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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphys.2017.01083</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ion Imbalance Is Involved in the Mechanisms of Liver Oxidative Damage in Rats Exposed to Glyphosate</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tang</surname> <given-names>Juan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/506724/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hu</surname> <given-names>Ping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yansen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Win-Shwe</surname> <given-names>Tin-Tin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/61680/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Chunmei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/293980/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Jiangsu Province Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Health Effect Assessment Section Center for Health and Environmental Risk Research, National Institute for Environmental Studies</institution>, <addr-line>Tsukuba</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Andreas Teufel, Medical Faculty Manheim, University of Heidelberg, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Simona Bertoni, Universit&#x000E0; degli Studi di Parma, Italy; Vikt&#x000F3;ria Venglovecz, University of Szeged, Hungary</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Chunmei Li <email>chunmeili&#x00040;njau.edu.cn</email>; <email>lichunmei74&#x00040;gmail.com</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Gastrointestinal Sciences, a section of the journal Frontiers in Physiology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1083</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>04</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>12</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Tang, Hu, Li, Win-Shwe and Li.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Tang, Hu, Li, Win-Shwe and Li</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) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Glyphosate (N-phosphonomethyl-glycine, GLP) is the most popular herbicide used worldwide. This study aimed to investigate the effects of glyphosate on rats&#x00027; liver function and induction of pathological changes in ion levels and oxidative stress in hepatic tissue. Sprague-Dawley rats were treated orally with 0, 5, 50, and 500 mg/kg body weight of the GLP. After 5 weeks of treatment, blood and liver samples were analyzed for biochemical and histomorphological parameters. The various mineral elements content in the organs of the rats were also measured. Significant decreases were shown in the weights of body, liver, kidney and spleen between the control and treatment groups. Changes also happened in the histomorphology of the liver and kidney tissue of GLP-treated rats. The GLP resulted in an elevated level of glutamic-oxalacetic transaminase (GOT), glutamic-pyruvic transaminase (GPT) and IL-1&#x003B2; in the serum. Besides, decreased total superoxide dismutase (T-SOD) activity and increased malondialdehyde (MDA) contents in the serum, liver, and kidney indicated the presence of oxidative stress. Moreover, increase of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) level and catalase (CAT) activity in the serum and liver and decrease of glutathione (GSH) and lutathione peroxidase (GSH-Px) activity in the kidney tissue further confirmed the occurrence of oxidative stress. The results of RT-PCR showed that the mRNA expressions of <italic>IL-1</italic>&#x003B1;, <italic>IL-1</italic>&#x003B2;, <italic>IL-6, MAPK3, NF-</italic>&#x003BA;<italic>B, SIRT1, TNF-</italic>&#x003B1;, <italic>Keap1, GPX2</italic>, and <italic>Caspase-3</italic> were significantly increased in the GLP-treated groups compared to the control group. Furthermore, <italic>PPAR</italic>&#x003B1;, <italic>DGAT, SREBP1c</italic>, and <italic>SCD1</italic> mRNA expressions were also remarkably increased in the GLP-treated groups compared to the control group. In addition, aluminum (Al), iron (Fe), copper (Cu), zinc (Zn), and magnesium (Mg) levels were showed a significant difference reduction or increase in rat liver, kidney, spleen, lung, heart, muscle, brain, and fat tissues. These results suggested that glyphosate caused obvious damage to rats&#x00027; liver and caused various mineral elements content imbalances in various organs of rats. Ion imbalance could weaken antioxidant capacity and involve in the mechanism of liver oxidative damage caused by GLP.</p></abstract>
<kwd-group>
<kwd>ion</kwd>
<kwd>oxidative stress</kwd>
<kwd>liver</kwd>
<kwd>glyphosate</kwd>
<kwd>rat</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="1"/>
<ref-count count="59"/>
<page-count count="12"/>
<word-count count="8266"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Glyphosate (GLP) is a non-selective, post-emergence herbicide used for weed control in various crops, especially in rice, maize and soybean (Coutinho et al., <xref ref-type="bibr" rid="B15">2005</xref>). Eighty percent of genetically modified crops were GLP-resistant plants, such as corn, soy, cotton and canola and so on (Williams et al., <xref ref-type="bibr" rid="B57">2000</xref>). American farmers have widely used anti-GLP crops since 1996 (Frisvold et al., <xref ref-type="bibr" rid="B24">2010</xref>). It means there will be much more glyphosate in soil and water environment. Study has reported that GLP and its metabolite such as aminomethylphosphonic acid (AMPA) and formaldehyde were found in the soil and rivers (Temple and Smith, <xref ref-type="bibr" rid="B54">1992</xref>). It has been extensively demonstrated that exposure to GLP leads to oxidative stress in several tissue, including the livers and kidneys (Beuret et al., <xref ref-type="bibr" rid="B10">2005</xref>; El-Shenawy, <xref ref-type="bibr" rid="B22">2009</xref>; Modesto and Martinez, <xref ref-type="bibr" rid="B40">2010</xref>; Larsen et al., <xref ref-type="bibr" rid="B35">2012</xref>; Cattani et al., <xref ref-type="bibr" rid="B13">2014</xref>).</p>
<p>GLP can chelate the iron (Fe) and aluminum (Al), which interferes with ion assimilation in the plant (Eker et al., <xref ref-type="bibr" rid="B20">2006</xref>; Bellaloui et al., <xref ref-type="bibr" rid="B8">2009</xref>). GLP also change the ion levels in fish by chelated with them (Ayoola, <xref ref-type="bibr" rid="B6">2008</xref>; Samsel and Seneff, <xref ref-type="bibr" rid="B50">2013</xref>). Al is widespread in soil, water, and air, and is also the most widely used metal by humans (Kumar and Gill, <xref ref-type="bibr" rid="B33">2009</xref>). Al is mainly absorbed by the gastrointestinal tract and easily accumulates in liver cells and organelles (e.g., macrophages and lysosomes) (Krewski et al., <xref ref-type="bibr" rid="B31">2007</xref>; Kumar and Gill, <xref ref-type="bibr" rid="B33">2009</xref>). Some scholars believe that Al accumulation does not causes significant hepatotoxicity, because it can be eliminated by hepatocytes (Li et al., <xref ref-type="bibr" rid="B37">2011</xref>). However, most studies reported that Al causes central nervous system toxicity, hepatotoxicity, nephrotoxicity, cardiotoxicity and osteoporosis to body tissue (Crisponi et al., <xref ref-type="bibr" rid="B16">2013</xref>; Geyikoglu et al., <xref ref-type="bibr" rid="B26">2013</xref>). Iron (Fe) is not only an important micronutrient, but also a redox reaction of the biocatalyst, and when the transition metal reaches the transition level, is conducive to the production of reactive oxygen species (Aust et al., <xref ref-type="bibr" rid="B5">1985</xref>). Zinc (Zn) as an antioxidant, involved in cell membrane stabilization, copper/zinc superoxide dismutase (Cu/Zn SOD) structure and metallothionein induction. Zn deficiency can damage the oxidant defense system and cause oxidative damage to cells or tissue (Oteiza et al., <xref ref-type="bibr" rid="B41">1999</xref>). Therefore, it is important to study whether GLP can effects the ion content in the liver and other organs of rats.</p>
<p>The aim of this study was designed to evaluate liver histomorphological changes, oxidant/antioxidant status, levels of inflammatory markers, lipid metabolism factors, and to investigate ion levels of Al, Fe, Cu, Zn, and Mg ion levels in GLP-exposed rats&#x00027; liver tissues. The specific mechanism between liver and other organs damage and ion imbalance need to be further studied.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Chemicals</title>
<p>Glyphosate, N-(phosphonomethy) glycine (GLP), was purchased from Shanghai Ryon Biological Technology Co. Ltd (Shanghai, China).</p>
</sec>
<sec>
<title>Animals and ethic statement</title>
