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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">749035</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.749035</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Protective Effect of Dictyophora Polysaccharides on Sodium Arsenite-Induced Hepatotoxicity: A Proteomics Study</article-title>
<alt-title alt-title-type="left-running-head">Hu et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Protection Against Hepatotoxicity of Dictyophora</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Ting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1423091/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Liming</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/637108/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Qun</given-names>
</name>
<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">
<name>
<surname>Wu</surname>
<given-names>Changyan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Huajie</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Qibing</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">
<name>
<surname>Wang</surname>
<given-names>Guoze</given-names>
</name>
<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">
<name>
<surname>Wei</surname>
<given-names>Shaofeng</given-names>
</name>
<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">
<name>
<surname>Zhang</surname>
<given-names>Shuling</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Naseer Ullah</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shen</surname>
<given-names>Xiangchun</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/485149/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Luo</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1452637/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, <addr-line>Guiyang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>School of Public Health, Guizhou Medical University, <addr-line>Guiyang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Guizhou Provincial Engineering Research Center of Food Nutrition and Health, <addr-line>Guiyang</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Shenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Science and Oceanography, Shenzhen University, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Key Laboratory of Optimal Utilization of Natural Medicine Resources, School of Pharmaceutical Sciences, Guizhou Medical University, <addr-line>Guiyang</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<label>
<sup>6</sup>
</label>State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University, <addr-line>Guiyang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1182733/overview">Abdel Halim Harrath</ext-link>, King Saud University, Saudi Arabia</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/394429/overview">Mohamed M. Abdel-Daim</ext-link>, Suez Canal University, Egypt</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/258135/overview">Imene Hadda Ouzari</ext-link>, Physiques et Naturelles de Tunis, Tunisia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xiangchun Shen, <email>shenxiangchun@126.com</email>; Peng Luo, <email>luopeng@gmc.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this&#x20;work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Ethnopharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>749035</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Hu, Shen, Huang, Wu, Zhang, Zeng, Wang, Wei, Zhang, Zhang, Khan, Shen and Luo.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Hu, Shen, Huang, Wu, Zhang, Zeng, Wang, Wei, Zhang, Zhang, Khan, Shen and Luo</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>The purpose of this study is to understand the mechanism of sodium arsenite (NaAsO<sub>2</sub>)-induced apoptosis of L-02 human hepatic cells, and how Dictyophora polysaccharide (DIP) protects L-02 cells from arsenic-induced apoptosis. The results revealed that DIP pretreatment inhibited NaAsO<sub>2</sub> induced L-02 cells apoptosis by increasing anti-apoptotic Bcl-2 expression and decreasing pro-apoptotic Bax expression. Proteomic analysis showed that arsenic treatment disrupted the expression of metabolism and apoptosis associated proteins, including ribosomal proteins (RPs). After pretreatment with DIP, the expression levels of these proteins were reversed or restored. For the first time, it was observed that the significant decrease of cytoplasmic RPs and the increase of mitochondrial RPs were related to human normal cell apoptosis induced by arsenic. This is also the first report that the protective effect of DIP on cells was related to RPs. The results highlight the relationship between RPs and apoptosis, as well as the relationship between RPs and DIP attenuating arsenic-induced apoptosis.</p>
</abstract>
<kwd-group>
<kwd>dictyophora polysaccharides</kwd>
<kwd>NaAsO<sub>2</sub>
</kwd>
<kwd>apoptosis</kwd>
<kwd>hepatotoxicity</kwd>
<kwd>proteomics</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Arsenic is known as a serious environmental toxin and human carcinogen (<xref ref-type="bibr" rid="B4">Bhattacharya et&#x20;al., 2014</xref>). According to global epidemiological statistics, more than 200 million people currently suffer from arsenic exposure, particularly in developing countries (<xref ref-type="bibr" rid="B1">Adil et&#x20;al., 2016</xref>). Arsenic exposure caused human health problems involve multiple tissues and organs, especially in the cardiovascular system and liver (<xref ref-type="bibr" rid="B21">Goudarzi et&#x20;al., 2018</xref>). Environmental exposure to arsenic is undoubtedly now a major global public health problem, as well as a serious social and medical problem (<xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B58">Wang et&#x20;al., 2020a</xref>). Sodium arsenite (NaAsO<sub>2</sub>) is the most toxic substance of different arsenic compounds in our living environment (<xref ref-type="bibr" rid="B17">Duan et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B42">Lv et&#x20;al., 2020</xref>). Accumulation of arsenic in the human body can lead to organ damage and tissue canceration. In particular, the liver is one of the target organs of arsenic in humans (<xref ref-type="bibr" rid="B13">Dash et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B42">Lv et&#x20;al., 2020</xref>). The cellular and molecular biological experiment has shown that arsenic increases the production of reactive oxygen species (ROS) by inhibiting the activity of antioxidant enzymes. Arsenic can also cause protein oxidation, DNA damage, and apoptosis (<xref ref-type="bibr" rid="B40">Lin et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B2">Adil et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Goudarzi et&#x20;al., 2018</xref>). However, there is still no broad consensus about the exact mechanism of arsenic-induced toxicity.</p>
<p>Currently, treatments for arsenic poisoning include hemodialysis or chemotherapy, using chelating agents and adsorbents. However, elevated blood pressure and other toxic effects may occur (<xref ref-type="bibr" rid="B48">Saha et&#x20;al., 2016</xref>). Bioactive natural compounds commonly found in dietary plants can treat arsenic-induced toxicity, attracting increased attention to their little or no side effects (<xref ref-type="bibr" rid="B44">Ola-Davies and Akinrinde, 2016</xref>; <xref ref-type="bibr" rid="B21">Goudarzi et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B46">Perker et&#x20;al., 2019</xref>), and more attention has been paid to their medicinal value (<xref ref-type="bibr" rid="B35">Kanwal et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B23">Habtemariam, 2019</xref>). Among them, Dictyophora has been reported to act on anti-inflammatory, antioxidant, hypoglycemic, and lipid-lowering effects (<xref ref-type="bibr" rid="B71">Zhang et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B24">Han et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B60">Wang Y. et&#x20;al., 2019</xref>). Furthermore, the polysaccharide extracted from Dictyophora has a protective effect on the liver (<xref ref-type="bibr" rid="B56">Wang et&#x20;al., 2019a</xref>; <xref ref-type="bibr" rid="B57">Wang et&#x20;al., 2019b</xref>; <xref ref-type="bibr" rid="B28">Hu et&#x20;al., 2020</xref>). However, the effect of Dictyophora polysaccharide (DIP) on sodium arsenite induced hepatotoxicity is still unclear.</p>
<p>In this study, DIP was shown to protect human normal liver cells L-02 from the sodium arsenic induced toxicity, and a comparative proteomics analysis based on iTRAQ (isobaric tags for relative and absolute quantification) was performed to explore the molecular mechanism of arsenic-induced apoptosis and the protective effect of DIP on arsenic-induced hepatotoxicity.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Chemicals</title>
<p>Food-grade Dictyophora was provided by Zhijin Sifang Hongye (Zhijin City, Guizhou Province, China). Sodium arsenite (NaAsO<sub>2</sub>) was obtained from Sigma Chemical Corp (St. Louis, MO, United&#x20;States). Human normal hepatocytes (L-02 cells) were purchased from the Shanghai Cell Bank of the Chinese Academy of Sciences (Shanghai, China). RPMI 1640 cell culture medium, trypsin, and fetal bovine serum (FBS) were purchased from Gibco Company (California, United&#x20;States). Phosphate buffer saline (PBS) was purchased from Zhongsha Jinqiao Biotechnology Co., Ltd. (Beijing, China). Dimethyl sulfoxide (DMSO) was obtained from Sigma (St. Louis, MO, United&#x20;States). The BCA protein detection kit, protein sample buffer, and Western blot analysis gel preparation kit were purchased from Beyotime Biotechnology Co., Ltd. (Shanghai, China). Protein molecular weight markers were obtained from Fermentas (Burlington, Canada). Polyvinylidene fluoride (PVDF) film and enhanced chemiluminescence (ECL) kit were purchased from Bio-Rad (California, United&#x20;States). Cell Counting Kit-8 (CCK-8), RIPA lysis buffer, rabbit anti-human Bcl-2, Bax, &#x3b2;-actin, GAPDH, ribosomal protein S5 (Rps5), and 14-3-3 protein sigma (SFN) antibodies and horseradish peroxidase (HRP) labeled secondary antibodies were purchased from Boster Biological Technology, Ltd. (Boster, Wuhan, China).</p>
</sec>
<sec id="s2-2">
<title>Dictyophora Polysaccharide Preparation</title>
<p>The separation and purification of DIP was performed as previously described with minor modifications (<xref ref-type="bibr" rid="B39">Liao et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B71">Zhang et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B69">Yu et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B28">Hu et&#x20;al., 2020</xref>). Briefly, the fruit body of Dictyophora was dried at 45&#xb0;C for 2&#xa0;h, ground into powder, extracted in boiling water for 3&#xa0;h at a water-to-material ratio (1:20), and then centrifuged at 4,000 &#xd7; g for 15&#xa0;min. The supernatant was extracted and concentrated at 50&#xb0;C using a rotary evaporator (R-215, Buchi, Switzerland). The concentrated extract was collected and proteins were removed using the Sevage method. The crude polysaccharides of Dictyophora were obtained by freeze-drying after overnight precipitation with 4 volumes of 100% ethanol. The content of sugar was determined by using phenol-sulfuric acid colorimetric assay. The content was 84.13%. According to our experimental data, 10&#xa0;mg DIP can be obtained from 80&#xa0;mg of dried Dictyophora powder.</p>
