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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mol. Neurosci.</journal-id>
<journal-title>Frontiers in Molecular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mol. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5099</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnmol.2022.1079338</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Molecular Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Knockdown of ATF3 suppresses the progression of ischemic stroke through inhibiting ferroptosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Ye</surname><given-names>Jin</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Fan</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Bin</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/933113/overview"/>
</contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Qing</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zeng</surname><given-names>Guoyong</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2068139/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>The Office of Stroke Screening and Prevention, Ganzhou People's Hospital</institution>, <addr-line>Ganzhou, Jiangxi</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurology, Ganzhou People's Hospital</institution>, <addr-line>Ganzhou, Jiangxi</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by">
<p>Edited by: Masahito Kawamura, Jikei University School of Medicine, Japan</p>
</fn>
<fn id="fn0003" fn-type="edited-by">
<p>Reviewed by: Eun Hee Ahn, Hallym University, Republic of Korea; Musadiq A. Bhat, University of Zurich, Switzerland</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Guoyong Zeng, <email>hsyygy@163.com</email></corresp>
<fn id="fn0001">
<p><sup>&#x2020;</sup>These authors share first authorship</p>
</fn>
<fn id="fn0004" fn-type="other">
<p>This article was submitted to Molecular Signaling and Pathways, a section of the journal Frontiers in Molecular Neuroscience</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>15</volume>
<elocation-id>1079338</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Ye, Zhang, Li, Liu and Zeng.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ye, Zhang, Li, Liu and Zeng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Current therapies towards ischemic stroke (IS) are still not satisfied, and alternative strategies targeting ferroptosis may be another choice. The purpose of this study is to screen potential ferroptosis-related genes involving in IS.</p>
</sec>
<sec>
<title>Methods</title>
<p>A rat model of IS was established <italic>via</italic> middle cerebral artery occlusion. Differentially expressed genes (DEGs) were screened from the model rats through transcriptional sequencing. Among the isolated DEGs, the expression of several attractive DEGs relating with ischemic injury was confirmed by qRT-PCR. Then, ATF3 relating with both IS and ferroptosis was selected a candidate gene for functional assays. After knockdown of ATF3 in the model rats, the infarction, histopathology, apoptosis, and ferroptosis in brain tissues were evaluated.</p>
</sec>
<sec>
<title>Results</title>
<p>IS model was successfully established in rats, exhibiting the emergence of infarction area, histopathological injury, and enhanced cell apoptosis. Total 699 up-regulated DEGs and 461 down-regulated DEGs were screened from the model rats. qRT-PCR verified the up-regulation of Hspa1b, Tfpi2, Ptx3, and Atf3, and the down-regulation of Smyd1 and Tacr2 in the Model group compared with those in the Sham group. It is noteworthy that knockdown of ATF3 decreased the infarction area, relieved histopathological injury, weakened apoptosis, and inhibited ferroptosis in the model rats.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Several candidate genes in relation with IS were revealed. More importantly, knockdown of ATF3 may relieve IS through inhibiting ferroptosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ischemic stroke</kwd>
<kwd>ferroptosis</kwd>
<kwd>ATF3</kwd>
<kwd>differentially expressed genes</kwd>