<p>Eight week-of-age male Sprague-Dawley rats weighting 180&#x02013;220 g were purchased from the Nanjing Qinglongshan Experimental Animal Center (Nanjing, China). Prior to experiment, all rats were allowed to acclimate for at least 1 week. All rats were housed in separate cages under environmental conditions (23 &#x000B1; 2&#x000B0;C, 50 &#x000B1; 10% relative humidity, 12-h light: dark cycle) and had unrestricted access to food and water throughout the period of the study. Animal care and use were conducted in accordance with the National Institute of Health Guidelines for Animal Care and the Committee of Animal Research Institute, Nanjing Agricultural University, China. At the same time, the study also received ethical approval from the committee.</p>
</sec>
<sec>
<title>Animal treatment and sample collection</title>
<p>Rats were randomly assigned to 4 groups (<italic>n</italic> &#x0003D; 8/group). The rats were orally administered with glyphosate (5, 50, and 500 mg/kg body weight) daily for 35 days at 9 AM. Glyphosate dose selection was according to GLP no-observed adverse effect level (NOAEL) of 1,000 mg/kg/day for developmental toxicity (Williams et al., <xref ref-type="bibr" rid="B57">2000</xref>) and equivalent to 1/1,000, 1/100, and 1/10 of LD 50 in rats (Larini, <xref ref-type="bibr" rid="B34">1999</xref>; Benedetti et al., <xref ref-type="bibr" rid="B9">2004</xref>). GLP was orally administered at a volume of 0.5 ml/kg. Rats orally administered with distilled water were used as the control group. Twenty four hours after the last gavage, rats were weighed and decapitated. Blood samples were collected from the jugular vein and placed at 37&#x000B0;C for 1 h before being centrifuged (3,500 rpm, 15 min, 4&#x000B0;C) for biochemical assays. The liver, kidney, spleen, heart, lungs, brain, adrenal glands, muscle and fat tissue were collected, rinsed twice in phosphate-buffered saline (PBS pH 7.4), use the filter paper to dry the PBS and then accurately weigh and weighed for further examinations. One piece of liver and right kidney was used for morphometric analysis and another piece was used to prepare homogenates for analyses of tissue oxidative indexes, or frozen in liquid nitrogen for subsequent qualitative reverse transcription polymerase chain reaction (RT-PCR). The organ index is calculated as follows:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>Organ&#x000A0;index&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>g</mml:mtext><mml:mo>/</mml:mo><mml:mtext>gBW</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>=</mml:mo><mml:mtext>Organ&#x000A0;absolute&#x000A0;weight&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>g</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mtext>Body&#x000A0;weight&#x000A0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>g</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#x000A0;</mml:mtext><mml:mo>&#x000D7;</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mn>100</mml:mn><mml:mi>%</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
<sec>
<title>Histological preparation</title>
<p>Samples of tissue (livers and kidneys) were obtained from the animals and fixed in 4% formaldehyde solution for 24 h then dehydrated in an ascending series of alcohol, clarified using xylene, and embedded in paraffin. Paraffin were sectioned into 5 &#x003BC;m slices and stained with hematoxylin-eosin (HE) for microscopic examination. The score system was used to evaluate the hepatic and renal damages (Ishak et al., <xref ref-type="bibr" rid="B29">1995</xref>; Zheng et al., <xref ref-type="bibr" rid="B59">2005</xref>; Klopfleisch, <xref ref-type="bibr" rid="B30">2013</xref>). Briefly, the scores of liver sections graded on a 0&#x02013;4 scale for lobular inflammation, focal necrosis and mononuclear cell infiltration, and kidney graded on a 0&#x02013;4 scale for proximal and distal tubular necrosis, glomerular cellularity, and glomerular necrosis (where 0 represents no abnormality, and 1, 2, 3, and 4 represent mild, moderate, moderately severe, and severe abnormalities, respectively).</p>
</sec>
<sec>
<title>Biochemical evaluation</title>
<p>For enzymes determination, the suspension of liver, kidney and the blood samples were centrifuged at 3,500 rpm for 15 min. The homogenate and serum were collected and used for liver function assessment including measurements of the enzymes glutamic-oxalacetic transaminase (GOT), glutamic-pyruvic transaminase (GPT), total superoxide dismutase (T-SOD), malondialdehyde (MDA), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), catalase (CAT), glutathione (GSH), glutathione peroxidase (GSH-Px). The activities of SOD, H<sub>2</sub>O<sub>2</sub>, CAT, GSH, GSH-Px, and the content of MDA were assayed using commercial reagent kits obtained from the Institute of Biological Engineering of Nanjing Jiancheng (Nanjing, China) following the manufacturer&#x00027;s instructions. All operations were done at 4&#x000B0;C.</p>
<p>Analyses of the SOD activity was based on SOD-mediated inhibition of nitrite formation from hydroxyammonium in the presence of O<sup>2&#x02212;</sup>generators (xanthine/xanthine oxidase) (Elstner and Heupel, <xref ref-type="bibr" rid="B23">1976</xref>). The total SOD activity expressed as U/mg protein. MDA was evaluated by thiobarbituric acid reactive substances method (TBARS) and expressed as nmol/mg protein (Draper and Hadley, <xref ref-type="bibr" rid="B18">1990</xref>). GSH-PX activity was estimated by the analysis of reduced GSH in the enzymatic reaction (Sedlak and Lindsay, <xref ref-type="bibr" rid="B51">1968</xref>). GSH-PX activity was expressed as U/mg protein. CAT activity was assayed by the method developed by Aebi (Aebi, <xref ref-type="bibr" rid="B1">1984</xref>), and calculated as nM H2O2 consumed/min/mg of tissue protein. Protein concentrations in the supernatant were measured according to the Coomassie Brilliant Blue method. The activity of serum GOT and GPT was assayed according to the method that usually used in clinical examination (Reitman and Frankel, <xref ref-type="bibr" rid="B49">1957</xref>).</p>
</sec>
<sec>
<title>Serum cytokine measures</title>
<p>Serum levels of IL-1&#x003B2; and IL-6 were determined using a commercially available enzyme-linked immunosorbent assay (ELISA) kit purchased from R&#x00026;D Systems (Shanghai, China). The results were expressed as pg/mL.</p>
</sec>
<sec>
<title>Quantitative RT-PCR (qRT-PCR) analysis</title>
<p>Total RNA was extracted from the tissue using the reagent box of Total RNA Kit (Invitrogen, Carlsbad, CA, US), according to the manufacturer&#x00027;s instructions. The concentration of RNA was measured by using a spectrophotometer and the purity was ascertained by the A 260/A 280 ratio with a Nanodrop&#x000AE; 8000. Total RNA from each sample was reverse transcribed to cDNA with an Omniscript&#x000AE; Reverse Transcription kit (Takara) with Oligo-dT primers (Takara) according to the manufacturer&#x00027;s instructions and used for RT-PCR. The target fragments were quantified by real-time PCR using a QuantiTectTMSYBR Green&#x000AE; PCR Kit (Roche) with 100 ng of the cDNA template. Each sample was tested in duplicate. The gene expression data were normalized to &#x003B2;-actin expression. The primers used correspond to the rat sequences shown in Table <xref ref-type="table" rid="T1">1</xref>; primer design was done using Amplify software (TaKaRa, Nanjing, China). For each real-time PCR assay, the threshold cycle Ct was determined for each reaction. Ct values for each gene of interest were normalized to the housekeeping gene (&#x003B2;-action); PCR amplification efficiencies were taken into account by amplifying various amounts of target cDNA for each reaction. The fold differences in mRNA expression of samples were relative to the internal control sample, which was included in all runs.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Primers used for quantitative real-time PCR.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Gene symbol</bold></th>
<th valign="top" align="left"><bold>Accession No</bold>.</th>
<th valign="top" align="left"><bold>Primer sequence (5&#x02032;to 3&#x02032;)</bold></th>
<th valign="top" align="center"><bold>Product size (bp)</bold></th>
<th valign="top" align="left"><bold>40 PCR cycles</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IL-1&#x003B1;</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_017019.1">NM_017019.1</ext-link></td>
<td valign="top" align="left">F: GAGTCGGCAAAGAAATCAAGA</td>
<td valign="top" align="center">112</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TTCAGAGACAGATGGTCAATGG</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IL-1&#x003B2;</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_031512.2">NM_031512.2</ext-link></td>
<td valign="top" align="left">F: GCCAACAAGTGGTATTCTCCA</td>