</sec>
<sec id="s2-3">
<title>Preparation of Dictyophora Polysaccharide Stock Solution</title>
<p>The dry product of 400&#xa0;mg DIP was dissolved in 20&#xa0;ml serum-free DMEM medium to prepare a final concentration of 20&#xa0;mg/ml mother liquor, filtered and stored at &#x2212;20&#xb0;C. When in use, it is diluted to the corresponding concentration with serum-free DMEM medium.</p>
</sec>
<sec id="s2-4">
<title>Cell Culture</title>
<p>L-02 cells were cultured in a 5% CO<sub>2</sub> incubator at 37&#xb0;C. The control group used DMEM high glucose medium containing 10% FBS and 1% penicillin/streptomycin, and the treatment group was pretreated with NaAsO<sub>2</sub> or DIP for 4&#xa0;h and then exposed to NaAsO<sub>2</sub>. All experiments were performed 24&#xa0;h after cell inoculation.</p>
</sec>
<sec id="s2-5">
<title>Cell Counting Kit-8 Assay</title>
<p>The cell viability of L-02 cells was measured by CCK-8 assay. Cells were seeded in 96-well plates at a density of 1&#x20;&#xd7; 10<sup>4</sup> cells per well, and were treated with different concentration of NaAsO<sub>2</sub> for 24&#xa0;h. In order to explore the intervention effect of DIP, L-02 cells were pretreated with different concentration DIP solution for 4&#xa0;h, and then treated with of 10&#xa0;&#x3bc;M NaAsO<sub>2</sub> for 24&#xa0;h. In addition, the viability of cells pretreated with DIP (80&#xa0;&#x3bc;g/ml) and then exposed to different concentrations sodium arsenate was also investigated. CCK-8 reagent was added to each well and incubated at 37&#xb0;C for 2&#xa0;h according to the manufacturer protocol. Microplate Reader (Thermo Fisher Scientific) was used to measure the absorbance at 450&#xa0;nm to determine cell viability.</p>
</sec>
<sec id="s2-6">
<title>Annexin V/PI Assay</title>
<p>The percentage of apoptotic cells was detected by Annexin V-FITC apoptosis detection kit (Beyotime, Shanghai, China). After NaAsO<sub>2</sub> (10&#xa0;&#x3bc;M) treatment or DIP (80&#xa0;&#x3bc;g/ml) pretreatment followed by exposure to NaAsO<sub>2</sub>, the L-02 cells were collected and washed with PBS, and re-suspended by adding 100&#xa0;&#x3bc;L binding buffer, and then incubated with 5&#xa0;&#xb5;L Annexin V-FITC, and 10&#xa0;&#xb5;L PI at room temperature. The apoptosis rate was detected by flow cytometry (ACEA NovoCyte, United&#x20;States).</p>
</sec>
<sec id="s2-7">
<title>Protein Extraction for Proteomics Analysis</title>
<p>After treatment with NaAsO<sub>2</sub> (10&#xa0;&#x3bc;M) or DIP (80&#xa0;&#x3bc;g/ml) pretreatment and then exposed to 10&#xa0;&#x3bc;M NaAsO<sub>2</sub>, L-02 cells were rinsed twice with ice-cold PBS. The cells were harvested and resuspended in lysis buffer (8&#xa0;M urea, 2&#xa0;mM EDTA, 10&#xa0;mM DTT, and 1% protease inhibitor cocktail). After sonicated and centrifuged at 13,000&#xa0;g at 4&#xb0;C for 10&#xa0;min to remove debris, the protein in supernatant was precipitated with cold acetone for 2&#xa0;h at &#x2212;20&#xb0;C. After centrifugation at 4&#xb0;C at 12,000 &#xd7; g for 10&#xa0;min, the protein deposit was redissolved by urea buffer [8&#xa0;M urea, 100&#xa0;mM TEAB (triethylammonium bicarbonate)]. The protein concentration was detected using Bradford protein assay kit (Beyotime).</p>
</sec>
<sec id="s2-8">
<title>Trypsin Digestion</title>
<p>For trypsin digestion, 100&#xa0;&#x3bc;g protein of each sample was first reduced with 10&#xa0;mM DTT at 37&#xb0;C for 60&#xa0;min and then alkylated with 55&#xa0;mM iodoacetamide (IAM) at room temperature for 30&#xa0;min in darkness. The urea content of protein extract was diluted by adding 100&#xa0;mM TEAB less than 2&#xa0;M. The protein pool of each sample was digested with trypsin with the ratio of protein: trypsin &#x3d; 50:1 mass ratio at 37&#xb0;C overnight and 100:1 for a second digestion at 4&#xa0;h.</p>
</sec>
<sec id="s2-9">
<title>Peptides Isobaric Tags for Relative and Absolute Quantification Labeling</title>
<p>After trypsin digestion, the peptides were desalted by Strata X SPE column and vacuum-dried. The digested peptides were then labeled with the iTRAQ reagents (AB Sciex), as follows: the control group was labeled with iTRAQ 113 and 114, while NaAsO<sub>2</sub> treatment group with iTRAQ 115 and 116, and DIP pretreatment and NaAsO<sub>2</sub> treatment group with iTRAQ 117 and 118. Briefly, peptides were reconstituted in 20&#xa0;&#x3bc;l 500&#xa0;mM TEAB and processed according to the manufacturer&#x2019;s protocol for 8-plex iTRAQ kit (AB Sciex, Foster City, CA, United&#x20;States). One unit of iTRAQ reagent was applied to the peptide solution after thawed and dissolved in 50&#xa0;&#x3bc;L isopropanol. The peptide mixtures were incubated for 2&#xa0;h at room temperature, then pooled and dried by vacuum centrifugation.</p>
</sec>
<sec id="s2-10">
<title>High-Performance Liquid Chromatographic Fractionation</title>
<p>The dried and labeled peptide was reconstituted with HPLC solution A [2% ACN (acetonitrile), pH 10] and then fractionated into high pH reverse-phase HPLC fractions using Waters Bridge Peptide BEH C18 (130&#xa0;&#xc5;, 3.5&#xa0;&#x3bc;m, 4.6 &#xd7; 250&#xa0;mm). Peptides were first separated by a gradient of 2&#x2013;98% acetonitrile in pH 10 at a speed of 0.6&#xa0;ml/min over 88&#xa0;min into 48 fractions. The peptides were then mixed into 15 fractions and dried by vacuum centrifugation. The peptide fractions were desalted using Ziptip C18 (Millipore, MA, United&#x20;States). Samples were finally dried under vacuum and kept at &#x2212;20&#xb0;C until they were analyzed by MS (mass spectrometry).</p>
</sec>
<sec id="s2-11">
<title>High-Resolution LC-MS/MS Analysis</title>
<p>The experiment was then performed by NanoLC 1000 LC-MS/MS using a Proxeon EAsY-nLC 1000 coupled to Q-Exactive mass spectrometer (Thermo Fisher Scientific, United&#x20;States). Trypsin digestion fractions were reconstituted in 0.1% FA (formic acid) and immediately charged to the reversed-phase pre-column (Acclaim PepMap&#xae;100 C18, 3&#xa0;&#x3bc;m, 100&#xa0;&#xc5;, 75&#xa0;&#x3bc;m &#xd7; 2&#xa0;cm) at 5&#xa0;&#x3bc;l/min in 100% solvent A (0.1&#xa0;M acetic acid in water). Next, peptides eluted from the trap column were loaded into a reversed-phase analytical column (Acclaim PepMap&#xae; RSLC C18, 2&#xa0;&#x3bc;m, 100&#xa0;&#xc5;, 50&#xa0;&#x3bc;m &#xd7; 15&#xa0;cm). The gradient was comprised of an increase from 0 to 8% solvent B 0.1% FA in 98% ACN over 5&#xa0;min, 8&#x2013;25% solvent B over 35&#xa0;min, 25&#x2013;98% solvent B during 10&#xa0;min and keep in 98% in 8&#xa0;min at a constant flow rate of 300&#xa0;nL/min at EAsY-nLC 1000 system. The eluent was sprayed from an NSI source at an electrospray voltage of 2.5&#xa0;kV and then analyzed by tandem mass spectrometry (MS/MS) in Q Exactive. The mass spectrometer was operated in data-dependent mode, automatically switching between MS and MS/MS. Full-scan MS spectra (from m/z 300&#x2013;2000) were acquired in the Orbitrap with a resolution of 70,000. Ion fragments were detected in the Orbitrap at a resolution of 17,500. The 15 most intense precursors were selected for subsequent decision tree-based ion trap HCD fragmentation at the collision energy of 32% in the MS survey scan with 10.0&#xa0;s dynamic exclusion.</p>
</sec>
<sec id="s2-12">
<title>Data Processing and Isobaric Tags for Relative and Absolute Quantification</title>
<p>The resulting MS/MS raw data was searched against the transcriptome database using Sequest software integration in Proteome Discoverer (version 1.3, Thermo Scientific). The quest parameters were as follows: trypsin as a digestion enzyme, two missing cleavages, oxidized methionine, acetylation in N-Term, iTRAQ modification at the N-terminus of the peptide and iTRAQ 8-plex (K, Y) as the variable modification, fixed modifications like carbamidomethyl (C). The peptide mass tolerance and fragment mass tolerance were set to 20&#xa0;ppm and 0.05&#xa0;Da, respectively. A decoy database search strategy was adopted to estimate the false discovery rate (FDR) for peptide identification. For this study, a high peptide confidence (1% FDR) was selected. The cut-off values of 1.2-fold for up-regulated and 0.83-fold for down-regulated proteins, <italic>p</italic>-value &#x3c; 0.05, were set as differentially expressed proteins (DEPs) (<xref ref-type="bibr" rid="B50">Shen et&#x20;al., 2021</xref>).</p>
</sec>
<sec id="s2-13">
<title>Bioinformatics Analysis</title>
<p>Bioinformatics analysis was performed by using OMICSBEAN online tools (<ext-link ext-link-type="uri" xlink:href="http://www.omicsbean.cn/">http://www.omicsbean.cn/</ext-link>) and String (Search Tool for the Retrieval of Interacting Genes/Proteins, version 9.1, <ext-link ext-link-type="uri" xlink:href="http://string-db.org/">http://string-db.org/</ext-link>) database. DEPs were analyzed by GO (gene ontology) annotation, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways, and protein-protein interaction (PPI) networks (<xref ref-type="bibr" rid="B30">Iqbal et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B63">Wei et&#x20;al., 2018</xref>). Functional interaction network analysis was conducted using the ClueGO Cytoscape plugin (<xref ref-type="bibr" rid="B5">Bindea et&#x20;al., 2009</xref>). The GO categories and pathways searched include biological processes (BP), cellular components (CC), molecular function (MF), KEGG (Kyoto Encyclopedia of Genes and Genomes), REACTOME, and Wiki pathway.</p>
</sec>
<sec id="s2-14">
<title>Western Blot Analysis</title>
<p>L-02 cells were incubated in 6-well plates. After being treated with NaAsO<sub>2</sub> or DIP as indicated, cells were collected and lysed with RIPA buffer containing 1&#xa0;mM PMSF and 1% protease inhibitor cocktail. The protein concentration was measured using the BCA kit. After SDS-PAGE electrophoresis transformation, the separated proteins were transferred to a polyvinylidene fluoride (PVDF) membrane. The membrane was blocked with 5% skimmed milk at room temperature for 2&#xa0;h and incubated with the indicated primary antibodies overnight at 4&#xb0;C. After incubated with HRP-conjugated second antibody at room temperature for 1&#xa0;h, the blotting signal was generated by chemiluminescence using an enhanced chemiluminescence (ECL) kit (Thermo Fisher Scientific). The gray value of protein band was analyzed by Image Labe software, and the ratio of target protein to internal reference gray value was used to reflect the expression of protein.</p>
</sec>
<sec id="s2-15">
<title>Statistical Analysis</title>
<p>Statistical analysis was carried out with SPSS Version 20.0 (SPSS Software, Chicago, IL, United&#x20;States). The experimental data is shown as the means&#x20;&#xb1; SD. Single factor analysis of variance (ANOVA) was used to detect the different distribution of various groups. The distribution of biometric values is normalized by logarithmic transformation. The statistically significant level was <italic>p</italic>&#x20;&#x3c;&#x20;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Detection of Components of DIP by High-Performance Liquid Chromatographic</title>