<kwd>neurology</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="12"/>
<word-count count="5883"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>Ischemic stroke (IS) is an acute cerebrovascular disease results from a sudden blockage of blood supply in the brain (<xref ref-type="bibr" rid="ref7">Khoshnam et al., 2017</xref>). Because IS can directly induce neurological damage, it remains the leading cause of human disability and mortality in the world (<xref ref-type="bibr" rid="ref27">Uzdensky, 2019</xref>). Until now, the development of pharmacological and mechanical thrombolysis has made certain progress in helping patients recover from IS (<xref ref-type="bibr" rid="ref22">Paul and Candelario-Jalil, 2021</xref>). However, neuroprotective intervention is still needed because blood flow recanalization is usually accompanied with ischemia/reperfusion injury (<xref ref-type="bibr" rid="ref26">Tuo et al., 2022</xref>). Therefore, more effective therapeutic strategies in ameliorating the impaired brain function in patients with IS are urgently needed.</p>
<p>The pathogenesis of IS is closely associated with a complex and interconnected cascade of cellular and molecular events, mainly including excitotoxicity, energy metabolism disorder, calcium overload, oxidative stress, neuroinflammation, autophagy, and apoptosis (<xref ref-type="bibr" rid="ref2">Candelario-Jalil, 2009</xref>; <xref ref-type="bibr" rid="ref37">Zhao et al., 2017</xref>). It is noteworthy that ferroptosis also plays a key role in IS. Ferroptosis is an iron-dependent form of programmed cell death characterized by the accumulation of lipid peroxides (<xref ref-type="bibr" rid="ref20">Pan et al., 2021</xref>). Evidence has determined that stroke can trigger ferroptosis through inducing iron overload and lipid metabolism (<xref ref-type="bibr" rid="ref32">Xu et al., 2022</xref>). Correspondingly, inhibition of ferroptosis is a promising target to relieve the neurological damage of IS (<xref ref-type="bibr" rid="ref14">Liu et al., 2020</xref>). In recent years, many molecular targets show therapeutic potential against IS through regulating ferroptosis, such as ACSL4 (<xref ref-type="bibr" rid="ref4">Cui et al., 2021</xref>), NCOA4 (<xref ref-type="bibr" rid="ref10">Li et al., 2021</xref>), miRNA-24a (<xref ref-type="bibr" rid="ref36">Zhang et al., 2022</xref>), SATB1 (<xref ref-type="bibr" rid="ref35">Zhan et al., 2022</xref>), cPKC&#x03B3; (<xref ref-type="bibr" rid="ref30">Wei et al., 2022</xref>), etc. However, there are still massive potential targets that need to be explored.</p>
<p>Based on sequencing profiles, bioinformatics analysis has been widely applied to screen potential molecular targets for IS (<xref ref-type="bibr" rid="ref34">Zhai et al., 2017</xref>; <xref ref-type="bibr" rid="ref39">Zhou et al., 2019</xref>; <xref ref-type="bibr" rid="ref31">Xie et al., 2020</xref>; <xref ref-type="bibr" rid="ref3">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="ref15">Liu C. et al., 2022</xref>). <xref ref-type="bibr" rid="ref3">Chen et al. (2021)</xref> have determined that MAP1LC3B, PTGS2, and TLR4 are ferroptosis-related biomarkers for IS. <xref ref-type="bibr" rid="ref15">Liu C. et al. (2022)</xref> have revealed four ferroptosis-related therapeutic targets for IS, including HMOX1, CYBB, STAT3, and TLR4. In order to reveal more effective targets for IS, a transcriptional sequencing was also performed in this study. Among diverse differentially expressed genes (DEGs), ATF3 was selected a candidate gene due to two reasons. First, the up-regulation of ATF3 is also identified in peripheral blood mononuclear cells of IS patients (<xref ref-type="bibr" rid="ref34">Zhai et al., 2017</xref>; <xref ref-type="bibr" rid="ref9">Li S. et al., 2022</xref>). However, the detail function of ATF3 on IS is rarely reported. Second, ATF3 acts an important regulator in ferroptosis. For examples, ATF3 sensitizes gastric cancer cells to cisplatin through inducing ferroptosis (<xref ref-type="bibr" rid="ref5">Fu et al., 2021</xref>); ATF3 promotes brucine-triggered ferroptosis in glioma cells through increasing H<sub>2</sub>O<sub>2</sub> and iron (<xref ref-type="bibr" rid="ref18">Lu et al., 2021</xref>). Therefore, we suspect that whether ATF3 is involved in the progression of IS <italic>via</italic> regulating ferroptosis.</p>
