward, CGTTGTCATGATCCTCATGGT; SCARB1 reverse, ACAGGCTGCTCGGGTCTAT; HPRT forward, TTGTTGTTGGATATGCCCTTGACTA; HPRT reverse, AGGCAGATGGCCACAGGACTA. Of note, the SCARB1 primers were derived from the SCARB1 nucleotide sequence deposited in GenBank ID: BC004656. The cycling conditions were as follows: 94˚C for 3 min, followed by 40 cycles of 94˚C for 20 s, 65˚C for 20 s, and 72˚C for 15 s.</p>
   <p>All experiments were performed using protocols approved by the experimental animal committee of Teikyo University, Japan.</p>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>Our recently reported mouse experiments showed that the administration of a combination of CpG/GalN leads to inflammation and tissue injury that is mostly confined to the liver compared with the administration of other TLR ligands <xref ref-type="bibr" rid="scirp.135884-28">
     [28]
    </xref>. Consistent with this report, mice in the CpG/GalN group showed alanine aminotransferase (ALT) leakage indicating liver injury (<xref ref-type="fig" rid="fig1(a)">
     Figure 1(a)
    </xref>), whereas both the PBS and CpG groups did not show such ALT leakage. This is in agreement with our previous studies showing that GalN sensitizes the effect CpG and therefore this combination causes fulminant hepatitis, while the proinflammatory effect of the CpG injection at this dose alone is not hepatotoxic based on the ALT leakage levels <xref ref-type="bibr" rid="scirp.135884-29">
     [29]
    </xref>. The administration of 10 μg of CpG in mice has been shown to cause increases in the circulating levels of TNF and IL-6 <xref ref-type="bibr" rid="scirp.135884-30">
     [30]
    </xref> although these have not been measured in the present study.</p>
   <p>In the PBS and CpG/GalN groups, a rapid decrease in the serum TG concentration was observed 1 - 8 h after the initial injection (i.e. 0 - 7 h after the first blood sampling) (<xref ref-type="fig" rid="fig1(b)">
     Figure 1(b)
    </xref>). Although the CpG group showed much lower TG levels than the other groups at 1 h likely resulting from a rapid TG decrease immediately after the stress due to the i.p. injection, in the remaining two groups, the serum TG level decreased markedly from ~80 mg/dL to approximately 30 mg/dL at 8 h and exhibited a rebound later (at 48 h). This rapid TG decrease and rebound can be explained as a response to acute psychological stress due to restraint/tail blood sampling as we have reported previously <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. However, while the TG rebound was approximately 2 - 3-fold of the basal level observed in the PBS group (<xref ref-type="fig" rid="fig1(b)">
     Figure 1(b)
    </xref>), it was less pronounced and slower to occur in the CpG/GalN group, with serum TG levels being greater at 48 h than at 24 h. Strikingly, the CpG group did not display the TG rebound, as shown by the lack of the statistical significance between the 24 and 48 h data, despite the lack of appreciable liver injury based on serum ALT levels (<xref ref-type="fig" rid="fig1(a)">
     Figure 1(a)
    </xref> and <xref ref-type="fig" rid="fig1(b)">
     Figure 1(b)
    </xref>). As our experimental system imposed acute psychological stress during blood sampling <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>, we concluded that the changes in serum TG levels triggered by acute stress were abrogated by the CpG treatment. Regarding serum levels of free FAs (FFAs), both CpG and CpG/GalN groups showed a similar rapid decrease at 8 h similar to the PBS group (<xref ref-type="fig" rid="fig1(c)">
     Figure 1(c)
    </xref>), but no consistent pattern was observed at 24 and 48 h as the CpG/GalN group showed lower FFA levels while the CpG alone group exhibited higher FFA values compared to the PBS group.</p>
   <fig id="fig1" position="float">
    <label>Figure 1</label>
    <caption>
     <title>Figure 1. The serum metabolic parameters plotted as a function of the duration after the i.p. injection for the PBS (indicated as “cont”), CpG, and CpG/GalN groups. (a) ALT activity, (b) TG, and (c) free FAs. Notably, the tail blood sampling was performed at 1, 5, 8, 24, and 48 h after i.p. The symbols *, †, and ‡ denote the statistical significance (p &lt; 0.05) compared to the corresponding 1 h data for the PBS (control), CpG, and CpG/GalN groups, respectively. The symbols **, ††, and ‡‡ denote the significant difference (p &lt; 0.05) between 24 h and 48 h for the PBS (control), CpG, and CpG/GalN groups, respectively. # denotes the difference (p &lt; 0.05) between the PBS (Control) and the CpG (and CpG/GalN) group.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2152713-rId14.jpeg?20240911024357" />