<p>The HPLC detection showed that the monosaccharides in the Dictyophora polysaccharides (DIP) were D-mannose, D-glucose, D-galactose, D-xylose, L-fucose (<xref ref-type="fig" rid="F1">Figure&#x20;1A</xref>), and their contents were 15.27, 523.57, 27.80, 10.01, and 17.84&#xa0;mg/L respectively, of which D-glucose accounted for 88.07% (<xref ref-type="sec" rid="s11">Supplementary Table&#x20;S1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>DIP against NaAsO<sub>2</sub>-induced hepatotoxicity in L-02 cells. <bold>(A)</bold> HPLC profile of sporocarp polysaccharide of Dictyophora. (a) D-mannose. (b) D-glucose. (c) D-galactose. (d) D-xylose. (e) L-fucose. <bold>(B)</bold> The viability of L-02 cells treated with different concentrations of NaAsO<sub>2</sub> (CCK-8 assay). <bold>(C)</bold> The viability of L-02 cells exposed to arsenic (10&#xa0;&#x3bc;M NaAsO<sub>2</sub>) with or without pretreatment with different concentrations of DIP. <bold>(D)</bold> The viability of L-02 cells pretreated with DIP (80&#xa0;&#x3bc;g/ml) and then exposed to different concentrations of NaAsO<sub>2</sub>. <bold>(E)</bold> Flow cytometry profiles showing the distribution of cells <bold>(Left)</bold>. Plot showing the proportion of apoptotic cells <bold>(Right)</bold>. Compared with control group, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01; compared with NaAsO<sub>2</sub> group, &#x23;<italic>p</italic>&#x20;&#x3c; 0.05. <bold>(F)</bold> Western blot analysis of Bax or Bcl-2 protein expression levels when treated with different arsenic concentrations <bold>(Left)</bold>. Plot showing Bax or Bcl-2 protein expression levels <bold>(Right)</bold>. (<bold>G</bold>) Western blot analysis of Bax or Bcl-2 protein expression levels when pretreated with DIP and then treated with arsenic <bold>(Left)</bold>. Plot showing Bax or Bcl-2 protein expression levels <bold>(Right)</bold>. Compared with the control group, &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01. Compared with the control group, &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01; compared with NaAsO<sub>2</sub> group, &#x23;<italic>p</italic>&#x20;&#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>DIP Antagonizes the Suppression Effect of NaAsO<sub>2</sub> on L-02 Cell Viability</title>
<p>To investigate the cytotoxicity of sodium arsenite to L-02 cells, L-02 cells were treated with NaAsO<sub>2</sub> treatment. We found that NaAsO<sub>2</sub> reduced the viability of L-02 cells in a dose-dependent manner. The IC<sub>50</sub> value was 39.89&#x20;&#xb1; 3.20&#xa0;&#x3bc;M (<xref ref-type="fig" rid="F1">Figure&#x20;1B</xref>). However, DIP pretreatment significantly improved L-02 cells viability, even when exposed to 1/8 of IC<sub>50</sub> (5&#xa0;&#x3bc;M) and 1/4 of IC<sub>50</sub> (10&#xa0;&#x3bc;M) NaAsO<sub>2</sub>. Pretreatment with 80&#xa0;&#x3bc;g/ml DIP enabled L-02 cells to tolerate 10&#xa0;&#x3bc;M sodium arsenite (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>). The results indicated that DIP has the potential to antagonize sodium arsenite cytotoxicity.</p>
</sec>
<sec id="s3-3">
<title>DIP Inhibits NaAsO<sub>2</sub>-Induced Apoptosis in L-02 Cells</title>
<p>Considering sodium arsenite is recognized as an apoptosis inducer (<xref ref-type="bibr" rid="B3">Bashir et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B7">Chen et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B51">Sun et&#x20;al., 2017</xref>), we then investigated whether NaAsO<sub>2</sub> could induce apoptosis in L-02 cells. Flow cytometry analysis showed that the proportion of apoptotic cells increased significantly after treatment with 10&#xa0;&#x3bc;M NaAsO<sub>2</sub> (<xref ref-type="fig" rid="F1">Figure&#x20;1E</xref>). Furthermore, with the increasing dosage of NaAsO<sub>2</sub> treatment, pro-apoptotic protein Bax was up-regulated, while anti-apoptotic Bcl-2 protein was down-regulated in L-02 cells (<xref ref-type="fig" rid="F1">Figure&#x20;1F</xref>), suggesting NaAsO<sub>2</sub> can induce the apoptosis of L-02 cells. However, DIP pretreatment not only significantly reduced the apoptosis induced by NaAsO<sub>2</sub> (<xref ref-type="fig" rid="F1">Figure&#x20;1E</xref>) but also reversed the expression of Bax and Bcl-2 (<xref ref-type="fig" rid="F1">Figure&#x20;1G</xref>), revealing the protective role of DIP in resisting sodium arsenite-induced apoptosis of L-02&#x20;cells.</p>
</sec>
<sec id="s3-4">
<title>Overview of Protein Expression Characteristics of Different Groups</title>
<p>The iTRAQ analysis was further performed to explore the molecular mechanism of DIP against sodium arsenite-induced cytotoxicity in L-02 cells. We identified the protein expression profile in L-02 cells treated with 10&#xa0;&#x3bc;M NaAsO<sub>2</sub> compared with the control group (As/Ctrl group). After DIP pretreatment, the protein expression characteristics of arsenic treated group were also analyzed (DIP &#x2b; As/As group). A total of 2,876 proteins were identified. Among them, 60, 71, and 13 proteins were identified as DEPs in As/Ctrl group, DIP &#x2b; As/As group, and DIP &#x2b; As/Ctrl groups (<xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>; <xref ref-type="table" rid="T1">Table&#x20;1</xref>), respectively. Of these, 14 DEPs were found to be common between the As/Ctrl group and DIP &#x2b;&#x20;As/As group, with the opposite expression trend in these two groups (named as reversed proteins; <xref ref-type="fig" rid="F2">Figure&#x20;2D</xref> and <xref ref-type="table" rid="T1">Table&#x20;1</xref>). Cluster analysis showed that the protein expression characteristics of DIP &#x2b; As/As group and DIP &#x2b; As/Ctrl were more similar, but almost opposite to As/Ctrl group (<xref ref-type="fig" rid="F2">Figure&#x20;2E</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The differentially expressed proteins identified in different groups. <bold>(A)</bold> Volcano plots depicted the distribution of proteins in As/Ctrl group. <bold>(B)</bold> Volcano plots depicted the distribution of proteins in DIP &#x2b; As/As group. <bold>(C)</bold> Volcano plots depicted the distribution of proteins in DIP &#x2b; As/Ctrl group. <bold>(D)</bold> Venn diagrams of DEPs between the As/Ctrl group, DIP &#x2b; As/As group, and DIP &#x2b; As/Ctrl group. <bold>(E)</bold> Cluster map comparing the DEPs identified in As/Ctrl, DIP &#x2b; As/As, and DIP &#x2b; As/Ctrl groups. Red color indicates higher expression, green indicates lower expression, and black indicates similar expression levels. <bold>(A&#x2013;C)</bold>: The log<sub>2</sub> fold change (FC) is plotted versus the &#x2013;log<sub>10</sub> of the <italic>p</italic>-value (Benjamini). Red dots &#x3d; hits with <italic>p</italic>&#x20;&#x3c; 0.05 and mean log<sub>2</sub>FC &#x3e; 0.83; blue dots &#x3d; hits with <italic>p</italic>&#x20;&#x3c; 0.05 and means &#x7c;log<sub>2</sub>FC&#x7c; &#x3c; 0.83.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The differentially expressed proteins identified in different groups in this&#x20;study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Protein Name<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">Gene name</th>
<th align="center">Uniprot No.</th>
<th align="center">As/Ctrl <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th align="center">DIP&#x2b;As/As <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th align="center">DIP&#x2b;As/ Ctrl <xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<bold>10&#xa0;kDa heat shock protein, mitochondrial</bold>
</td>
<td align="left">HSPE1</td>
<td align="center">P61604</td>
<td align="char" char=".">
<bold>1.25</bold>
</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.02</td>
</tr>
<tr>
<td align="left">
<bold>14-3-3 protein sigma</bold>
</td>
<td align="left">SFN</td>
<td align="center">P31947</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">1.00</td>
</tr>
<tr>
<td align="left">28S ribosomal protein S29, mitochondrial</td>
<td align="left">DAP3</td>
<td align="center">P51398</td>
<td align="char" char=".">1.20</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">0.99</td>
</tr>
<tr>
<td align="left">2-iminobutanoate/2-iminopropanoate deaminase</td>
<td align="left">HRSP12</td>
<td align="center">P52758</td>
<td align="char" char=".">1.12</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">0.91</td>
</tr>
<tr>
<td align="left">40S ribosomal protein S19</td>
<td align="left">RPS19</td>
<td align="center">P39019</td>
<td align="char" char=".">0.91</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.12</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L17</td>
<td align="left">RPL17</td>
<td align="center">P18621</td>
<td align="char" char=".">0.88</td>
<td align="char" char=".">
<bold>1.32</bold>
</td>
<td align="char" char=".">1.15</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L23a</td>
<td align="left">RPL23A</td>
<td align="center">P62750</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">
<bold>1.29</bold>
</td>
<td align="char" char=".">1.14</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L27</td>
<td align="left">RPL27</td>
<td align="center">P61353</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">
<bold>1.32</bold>
</td>
<td align="char" char=".">1.17</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L34</td>
<td align="left">RPL34</td>
<td align="center">P49207</td>
<td align="char" char=".">0.80</td>
<td align="char" char=".">
<bold>1.47</bold>
</td>
<td align="char" char=".">1.17</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L35a</td>
<td align="left">RPL35A</td>
<td align="center">P18077</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">
<bold>1.35</bold>
</td>
<td align="char" char=".">1.20</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L6</td>
<td align="left">RPL6</td>
<td align="center">Q02878</td>
<td align="char" char=".">0.95</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.16</td>
</tr>
<tr>
<td align="left">60S ribosomal protein L7</td>
<td align="left">RPL7</td>
<td align="center">P18124</td>
<td align="char" char=".">0.90</td>
<td align="char" char=".">
<bold>1.25</bold>
</td>
<td align="char" char=".">1.13</td>
</tr>
<tr>
<td align="left">7,8-dihydro-8-oxoguanine triphosphatase</td>
<td align="left">NUDT1</td>
<td align="center">P36639</td>
<td align="char" char=".">1.02</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">Acetyl-CoA acetyltransferase, mitochondrial</td>
<td align="left">ACAT1</td>
<td align="center">P24752</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">0.86</td>
<td align="char" char=".">1.06</td>
</tr>
<tr>
<td align="left">Activated RNA polymerase II transcriptional coactivator p15</td>
<td align="left">SUB1</td>
<td align="center">P53999</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">1.07</td>
</tr>
<tr>
<td align="left">
<bold>Acyl-coenzyme A thioesterase 2, mitochondrial</bold>
</td>
<td align="left">ACOT2</td>
<td align="center">P49753</td>
<td align="char" char=".">
<bold>1.26</bold>
</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.04</td>