<p>In this study, a rat model of IS was established and then used to reveal the DEGs <italic>via</italic> transcriptional sequencing. Some important DEGs involving ischemic injury were identified, among which ATF3 was selected for functional assay due to its important role in ferroptosis. Our results may provide new insights into the underlying molecular mechanisms of IS and reveal potential therapeutic targets.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec7">
<title>Establishment of is model in rats</title>
<p>Animal experiments were approved by the Local Ethical Committee in accordance with the Guide for the Care and Use of Laboratory Animals. Wild-type male Sprague&#x2013;Dawley rats (180&#x2013;200&#x2009;g weight) were provided by SiPeiFu Biotechnology (Beijing, China) and housed in pathogen-free condition. Middle cerebral artery occlusion (MCAO) was used to induce IS as previously described (<xref ref-type="bibr" rid="ref28">Wang P. et al., 2021</xref>). Briefly, rats were anesthetized by intraperitoneal injection of pentobarbital sodium (40&#x2009;mg/kg) and then fixed in a supine position to expose the neck area. An incision was made along the median neck to separate the common carotid artery (CCA), internal carotid artery, and external carotid artery (ECA) from adjacent tissues and vagus nerve. After the distal ECA was tied off and opened by arteriotomy, a nylon monofilament was inserted and advanced upwards about 1&#x2009;cm past the CCA bifurcation. After 90&#x2009;min of occlusion, the suture was removed for reperfusion (<italic>N</italic>&#x2009;=&#x2009;6, Model group). During the surgery, all rats were maintained at 37&#x00B0;C to avoid death. Similar surgery without occlusion was performed in the Sham group (<italic>N</italic>&#x2009;=&#x2009;6).</p>
</sec>
<sec id="sec8">
<title>Adenovirus interventions</title>
<p>Recombinant adenoviruses carrying shRNA-ATF3 (ad-shATF3-1 and&#x2009;-&#x2009;2) and corresponding negative control (ad-shNC) were synthesized in RiboBio (Guangzhou, China). Rats were randomized to model, ad-shATF3-1, ad-shATF3-2, and ad-shNC groups (<italic>N</italic>&#x2009;=&#x2009;6 each group). The recombinant adenoviruses (2&#x2009;&#x00D7;&#x2009;10<sup>12</sup> vg) were intraparenchymal injected into rats at 1 week before MCAO. Subsequently, the MCASO or sham surgery was performed as mentioned above. After the reperfusion for 24&#x2009;h, rats were finally sacrificed by intraperitoneal injection of an overdose of pentobarbital sodium (150&#x2009;mg/kg), and the brain tissues were collected.</p>
</sec>
<sec id="sec9">
<title>TTC staining</title>
<p>The brain tissues were frozen at &#x2212;20&#x00B0;C for 30&#x2009;min and then sliced into 2&#x2009;mm coronal sections. Subsequently, the sections were incubated with 2% TTC solutions (Solarbio, China) for 15&#x2009;min at 37&#x00B0;C in the dark. After fixed in 4% paraformaldehyde for 24&#x2009;h, the brain samples were observed under a stereomicroscope (Olympus, Japan). The unstained white area presented the infarcted tissues, and stained red area presented non-infarcted tissues.</p>
</sec>
<sec id="sec10">
<title>HE staining</title>
<p>For HE staining, the brain tissues were fixed in 4% paraformaldehyde, dehydrated in graded ethanol, paraffin-embedded, and sliced into 5&#x2009;&#x03BC;M sections. The sections were then dewaxed in xylene, rehydrated in graded ethanol, and stained with Hematoxylin for 5&#x2009;min and with Eosin for 2&#x2009;min. After dehydration and vitrification, the stained sections were observed under an inverted microscope (Olympus).</p>
</sec>
<sec id="sec11">
<title>IHC staining</title>