   </fig>
   <p>Previous studies, including ours, have suggested that CD36 plays an important role in the rapid regulation of serum TG levels <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref> <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. To gain insight into CD36 gene regulation in the liver-injury model, we measured CD36 transcript levels in a separately designed experiment. This measurement was carried out in comparison with that of the SCARB1 transcript that encodes the SR-B1 protein whose expression in the hamster liver has exhibited a prolonged decrease after LPS stimulation <xref ref-type="bibr" rid="scirp.135884-15">
     [15]
    </xref>, even though both SR-B1 and CD36 belong to the class B family of scavenger receptors and that the CD36 transcript is known to increase after endotoxemia in a mouse model <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>.</p>
   <p>To gain some insights into the mechanism underlying the changes in the serum TG levels shown above, we measured the CD36 and SCARB1 transcript levels in the liver of the mice sacrificed at 8, 24, and 48 h after the i.p. injections of PBS (PBS<sup>liver</sup> group), CpG (CpG<sup>liver</sup> group) or CpG/GalN (CpG/GalN<sup>liver</sup> group). Of note, unlike the first experiment, the mice for this experiment were not subjected to the tail blood sampling and, therefore, they were largely free from the psychological stress until the time for euthanasia, except for the initial i.p. injection.</p>
   <p>
    <xref ref-type="fig" rid="fig2">
     Figure 2
    </xref> shows the ratio of (CD36 transcript level)/(HPRT transcript level) after normalizing the ratios using the wild-type mice value as the reference. As the ratios of 5,000 - 15,000 indicate, in both the CpG<sup>liver</sup> and CpG/GalN<sup>liver</sup> groups, a markedly rapid increase in CD36 expression was observed at 8 h after the treatment (<xref ref-type="fig" rid="fig2(a)">
     Figure 2(a)
    </xref>). The CD36/HPRT ratio further increased at 48h in both mouse groups, to the points greater compared to the PBS<sup>liver</sup> mice. Contrary to the CD36 transcript data, the SCARB1 transcript did not show such increases. As the small ratios of &lt;0.05 show, their values in the CpG-injected mice (CpG<sup>liver</sup>) were reduced to very low levels compared to the wild-type mice (<xref ref-type="fig" rid="fig2(b)">
     Figure 2(b)
    </xref>). In the CpG/GalN-injected mice, although some level of expression (~0.2) was observed at 8 h, it decreased at 24 h and 48 h (<xref ref-type="fig" rid="fig2(b)">
     Figure 2(b)
    </xref>). Strikingly, the overall results of the PBS<sup>liver</sup> were similar to those of CpG/GalN<sup>liver</sup> group for both CD36 and SCARB1 transcripts. Considering that, in the second experiment, the repeated blood sampling (with the mouse restraint) was not performed, these findings indicate that the initial i.p. injection of PBS alone can cause the stress sufficient for the increase in hepatic CD36 transcript and the downregulation of the SCARB1 transcript.</p>
   <p>We inspected the individual mice data of the PBS<sup>liver</sup> group in an attempt to know the cause for the large SD shown in <xref ref-type="fig" rid="fig2">
     Figure 2
    </xref> (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). For the PBS<sup>liver</sup> group, there was a large variance among the mice at 8 h post-injection (<xref ref-type="table" rid="table1">
     Table 1
    </xref>), i.e. two of the four mice showed increases in CD36 transcripts while the remaining two mice did not (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). A similar variance was seen among the four mice sacrificed at 24 h post-injection, although all of the six mice sacrificed at 48 h post-injection showed elevated CD36 transcript levels. Intriguingly, the pattern of SCARB1 transcript changes was opposite to that of CD36; the increase in CD36 expression was accompanied by a decrease in the SCARB1 transcript level. These findings point to an inverse correlation between CD36 and SCARB1 expression.</p>
   <fig id="fig2" position="float">
    <label>Figure 2</label>
    <caption>
     <title>Figure 2. qRT-PCR analyses of CD36 and SCARB1 transcripts. The figure shows the ratio of CD36 transcript/HPRT transcript normalized against the value based on five stress-free wild-type mice. The absolute signal intensities for the HPRT transcript were on a similar level across all three groups of mice (the range = 23 - 64, the mean = 44.6, and the SD = 12.0), validating the procedures for RNA purification and reverse transcription. For the CD36 transcript, all 8, 24, and 48 h data showed greater values compared to the wild-type mice data (p &lt; 0.01). For the SCARB1 transcripts, all 8, 24 and 48 h data showed smaller values compared to the wild-type data (p &lt; 0.01). For PBS<sup>liver</sup> mice, the data shown with n.d in <xref ref-type="table" rid="table1">