</tr>
<tr>
<td align="left">Adapter molecule crk</td>
<td align="left">CRK</td>
<td align="center">P46108</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.02</td>
<td align="char" char=".">0.84</td>
</tr>
<tr>
<td align="left">ADP-ribosylation factor 4</td>
<td align="left">ARF4</td>
<td align="center">P18085</td>
<td align="char" char=".">0.88</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.08</td>
</tr>
<tr>
<td align="left">ADP-ribosylation factor 5</td>
<td align="left">ARF5</td>
<td align="center">P84085</td>
<td align="char" char=".">0.92</td>
<td align="char" char=".">
<bold>1.40</bold>
</td>
<td align="char" char=".">1.30</td>
</tr>
<tr>
<td align="left">Alkaline phosphatase, intestinal</td>
<td align="left">ALPI</td>
<td align="center">P09923</td>
<td align="char" char=".">
<bold>1.29</bold>
</td>
<td align="char" char=".">0.90</td>
<td align="char" char=".">1.16</td>
</tr>
<tr>
<td align="left">Alkaline phosphatase, tissue-nonspecific isozyme</td>
<td align="left">ALPL</td>
<td align="center">P05186</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">0.96</td>
<td align="char" char=".">1.18</td>
</tr>
<tr>
<td align="left">Alpha-2-macroglobulin</td>
<td align="left">A2M</td>
<td align="center">P01023</td>
<td align="char" char=".">1.17</td>
<td align="char" char=".">
<bold>0.72</bold>
</td>
<td align="char" char=".">0.84</td>
</tr>
<tr>
<td align="left">Alpha-taxilin</td>
<td align="left">TXLNA</td>
<td align="center">P40222</td>
<td align="char" char=".">0.92</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.13</td>
</tr>
<tr>
<td align="left">Aminopeptidase N</td>
<td align="left">ANPEP</td>
<td align="center">P15144</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.10</td>
<td align="char" char=".">0.91</td>
</tr>
<tr>
<td align="left">Annexin A1</td>
<td align="left">ANXA1</td>
<td align="center">P04083</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.14</td>
<td align="char" char=".">0.93</td>
</tr>
<tr>
<td align="left">Annexin A11</td>
<td align="left">ANXA11</td>
<td align="center">P50995</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.15</td>
<td align="char" char=".">0.95</td>
</tr>
<tr>
<td align="left">ATPase inhibitor, mitochondrial</td>
<td align="left">ATPIF1</td>
<td align="center">Q9UII2</td>
<td align="char" char=".">
<bold>1.26</bold>
</td>
<td align="char" char=".">0.90</td>
<td align="char" char=".">1.13</td>
</tr>
<tr>
<td align="left">Branched-chain-amino-acid aminotransferase, mitochondrial</td>
<td align="left">BCAT2</td>
<td align="center">O15382</td>
<td align="char" char=".">1.20</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">0.97</td>
</tr>
<tr>
<td align="left">Cell division control protein 42 homolog</td>
<td align="left">CDC42</td>
<td align="center">P60953</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">1.06</td>
</tr>
<tr>
<td align="left">Charged multivesicular body protein 1a</td>
<td align="left">CHMP1A</td>
<td align="center">Q9HD42</td>
<td align="char" char=".">0.90</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.11</td>
</tr>
<tr>
<td align="left">Clusterin</td>
<td align="left">CLU</td>
<td align="center">P10909</td>
<td align="char" char=".">
<bold>1.31</bold>
</td>
<td align="char" char=".">0.86</td>
<td align="char" char=".">1.12</td>
</tr>
<tr>
<td align="left">
<bold>Coatomer subunit zeta-1</bold>
</td>
<td align="left">COPZ1</td>
<td align="center">P61923</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">
<bold>1.24</bold>
</td>
<td align="char" char=".">1.03</td>
</tr>
<tr>
<td align="left">Cob(I)yrinic acid a,c-diamide adenosyltransferase, mitochondrial</td>
<td align="left">MMAB</td>
<td align="center">Q96EY8</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">1.06</td>
</tr>
<tr>
<td align="left">Complement decay-accelerating factor</td>
<td align="left">CD55</td>
<td align="center">P08174</td>
<td align="char" char=".">0.71</td>
<td align="char" char=".">
<bold>1.85</bold>
</td>
<td align="char" char=".">1.33</td>
</tr>
<tr>
<td align="left">
<bold>Deoxyribonuclease-2-alpha</bold>
</td>
<td align="left">DNASE2</td>
<td align="center">O00115</td>
<td align="char" char=".">
<bold>1.27</bold>
</td>
<td align="char" char=".">
<bold>0.77</bold>
</td>
<td align="char" char=".">0.98</td>
</tr>
<tr>
<td align="left">Dihydrolipoamide branched chain transacylase E2</td>
<td align="left">DBT</td>
<td align="center">P11182</td>
<td align="char" char=".">1.33</td>
<td align="char" char=".">
<bold>0.75</bold>
</td>
<td align="char" char=".">1.01</td>
</tr>
<tr>
<td align="left">DNA polymerase delta interacting protein 2</td>
<td align="left">POLDIP2</td>
<td align="center">Q9Y2S7</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">0.85</td>
<td align="char" char=".">1.04</td>
</tr>
<tr>
<td align="left">DnaJ homolog subfamily C member 9</td>
<td align="left">DNAJC9</td>
<td align="center">Q8WXX5</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.10</td>
<td align="char" char=".">0.91</td>
</tr>
<tr>
<td align="left">Dynein light chain roadblock-type 1</td>
<td align="left">DYNLRB1</td>
<td align="center">Q9NP97</td>
<td align="char" char=".">1.08</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">0.85</td>
</tr>
<tr>
<td align="left">ERO1-like protein alpha</td>
<td align="left">ERO1A</td>
<td align="center">Q96HE7</td>
<td align="char" char=".">0.84</td>
<td align="char" char=".">0.94</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">Eukaryotic translation initiation factor 5A-1</td>
<td align="left">EIF5A</td>
<td align="center">P63241</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">0.88</td>
</tr>
<tr>
<td align="left">Fructose-bisphosphate aldolase A</td>
<td align="left">ALDOA</td>
<td align="center">P04075</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.06</td>
<td align="char" char=".">0.88</td>
</tr>
<tr>
<td align="left">General transcription factor 3C polypeptide 4</td>
<td align="left">GTF3C4</td>
<td align="center">Q9UKN8</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">0.99</td>
<td align="char" char=".">0.81</td>
</tr>
<tr>
<td align="left">Glycylpeptide N-tetradecanoyltransferase 1</td>
<td align="left">NMT1</td>
<td align="center">P30419</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>1.26</bold>
</td>
<td align="char" char=".">1.09</td>
</tr>
<tr>
<td align="left">Heterogeneous nuclear ribonucleoproteins A2/B1</td>
<td align="left">HNRNPA2B1</td>
<td align="center">P22626</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">0.86</td>
<td align="char" char=".">1.06</td>
</tr>
<tr>
<td align="left">
<bold>Heterogeneous nuclear ribonucleoproteins C1/C2</bold>
</td>
<td align="left">HNRNPC</td>
<td align="center">P07910</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">1.01</td>
</tr>
<tr>
<td align="left">Histone cluster 1 H4 family member f</td>
<td align="left">HIST1H4A</td>
<td align="center">P62805</td>
<td align="char" char=".">0.92</td>
<td align="char" char=".">
<bold>1.27</bold>
</td>
<td align="char" char=".">1.17</td>
</tr>
<tr>
<td align="left">Histone H2B type 1-A</td>
<td align="left">HIST1H2BA</td>
<td align="center">Q96A08</td>
<td align="char" char=".">0.91</td>
<td align="char" char=".">
<bold>1.35</bold>
</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
</tr>
<tr>
<td align="left">HLA class I histocompatibility antigen, B-7 alpha chain</td>
<td align="left">HLA-B</td>
<td align="center">P30479</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>1.31</bold>
</td>
<td align="char" char=".">1.14</td>
</tr>
<tr>
<td align="left">Integrin beta-4</td>
<td align="left">ITGB4</td>
<td align="center">P16144</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.12</td>
<td align="char" char=".">0.87</td>
</tr>
<tr>
<td align="left">
<bold>Isocitrate dehydrogenase (NAD) subunit beta, mitochondrial</bold>
</td>
<td align="left">IDH3B</td>
<td align="center">O43837</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
<td align="char" char=".">0.95</td>
</tr>
<tr>
<td align="left">Isocitrate dehydrogenase (NAD) subunit gamma, mitochondrial</td>
<td align="left">IDH3G</td>
<td align="center">P51553</td>
<td align="char" char=".">1.13</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
<td align="char" char=".">0.90</td>
</tr>
<tr>
<td align="left">Jupiter microtubule associated homolog 1</td>
<td align="left">JPT1</td>
<td align="center">Q9UK76</td>
<td align="char" char=".">0.83</td>
<td align="char" char=".">0.96</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">Keratin, type I cytoskeletal 10</td>
<td align="left">KRT10</td>
<td align="center">P13645</td>
<td align="char" char=".">1.28</td>
<td align="char" char=".">
<bold>0.72</bold>
</td>
<td align="char" char=".">0.95</td>
</tr>
<tr>
<td align="left">Keratin, type I cytoskeletal 9</td>
<td align="left">KRT9</td>
<td align="center">P35527</td>
<td align="char" char=".">1.02</td>
<td align="char" char=".">
<bold>0.65</bold>
</td>
<td align="char" char=".">0.71</td>
</tr>
<tr>
<td align="left">Keratin, type II cytoskeletal 1</td>
<td align="left">KRT1</td>
<td align="center">P04264</td>
<td align="char" char=".">1.16</td>
<td align="char" char=".">
<bold>0.67</bold>
</td>
<td align="char" char=".">0.79</td>
</tr>
<tr>
<td align="left">
<bold>Keratin, type II cytoskeletal 2 epidermal</bold>
</td>
<td align="left">KRT2</td>
<td align="center">P35908</td>
<td align="char" char=".">
<bold>1.38</bold>
</td>
<td align="char" char=".">
<bold>0.68</bold>
</td>
<td align="char" char=".">0.95</td>
</tr>
<tr>
<td align="left">Lactate dehydrogenase A</td>
<td align="left">LDHA</td>
<td align="center">P00338</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.20</td>
<td align="char" char=".">0.93</td>
</tr>
<tr>
<td align="left">LIM and calponin homology domains 1</td>
<td align="left">LIMCH1</td>
<td align="center">Q9UPQ0</td>
<td align="char" char=".">1.39</td>
<td align="char" char=".">0.71</td>
<td align="char" char=".">1.00</td>
</tr>
<tr>
<td align="left">Macrophage migration inhibitory factor</td>
<td align="left">MIF</td>
<td align="center">P14174</td>
<td align="char" char=".">0.74</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">0.63</td>
</tr>
<tr>
<td align="left">Metallothionein-1E</td>
<td align="left">MT1E</td>
<td align="center">P04732</td>
<td align="char" char=".">1.41</td>
<td align="char" char=".">
<bold>0.74</bold>
</td>
<td align="char" char=".">1.08</td>
</tr>
<tr>
<td align="left">Metallothionein-1X</td>
<td align="left">MT1X</td>
<td align="center">P80297</td>
<td align="char" char=".">1.06</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">0.87</td>
</tr>
<tr>
<td align="left">Midasin</td>
<td align="left">MDN1</td>
<td align="center">Q9NU22</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.00</td>
<td align="char" char=".">0.78</td>
</tr>
<tr>
<td align="left">Mitochondrial coiled-coil-helix-coiled-coil-helix domain containing proteins</td>
<td align="left">CHCHD5</td>
<td align="center">Q9BSY4</td>
<td align="char" char=".">
<bold>1.34</bold>
</td>
<td align="char" char=".">0.74</td>
<td align="char" char=".">0.98</td>
</tr>
<tr>
<td align="left">Mitochondrial fission factor</td>
<td align="left">MFF</td>