<p>For IHC staining, the paraffin-embedded sections were prepared as mentioned above. After dewaxing and dehydration, the sections received 10&#x2009;min of microwave irradiation in 10&#x2009;mM citrate buffer for antigen retrieval. The sections were then blocked with goat serum in PBS, incubated with anti-caspase-3 (1:1000, Cell Signaling Technology, Danvers, MA, United States) overnight at 4&#x00B0;C, and continuous incubated with horseradish peroxidase-conjugated secondary antibody (1:3000, Cell Signaling Technology) for 1&#x2009;h at 37&#x00B0;C. Subsequently, the sections were stained with diaminobenzidine for 10&#x2009;min and counterstained with hematoxylin for 1&#x2009;min. Followed by dehydration and vitrification, the stained sections were observed under an inverted microscope (Olympus).</p>
</sec>
<sec id="sec12">
<title>TUNEL assay</title>
<p>The TUNEL assay was carried out using a TUNEL Apoptosis Assay kit (Beyotime, Beijing, China). Briefly, the deparaffined/rehydrated tissue sections were incubated with DNase-free Proteinase K for 20&#x2009;min, and then with TUNEL solution for 1&#x2009;h in the dark. After counterstained with DAPI for 10&#x2009;min, the apoptotic cells were observed and counted under a fluorescence microscope (Olympus).</p>
</sec>
<sec id="sec13">
<title>Transcriptome sequencing analysis</title>
<p>Brain tissue samples from the Sham and Model groups were used for transcriptome sequencing. Briefly, total RNAs isolated from the samples were qualified by Agilent 2,100 Bioanalyzer. mRNAs were purified from total RNAs <italic>via</italic> polyA-selection, and randomly fragmented into 200&#x2013;300&#x2009;bp using metal ion-catalyzed hydrolysis. Subsequently, cDNA library (about 450&#x2009;bp) was constructed and sequenced on Illumina Novaseq 6,000 platform. DEGs (|log2FoldChange|&#x2009;&#x003E;&#x2009;1 and <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) were clustered by Pheatmap, and functional enriched by Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.</p>
</sec>
<sec id="sec14">
<title>Quantitative real-time PCR</title>
<p>Total RNA was extracted from the brain tissues using TRIzol reagent (Beyotime). cDNA was reverse transcribed from total RNA using FastKing RT Kit (TIANGEN, Beijing, China). Quantitative real-time PCR (qRT-PCR) was performed using SYBR Green PCR Master Mix (Bio-Rad, Hercules, CA, United States) on a LightCycler&#x00AE; 480 System (Roche, Basel, Switzerland) with standard procedures. Relative expression level was calculated following the 2<sup>&#x2212;&#x0394;&#x0394;Ct</sup> method using GAPDH as the internal control. The primer sequences were shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
</sec>
<sec id="sec15">
<title>Western blot</title>
<p>Protein samples were extracted from the brain tissues by lysing in RIPA buffer (Beyotime). The isolated proteins were separated by 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to polyvinylidenefluoride membranes. The membranes were then blocked with 5% non-fat milk for 1&#x2009;h, and incubated with primary antibody (anti-ATF-3, -GPX4, -COX2, and -GAPDH; 1:1000, Cell Signaling Technology) for 12&#x2009;h at 4&#x00B0;C. After incubated with horseradish peroxidase-conjugated secondary antibody (anti-rabbit IgG, 1:3000, Cell Signaling Technology) for 1&#x2009;h at 37&#x00B0;C, the protein blots were visualized using Electrochemiluminescence Kit (Beyotime) and analyzed by a Gel Imaging System (Tanon 5,200, Shanghai, China) with ImageJ software.</p>
</sec>
<sec id="sec16">
<title>Iron measurement</title>
<p>The iron content in brain tissues was measured using Iron Assay Kit (Sigma, St. Louis, MO, United States) in accordance with the manufacturer&#x2019;s instructions. Simply, the tissue samples were homogenized on ice and centrifuged at 13,000&#x2009;g for 10&#x2009;min. Subsequently, the supernatants were incubated with iron detection buffer for 30&#x2009;min at 25&#x00B0;C. The optical density at 593&#x2009;nm was measured using a microplate reader. The iron content was finally calculated according to the standard curves.</p>
</sec>
<sec id="sec17">
<title>Measurements of glutathione and malondialdehyde</title>