       Table 1
      </xref> were not included and therefore the presented data at 8 and 48 h are not accurate. *shows the significant difference (p &lt; 0.05) when compared with the corresponding PBS<sup>liver</sup> group data, under the assumption that the n.d. data (<xref ref-type="table" rid="table1">
       Table 1
      </xref>) can be excluded as an outlier.</title>
    </caption>
    <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2152713-rId15.jpeg?20240911024357" />
   </fig>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.135884-"></xref>Table 1. Hepatic expression of CD36 and SCARB1 transcripts for the PBS<sup>liver</sup> group.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="24.99%">Mouse<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="25.01%">Time point<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="24.99%">Normalized CD36/HPRT<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="25.01%">Normalized SCARB1/HPRT<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="24.99%">8-1<p style="text-align:center"></p></td> 
      <td rowspan="4" class="custom-top-td acenter" width="25.01%">8 h<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="24.99%">10,919<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="25.01%">n.d.<sup>*</sup><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">8-2<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">12,777<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.003<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">8-3<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">2<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">1.226<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="24.99%">8-4<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="24.99%">28<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="25.01%">1.198<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="24.99%">24-1<p style="text-align:center"></p></td> 
      <td rowspan="4" class="custom-top-td acenter" width="25.01%">24 h<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="24.99%">13,067<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="25.01%">0.001<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">24-2<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">18,788<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.010<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">24-3<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">0.6<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">1.655<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="24.99%">24-4<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="24.99%">0.5<p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="25.01%">1.427<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="24.99%">48-1<p style="text-align:center"></p></td> 
      <td rowspan="6" class="custom-top-td acenter" width="25.01%">48 h<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="24.99%">14,792<p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="25.01%">0.021<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">48-2<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">9566<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.003<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">48-3<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">10,760<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.002<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">48-4<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">13,558<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.003<p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">48-5<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">10,480<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">n.d.<sup>*</sup><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="24.99%">48-6<p style="text-align:center"></p></td> 
      <td class="acenter" width="24.99%">16,154<p style="text-align:center"></p></td> 
      <td class="acenter" width="25.01%">0.011<p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p><sup>*</sup>n.d. represents “not determined” because the PCR product level was lower than the detectable level.</p>
   <p>Of note, our finding of a reduction in SCARB1 mRNA corroborates a previous report where an LPS challenge reduced the hepatic SR-B1 mRNA levels in hamsters <xref ref-type="bibr" rid="scirp.135884-15">