<td align="center">Q9GZY8</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">1.07</td>
</tr>
<tr>
<td align="left">Mitochondrial import inner membrane translocase subunit TIM50</td>
<td align="left">TIMM50</td>
<td align="center">Q3ZCQ8</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">1.12</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
</tr>
<tr>
<td align="left">Mitochondrial ribosomal protein L11</td>
<td align="left">MRPL11</td>
<td align="center">Q9Y3B7</td>
<td align="char" char=".">1.19</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">0.97</td>
</tr>
<tr>
<td align="left">Mitochondrial ribosomal protein L39</td>
<td align="left">MRPL39</td>
<td align="center">Q9NYK5</td>
<td align="char" char=".">1.14</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">0.95</td>
</tr>
<tr>
<td align="left">Mitochondrial ribosomal protein L43</td>
<td align="left">MRPL43</td>
<td align="center">Q8N983</td>
<td align="char" char=".">1.15</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">0.94</td>
</tr>
<tr>
<td align="left">
<bold>Mitochondrial ribosomal protein S28</bold>
</td>
<td align="left">MRPS28</td>
<td align="center">Q9Y2Q9</td>
<td align="char" char=".">
<bold>1.35</bold>
</td>
<td align="char" char=".">
<bold>0.73</bold>
</td>
<td align="char" char=".">0.99</td>
</tr>
<tr>
<td align="left">NADH dehydrogenase (ubiquinone) 1 alpha subcomplex subunit 5</td>
<td align="left">NDUFA5</td>
<td align="center">Q16718</td>
<td align="char" char=".">1.10</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">0.90</td>
</tr>
<tr>
<td align="left">NADH dehydrogenase (ubiquinone) 1 alpha subcomplex subunit 10, mitochondrial</td>
<td align="left">NDUFA10</td>
<td align="center">O95299</td>
<td align="char" char=".">1.17</td>
<td align="char" char=".">1.03</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
</tr>
<tr>
<td align="left">Niban-like protein 1</td>
<td align="left">NIBAN2</td>
<td align="center">Q96TA1</td>
<td align="char" char=".">
<bold>0.72</bold>
</td>
<td align="char" char=".">1.08</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">N-terminal Xaa-Pro-Lys N-methyltransferase 1</td>
<td align="left">NTMT1</td>
<td align="center">Q9BV86</td>
<td align="char" char=".">0.80</td>
<td align="char" char=".">
<bold>1.24</bold>
</td>
<td align="char" char=".">1.00</td>
</tr>
<tr>
<td align="left">Paired amphipathic helix protein Sin3a</td>
<td align="left">SIN3A</td>
<td align="center">Q96ST3</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">0.94</td>
<td align="char" char=".">1.14</td>
</tr>
<tr>
<td align="left">
<bold>PDZ and LIM domain protein 5</bold>
</td>
<td align="left">PDLIM5</td>
<td align="center">Q96HC4</td>
<td align="char" char=".">
<bold>0.76</bold>
</td>
<td align="char" char=".">
<bold>1.30</bold>
</td>
<td align="char" char=".">0.99</td>
</tr>
<tr>
<td align="left">
<bold>Peptidyl-prolyl cis-trans isomerase</bold>
</td>
<td align="left">PPIL3</td>
<td align="center">Q9H2H8</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">
<bold>1.31</bold>
</td>
<td align="char" char=".">1.07</td>
</tr>
<tr>
<td align="left">
<bold>Peptidyl-prolyl cis-trans isomerase F, mitochondrial</bold>
</td>
<td align="left">PPIF</td>
<td align="center">P30405</td>
<td align="char" char=".">
<bold>1.31</bold>
</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.03</td>
</tr>
<tr>
<td align="left">Phosphoglycerate kinase 1</td>
<td align="left">PGK1</td>
<td align="center">P00558</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">0.83</td>
</tr>
<tr>
<td align="left">Plasminogen activator inhibitor 1&#x20;RNA-binding protein</td>
<td align="left">SERBP1</td>
<td align="center">Q8NC51</td>
<td align="char" char=".">0.88</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">1.06</td>
</tr>
<tr>
<td align="left">Platelet-activating factor acetylhydrolase IB subunit beta</td>
<td align="left">PAFAH1B2</td>
<td align="center">P68402</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
<td align="char" char=".">0.95</td>
<td align="char" char=".">0.75</td>
</tr>
<tr>
<td align="left">PRA1 family protein 2</td>
<td align="left">PRAF2</td>
<td align="center">O60831</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.11</td>
<td align="char" char=".">0.86</td>
</tr>
<tr>
<td align="left">Prefoldin subunit 3</td>
<td align="left">VBP1</td>
<td align="center">P61758</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.05</td>
<td align="char" char=".">0.87</td>
</tr>
<tr>
<td align="left">Pre-mRNA-splicing factor SYF1</td>
<td align="left">XAB2</td>
<td align="center">Q9HCS7</td>
<td align="char" char=".">0.94</td>
<td align="char" char=".">
<bold>1.25</bold>
</td>
<td align="char" char=".">1.18</td>
</tr>
<tr>
<td align="left">Prostaglandin F2 receptor negative regulator</td>
<td align="left">PTGFRN</td>
<td align="center">Q9P2B2</td>
<td align="char" char=".">1.23</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">1.09</td>
</tr>
<tr>
<td align="left">Protein CutA</td>
<td align="left">CUTA</td>
<td align="center">O60888</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.01</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">Protein lin-7 homolog C</td>
<td align="left">LIN7C</td>
<td align="center">Q9NUP9</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">0.93</td>
<td align="char" char=".">1.14</td>
</tr>
<tr>
<td align="left">Protein phosphatase inhibitor 2</td>
<td align="left">PPP1R2</td>
<td align="center">P41236</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.10</td>
<td align="char" char=".">0.90</td>
</tr>
<tr>
<td align="left">Protein phosphatase methylesterase 1</td>
<td align="left">PPME1</td>
<td align="center">Q9Y570</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">0.89</td>
</tr>
<tr>
<td align="left">
<bold>Protein S100-A11</bold>
</td>
<td align="left">S100A11</td>
<td align="center">P31949</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">0.96</td>
</tr>
<tr>
<td align="left">Protein transport protein Sec61 subunit beta</td>
<td align="left">SEC61B</td>
<td align="center">P60468</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">1.05</td>
</tr>
<tr>
<td align="left">Pyruvate kinase PKM</td>
<td align="left">PKM</td>
<td align="center">P14618</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.19</td>
<td align="char" char=".">0.98</td>
</tr>
<tr>
<td align="left">Ribosomal protein L13</td>
<td align="left">RPL13</td>
<td align="center">P26373</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.07</td>
</tr>
<tr>
<td align="left">Ribosomal protein L19</td>
<td align="left">RPL19</td>
<td align="center">P84098</td>
<td align="char" char=".">0.93</td>
<td align="char" char=".">
<bold>1.23</bold>
</td>
<td align="char" char=".">1.14</td>
</tr>
<tr>
<td align="left">Ribosomal protein L24</td>
<td align="left">RPL24</td>
<td align="center">P83731</td>
<td align="char" char=".">0.85</td>
<td align="char" char=".">
<bold>1.28</bold>
</td>
<td align="char" char=".">1.09</td>
</tr>
<tr>
<td align="left">Ribosomal protein L26</td>
<td align="left">RPL26</td>
<td align="center">P61254</td>
<td align="char" char=".">0.93</td>
<td align="char" char=".">
<bold>1.25</bold>
</td>
<td align="char" char=".">1.16</td>
</tr>
<tr>
<td align="left">Ribosomal protein L31</td>
<td align="left">RPL31</td>
<td align="center">P62899</td>
<td align="char" char=".">0.82</td>
<td align="char" char=".">
<bold>1.62</bold>
</td>
<td align="char" char=".">1.31</td>
</tr>
<tr>
<td align="left">Ribosomal protein S13</td>
<td align="left">RPS13</td>
<td align="center">P62277</td>
<td align="char" char=".">0.88</td>
<td align="char" char=".">1.27</td>
<td align="char" char=".">1.11</td>
</tr>
<tr>
<td align="left">Ribosomal protein S15a</td>
<td align="left">RPS15A</td>
<td align="center">P62244</td>
<td align="char" char=".">0.86</td>
<td align="char" char=".">1.21</td>
<td align="char" char=".">1.05</td>
</tr>
<tr>
<td align="left">Ribosomal protein S5</td>
<td align="left">RPS5</td>
<td align="center">P46782</td>
<td align="char" char=".">0.88</td>
<td align="char" char=".">1.21</td>
<td align="char" char=".">1.07</td>
</tr>
<tr>
<td align="left">S100 calcium binding protein A4</td>
<td align="left">S100A4</td>
<td align="center">P26447</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">1.12</td>
<td align="char" char=".">0.90</td>
</tr>
<tr>
<td align="left">Serine/arginine-rich splicing factor 3</td>
<td align="left">SRSF3</td>
<td align="center">P84103</td>
<td align="char" char=".">1.18</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">0.96</td>
</tr>
<tr>
<td align="left">Serine/threonine-protein phosphatase 1 regulatory subunit 10</td>
<td align="left">PPP1R10</td>
<td align="center">Q96QC0</td>
<td align="char" char=".">
<bold>1.22</bold>
</td>
<td align="char" char=".">0.96</td>
<td align="char" char=".">1.18</td>
</tr>
<tr>
<td align="left">Serum albumin</td>
<td align="left">ALB</td>
<td align="center">P02768</td>
<td align="char" char=".">
<bold>0.80</bold>
</td>
<td align="char" char=".">0.98</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
</tr>
<tr>
<td align="left">SH3&#x20;domain-binding glutamic acid-rich-like protein 3</td>
<td align="left">SH3BGRL3</td>
<td align="center">Q9H299</td>
<td align="char" char=".">
<bold>0.65</bold>
</td>
<td align="char" char=".">1.15</td>
<td align="char" char=".">
<bold>0.75</bold>
</td>
</tr>
<tr>
<td align="left">Signal transducer and activator of transcription 5B</td>
<td align="left">STAT5B</td>
<td align="center">P51692</td>
<td align="char" char=".">
<bold>0.79</bold>
</td>
<td align="char" char=".">1.08</td>
<td align="char" char=".">0.86</td>
</tr>
<tr>
<td align="left">
<bold>SRA stem-loop-interacting RNA-binding protein, mitochondrial</bold>
</td>
<td align="left">SLIRP</td>
<td align="center">Q9GZT3</td>
<td align="char" char=".">
<bold>1.21</bold>
</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.01</td>
</tr>
<tr>
<td align="left">Stathmin</td>
<td align="left">STMN1</td>
<td align="center">P16949</td>
<td align="char" char=".">
<bold>0.78</bold>
</td>
<td align="char" char=".">1.09</td>
<td align="char" char=".">0.85</td>
</tr>
<tr>
<td align="left">Thioredoxin-dependent peroxide reductase, mitochondrial</td>
<td align="left">PRDX3</td>
<td align="center">P30048</td>
<td align="char" char=".">1.20</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">0.97</td>
</tr>
<tr>
<td align="left">Thymosin beta-4</td>
<td align="left">TMSB4X</td>
<td align="center">P62328</td>
<td align="char" char=".">0.85</td>
<td align="char" char=".">
<bold>1.27</bold>
</td>
<td align="char" char=".">1.08</td>
</tr>
<tr>
<td align="left">Transcription factor BTF3</td>
<td align="left">BTF3</td>
<td align="center">P20290</td>
<td align="char" char=".">0.92</td>
<td align="char" char=".">0.87</td>
<td align="char" char=".">
<bold>0.80</bold>
</td>
</tr>
<tr>
<td align="left">Transcription initiation factor TFIID subunit 6</td>
<td align="left">TAF6</td>
<td align="center">P49848</td>
<td align="char" char=".">
<bold>1.40</bold>
</td>
<td align="char" char=".">0.84</td>
<td align="char" char=".">1.18</td>
</tr>
<tr>
<td align="left">Transgelin-2</td>
<td align="left">TAGLN2</td>