<td valign="top" align="center">120</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TGCCGTCTTTCATCACACAG</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_012589.2">NM_012589.2</ext-link></td>
<td valign="top" align="left">F: AGTTGCCTTCTTGGGACTGA</td>
<td valign="top" align="center">102</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: ACTGGTCTGTTGTGGGTGGT</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">MAPK3</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_017347.2">NM_017347.2</ext-link></td>
<td valign="top" align="left">F: CTACACGCAGCTGCAGTACATC</td>
<td valign="top" align="center">153</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: GTGCGCTGACAGTAGGTTTGA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">NF-kB</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_001276711.1">NM_001276711.1</ext-link></td>
<td valign="top" align="left">F: CGACGTATTGCTGTGCCTTC</td>
<td valign="top" align="center">198</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TTGAGATCTGCCCAGGTGGTA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SIRT1</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NC_005119.4">NC_005119.4</ext-link></td>
<td valign="top" align="left">F: GAAACCCTCAATTTCTGTTCTGCT</td>
<td valign="top" align="center">226</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: AATGCGATGCTGACTTCCTTCT</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x003B1;</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_012675.3">NM_012675.3</ext-link></td>
<td valign="top" align="left">F: TTCCGTCCCTCTCATACACTG</td>
<td valign="top" align="center">149</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: AGACACCGCCTGGAGTTCT</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Keap1</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_057152.2">NM_057152.2</ext-link></td>
<td valign="top" align="left">F: CATCGGCATCGCCAACTTC</td>
<td valign="top" align="center">278</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: GCTGGCAGTGTGACAGGTTGA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">GPx2</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_183403.2">NM_183403.2</ext-link></td>
<td valign="top" align="left">F: CCGTGCTGATTGAGAATGTG</td>
<td valign="top" align="center">113</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: AGGGAAGCCGAGAACCACTA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Caspase-3</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_012922">NM_012922</ext-link></td>
<td valign="top" align="left">F: AAGCCGAAACTCTTCATC</td>
<td valign="top" align="center">349</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TGAGCATTGACACAATACAC</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PPAR&#x003B1;</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_001145367.1">NM_001145367.1</ext-link></td>
<td valign="top" align="left">F: CTCGTGCAGGTCATCAAGAA</td>
<td valign="top" align="center">158</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: CAGCCCTCTTCATCTCCAAG</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">DGAT</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_053437.1">NM_053437.1</ext-link></td>
<td valign="top" align="left">F: TCTTCCTACCGGGATGTCAATC</td>
<td valign="top" align="center">204</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TCCCTGCAGACACAGCTTG</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SREBP1c</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_001271207.1">NM_001271207.1</ext-link></td>
<td valign="top" align="left">F: GCCATGGATTGCACATTG</td>
<td valign="top" align="center">187</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: TGTGTCTCCTGTCTCACCCC</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SCD1</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_009127.4">NM_009127.4</ext-link></td>
<td valign="top" align="left">F: CCTTAACCCTGAGATCCCGTAGA</td>
<td valign="top" align="center">237</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: AGCCCATAAAAGATTTCTGCAAA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FAS</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_139194.2">NM_139194.2</ext-link></td>
<td valign="top" align="left">F: GGACATGGTCACAGACGATGAC</td>
<td valign="top" align="center">279</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R: GGAGGCGTCGAACTTGGA</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x003B2;-actin</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="NM_031144.3">NM_031144.3</ext-link></td>
<td valign="top" align="left">F:AGCCATGTACGTAGCCATCC</td>
<td valign="top" align="center">227</td>
<td valign="top" align="left">95&#x000B0;C for 15 s 60&#x000B0;C for 30 s 72&#x000B0;C for 30 s</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="left">R:CTCTCAGCTGTGGTGGTGAA</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Ion concentration</title>
<p>The concentrations of Al, Fe, Cu, Zn, and Mg in the liver, kidney, spleen, lung, heart, muscle, brain, and fat tissue were determined by inductively coupled plasma optical emission spectrometry (Optima 2100 DV; Perkin Elmer, Waltham, MA) using nitric acid&#x02013;perchloric acid&#x02013;based wet digestion. Approximately 200 &#x003BC;l or 0.5 g of each sample was digested with nitric acid (75%) and perchloric acid (25%) in a microwave digester (MDS- 81D; CEM Corp., Matthews, NC). We have used the same part of organ from the control and treated animals and accurately weighed.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The data were expressed as mean &#x000B1; standard error of the mean (SEM) and were analyzed by one-way analysis of variance (ANOVA), followed by Dunnett&#x00027;s multiple comparison tests, which was performed with GraphPad Prismsoftware (GraphPad Software, San Diego, CA, USA). Differences were considered to be statistically significant when the <italic>p</italic> level was less than 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Body and organ weights</title>
<p>After administration of GLP, there was a significant distinction in rat body weight between the control group and the 500 mg/kg GLP group (<italic>p</italic> &#x0003C; 0.05, Table <xref ref-type="table" rid="T2">2</xref>). The body weight gain decreased significantly in 50 mg/kg and 500 mg/kg GLP treatment groups compared with the control group (<italic>p</italic> &#x0003C; 0.05). Significant difference was also observed in the average-day-gain and average daily feed intake in GLP treatment groups compared with the control group (<italic>p</italic> &#x0003C; 0.05). Both of the absolute organ weight or the relative organ weight for liver, spleen and kidney showed a significant decrease in the 500 mg/kg GLP group (<italic>p</italic> &#x0003C; 0.05, Table <xref ref-type="table" rid="T2">2</xref>), which suggested that GLP manifest toxicity principally toward growth and development at the studied dosages.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Body weights and organ weights of rats treated with Glyphosate for 5 weeks.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Control</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GLP (mg/kg body weight)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>0</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>500</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Number of animals</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Initial body weight (g)</td>
<td valign="top" align="center">298.60 &#x000B1; 5.17</td>
<td valign="top" align="center">323.30 &#x000B1; 4.94</td>
<td valign="top" align="center">313.40 &#x000B1; 7.12</td>
<td valign="top" align="center">311.40 &#x000B1; 8.87</td>
</tr>
<tr>
<td valign="top" align="left">Body weight (g)</td>
<td valign="top" align="center">388.60 &#x000B1; 7.08</td>
<td valign="top" align="center">404.00 &#x000B1; 5.71</td>
<td valign="top" align="center">369.30 &#x000B1; 12.57</td>
<td valign="top" align="center">351.80 &#x000B1; 7.74<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Weight gain percentage (%)</td>
<td valign="top" align="center">30.40 &#x000B1; 3.18</td>
<td valign="top" align="center">23.42 &#x000B1; 1.06</td>
<td valign="top" align="center">17.38 &#x000B1; 2.49<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">17.29 &#x000B1; 5.41<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Average daily gain (g)</td>
<td valign="top" align="center">2.57 &#x000B1; 0.25</td>
<td valign="top" align="center">2.09 &#x000B1; 0.10</td>
<td valign="top" align="center">1.72 &#x000B1; 0.20<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.49 &#x000B1; 0.17<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Average daily feed intake (g)</td>
<td valign="top" align="center">3.16 &#x000B1; 0.05</td>
<td valign="top" align="center">3.27 &#x000B1; 0.05</td>
<td valign="top" align="center">2.86 &#x000B1; 0.05<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">2.98 &#x000B1; 0.08</td>