     [15]
    </xref>.</p>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>Accumulating evidence shows that changes in lipid metabolism are involved in the responses to acute psychological stress as well as to stress due to pro-inflammatory challenges in mammals <xref ref-type="bibr" rid="scirp.135884-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.135884-24">
     [24]
    </xref>. In real-life scenarios, these two types of stresses, namely, psychological and immunological stresses, can occur simultaneously. In the present study, we used the CpG/GalN murine model to examine the effects of the two types of stresses on circulating lipid parameters. The combination of CpG (a TLR9 ligand) and GalN administration in mice causes acute fulminant hepatitis accompanied by severe hepatic injury and by modest levels of inflammation and injury of non-liver organs <xref ref-type="bibr" rid="scirp.135884-28">
     [28]
    </xref>. In this model, all three mouse groups were exposed to the restraint stress that is imposed due to our blood sampling procedure. The PBS group exhibited a rapid decrease in the serum TG and FA levels that was followed by a subsequent rebound of serum TG that was caused by mainly psychological stress <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. Thus, the CpG/GalN mice model represents a realistic scenario where an immunological and psychological stress are combined.</p>
   <p>Intriguingly, either a CpG or a CpG/GalN injection was able to abrogate the psychological stress-associated TG rebound observed in the PBS group (<xref ref-type="fig" rid="fig1(a)">
     Figure 1(a)
    </xref>). It is notable that, despite an absence of liver injury (based on ALT release), the CpG group exhibited a severe impairment in the TG rebound compared to the PBS group. Thus, even sub-hepatotoxic levels of CpG injection can cause the abrogation of the psychological stress-associated TG rebound. In the following sections, we discuss the possible mechanisms and the relevance of this finding.</p>
   <p>We observed rapid hepatic increases of the CD36 transcript in the PBS, CpG, and CpG/GalN groups (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). This finding is reminiscent of the LPS-induced upregulation of hepatic CD36 mRNA levels <xref ref-type="bibr" rid="scirp.135884-18">
     [18]
    </xref>. The increase was more rapid and pronounced in the CpG and CpG/GalN groups compared to the PBS group (<xref ref-type="fig" rid="fig2">
     Figure 2
    </xref> and <xref ref-type="table" rid="table1">
     Table 1
    </xref>), supporting the view that CD36 expression can be upregulated by a variety of stress events and that the degree of CD36 upregulation is somewhat proportional to the overall stress level: the greater the total stress, the more pronounced the upregulation becomes. An increased CD36 expression appears to be important in the regulation of lipid metabolism in both acute psychological and acute pro-inflammatory stress. In the endotoxemia model mice, higher CD36 levels may facilitate the liver uptake (and disposal) of lipidic toxins (see below for further discussion).</p>
   <p>Notably, we observed a reciprocal pattern in the hepatic gene regulation of CD36 and SCARB1 (<xref ref-type="table" rid="table1">
     Table 1
    </xref>); when the CD36 expression increased, the SCARB1 expression decreased, whereas when CD36 expression level remained low, the SCARB1 expression remained high. Although we have not examined the possible difference between Kupffer cells and hepatocytes in this regard, Kuhovidunkit et al. showed that LPS-induced decrease in hepatic SR-B1 mRNA in hamsters is at least in part accounted for by hepatocytes <xref ref-type="bibr" rid="scirp.135884-15">
     [15]
    </xref>. To our knowledge, the mechanism for the CD36/SR-BI reciprocity has not been studied well. Although our data were based on a small set of experiments requiring further analysis, it would be relevant to consider the potential benefit of this reciprocity for mammals.</p>
   <p>The CD36 and SR-B1 proteins belong to the same class B family of scavenger receptors <xref ref-type="bibr" rid="scirp.135884-19">
     [19]
    </xref>, but their roles are distinct. The SR-B1 protein has been well-studied as a receptor for high-density lipoprotein (HDL) that mediates the selective uptake of HDL-associated cholesterol-ester (CE) <xref ref-type="bibr" rid="scirp.135884-20">
     [20]