<td align="center">P37802</td>
<td align="char" char=".">
<bold>0.82</bold>
</td>
<td align="char" char=".">1.06</td>
<td align="char" char=".">0.87</td>
</tr>
<tr>
<td align="left">Triosephosphate isomerase 1</td>
<td align="left">TPI1</td>
<td align="center">P60174</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
<td align="char" char=".">1.03</td>
<td align="char" char=".">0.85</td>
</tr>
<tr>
<td align="left">tRNA methyltransferase 10 homolog C</td>
<td align="left">TRMT10C</td>
<td align="center">Q7L0Y3</td>
<td align="char" char=".">0.93</td>
<td align="char" char=".">0.89</td>
<td align="char" char=".">
<bold>0.83</bold>
</td>
</tr>
<tr>
<td align="left">tRNA pseudouridine synthase A</td>
<td align="left">PUS1</td>
<td align="center">Q9Y606</td>
<td align="char" char=".">0.94</td>
<td align="char" char=".">
<bold>1.24</bold>
</td>
<td align="char" char=".">1.16</td>
</tr>
<tr>
<td align="left">Tropomyosin alpha-3 chain</td>
<td align="left">TPM3</td>
<td align="center">P06753</td>
<td align="char" char=".">0.91</td>
<td align="char" char=".">
<bold>1.29</bold>
</td>
<td align="char" char=".">1.18</td>
</tr>
<tr>
<td align="left">Tubulin beta-6 chain</td>
<td align="left">TUBB6</td>
<td align="center">Q9BUF5</td>
<td align="char" char=".">
<bold>0.77</bold>
</td>
<td align="char" char=".">1.15</td>
<td align="char" char=".">0.89</td>
</tr>
<tr>
<td align="left">Tubulin-folding cofactor B</td>
<td align="left">TBCB</td>
<td align="center">Q99426</td>
<td align="char" char=".">
<bold>0.76</bold>
</td>
<td align="char" char=".">1.00</td>
<td align="char" char=".">
<bold>0.76</bold>
</td>
</tr>
<tr>
<td align="left">Ubiquitin carboxyl-terminal hydrolase isozyme L5</td>
<td align="left">UCHL5</td>
<td align="center">Q9Y5K5</td>
<td align="char" char=".">1.13</td>
<td align="char" char=".">
<bold>0.77</bold>
</td>
<td align="char" char=".">0.87</td>
</tr>
<tr>
<td align="left">UDP-glucose 4-epimerase</td>
<td align="left">GALE</td>
<td align="center">Q14376</td>
<td align="char" char=".">0.91</td>
<td align="char" char=".">
<bold>1.25</bold>
</td>
<td align="char" char=".">1.13</td>
</tr>
<tr>
<td align="left">V-type proton ATPase subunit B, brain isoform</td>
<td align="left">ATP6V1B2</td>
<td align="center">P21281</td>
<td align="char" char=".">1.16</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">0.94</td>
</tr>
<tr>
<td align="left">Zyxin</td>
<td align="left">ZYX</td>
<td align="center">Q15942</td>
<td align="char" char=".">
<bold>0.81</bold>
</td>
<td align="char" char=".">1.07</td>
<td align="char" char=".">0.86</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Bold: the reversed proteins identified in the present&#x20;study.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>Fold change, bold, p&#x20;&#x3c; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Protein Expression Profile of NaAsO<sub>2</sub>-Treated L-02 Cells Compared With Natural Growth L-02 Cells (As/Ctrl Group).</title>
<p>By bioinformatics analysis, the BP, CC, MF, and KEGG pathways associated with these 60 DEPs in As/Ctrl group are presented in <xref ref-type="fig" rid="F3">Figures 3A&#x2013;D</xref> and <xref ref-type="sec" rid="s11">Supplementary Table S2&#x2013;5</xref>. The BP related to DEPs in As/Ctrl group involved mainly in the generation of precursor metabolites and energy, glycolytic process, ATP generation from ADP, pyruvate biosynthesis process, and NADH regeneration, etc. (<xref ref-type="fig" rid="F3">Figure&#x20;3A</xref>)<bold>.</bold> In particular<bold>,</bold> 14 DEPs were related to regulation of apoptotic process including ALB, ANXA1, ATPIF1, CLU, FAM129B, HSPE1, LDHA, MFF, MIF, PPIF, PPP1R10, SFN, SIN3A, and STAT5B (<xref ref-type="sec" rid="s11">Supplemenntary Table S2</xref>). Four DEPs (CLU, MFF, PPIF, and SFN) were associated with apoptotic mitochondrial changes, 3 DEPs (MFF, POLDIP2, and SLIRP) were related to mitochondrion morphogenesis, and 3 DEPs (CLU, MFF, and SFN) were involved in the release of cytochrome c from mitochondria (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>). The DEPs were mainly distributed in the cytoplasm, cytoplasmic parts, mitochondrion, and mitochondrial matrix, etc. (<xref ref-type="fig" rid="F3">Figure&#x20;3B</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S3</xref>). The MF of these DEPs included protein binding, calcium-dependent protein binding, alkaline phosphatase activity, and protein phosphatase inhibitor activity, etc. (<xref ref-type="sec" rid="s11">Supplementary Table&#x20;S4</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Bioinformatics analysis of the differentially expressed proteins in As/Ctrl group. <bold>(A)</bold> The top 10 ranking of BP associated with differentially expressed proteins. <bold>(B)</bold> The top 10 ranking of CC associated with differentially expressed proteins. <bold>(C)</bold> The significantly enriched pathways linked to differentially expressed proteins. <bold>(D)</bold> PPI network linked to the differentially expressed proteins in As/Ctrl group. Red: the expression of these proteins was up-regulated. Green: the expression of these proteins was down-regulated. <bold>(E)</bold> Functional interaction network analysis was performed by using ClueGO cytoscape plugin. <bold>(F)</bold> Overview the specific cluster. <bold>(A&#x2013;C)</bold> Number of proteins associated with each category for gene-enrichment analysis is shown on the right of each term&#x20;bar.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g003.tif"/>
</fig>
<p>After NaAsO<sub>2</sub> treatment, KEGG pathway analysis showed that most DEPs were involved in metabolic pathways, including glycolysis, carbon metabolism, pyruvate metabolism, amino acid biosynthesis and metabolic thiamine, folic acid biosynthesis, etc. (<xref ref-type="fig" rid="F3">Figure&#x20;3C</xref>). Seven (7) DEPs were involved in these metabolism-related pathways, including ACAT1, ALDOA, IDH3B, LDHA, PGK1, PKM, and TPI1. Among them, 5 DEPs were down-regulated in L-02 cells, including ALDOA, LDHA, PGK1, PKM, TPI1 (<xref ref-type="table" rid="T1">Table&#x20;1</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S5</xref>). Other signal transduction pathways included the HIF-1 signaling pathway. The DEPs associated with this pathway include ALDOA, LDHA, and PGK1, which have also been down-regulated (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S5</xref>). The PPI network associated with the DEPs is shown in <xref ref-type="fig" rid="F3">Figure&#x20;3D</xref>. Consistently, these DEPs were enriched into metabolism-related pathways, including glycolysis/gluconeogenesis, glycosylcarbon metabolism, pyruvate metabolism, and amino acid biosynthesis, etc. The proteins include ALDOA, LDHA, PGK1, PKM, TPI1 are a key note in the PPI network. HIF-1 pathway is also shown in PPI network.</p>
<p>By using the ClueGO for functional enrichment, the DEPs were mainly related to the pathway of aerobic glycolysis, the release of mitochondrial cytochrome C, and RAC1/PAK1/MMP2 pathway (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>; <xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>). Aerobic glycolysis contains the above metabolic pathways such as glycolysis, gluconeogenesis, pyruvate metabolism, and HIF-1 related pathways (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>). The results showed that NaAsO<sub>2</sub> treatment caused significant changes in metabolism-related pathways in L-02&#x20;cells.</p>
</sec>
<sec id="s3-6">
<title>Protein Expression Profiles of DIP &#x2b; As-Treated Group Compared With As-Treated Group (DIP &#x2b; As/As Group)</title>
<p>Seventy-one (71) DEPs were identified in the DIP &#x2b; As/As group. By GO analysis, BP-associated DEPs involve primarily SRP-dependent co-translational protein targeting and membrane, translation, cytoplasmic translation, and mitochondrial gene expression (<xref ref-type="fig" rid="F4">Figure&#x20;4A</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S6</xref>). They were widely distributed in cells (<xref ref-type="fig" rid="F4">Figure&#x20;4B,C</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S7</xref>) and MF is presented in <xref ref-type="sec" rid="s11">Supplementary Table S8</xref>. Of note, combined GO analysis with UniProt annotation, 21 DEPs were ribosomal proteins (RPs), including DAP3, MRPL11, MRPL39, MRPL43, MRPS28, RPL13, RPL17, RPL19, RPL23A, RPL24, RPL26, RPL27, RPL31, RPL6, RPL7, RPL34, RPL35A, RPS13, RPS15A, RPS19, and RPS5. Among them, 5 DEPs were mitochondrial ribosomal proteins, including DAP3, MRPL11, MRPL39, MRPL43, and MRPS28 (<xref ref-type="sec" rid="s11">Supplementary Table S7</xref>). Based on GO analysis and UniProt annotation, the other 16 were classified as cytoplasmic RPs in the present study. KEGG analysis showed the enrichment of ribosome-related protein translation pathways, nucleotides, and protein metabolism pathways (<xref ref-type="fig" rid="F4">Figure&#x20;4C</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S9</xref>), which also are consistent with the GO analysis. In the PPI network analysis, a notable feature was that the DEPs associated with ribosomes were enriched. TCA cycle and amino acid-related biosynthesis pathways were also involved (<xref ref-type="fig" rid="F4">Figure&#x20;4D</xref>). Similarly, by using ClueGO for functional enrichment analysis, the DEPs in the DIP&#x20;&#x2b; As/As group were highly correlated with the ribosomes (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>; <xref ref-type="sec" rid="s11">Supplementary Figure&#x20;S2</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Bioinformatics analysis of the deferentially expressed proteins in DIP &#x2b; As/As group. <bold>(A)</bold> The top 10 ranking of BP related to the deferentially expressed proteins. <bold>(B)</bold> The top 10 ranking of CC related to the deferentially expressed proteins. <bold>(C)</bold> The significantly enriched pathways associated with the deferentially expressed proteins. KEGG pathway and the top 10 ranking of Reactome pathways. <bold>(D)</bold> PPI network linked to the differentially expressed proteins in DIP &#x2b; As/As group. Red: the expression of these proteins was up-regulated. Green: the expression of these proteins was down-regulated. <bold>(E)</bold> Functional interaction network analysis was performed by using ClueGO cytoscape plugin. <bold>(F)</bold> Overview the specific cluster. <bold>(A&#x2013;C)</bold> Number of proteins associated with each category for gene-enrichment analysis is shown on the right of each term&#x20;bar.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g004.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Protein Expression Profiles of DIP &#x2b; As-Treated Group Compared With Control Group (DIP &#x2b; As/Ctrl Group) and the Reversed Proteins Between As/Ctrl Group and DIP &#x2b; As/As Group</title>