</tr>
<tr>
<td valign="top" align="left">Liver (g)</td>
<td valign="top" align="center">12.94 &#x000B1; 0.45</td>
<td valign="top" align="center">12.98 &#x000B1; 0.36</td>
<td valign="top" align="center">11.83 &#x000B1; 0.74</td>
<td valign="top" align="center">10.66 &#x000B1; 0.44<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Relative liver (%)</td>
<td valign="top" align="center">3.51 &#x000B1; 0.07</td>
<td valign="top" align="center">3.30 &#x000B1; 0.10</td>
<td valign="top" align="center">3.20 &#x000B1; 0.21</td>
<td valign="top" align="center">2.95 &#x000B1; 0.09<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Spleen (g)</td>
<td valign="top" align="center">0.77 &#x000B1; 0.04</td>
<td valign="top" align="center">0.71 &#x000B1; 0.03</td>
<td valign="top" align="center">0.76 &#x000B1; 0.06</td>
<td valign="top" align="center">0.59 &#x000B1; 0.04<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Relative Spleen (%)</td>
<td valign="top" align="center">0.21 &#x000B1; 0.01</td>
<td valign="top" align="center">0.18 &#x000B1; 0.01</td>
<td valign="top" align="center">0.20 &#x000B1; 0.01</td>
<td valign="top" align="center">0.16 &#x000B1; 0.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Kidney (g)</td>
<td valign="top" align="center">1.19 &#x000B1; 0.04</td>
<td valign="top" align="center">1.27 &#x000B1; 0.03</td>
<td valign="top" align="center">1.18 &#x000B1; 0.07</td>
<td valign="top" align="center">1.00 &#x000B1; 0.02<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Relative Kidney (%)</td>
<td valign="top" align="center">0.33 &#x000B1; 0.01</td>
<td valign="top" align="center">0.32 &#x000B1; 0.01</td>
<td valign="top" align="center">0.31 &#x000B1; 0.01</td>
<td valign="top" align="center">0.29 &#x000B1; 0.01<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Heart (g)</td>
<td valign="top" align="center">1.29 &#x000B1; 0.05</td>
<td valign="top" align="center">1.40 &#x000B1; 0.08</td>
<td valign="top" align="center">1.22 &#x000B1; 0.12</td>
<td valign="top" align="center">1.16 &#x000B1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">Relative Heart (%)</td>
<td valign="top" align="center">0.34 &#x000B1; 0.01</td>
<td valign="top" align="center">0.36 &#x000B1; 0.02</td>
<td valign="top" align="center">0.34 &#x000B1; 0.04</td>
<td valign="top" align="center">0.33 &#x000B1; 0.02</td>
</tr>
<tr>
<td valign="top" align="left">Lung (g)</td>
<td valign="top" align="center">2.33 &#x000B1; 0.08</td>
<td valign="top" align="center">2.60 &#x000B1; 0.12</td>
<td valign="top" align="center">2.40 &#x000B1; 0.17</td>
<td valign="top" align="center">2.30 &#x000B1; 0.10</td>
</tr>
<tr>
<td valign="top" align="left">Relative Lung (%)</td>
<td valign="top" align="center">0.61 &#x000B1; 0.02</td>
<td valign="top" align="center">0.64 &#x000B1; 0.03</td>
<td valign="top" align="center">0.69 &#x000B1; 0.06</td>
<td valign="top" align="center">0.66 &#x000B1; 0.03</td>
</tr>
<tr>
<td valign="top" align="left">Adrenal (g)</td>
<td valign="top" align="center">0.033 &#x000B1; 0.002</td>
<td valign="top" align="center">0.034 &#x000B1; 0.003</td>
<td valign="top" align="center">0.036 &#x000B1; 0.003</td>
<td valign="top" align="center">0.038 &#x000B1; 0.004</td>
</tr>
<tr>
<td valign="top" align="left">Relative Adrenal (%)</td>
<td valign="top" align="center">0.009 &#x000B1; 0.001</td>
<td valign="top" align="center">0.009 &#x000B1; 0.001</td>
<td valign="top" align="center">0.011 &#x000B1; 0.001</td>
<td valign="top" align="center">0.011 &#x000B1; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The values shown are the mean &#x000B1; SEM of 8 animals per group. Compared to control;</italic></p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Histopathologic evaluation</title>
<p>The liver and kidney histopathological changes were showed in Figure <xref ref-type="fig" rid="F1">1</xref>. The control rats showed hepatic lobules consisting of a central vein surrounded by radiating hepatocytes which were separated and did not exhibit any damage in the tissue (Figure <xref ref-type="fig" rid="F1">1A</xref>). By contrast, the liver sections of GLP-treated rats showed apoptosis of some hepatocyte, focal necrosis and mononuclear cell infiltration in liver tissue. Compared with the control group, after 5 mg/kg of GLP exposure, the rats showed mild periportal expansion and apoptosis of some hepatocyte (Figure <xref ref-type="fig" rid="F1">1B</xref>). In comparison, the livers of rats in the 50 mg/kg and 500 mg/kg GLP-treated groups demonstrated greater levels of structural disorder, apoptosis of some hepatocyte and monocyte infiltration (Figures <xref ref-type="fig" rid="F1">1C,D</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Histopathological changes in the livers and kidneys of male rats following oral GLP administration through Hematoxylin and eosin staining. 200 &#x000D7; magnification. <bold>(A)</bold> Normal liver section. Hepatic lobules consisting of a central vein surrounded by radiating hepatocytes which were separated; <bold>(B&#x02013;D)</bold> GLP (5, 50, and 500 mg/kg/day) treated presenting periportal expansion, structural disorder, monocyte infiltration (arrows), and congestion (arrowheads). <bold>(E)</bold> Normal kidney section. No signs of kidney damage were observed in the kidney of controls; <bold>(F&#x02013;H)</bold> GLP (5, 50, and 500 mg/kg/day) treated presenting proximal and distal tubular necrosis and glomerular toxicity (arrows). <bold>(I,J)</bold> The hepatic and renal damages histologic score evaluating. Data shown are mean &#x000B1; SEM of six liver sections in each group. Compared to control; <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.01.</p></caption>
<graphic xlink:href="fphys-08-01083-g0001.tif"/>
</fig>
<p>The HE staining of renal tissue in control rats demonstrated overall integrity of glomerulus surrounded by Bowman capsule and convoluted tubules (Figure <xref ref-type="fig" rid="F1">1E</xref>). In comparison with control kidney, GLP administration induced markable histological changes, including proximal and distal tubular necrosis and glomerular toxicity (Figures <xref ref-type="fig" rid="F1">1F&#x02013;H</xref>). And the histologic score of hepatic and renal damages was significantly increased in the both GLP-treated groups compared with the control group (<italic>p</italic> &#x0003C; 0.01) (Figures <xref ref-type="fig" rid="F1">1I,J</xref>).</p>
</sec>
<sec>
<title>Assessment of liver function</title>
<p>To confirm the damage of GLP to liver, the serum GOT and GPT levels, the main enzymes of liver function, were determined. The results showed that the levels of the GOT and GPT were increased in GLP-treated groups compared with the control rats. Furthermore, there was a significant increase in GOT and GPT levels with 500 mg/kg of glyphosate compared with the control group (<italic>p</italic> &#x0003C; 0.05) as shown in Figures <xref ref-type="fig" rid="F2">2A,B</xref>. These results showed that glyphosate can affect hepatic metabolism, causing oxidative damage to the hepatic tissue.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Effect of GLP treatment on GPT <bold>(A)</bold> and GOT <bold>(B)</bold> enzyme activities in the serum. Data shown are mean &#x000B1; SEM of eight animals in each group. Compared to control; <sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05.</p></caption>
<graphic xlink:href="fphys-08-01083-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Assessment of enzyme levels in the serum to test oxidative stress</title>
<p>To determine whether the GLP could induce the oxidative stress <italic>in vivo</italic>, we first examined the SOD, CAT, GSH, and GSH-PX activities as well as the level of MDA in the serum. The results showed that SOD activity significantly decreased in the 500 mg/kg GLP-treated group compared to the control (<italic>p</italic> &#x0003C; 0.05). The MDA content showed significant increase in the 50 mg/kg GLP-treated group compared with the control (<italic>p</italic> &#x0003C; 0.05), and significantly increased CAT activity than the control in the 500 mg/kg GLP-treated group compared with the control (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Effects of GLP on antioxidant enzyme activities and lipid peroxidation levels in serum, liver, and kidney of rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Control</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GLP (mg/kg body weight)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>0</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>500</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>SERUM</bold></td>
</tr>
<tr>
<td valign="top" align="left">SOD (U/mL)</td>
<td valign="top" align="center">13.29 &#x000B1; 0.16</td>
<td valign="top" align="center">13.01 &#x000B1; 0.58</td>