    </xref>. SR-B1 is expressed predominantly in liver and steroidogenic tissues (i.e. testis, ovaries, and adrenals) SR-B1 can also bind to other ligands including unmodified low-density lipoprotein (LDL) and very-low-density lipoprotein (VLDL), but its role in the cellular uptake of HDL has been best studied <xref ref-type="bibr" rid="scirp.135884-20">
     [20]
    </xref> <xref ref-type="bibr" rid="scirp.135884-31">
     [31]
    </xref>. In the liver, SR-B1 is important for the hepatic uptake of CE from HDL, as well as for biliary cholesterol secretion <xref ref-type="bibr" rid="scirp.135884-32">
     [32]
    </xref>. In contrast to SR-B1, CD36 serves as transporter for multiple ligands including FA, oxidized-LDL (ox-LDL), HDL, glycated proteins, serum amyloid A and thrombospondin-1 <xref ref-type="bibr" rid="scirp.135884-21">
     [21]
    </xref>. The role of CD36 in FA uptake in heart, skeletal muscles, and adipocytes has been characterized particularly well, but its expression level in liver is negligibly low under normal circumstances <xref ref-type="bibr" rid="scirp.135884-33">
     [33]
    </xref> <xref ref-type="bibr" rid="scirp.135884-34">
     [34]
    </xref>. Its role in ox-LDL uptake, formation of foam cells, and contribution to the pro-atherosclerotic state may also be important, but its physiological role in HDL uptake may be less important <xref ref-type="bibr" rid="scirp.135884-35">
     [35]
    </xref>. Therefore, it seems reasonable to speculate that, while SR-B1 is important in the cellular uptake of HDL-associated CE, CD36 is more important in the uptake of FA (in particular, the FA constituting TG,) in a physiological setting.</p>
   <p>In the acute psychological and immunological stresses that work through the innate immune system, it is likely that the physiological roles of CD36 and SR-B1 undergo some changes. In the adrenal gland, the plasma lipoprotein-derived cholesterol (or CE) serves as the precursor for the glucocorticoids crucial for stress response <xref ref-type="bibr" rid="scirp.135884-36">
     [36]
    </xref>, and SR-B1 plays an essential role in the physiological stress-induced increase in adrenal glucocorticoid production <xref ref-type="bibr" rid="scirp.135884-36">
     [36]
    </xref> <xref ref-type="bibr" rid="scirp.135884-37">
     [37]
    </xref>. Thus, in our model as well, it is plausible that the stress-induced increase in the adrenal gland production of glucocorticoids requires the SR-B1-mediated uptake of CE from plasma HDL. Given this, the downregulation of SR-B1 expression in the liver upon stress (<xref ref-type="table" rid="table1">
     Table 1
    </xref>) may help preserve plasma HDL at high enough levels for the SR-B1-mediated uptake of CE in the adrenal gland that must produce more glucocorticoid hormones.</p>
   <p>We hypothesize that hepatic CD36 mediates a rapid uptake of plasma TG-rich lipoproteins or FAs in all three murine groups employed in the present study (<xref ref-type="fig" rid="fig1(a)">
     Figure 1(a)
    </xref>) <xref ref-type="bibr" rid="scirp.135884-25">
     [25]
    </xref>. We surmise that increased CD36 expression facilitates hepatic uptake of FA derived from circulating TG and the hepatic production and release of TG-rich lipoproteins (e.g. VLDL) into plasma, thereby enhancing the turnover of TG/FA in plasma and facilitating the removal of lipidic toxins that would enter on injury. It may be hypothesized that the CD36-mediated rapid regulation of plasma TG levels is beneficial as it removes lipidic toxins from plasma. We elaborate below on the roles of lipoproteins in neutralization (detoxification) and clearance of bacterial lipidic toxins.</p>
   <p>The ability of plasma lipoproteins to inactivate LPS has long been studied. Although this literature comprises few studies, several early reports showed that intravenous administration of reconstituted HDL protects against death in animal models of endotoxic shock (e.g. <xref ref-type="bibr" rid="scirp.135884-38">
     [38]
    </xref> <xref ref-type="bibr" rid="scirp.135884-39">
     [39]
    </xref>). Wurfel et al. further reported that recombinant-HDL (R-HDL) binds and neutralizes LPS, but that this process was dependent on transfer proteins such as lipid-binding protein (LBP) <xref ref-type="bibr" rid="scirp.135884-40">
     [40]
    </xref>. At high LBP concentrations, the LBP-mediated transfer of LPS to R-HDL particles has been shown to neutralize LPS <xref ref-type="bibr" rid="scirp.135884-40">
     [40]
    </xref>.</p>
   <p>Although these studies drew attention to the HDL-mediated inactivation of LPS, several authors focused on bacterial toxin inactivation by non-HDL-type lipoproteins. For example, Vreugdenhil et al. and Flegel et al. showed that LDLs are potent for LPS inactivation <xref ref-type="bibr" rid="scirp.135884-16">