<p>Subsequently, we analyzed the protein expression profiles of DIP &#x2b; As-treated group compared with the control group. Thirteen (13) DEPs were identified in this group. The relatively small number of DEPs suggested that DIP pre-intervention altered the protein expression profile of L-02 cells exposed to As, making it similar to normal growth L-02 cells. In addition, a total of 14 DEPs overlapped between As/Ctrl group and DIP &#x2b; As/As group. Among these, 9 proteins were up-regulated and 5 proteins were down-regulated in As/Ctrl group, while their expression trend was reversed in DIP &#x2b; As/As group. They were named as revered proteins (<xref ref-type="sec" rid="s11">Supplementary Figure&#x20;S3A</xref>).</p>
<p>GO analysis showed that these 14 revered proteins were widely distributed in cells, and KEGG analysis identified that these reversed proteins were not only primarily involved in the regulation of metabolic pathways and other biological processes, including: 2-oxygen carboxylic acid metabolism, amino acid biosynthesis, citric acid cycle (TCA cycle), but also related to the p53 signaling pathway (<xref ref-type="sec" rid="s11">Supplementary Figure S3B,C</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S10</xref>). The PPI network showed that those proteins were correlated with carbon metabolism, amino acid biosynthetic, TCA cycle, 2-oxycarboxylic acid metabolism, cell cycle, and P53 signaling pathways (<xref ref-type="sec" rid="s11">Supplementary Figure&#x20;S3D</xref>).</p>
</sec>
<sec id="s3-8">
<title>Hub Gene Analysis and Cluster Analysis of the Expression of Differentially Expressed Proteins in the Key Pathways</title>
<p>The hub genes in As/Ctrl group and DIP &#x2b; As/As group were analyzed. As shown in <xref ref-type="fig" rid="F5">Figure&#x20;5A,B</xref>, 8 DEPs (PKM, TPI1, ALDOA, PGK1, ALPI, ALPL, MIF, and ANPEP) were identified as hub genes in As/Ctrl group. Twenty-three (23) DEPs were identified as hub genes in DIP &#x2b; As/As group. Of these, 16 were ribosomal proteins.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Hub gene and cluster analysis and Western blot analysis verification of DEPs in the key pathways. <bold>(A)</bold> The bubble chart the differentially expressed proteins associated with As/Ctrl group. <bold>(B)</bold> The bubble chart the differentially expressed proteins associated with DIP &#x2b; As/As group. <bold>(C)</bold> Cluster analysis of ribosomal proteins in different groups. <bold>(D)</bold> Cluster analysis of apoptosis-related proteins in different groups. <bold>(E)</bold> Cluster analysis of mitochondria related proteins in different groups. <bold>(F)</bold> Cluster analysis of metabolism-related protein in different groups. <bold>(G,H)</bold> The differential expression proteins were verified by Western blot analysis.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g005.tif"/>
</fig>
<p>We also analyzed the expression of DEPs in different groups in the key pathways, i.e.,&#x20;ribosomal protein, apoptosis, mitochondria, and metabolism-related protein (<xref ref-type="fig" rid="F5">Figures 5C&#x2013;F</xref>). The results showed that DIP pretreatment reversed or restored their expression.</p>
</sec>
<sec id="s3-9">
<title>Verification of the Differentially Expressed Proteins by Western Blot Analysis</title>
<p>Based on the above analysis, two hub proteins (RPS5 and SFN), for their largest weight in biological pathways, were selected to be confirmed by Western blot analysis (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>). As shown in <xref ref-type="fig" rid="F5">Figures 5G,H</xref>, consistent with the proteomic results, they were down-regulated in the As/Ctrl group, while DIP pretreatment increased their levels in the DIP &#x2b; As/As&#x20;group.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Arsenic is one of the most important toxic elements in the natural environment (<xref ref-type="bibr" rid="B16">Dkhil et&#x20;al., 2020</xref>). So far, endemic arsenism is endangering millions of people worldwide. Arsenic toxicity affects almost all organs, of which the liver is one of the main target organs (<xref ref-type="bibr" rid="B33">Jomova et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B49">Samelo et&#x20;al., 2020</xref>). Arsenic toxicity can increase the level of ROS in hepatocytes and cause damage to the mitochondrial respiratory chain, destroy the homeostasis of glucose in the liver, and induce oxidative stress (<xref ref-type="bibr" rid="B47">Rezaei et&#x20;al., 2019</xref>), and result in apoptosis towards the cell caused by ROS (<xref ref-type="bibr" rid="B9">Chirumbolo and Bjorklund, 2017</xref>). As expected, here, arsenic exposure induced the apoptosis of L-02 cells. After arsenic treatment, the Bax was increased and Bcl-2 was down-regulated, thus facilitating cytochrome c release. Cytochrome c release increases caspase-3 activation, resulting with DNA fragmentation and chromatin concentration, and ultimately inducing apoptosis (<xref ref-type="bibr" rid="B8">Chimenti et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B34">Kalpage et&#x20;al., 2019</xref>). However, DIP inhibited the NaAsO<sub>2</sub>-induced apoptosis in L-02 cells. It antagonized up-regulated Bax expression and down-regulated Bcl-2 expression in L-02 cells exposed to NaAsO<sub>2</sub>. DIP may serve as a potential scavenger for products of oxidative stress (<xref ref-type="bibr" rid="B14">Deng et&#x20;al., 2012</xref>), thereby reducing ROS levels to ameliorate L-02 cell apoptosis caused by arsenic.</p>
<p>Interestingly, by proteomic analysis, 6 DEPs (CLU, MFF, POLDIP2, PPIF, SFN, and SLIRP) in As/Ctrl group were found to be associated with mitochondrial cytochrome c release, apoptotic mitochondrial changes, and mitochondrion morphogenesis, thereby contributing to sodium arsenite induced apoptosis of L-02 cells. In addition, the DEPs related to metabolic pathways were also identified in this group. The pathways mainly included glycolysis/gluconeogenesis, carbon metabolism, pyruvate metabolism, HIF-1 signaling pathway, and biosynthesis of amino acids. These pathways have been observed in a proteomics study of arsenic-induced liver fibrosis in rats (<xref ref-type="bibr" rid="B65">Wu et&#x20;al., 2018</xref>) or yeast (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). We found that most of the related proteins were down-regulated, including ALDOA, LDHA, PGK1, PKM, TPI1. This indicates that after NaAsO<sub>2</sub> treatment, the metabolism-related pathway of L-02 cells decreases. It is consistent with previous study that arsenic inhibits ATP production, particularly through glycolysis or pyruvate metabolism (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B59">Wang et&#x20;al., 2020b</xref>). ALDOA and PKM have been observed to be down-regulated in the above arsenic-treated yeast cells study (<xref ref-type="bibr" rid="B65">Wu et&#x20;al., 2018</xref>). Therefore, in the present study, the effect of arsenic tends to reduce the metabolism of L-02 cells. However, low-level arsenic exposure (75&#xa0;ppb) can induce aerobic glycolysis (Warburg effect), which is a common phenomenon in cultured human primary cells and cell lines (<xref ref-type="bibr" rid="B72">Zhao et&#x20;al., 2013</xref>). Taken together, these results suggest that when arsenic causes apoptosis, it may cause a decrease in cell metabolism, while at lower concentrations it may cause aerobic glycolysis.</p>
<p>Moreover, 14 DEPs in As/Ctrl group were found to be associated with apoptosis, suggesting that they participate in the process. According to Uniprot protein database (<ext-link ext-link-type="uri" xlink:href="https://www.uniprot.org/">https://www.uniprot.org/</ext-link>), in terms of the function of these proteins, they may play a key role in arsenic-induced L-02 apoptosis. For example, SIN3A is a transcriptional repressor; MFF plays a role in the division of mitochondria and peroxisomes; PPIF is involved in the regulation of mitochondrial permeability transition pore (mPTP); PPP1R10 is a scaffold protein, which plays a role in the control of chromatin structure and cell cycle progression. The expression of these 4 proteins increased in the As/Ctrl group, and they may be related to the apoptosis of L-02 cells induced by NaAsO<sub>2</sub>. On the other hand, the function of STAT5B was signal transduction and transcription activation; NIBAN2 plays a role in the inhibition of apoptosis. Their down-regulation in the As/Ctrl group may also contribute to NaAsO<sub>2</sub>-induced apoptosis. Interestingly, MFF (<xref ref-type="bibr" rid="B38">Li et&#x20;al., 2019</xref>), PPIF (<xref ref-type="bibr" rid="B18">Folda et&#x20;al., 2016</xref>), and STAT5B (<xref ref-type="bibr" rid="B64">Wetzler et&#x20;al., 2006</xref>) have been reported to be associated with arsenic-induced apoptosis.</p>
<p>Of note, 21 DEPs were identified as ribosomal proteins (RPs). Among them, the expression levels of 16 cytoplasmic RPs showed a downward trend. This is similar to two previous studies on the effect of arsenic on yeast cells (<xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>), a large number of ribosomal proteins (74 subunits showed a significant reduction) (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>) or genes (<xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>) showed a significant reduction after treatment with arsenic. RPs are essential components of the ribosome that comprise a family of RNA-binding proteins involved in modulating a wide variety of biological processes (<xref ref-type="bibr" rid="B31">Ji et&#x20;al., 2019</xref>). This reduction in ribosome abundance may reflect an adaptive response and is a mechanism that protects cells against its toxicity (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). On one hand, ribosome biogenesis is a major consumer of cellular energy and RNA polymerase II activity. The down-regulation of the ribosome itself may lead to energy reserves (<xref ref-type="bibr" rid="B19">Gasch et&#x20;al., 2000</xref>) and the expression of other genes as well (<xref ref-type="bibr" rid="B62">Warner, 1999</xref>), such as heat-shock proteins (HSPs) (<xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>). On the other hand, arsenic induces protein misfolding, by reducing the ribosome level, the production of newly synthesized misfolded proteins can be limited, thus allowing the protein degradation pathway to deal with existing misfolded proteins more effectively (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). Interestingly, mutants of the ribosome have been observed to be increased arsenic resistant of yeast cell (<xref ref-type="bibr" rid="B15">Dilda et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). Other heavy metals such as mercury, nickel (<xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>), and cadmium (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>), as well as multiple stress responses or environmental stress (<xref ref-type="bibr" rid="B19">Gasch et&#x20;al., 2000</xref>), can also affect and down-regulate RPs expression. Therefore, ribosome reduction is not specific to arsenic (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>) and may be a general feature of the environmental stress (<xref ref-type="bibr" rid="B19">Gasch et&#x20;al., 2000</xref>). In addition to cytoplasmic RPs, mitochondria contain ribosomes that synthesize their own proteins. In yeast cells treated with arsenic, most MPRs showed no change in protein abundance (<xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). However, in this study, five MRPs showed an increased expression trend in As/Ctrl&#x20;group.</p>