<td valign="top" align="center">12.89 &#x000B1; 0.46</td>
<td valign="top" align="center">11.30 &#x000B1; 0.28<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">MDA (nmol/mL)</td>
<td valign="top" align="center">20.72 &#x000B1; 2.16</td>
<td valign="top" align="center">22.06 &#x000B1; 2.03</td>
<td valign="top" align="center">32.38 &#x000B1; 2.00<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">23.23 &#x000B1; 1.99</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub> (nmol/mL)</td>
<td valign="top" align="center">113.50 &#x000B1; 10.05</td>
<td valign="top" align="center">113.80 &#x000B1; 8.87</td>
<td valign="top" align="center">117.50 &#x000B1; 6.63</td>
<td valign="top" align="center">134.30 &#x000B1; 7.45</td>
</tr>
<tr>
<td valign="top" align="left">CAT (U/mL)</td>
<td valign="top" align="center">28.33 &#x000B1; 1.61</td>
<td valign="top" align="center">28.66 &#x000B1; 2.22</td>
<td valign="top" align="center">30.51 &#x000B1; 1.52</td>
<td valign="top" align="center">36.56 &#x000B1; 1.60<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">GSH (mg/L)</td>
<td valign="top" align="center">536.30 &#x000B1; 22.76</td>
<td valign="top" align="center">431.90 &#x000B1; 46.45</td>
<td valign="top" align="center">446.20 &#x000B1; 52.51</td>
<td valign="top" align="center">423.40 &#x000B1; 47.15</td>
</tr>
<tr>
<td valign="top" align="left">GSH-PX (U/L)</td>
<td valign="top" align="center">378.20 &#x000B1; 37.47</td>
<td valign="top" align="center">400.80 &#x000B1; 28.74</td>
<td valign="top" align="center">429.00 &#x000B1; 37.64</td>
<td valign="top" align="center">453.00 &#x000B1; 13.76</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>LIVER</bold></td>
</tr>
<tr>
<td valign="top" align="left">SOD (U/mgprot)</td>
<td valign="top" align="center">49.77 &#x000B1; 2.06</td>
<td valign="top" align="center">50.30 &#x000B1; 2.32</td>
<td valign="top" align="center">47.08 &#x000B1; 1.49</td>
<td valign="top" align="center">41.53 &#x000B1; 1.19<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">MDA (nmol/mgprot)</td>
<td valign="top" align="center">1.93 &#x000B1; 0.06</td>
<td valign="top" align="center">1.89 &#x000B1; 0.08</td>
<td valign="top" align="center">1.86 &#x000B1; 0.08</td>
<td valign="top" align="center">2.08 &#x000B1; 0.07</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub> (nmol/mgprot)</td>
<td valign="top" align="center">5.10 &#x000B1; 0.26</td>
<td valign="top" align="center">5.42 &#x000B1; 0.27</td>
<td valign="top" align="center">5.90 &#x000B1; 0.23</td>
<td valign="top" align="center">6.27 &#x000B1; 0.14<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">CAT (U/mgprot)</td>
<td valign="top" align="center">12.04 &#x000B1; 0.68</td>
<td valign="top" align="center">13.01 &#x000B1; 1.61</td>
<td valign="top" align="center">14.50 &#x000B1; 1.22</td>
<td valign="top" align="center">14.48 &#x000B1; 1.20</td>
</tr>
<tr>
<td valign="top" align="left">GSH (mg/gprot)</td>
<td valign="top" align="center">316.40 &#x000B1; 27.98</td>
<td valign="top" align="center">342.20 &#x000B1; 26.16</td>
<td valign="top" align="center">272.90 &#x000B1; 25.01</td>
<td valign="top" align="center">357.80 &#x000B1; 33.52</td>
</tr>
<tr>
<td valign="top" align="left">GSH-PX (U/mgprot)</td>
<td valign="top" align="center">64.09 &#x000B1; 5.76</td>
<td valign="top" align="center">63.90 &#x000B1; 7.62</td>
<td valign="top" align="center">56.43 &#x000B1; 7.82</td>
<td valign="top" align="center">46.74 &#x000B1; 4.39</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>KIDNEY</bold></td>
</tr>
<tr>
<td valign="top" align="left">SOD (U/mgprot)</td>
<td valign="top" align="center">97.67 &#x000B1; 4.51</td>
<td valign="top" align="center">87.62 &#x000B1; 6.51</td>
<td valign="top" align="center">75.10 &#x000B1; 4.17<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">73.06 &#x000B1; 3.31<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">MDA (nmol/mgprot)</td>
<td valign="top" align="center">1.87 &#x000B1; 0.20</td>
<td valign="top" align="center">3.91 &#x000B1; 0.25<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.015 &#x000B1; 0.49</td>
<td valign="top" align="center">3.026 &#x000B1; 0.40</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub>O<sub>2</sub> (nmol/mgprot)</td>
<td valign="top" align="center">5.28 &#x000B1; 0.34</td>
<td valign="top" align="center">6.03 &#x000B1; 0.63</td>
<td valign="top" align="center">6.68 &#x000B1; 0.46</td>
<td valign="top" align="center">5.58 &#x000B1; 0.37</td>
</tr>
<tr>
<td valign="top" align="left">CAT (U/mgprot)</td>
<td valign="top" align="center">764.20 &#x000B1; 38.35</td>
<td valign="top" align="center">873.70 &#x000B1; 66.49</td>
<td valign="top" align="center">865.90 &#x000B1; 83.28</td>
<td valign="top" align="center">819.60 &#x000B1; 54.81</td>
</tr>
<tr>
<td valign="top" align="left">GSH (mg/gprot)</td>
<td valign="top" align="center">7.70 &#x000B1; 1.85</td>
<td valign="top" align="center">4.31 &#x000B1; 0.45</td>
<td valign="top" align="center">2.76 &#x000B1; 1.06<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">4.64 &#x000B1; 0.75</td>
</tr>
<tr>
<td valign="top" align="left">GSH-PX (U/mgprot)</td>
<td valign="top" align="center">480.00 &#x000B1; 19.96</td>
<td valign="top" align="center">421.80 &#x000B1; 38.47</td>
<td valign="top" align="center">342.20 &#x000B1; 40.60<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">297.00 &#x000B1; 36.08<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The values shown are the mean &#x000B1; SEM of 8 animals per group. Compared to control;</italic></p>
<fn id="TN3">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN4">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Assessment of enzyme levels in the liver and kidney to test oxidative stress</title>
<p>Liver and kidney are two major organs that suffer from the oxidative stress, since GLP metabolism mainly occurs in the liver and the metabolites discharge in the kidney. After GLP exposure, SOD activity in the 500 mg/kg GLP-treated group showed significant decrease in the liver compared with the control (<italic>p</italic> &#x0003C; 0.05). However, the level of H<sub>2</sub>O<sub>2</sub> in the 500 mg/kg GLP-treated group significantly increased compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<p>Next, the activity of antioxidant enzymes in the kidney was examined. As shown in Table <xref ref-type="table" rid="T3">3</xref>, the MDA content in the 5 mg/kg GLP-treated group showed significant increase compared with the control group (<italic>p</italic> &#x0003C; 0.01). The SOD and GSH-PX activities were significantly decreased in the 500 mg/kg GLP-treated groups compared with the control group (<italic>p</italic> &#x0003C; 0.05). And the GSH activity also showed significant decrease in the 50 mg/kg GLP-treated groups compared with the control group (<italic>p</italic> &#x0003C; 0.05). However, there was no difference for the H<sub>2</sub>O<sub>2</sub> and CAT activities between the control and treatment groups (Table <xref ref-type="table" rid="T3">3</xref>).</p>
</sec>
<sec>
<title>Serum IL-1&#x003B2; and IL-6 levels</title>
<p>The concentrations of inflammatory mediators IL-1&#x003B2; and IL-6 in serum were determined as shown in the Figure <xref ref-type="fig" rid="F3">3</xref>. The level of IL-1&#x003B2; has a significant increase in the 500 mg/kg GLP-treated group compared with the control rats (<italic>p</italic> &#x0003C; 0.05) (Figures <xref ref-type="fig" rid="F3">3A,B</xref>).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>The level of IL-1&#x003B2; <bold>(A)</bold> and IL-6 <bold>(B)</bold> in the serum was assayed by ELISA. Data shown are mean &#x000B1; SEM of eight animals in each group. Compared to control; <sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05.</p></caption>
<graphic xlink:href="fphys-08-01083-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Expression of mRNA levels for inflammation related genes in the liver</title>
<p>We investigated the effects of GLP involved in the inflammatory response in the liver tissue (Figure <xref ref-type="fig" rid="F4">4A</xref>). Hepatic <italic>IL-1</italic>&#x003B1; <italic>and IL-1</italic>&#x003B2; mRNA expression were significantly increased after GLP exposure compared with the control group (<italic>p</italic> &#x0003C; 0.05); <italic>IL-6, MAPK3, SIRT1, TNF-</italic>&#x003B1;, <italic>GPX2</italic>, and <italic>Caspase-3</italic> mRNA expression were significantly increased in the 50 mg/kg and 500 mg/kg GLP-treated group compared with the control group (<italic>p</italic> &#x0003C; 0.05); <italic>NF-</italic>&#x003BA;<italic>B</italic> mRNA expression showed a significant increase in the 50 mg/kg GLP-treated group compared with the control group (<italic>p</italic> &#x0003C; 0.05); at the same time, we also observed a significant increase in <italic>Keap1</italic> mRNA expression in 5 mg/kg GLP-treated group compared with the control group (<italic>p</italic> &#x0003C; 0.05).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Real-time RT-PCR analyses of IL-1&#x003B1;, IL-1&#x003B2;, IL-6, MAPK3, NF-kB, SIRT1, TNF-&#x003B1;, Keap1, GPX2, and Caspase-3 mRNA of liver <bold>(A)</bold>. Real-time RT-PCR analyses of PPAR&#x003B1;, DGAT, SREBP1c, SCD1, and FAS mRNA of liver <bold>(B)</bold>. Data shown are mean &#x000B1; SEM of eight animals in each group. Compared to control; <sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.01 and <sup>&#x0002A;&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001.</p></caption>