     [16]
    </xref> <xref ref-type="bibr" rid="scirp.135884-41">
     [41]
    </xref>. The latter authors further showed that chylomicron (CM) and LBP cooperate in reducing LPS toxicity, resulting in decreased cytokine secretion by peripheral blood mononuclear cells in an in vitro system <xref ref-type="bibr" rid="scirp.135884-16">
     [16]
    </xref>. They also showed that LBP induces detoxification of LTA, an immuno-stimulatory component of Gram-positive bacteria, by CM in a dose-dependent manner and that CM exceeded the other lipoproteins in LPS-inactivating capacity in the serum of postprandial humans <xref ref-type="bibr" rid="scirp.135884-16">
     [16]
    </xref>.</p>
   <p>Aside from the inactivation (neutralization) of bacterial lipidic toxins by lipoproteins, clearance of LPS (and other lipidic toxins) is another important type of process for prevention of unwarranted inflammation. Notably, Harris et al. reported that intravenous administration of E. coli endotoxin after preincubation with CM: 1) protects against endotoxin-induced death in rats, 2) increases the clearance rate of endotoxin from plasma and 3) increases the hepatocellular uptake of endotoxin, while shunting endotoxin away from Kupffer cells <xref ref-type="bibr" rid="scirp.135884-17">
     [17]
    </xref>. Based on these findings, the authors concluded that TG-rich lipoproteins can redirect the metabolism of endotoxins, thereby affording protection against endotoxins. Regarding the molecules mediating LPS clearance, Topchiy et al. reported that HepG2 cells clear LPS in a low-density lipoprotein receptor (LDLR)-dependent manner and that primary hepatocytes from Ldlr-/-mice had greatly decreased LPS uptake <xref ref-type="bibr" rid="scirp.135884-42">
     [42]
    </xref>. Grin et al. further showed that LPS and LTA are taken up by the human liver epithelial cell line HepG2 <xref ref-type="bibr" rid="scirp.135884-43">
     [43]
    </xref>. These studies established the role of LDL and LDLR in LPA and LTA clearance. In the latter study using a proprotein convertase subtilisin/kexin 9-deficient mouse, Grin et al. provided data suggesting that LDLR-mediated uptake of bacterial lipids by hepatocytes reduces the availability of bacterial lipid PAMPs to Kupffer cells, thereby reducing cytokine-driven inflammation. Alternatively, it is still possible that lipoproteins may be serving in the clearance of LPS via scavenger receptors <xref ref-type="bibr" rid="scirp.135884-44">
     [44]
    </xref>. It is notable that, using Scarb<sup>I179N</sup>, a mouse model specifically deficient in hepatic SR-B1, Guo et al. showed that hepatic SR-B1 exerts its protection against sepsis through its role in promoting LPS clearance without affecting the inflammatory response in macrophages, demonstrating a critical role for hepatic SR-B1. However, to our knowledge, the potential role of CD36 in clearance largely remains unknown <xref ref-type="bibr" rid="scirp.135884-44">
     [44]
    </xref>.</p>
   <p>Given these recent reports and our finding that the TG rebound seen in the PBS group was abrogated by the CpG injection, we hypothesize that the immunological stress (due to pro-inflammatory ligands) can modulate the balance of the uptake and secretion of lipids by the liver in such a way as to shift it to “an uptake-dominant mode”. It is possible that, while in the case of psychological stress alone a quick synthesis of the adrenal glucocorticoid hormones may have merit and therefore CD36 expression may rapidly decrease, thereby leading to the TG rebound, that, in turn, may help the preparation for toxin invasion that may follow. Conversely, when the invasion of a significant dose of pro-inflammatory toxins occurs, hepatic CD36 may act to drastically clear the TG-rich lipoprotein, prioritizing the disposal of lipidic toxins. The reduction in hepatic SR-B1 after bacterial toxin challenges may help preserve HDL in the blood that is necessary for glucocorticoid production and regulating the extent of systemic inflammation.</p>
   <p>However, despite its clinical relevance, research in this area is still in its infancy. Remaining questions include to what extent hepatic CD36 expressed in the stressed condition expedites the clearance of bacterial lipids. If such hepatic clearance of bacterial lipids through CD36 increases during stress, one may ask whether the uptake by hepatocytes leads to enhanced inflammatory responses from Kupffer cells or whether it rather shunts toxins away from Kupffer cells, thereby reducing the inflammatory response. Although recent attention has been paid to the cooperativity of CD36 with the innate immune system <xref ref-type="bibr" rid="scirp.135884-45">