<p>Our results indicate that these changes in RPs may be related to the L-02 cell apoptosis induced by arsenic. In fact, apoptosis is particularly sensitive to nucleolar stress signals, and its primary result is the destruction of ribosome synthesis (Rubbi and Milner, 2003). In ribosomal replication disruption, the free ribosomal proteins interact with the p53 system, leading to cell cycle arrest or apoptosis (<xref ref-type="bibr" rid="B61">Warner and McIntosh, 2009</xref>). Increasing evidence shows that inhibiting the expression of RPs, such as knocking down many single RPs, will cause p53 accumulation, thereby leading to cell apoptosis (<xref ref-type="bibr" rid="B54">Uechi et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B12">Danilova et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B10">Daftuar et&#x20;al., 2013</xref>). Interestingly, arsenic has been shown to cause cell death <italic>via</italic> a p53-dependent mechanism (<xref ref-type="bibr" rid="B70">Yu et&#x20;al., 2008</xref>). Among these cytoplasmic RPs, 5 RPs have been reported to be associated with apoptosis, including RPL23 (<xref ref-type="bibr" rid="B11">Dai et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B32">Jin et&#x20;al., 2004</xref>), RPL34 (<xref ref-type="bibr" rid="B31">Ji et&#x20;al., 2019</xref>), Ll3a (<xref ref-type="bibr" rid="B6">Chen and Ioannou, 1999</xref>), L7 (<xref ref-type="bibr" rid="B6">Chen and Ioannou, 1999</xref>), and L35a (<xref ref-type="bibr" rid="B41">Lopez et&#x20;al., 2002</xref>). Inhibition of their expression, such as through siRNA-mediated silencing, leads to cell apoptosis or inhibits cell proliferation (<xref ref-type="bibr" rid="B6">Chen and Ioannou, 1999</xref>; <xref ref-type="bibr" rid="B41">Lopez et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B11">Dai et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B32">Jin et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B31">Ji et&#x20;al., 2019</xref>). RNAi-mediating silencing of RPS5 gene expression also resulted in the inability of MEL cells to differentiate (<xref ref-type="bibr" rid="B55">Vizirianakis et&#x20;al., 2015</xref>).</p>
<p>In the view of MRPs, their abnormal expression can cause mitochondrial metabolism disorder and cell dysfunction (<xref ref-type="bibr" rid="B29">Huang et&#x20;al., 2020</xref>). Some MRPs such as MRPS29 (DAP3), MRPL41, MRPS30, and MRPL64 have been identified to be associated with apoptosis by p53 pathway (<xref ref-type="bibr" rid="B67">Yoo et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B66">Yan et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B29">Huang et&#x20;al., 2020</xref>). In this study, three MRPs (i.e.,&#x20;DAP3, MRPL39, and MRPS28) showed an up-regulated trend in As/Ctrl group. They may be related to L02 cell apoptosis induced by NaAsO<sub>2</sub>. DAP3 (death-associated protein 3), also known as MRPS29; its high expression can promote apoptosis (<xref ref-type="bibr" rid="B43">Miyazaki et&#x20;al., 2004</xref>). Another protein MRPL39 was reported to serve as a tumor suppressor (<xref ref-type="bibr" rid="B68">Yu et&#x20;al., 2018</xref>). Likewise, the inhibition of MRPS28 is related to the treatment of glioblastoma with Benzyl isothiocyanate (BITC) (<xref ref-type="bibr" rid="B53">Tang et&#x20;al., 2016</xref>).</p>
<p>Indeed, the relationship between ribosomes and cell proliferation and apoptosis has been well reviewed (<xref ref-type="bibr" rid="B61">Warner and McIntosh, 2009</xref>; <xref ref-type="bibr" rid="B36">Kim et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B29">Huang et&#x20;al., 2020</xref>). However, most of the studies on the effects of arsenic on ribosomes involve yeast and tumor cells (<xref ref-type="bibr" rid="B6">Chen and Ioannou, 1999</xref>; <xref ref-type="bibr" rid="B19">Gasch et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B25">Haugen et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B27">Hosiner et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B36">Kim et&#x20;al., 2017</xref>). To the best of our knowledge, the present study is the first to report that arsenic induces a broadly decrease in cytoplasmic RPs, and an increase in mitochondrial RPs in liver cells, resulting in cell apoptosis. Our finding supports this opinion that a number of RPs have secondary roles regardless of their presence in protein biosynthesis, regulation of cell proliferation, or in some cases acting as inducers of cell death (<xref ref-type="bibr" rid="B6">Chen and Ioannou, 1999</xref>). Interestingly, the expression of these RPs was reversed in the DIP &#x2b; As/Ctrl group, suggesting that they may be responsible for DIP attenuating arsenic-induced apoptosis of L-02&#x20;cells.</p>
<p>Furthermore, we noted that several proteins may play important roles in arsenic-induced apoptosis and/or DIP resistance to arsenic-induced apoptosis, including ALPI, ALPL CDC42, EIF5A, HSPE1, and SFN. Arsenic sensitivity to enhanced alkaline phosphatase (ALP) activity has been reported (<xref ref-type="bibr" rid="B26">Herrera et&#x20;al., 2013</xref>), where alkaline phosphatase ALPI and ALPL have been shown to be up-regulated in treated cells, whereas DIP pretreatment has reversed its expression. CDC42 is a small GTPase of Rho family, involved in regulation of various functions including <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/QuickGO/term/GO:0030307">positive regulation of cell growth</ext-link>. Here, it was up-regulated in DIP &#x2b; As/Ctrl group and may be linked to the intervention of DIP on arsenic-induced apoptosis. Two translation initiation factors, eIF2E and eIF4E, have been reported to be related to arsenic-induced cytotoxicity and cell death (<xref ref-type="bibr" rid="B45">Othumpangat et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B22">Guerra-Moreno et&#x20;al., 2015</xref>). Here, down-regulation of EIF5A in As/Ctrl may contribute to the NaAsO<sub>2</sub>-induced L-02 cell apoptosis. Arsenic can also cause protein misfolding and induce an increase in HSP protein expression (<xref ref-type="bibr" rid="B52">Tam and Wang, 2020</xref>). In this study, the expression of heat shock protein HSPE1 increased in As/Ctrl group. It may participate in endoplasmic reticulum stress and unfolded protein response, and remove misfolded proteins induced by arsenic. SFN (14-3-3 protein Sigma) is one of the isoforms of the 14-3-3 family. This family of proteins regulates a variety of cell functions (<xref ref-type="bibr" rid="B37">Lee et&#x20;al., 2014</xref>). Overexpression of SFN in multiple myeloma cells attenuated arsenic trioxide-induced cell death (<xref ref-type="bibr" rid="B20">Ge et&#x20;al., 2009</xref>). In this study, it was down-regulated in the As/Ctrl group and up-regulated in the DIP &#x2b; As/Ctrl group, suggesting that it may be involved in NaAsO<sub>2</sub>-induced apoptosis and DIP attenuated apoptosis.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In this study, apoptosis can be induced in human normal liver cells L-02 cells using NaAsO<sub>2</sub>. When hepatic cells were pretreated, the apoptosis was reduced. DIP inhibits cell apoptosis and was associated with an increase in Bcl-2 anti-apoptotic protein and a decrease in Bax pro-apoptotic protein. This may be due to the DIP antioxidant. Proteomic analysis showed that metabolism, apoptosis, and mitochondria-related proteins were associated with arsenic induced apoptosis of L-02 cells. Arsenic concentration induced apoptosis inhibited aerobic glycolysis of L-02 cells. DIP pretreatment reversed or restored the expression of these proteins, suggesting that they were linked to the prevention of DIP apoptosis. Importantly, this is the first study to observe that extensive variations in RPs were associated with arsenic-induced apoptosis in normal human cells. Cytoplasmic ribosomes were down-regulated and mitochondrial ribosomes were up-regulated. The expression of these proteins was reversed by DIP pretreatment. This is also the first study to relate the influence of DIP on apoptosis and its ability to control RP expression. The pathways by which arsenic induces L-02 cell apoptosis and DIP attenuate arsenic-induced apoptosis are summarized in <xref ref-type="fig" rid="F6">Figure&#x20;6</xref>. Moreover, there are limitations in this study. It was carried out on a single cell line and needs to be further verified in more cell lines or biological tissues. The mechanism of arsenic-induced apoptosis and DIP&#x2019;s inhibition of apoptosis disclosed in this study need to be further clarified. We will also explore the quantity (minimum inhibitory concentration) required for DIP to have a protective effect compared to other biological products.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Potential mechanism that sodium arsenite-induced L-02 cell apoptosis and DIP attenuates sodium arsenite-induced apoptosis.: &#x2191;up-regulation.: &#x2193;down-regulation. Red is related to As<sup>3&#x2b;</sup>, green is related to DIP.</p>
</caption>
<graphic xlink:href="fphar-12-749035-g006.tif"/>
</fig>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This research was supported by the National Natural Science Foundation of China (approval numbers: 81660835, 81860560), the Foundation of Guizhou Educational Committee (No. KY (2021) 008), the National Natural Science Foundation of China (U1812403-6-2-4), and Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions (2021SHIBS0003).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We are grateful to the instrument analysis center of Shenzhen University and the following research institutions for their platform support for this research: Guizhou Medical University School of Public Health; Guizhou Medical University Environmental Pollution Monitoring and Control Ministry of Education Key Laboratory; State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Medical University; Guizhou Provincial Food Nutrition and Health Engineering Research Center.</p>
</ack>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2021.749035/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2021.749035/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material>
<label>Supplementary Figure S1</label>
<caption>
<p>Specific cluster of ClueGO analysis for the As/Ctrl&#x20;group.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>Supplementary Figure S2</label>
<caption>
<p>Specific cluster of ClueGO analysis for DIP&#x2b;As/As&#x20;group.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>Supplementary Figure S3</label>
<caption>
<p>Bioinformatics analysis of the reversed proteins between As/Ctrl, and DIP&#x2b;As/As group. <bold>(A)</bold> Cluster analysis of the reversed proteins by using Cluster 3.0. <bold>(B)</bold> The GO annotations of the reversed proteins. <bold>(C)</bold> The KEGG pathways associated with the reversed proteins. <bold>(D)</bold> PPI network analysis of the reversed proteins.</p>
</caption>
</supplementary-material>
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