<graphic xlink:href="fphys-08-01083-g0004.tif"/>
</fig>
</sec>
<sec>
<title>Expression of mRNA levels for lipid metabolism related genes in the liver</title>
<p>Compared with the control group, <italic>PPAR</italic>&#x003B1;, <italic>SREBP1c</italic>, and <italic>SCD1</italic> mRNA expression were significantly increased in the 50 mg/kg and 500 mg/kg GLP treatment rats (<italic>p</italic> &#x0003C; 0.05); <italic>DGAT</italic> mRNA expression was significantly increased in the 500 mg/kg GLP-treated group compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Figure <xref ref-type="fig" rid="F4">4B</xref>).</p>
</sec>
<sec>
<title>Concentrations of ions in liver, kidney, spleen, heart, lung, brain, muscle, and fat</title>
<p>Concentrations of Al, Fe, Cu, Zn, and Mg in the liver, kidney, spleen, lung, heart, muscle, brain and fat were presented in Tables <xref ref-type="table" rid="T4">4</xref>, <xref ref-type="table" rid="T5">5</xref>.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>The concentrations of Al, Fe, Cu, Zn, and Mg in the liver, kidney, spleen, and heart of rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Control</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GLP (mg/kg body weight)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>0</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>500</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>LIVER</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">1.75 &#x000B1; 0.13</td>
<td valign="top" align="center">2.22 &#x000B1; 0.14</td>
<td valign="top" align="center">2.88 &#x000B1; 0.33<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.14 &#x000B1; 0.45<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">189.00 &#x000B1; 12.56</td>
<td valign="top" align="center">244.0 &#x000B1; 13.60<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">218.10 &#x000B1; 10.44</td>
<td valign="top" align="center">233.70 &#x000B1; 13.64</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">8.47 &#x000B1; 0.13</td>
<td valign="top" align="center">8.14 &#x000B1; 0.32</td>
<td valign="top" align="center">8.06 &#x000B1; 0.15</td>
<td valign="top" align="center">8.64 &#x000B1; 0.30</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">63.45 &#x000B1; 0.86</td>
<td valign="top" align="center">63.12 &#x000B1; 3.46</td>
<td valign="top" align="center">72.24 &#x000B1; 1.70<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">73.46 &#x000B1; 2.24<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">614.30 &#x000B1; 12.87</td>
<td valign="top" align="center">579.60 &#x000B1; 23.19</td>
<td valign="top" align="center">592.10 &#x000B1; 11.77</td>
<td valign="top" align="center">608.90 &#x000B1; 18.79</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>KIDNEY</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">2.20 &#x000B1; 0.37</td>
<td valign="top" align="center">2.52 &#x000B1; 0.15</td>
<td valign="top" align="center">2.62 &#x000B1; 0.33</td>
<td valign="top" align="center">2.53 &#x000B1; 0.62</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">150.80 &#x000B1; 5.64</td>
<td valign="top" align="center">163.10 &#x000B1; 7.22</td>
<td valign="top" align="center">216.70 &#x000B1; 25.09<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">151.00 &#x000B1; 16.76</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">11.15 &#x000B1; 0.73</td>
<td valign="top" align="center">11.49 &#x000B1; 0.34</td>
<td valign="top" align="center">11.45 &#x000B1; 0.43</td>
<td valign="top" align="center">11.09 &#x000B1; 0.52</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">59.15 &#x000B1; 3.53</td>
<td valign="top" align="center">58.93 &#x000B1; 2.70</td>
<td valign="top" align="center">62.55 &#x000B1; 1.61</td>
<td valign="top" align="center">56.06 &#x000B1; 2.18</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">593.90 &#x000B1; 24.84</td>
<td valign="top" align="center">605.30 &#x000B1; 27.81</td>
<td valign="top" align="center">669.20 &#x000B1; 20.71</td>
<td valign="top" align="center">582.40 &#x000B1; 15.86</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>SPLEEN</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">10.27 &#x000B1; 0.66</td>
<td valign="top" align="center">10.05 &#x000B1; 1.09</td>
<td valign="top" align="center">9.37 &#x000B1; 0.83</td>
<td valign="top" align="center">10.31 &#x000B1; 0.68</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">1162.00 &#x000B1; 208.00</td>
<td valign="top" align="center">1704.00 &#x000B1; 230.30</td>
<td valign="top" align="center">2049.00 &#x000B1; 188.10<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1466.00 &#x000B1; 98.26</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">7.45 &#x000B1; 0.35</td>
<td valign="top" align="center">7.15 &#x000B1; 0.50</td>
<td valign="top" align="center">7.76 &#x000B1; 0.35</td>
<td valign="top" align="center">7.16 &#x000B1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">117.10 &#x000B1; 2.53</td>
<td valign="top" align="center">120.30 &#x000B1; 11.39</td>
<td valign="top" align="center">111.60 &#x000B1; 7.23</td>
<td valign="top" align="center">112.50 &#x000B1; 4.94</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">1185.00 &#x000B1; 34.60</td>
<td valign="top" align="center">1182.00 &#x000B1; 26.26</td>
<td valign="top" align="center">1240.00 &#x000B1; 45.99</td>
<td valign="top" align="center">1159.00 &#x000B1; 29.09</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>HEART</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">7.07 &#x000B1; 0.59</td>
<td valign="top" align="center">7.97 &#x000B1; 0.37</td>
<td valign="top" align="center">7.43 &#x000B1; 0.43</td>
<td valign="top" align="center">7.30 &#x000B1; 1.04</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">321.30 &#x000B1; 11.96</td>
<td valign="top" align="center">367.70 &#x000B1; 37.90</td>
<td valign="top" align="center">401.20 &#x000B1; 27.08</td>
<td valign="top" align="center">313.20 &#x000B1; 25.61</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">20.58 &#x000B1; 0.79</td>
<td valign="top" align="center">18.74 &#x000B1; 0.27</td>
<td valign="top" align="center">18.63 &#x000B1; 0.88</td>
<td valign="top" align="center">18.44 &#x000B1; 0.47</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">88.82 &#x000B1; 5.52</td>
<td valign="top" align="center">79.85 &#x000B1; 2.45</td>
<td valign="top" align="center">82.80 &#x000B1; 5.42</td>
<td valign="top" align="center">78.39 &#x000B1; 10.11</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">1131.00 &#x000B1; 24.37</td>
<td valign="top" align="center">1059.00 &#x000B1; 40.66</td>
<td valign="top" align="center">1039.00 &#x000B1; 56.45</td>
<td valign="top" align="center">987.80 &#x000B1; 33.74</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The values shown are the mean &#x000B1; SEM of 8 animals per group. Compared to control;</italic></p>
<fn id="TN5">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The concentrations of Al, Fe, Cu, Zn, and Mg in the lung, brain, muscle and fat of rats.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;"><bold>Control</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>GLP (mg/kg body weight)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>0</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>50</bold></th>
<th valign="top" align="center"><bold>500</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>LUNG</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">26.55 &#x000B1; 1.14</td>
<td valign="top" align="center">21.93 &#x000B1; 1.05<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">20.43 &#x000B1; 0.71<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">23.27 &#x000B1; 1.52</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">362.30 &#x000B1; 31.16</td>
<td valign="top" align="center">446.00 &#x000B1; 32.30</td>
<td valign="top" align="center">421.40 &#x000B1; 35.80</td>
<td valign="top" align="center">647.30 &#x000B1; 74.77<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">10.31 &#x000B1; 0.27</td>
<td valign="top" align="center">10.13 &#x000B1; 0.46</td>