     [45]
    </xref>, analyses of to what extent the hepatic CD36-mediated toxin clearance can prevent the pro-inflammatory responses will also be warranted.</p>
   <p>Although our study focused on the stress, inflammation and lipid metabolism, recent studies have more focused on the signaling pathways triggered by diverse hormones and cytokines, deepening our understanding the lipid metabolism regulation. As an important example, peroxisome proliferator-activated receptors (PPARs) are regulated by FAs and controlling both lipid metabolism and inflammation <xref ref-type="bibr" rid="scirp.135884-46">
     [46]
    </xref>. A number of studies have also established that the peroxisome proliferator-activated receptor (PPAR)-γ coactivator (PGC)-1α (PGC-1α) is the master regulator of lipid metabolism regulation that promotes hepatic fasting response, including gluconeogenesis, FA beta-oxidation, ketogenesis, and bile-acid homeostasis <xref ref-type="bibr" rid="scirp.135884-47">
     [47]
    </xref>. The expression of PGC-1α is dynamically regulated in a tissue-specific manner such as cold temperature in brown adipose tissue, fasting in liver or exercise in skeletal muscle <xref ref-type="bibr" rid="scirp.135884-48">
     [48]
    </xref>. The expression of PGC-1α is regulated in skeletal muscles and the expression in the liver is also important for the metabolism regulation during physical exercise, implicating PGC-1α in the coordination of the systemic metabolism upon physical exercise. This finding has drawn attention to the interest in insulin sensitivity <xref ref-type="bibr" rid="scirp.135884-49">
     [49]
    </xref>. Relationship between lipid metabolism and inflammation has also been studied mainly with a focus on the transcription factors. For example, FA oxidation is suppressed in sepsis and a decreased level of PPARα expression has been consistently reported in many septic models and humans <xref ref-type="bibr" rid="scirp.135884-50">
     [50]
    </xref>. Thus, the research frontiers shift to the signaling pathways regulating lipid metabolism, yet such studies nonetheless help us to discuss the systemic lipid regulation and interplays between organs in many settings.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>In conclusion, our findings showed that acute stress (caused by the restraint and tail blood sampling) causes a rapid decrease in the serum TG level followed by a rebound in mice, and that this rebound was abolished in the mice with a simultaneous treatment with a TLR 9 ligand (CpG) at a sub-hepatotoxic level. The increase of CD36 transcript in the liver was induced by the i.p. injection of PBS alone, implying that the stress caused by the i.p. injection can induce hepatic CD36 expression, but the increase was more pronounced in the mice treated with a subtoxic level of CpG. The hepatic CD36 transcript increase was accompanied by a decrease in the hepatic SCARB1 transcript, implying a reciprocal control system operating between the two genes.</p>
  </sec><sec id="s6">
   <title>Funding</title>
   <p>This work was supported by a Grant-in-Aid for Scientific Research from the Ministry of Education, Science and Culture, Japan.</p>
  </sec><sec id="s7">
   <title>Ethical Statements</title>
   <p>All experiments were performed using protocols approved by the experimental animal committee of Teikyo University, Japan.</p>
  </sec><sec id="s8">
   <title>List of Symbols</title>
   <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
    <tr> 
     <td class="aleft">GalN<p style="text-align:left"></p></td> 
     <td class="aleft">D-galactosamine<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">TLR<p style="text-align:left"></p></td> 
     <td class="aleft">Toll-like receptor<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">CpG<p style="text-align:left"></p></td> 
     <td class="aleft">unmethylated cytosine-guanosine dinucleotide<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">ODN<p style="text-align:left"></p></td> 
     <td class="aleft">oligodeoxynucleotides<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">TG<p style="text-align:left"></p></td> 
     <td class="aleft">triglycerides<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">CE<p style="text-align:left"></p></td> 
     <td class="aleft">cholesterol ester<p style="text-align:left"></p></td> 
    </tr> 
    <tr> 
     <td class="aleft">SR-B1<p style="text-align:left"></p></td> 
     <td class="aleft">scavenger receptor B1<p style="text-align:left"></p></td> 
    </tr> 
   </table>
  </sec>
 </body><back>
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