<td valign="top" align="center">8.92 &#x000B1; 0.40</td>
<td valign="top" align="center">9.94 &#x000B1; 0.83</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">211.00 &#x000B1; 14.07</td>
<td valign="top" align="center">236.50 &#x000B1; 14.07</td>
<td valign="top" align="center">187.10 &#x000B1; 6.99</td>
<td valign="top" align="center">244.90 &#x000B1; 20.62</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">1133.00 &#x000B1; 17.40</td>
<td valign="top" align="center">1114.00 &#x000B1; 18.28</td>
<td valign="top" align="center">1045.00 &#x000B1; 21.90</td>
<td valign="top" align="center">1016.00 &#x000B1; 63.47</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>BRAIN</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">4.74 &#x000B1; 1.16</td>
<td valign="top" align="center">5.08 &#x000B1; 0.73</td>
<td valign="top" align="center">5.38 &#x000B1; 0.55</td>
<td valign="top" align="center">4.17 &#x000B1; 0.24</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">40.79 &#x000B1; 0.59</td>
<td valign="top" align="center">50.21 &#x000B1; 6.04</td>
<td valign="top" align="center">47.38 &#x000B1; 2.20</td>
<td valign="top" align="center">53.01 &#x000B1; 1.49</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">4.08 &#x000B1; 0.04</td>
<td valign="top" align="center">4.50 &#x000B1; 0.06</td>
<td valign="top" align="center">5.35 &#x000B1; 0.59</td>
<td valign="top" align="center">5.70 &#x000B1; 0.24<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">35.59 &#x000B1; 1.36</td>
<td valign="top" align="center">37.82 &#x000B1; 1.08</td>
<td valign="top" align="center">51.28 &#x000B1; 8.54</td>
<td valign="top" align="center">39.62 &#x000B1; 1.71</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">357.60 &#x000B1; 8.83</td>
<td valign="top" align="center">357.90 &#x000B1; 12.81</td>
<td valign="top" align="center">415.40 &#x000B1; 3.05<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">416.50 &#x000B1; 6.58<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>MUSCLE</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">7.52 &#x000B1; 0.55</td>
<td valign="top" align="center">7.54 &#x000B1; 0.44</td>
<td valign="top" align="center">6.56 &#x000B1; 0.54</td>
<td valign="top" align="center">5.48 &#x000B1; 0.20<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">52.76 &#x000B1; 2.45</td>
<td valign="top" align="center">57.89 &#x000B1; 6.47</td>
<td valign="top" align="center">54.62 &#x000B1; 4.48</td>
<td valign="top" align="center">72.62 &#x000B1; 22.37</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">3.68 &#x000B1; 0.27</td>
<td valign="top" align="center">3.47 &#x000B1; 0.24</td>
<td valign="top" align="center">3.51 &#x000B1; 0.35</td>
<td valign="top" align="center">3.46 &#x000B1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">53.05 &#x000B1; 4.89</td>
<td valign="top" align="center">53.28 &#x000B1; 2.37</td>
<td valign="top" align="center">55.79 &#x000B1; 3.83</td>
<td valign="top" align="center">58.50 &#x000B1; 6.08</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">1313.00 &#x000B1; 14.13</td>
<td valign="top" align="center">1197.00 &#x000B1; 26.59</td>
<td valign="top" align="center">1262.00 &#x000B1; 33.24</td>
<td valign="top" align="center">1223.00 &#x000B1; 55.23</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5" style="background-color:#bbbdc0"><bold>FAT</bold></td>
</tr>
<tr>
<td valign="top" align="left">Al (mg/kg)</td>
<td valign="top" align="center">3.22 &#x000B1; 0.29</td>
<td valign="top" align="center">2.37 &#x000B1; 0.57</td>
<td valign="top" align="center">4.09 &#x000B1; 0.40</td>
<td valign="top" align="center">3.23 &#x000B1; 0.15</td>
</tr>
<tr>
<td valign="top" align="left">Fe (mg/kg)</td>
<td valign="top" align="center">11.16 &#x000B1; 1.33</td>
<td valign="top" align="center">10.92 &#x000B1; 4.01</td>
<td valign="top" align="center">16.44 &#x000B1; 2.33</td>
<td valign="top" align="center">14.41 &#x000B1; 1.82</td>
</tr>
<tr>
<td valign="top" align="left">Cu (mg/kg)</td>
<td valign="top" align="center">0.29 &#x000B1; 0.05</td>
<td valign="top" align="center">0.35 &#x000B1; 0.10</td>
<td valign="top" align="center">0.53 &#x000B1; 0.03<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.61 &#x000B1; 0.04<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Zn (mg/kg)</td>
<td valign="top" align="center">5.65 &#x000B1; 0.81</td>
<td valign="top" align="center">5.35 &#x000B1; 0.53</td>
<td valign="top" align="center">6.36 &#x000B1; 0.70</td>
<td valign="top" align="center">6.27 &#x000B1; 1.02</td>
</tr>
<tr>
<td valign="top" align="left">Mg (mg/kg)</td>
<td valign="top" align="center">25.49 &#x000B1; 1.25</td>
<td valign="top" align="center">25.99 &#x000B1; 2.60</td>
<td valign="top" align="center">33.41 &#x000B1; 1.96</td>
<td valign="top" align="center">33.57 &#x000B1; 4.12</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>The values shown are the mean &#x000B1; SEM of 8 animals per group. Compared to control;</italic></p>
<fn id="TN10">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>,</p></fn>
<fn id="TN11">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In liver, compared with the control group, Al and Zn concentrations were significantly increased in 50 mg/kg and 500 mg/kg GLP treatment group (<italic>p</italic> &#x0003C; 0.05); Fe concentration was significantly increased in 5 mg/kg GLP treatment group (<italic>p</italic> &#x0003C; 0.05) and Mn concentration was significantly increased in 500 mg/kg GLP treatment group (<italic>p</italic> &#x0003C; 0.05); Mo concentration was significantly decreased in 5 mg/kg and 50 mg/kg GLP treatment group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<p>In kidney, concentrations of Fe level was significantly increased in 50 mg/kg GLP treatment group compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<p>In spleen, Fe content showed significant increase in 50 mg/kg GLP treatment group compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T4">4</xref>).</p>
<p>In lung, Al concentration was significantly decreased in 5 mg/kg and 50 mg/kg GLP treatment groups compared with the control group (<italic>p</italic> &#x0003C; 0.05); Fe concentration was significantly increased in 500 mg/kg GLP treatment group compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T5">5</xref>).</p>
<p>In brain, Cu content was significantly increased in 500 mg/kg GLP treatment group compared with the control group (<italic>p</italic> &#x0003C; 0.05); Mg concentration significantly increased in 50 mg/kg and 500 mg/kg GLP treatment group compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T5">5</xref>).</p>
<p>In muscle, Al concentration was significantly decreased in 500 mg/kg GLP treatment group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T5">5</xref>).</p>
<p>In fat tissue, concentrations of Cu was significantly increased in 50 mg/kg and 500 mg/kg GLP treatment groups compared with the control group (<italic>p</italic> &#x0003C; 0.05) (Table <xref ref-type="table" rid="T5">5</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study demonstrated that GLP had an adverse effect on the histomorphology, inflammation, oxidative stress, lipid metabolism and ion concentration in adult male rats, and then discussed the relationship between them. This is the first report about the effects of GLP exposure on Al, Fe, Cu, Zn, and Mg content in main tissues of rats. Also we firstly revealed the connection between dysregulation of ion content and liver injury in rats exposed to GLP.</p>
<p>The results of our study showed that exposure to GLP for 35 days led to a significant reduction in body weight, body weight gain, average daily gain, and liver, spleen and kidney coefficient. These results suggested that treated with GLP in male rats for 35 days could affect the growth performance of rats. In addition, our results also showed that exposure to GLP for 35 days caused significant hyperemia, cellular degeneration and necrosis accompanied inflammatory cell infiltration, renal tubular damage and glomerular filtration impairment in rats&#x00027; hepatic and kidney cells, accompanied by significant increases in GPT and GOT levels. Transaminases are important enzymes and critical enzymes in the biological processes. GPT and GOT levels increased in serum can be a sign of liver damage and disruption of normal liver function (El-Demerdash et al., <xref ref-type="bibr" rid="B21">2001</xref>; Celik and Suzek, <xref ref-type="bibr" rid="B14">2008</xref>). Results showed that GLP caused damage in liver morphology and function.</p>
<p>Oxidative stress refers to the oxidation and anti-oxidation imbalance <italic>in vivo</italic> (Hou et al., <xref ref-type="bibr" rid="B27">2013</xref>). Some studies reported that GLP is an organophosphate herbicide and can induce to oxidative stress and/or an impairment of the antioxidant defensive mechanisms (Larsen et al., <xref ref-type="bibr" rid="B35">2012</xref>). Animals possess an antioxidant defense mechanism composed of enzymes including T-SOD and GPx, as well as non-enzymatic antioxidants including non-protein thiols, especially GSH. When the defenses of the organism are insufficient for neutralizing the ROS, oxidative damage can occur, and one of the most serious types of which is membrane lipid peroxidation (Ahmad et al., <xref ref-type="bibr" rid="B2">2004</xref>). Liver is the major detoxification organ exposed to food or drinks contaminants (Gasnier et al., <xref ref-type="bibr" rid="B25">2009</xref>). GLP-based herbicide has been demonstrated to damage carp or rat hepatocytes at low levels (Szarek et al., <xref ref-type="bibr" rid="B53">2000</xref>; Malatesta et al., <xref ref-type="bibr" rid="B38">2008</xref>).</p>
<p>MDA, the stable metabolite of lipid peroxidation (LPO) products, is a biomarker of LPO (Sun et al., <xref ref-type="bibr" rid="B52">2001</xref>), and is presented as the total level of LPO products (Drewa et al., <xref ref-type="bibr" rid="B19">2002</xref>). MDA can be produced by ozone, which reacts rapidly with cellular structures and generates hydrogen peroxide (Ajamieh et al., <xref ref-type="bibr" rid="B3">2004</xref>). Hepatic SOD activity also can suggest the extent of liver damage (Li et al., <xref ref-type="bibr" rid="B36">2013</xref>). CAT catalyzing the breakdown of H<sub>2</sub>O<sub>2</sub> into O<sub>2</sub> and H<sub>2</sub>O and catalyzing the oxidation of electron donors (Hou et al., <xref ref-type="bibr" rid="B27">2013</xref>). In addition, GSH provide the major defense against oxidative stress induced cellular damage (Beuret et al., <xref ref-type="bibr" rid="B10">2005</xref>; Ozden and Alpertunga, <xref ref-type="bibr" rid="B44">2010</xref>). In the present study, our results showed that SOD activity significantly decreased in the serum, liver and kidney of the GLP-treated rats compared with the control group. MDA content showed significant increase in the serum and kidney of the GLP-treated rats. At the same time, CAT activity was also significantly increased in the serum of the GLP-treated rats compared with the control group. In addition, H<sub>2</sub>O<sub>2</sub> increased in the liver tissue, suggesting <italic>t</italic> that rats were under the oxidant stress. Taken together, the data demonstrated that GLP could result in liver and kidney damage, the decreased SOD activity in the serum and tissue, and the increased MDA level in the serum, indicative of oxidative stress. On the other side, we have also tested the inflammatory Cytokines level in serum, our results showed that the level of IL-1&#x003B2; has a significant increase in the 500 mg/kg GLP-treated group compared with the control rats. Thus, we investigate whether the oxidative stress state of organism has a certain relationship with the inflammation related genes.</p>
<p>Inflammation, manifested as macrophage infiltration of adipose tissue, endoplasmic reticulum stress and oxidative stress (Trayhurn and Wood, <xref ref-type="bibr" rid="B55">2004</xref>). In a few cases, steatosis causes apoptosis, necrosis, generation of oxidative stress and inflammation (Marchesini et al., <xref ref-type="bibr" rid="B39">2008</xref>). Animal models of nonalcoholic fatty liver disease have also suggested a possible role of free fatty acids, not triglycerides, in the hepatocytes as factors promoting hepatocellular injury (Yamaguchi et al., <xref ref-type="bibr" rid="B58">2007</xref>). GLP induced inflammation, which was found to be associated with induction of IL-33, which is known to induce TNF-&#x003B1;, IFN-&#x003B3;, and IL-13 upon antigen challenge followed by activation and recruitment of inflammatory cells in the airways (Kumar et al., <xref ref-type="bibr" rid="B32">2014</xref>). In this study, the mRNA expression of <italic>IL-1</italic>&#x003B1;, <italic>IL-1</italic>&#x003B2;, <italic>IL-6, MAPK3, NF-</italic>&#x003BA;<italic>B, SIRT1, TNF-</italic>&#x003B1;, <italic>Keap1, GPX2</italic> and <italic>Caspase-3</italic> were all increased in GLP treatment group compared with the liver tissue of control rats. Meanwhile, <italic>PPAR</italic>&#x003B1;, <italic>SREBP1c, DGAT</italic>, and <italic>SCD1</italic> mRNA expressions were significantly increased in GLP treatment rats. It showed that GLP induced liver toxicity is mediated by inflammation, oxidative stress and lipid related pathways. In addition, in the present study, we only focus on changes in inflammatory markers and lipid metabolite levels in the liver, possible changes in kidneys will continue to be verified in future experiments.</p>
<p>Additionally, previous studies also indicated that GLP is bound to the soil constituent Fe, Al amorphous hydroxides and ferric oxides (Piccolo et al., <xref ref-type="bibr" rid="B46">1994</xref>; Day et al., <xref ref-type="bibr" rid="B17">1997</xref>). GLP negatively impact human health, and interference with cytochrome P450 (CYP) enzymes, which play many important roles in the body, meanwhile, GLP chelation of minerals, such as iron and cobalt (Samsel and Seneff, <xref ref-type="bibr" rid="B50">2013</xref>). Al accumulation resulted in obvious damage to hepatic cells, including liver central venous hyperemia, lipid accumulation, and lymphocyte infiltration (Bogdanovi&#x00107; et al., <xref ref-type="bibr" rid="B12">2008</xref>; T&#x000FC;rkez et al., <xref ref-type="bibr" rid="B56">2010</xref>). Fe is an essential nutritional mineral for all life forms, both of Fe deficiency and excess in Fe also leads to oxidative DNA damage (Ames, <xref ref-type="bibr" rid="B4">2001</xref>). Becaria reported that Al augmented oxidative stress injuries induced by Fe (Becaria et al., <xref ref-type="bibr" rid="B7">2002</xref>). Zn has a relationship with many enzymes in the body (Powell, <xref ref-type="bibr" rid="B47">2000</xref>; Ozturk et al., <xref ref-type="bibr" rid="B45">2003</xref>; Ozdemir and Inanc, <xref ref-type="bibr" rid="B43">2005</xref>). One study has shown that Zn deficiency increases lipid peroxidation in various rat tissues (Ozdemir and Inanc, <xref ref-type="bibr" rid="B43">2005</xref>). Mg plays a pivotal role as an enzyme cofactor in biosynthesis of proteins and mineral administration. It is indispensable to osteogenesis and mineralization of bones (Rahnama and Marciniak, <xref ref-type="bibr" rid="B48">2002</xref>). Subacute Mg deficiency can cause lymphopoietic neoplasms in young rats (Ilicin, <xref ref-type="bibr" rid="B28">1971</xref>). Mg, Zn, and Cu are the cofactors of SOD. Fe and Cu overload could cause oxidative stress damage to rats&#x00027; kidney and liver (Ozcelik et al., <xref ref-type="bibr" rid="B42">2003</xref>; Bishu and Agarwal, <xref ref-type="bibr" rid="B11">2006</xref>). This study results showed that the concentration of Al, Fe and Zn were significantly increased in GLP-treated rats&#x00027; liver. Concentrations of Fe were also increased in the kidney, spleen, and lung tissue in GLP-treated rats. Al concentration was decreased in the muscle tissue of GLP-treated rats. In brain and fat tissue, Cu and Mg concentration were increased in GLP-treated rats. However, there showed no dose-dependent effect of GLP was found. Combined, these results suggested that GLP induced the ion-imbalance of Al, Fe, Mg, Cu, and Zn, which will make damage to hepatic cells and liver dysfunction, and the role of ion-imbalance in renal and other organs will continue to be verified in future experiments.</p>
<p>In summary, current study demonstrated that GLP causes obvious damage to rat liver, kidney and caused ion-imbalance in main tissue of rats, and the ion-imbalance is no dose-dependent effect of GLP was found. It may be due to the too large dose range we used in the study of the GLP. Ion imbalance-related oxidative stress may be involved in the mechanism of chronic liver injury caused by GLP. Simultaneously, GLP-induced ion imbalance and oxidative stress may also affect kidney damage. Therefore, the role of ion-imbalance in renal and other organs and its mechanism must be further confirmed by systematic experiments in the future.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>JT, PH, YL, T-TW-S, and CL: Performed experiments and interpreted data; CL: Designed the study and provided funding; JT: Wrote the manuscript. All authors read and approved the final version of the manuscript.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack><p>This work was supported by the National Key Research and Development Program of China (2016YFD0500505). National Nature Science Foundation of China (No. 31772648) and Graduate research and innovation projects of Jiangsu Province (KYLX15_0554).</p>
</ack>
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