<p>The GSH and MDA in brain tissues were measured using GSH assay kit (Solarbio) and MDA assay kit (Solarbio), respectively. Tissue homogenates were used for measurements strictly in accordance with the manufacturer&#x2019;s instructions. The contents of GSH and MDA were finally calculated according to the standard curves.</p>
</sec>
<sec id="sec18">
<title>Statistical analysis</title>
<p>Data were expressed as mean&#x2009;&#x00B1;&#x2009;standard deviation (SD), and statistical analyzed by GraphPad Prism 8.0 (GraphPad, San Diego, CA, United States). Student&#x2019;s <italic>t</italic>-test was used for the comparisons between two groups. One-way ANOVA followed by Tukey&#x2019;s post-hoc test was used for the comparisons among multiple groups. A <italic>p</italic> value less than 0.05 presented statistically significant.</p>
</sec>
</sec>
<sec id="sec19" sec-type="results">
<title>Results</title>
<sec id="sec20">
<title>Characterization of brain tissues in is rats</title>
<p>A rat model of IS was established by MCAO. TTC staining was performed to determine the infarcted area in brain tissues, which could react with active dehydrogenases in normal tissues (red), but not with inactive dehydrogenases in infarcted tissues (white). Consistent with the expectation, the Model group showed an obvious white straining compared with the Sham group (<xref rid="fig1" ref-type="fig">Figure 1A</xref>). HE staining revealed interstitial edema, inflammatory cell infiltration, and disordered cell shape in the Model group in contrast to the Sham group (<xref rid="fig1" ref-type="fig">Figure 1B</xref>). In addition, more cells positive to caspase-3 were observed by IHC staining in the Model group than that in the Sham group, reflecting the elevated cell apoptosis in the model rats (<xref rid="fig1" ref-type="fig">Figure 1C</xref>). The enhanced apoptosis was further determined by TUNEL staining in the Model group when compared with the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig1" ref-type="fig">Figure 1D</xref>). All the results above proved the successful establishment of IS model in rats.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Characterization of a rat model of IS (<italic>N</italic>&#x2009;=&#x2009;6 each group). <bold>(A)</bold> TTC staining. <bold>(B)</bold> HE staining. <bold>(C)</bold> IHC staining for caspase-3. <bold>(D)</bold> TUNEL staining. <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Sham.</p>
</caption>
<graphic xlink:href="fnmol-15-1079338-g001.tif"/>
</fig>
</sec>
<sec id="sec21">
<title>Transcriptional analysis of brain tissues in is rats</title>
<p>Following the characterization of the rat model of IS, we focused on the DEGs at the transcriptional level. Total 1,160 DEGs were identified by transcriptome sequencing between the Model and Sham groups, including 699 up-regulated DEGs and 461 down-regulated DEGs (<xref rid="fig2" ref-type="fig">Figures 2A</xref>,<xref rid="fig2" ref-type="fig">B</xref>). The top 30 up-regulated genes and top 10 down-regulated genes were shown in <xref rid="tab1" ref-type="table">Table 1</xref>. Subsequently, the isolated DEGs were enriched by GO and KEGG analyses. GO functional analysis showed that the DEGs were mainly enriched in system development, regulation of multicellular organismal process, positive regulation of biological process, and anatomical structure development, etc (<xref rid="fig2" ref-type="fig">Figures 2C</xref>,<xref rid="fig2" ref-type="fig">D</xref>). KEGG pathway analysis revealed the enrichment of DEGs in cytokine-cytokine receptor interaction, neuroactive ligand-receptor interaction, transcriptional misregulation in cancer, MAPK signaling pathway, etc (<xref rid="fig2" ref-type="fig">Figures 2E</xref>,<xref rid="fig2" ref-type="fig">F</xref>). These results above indicated that IS is related with the expression changes of multiple functional genes involving in a variety of biological processes.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Transcriptional analysis of DEGs in brain tissues from IS rats (<italic>N</italic>&#x2009;=&#x2009;6 each group). <bold>(A,B)</bold> Volcano plot and heatmap of DEGs between the Model (MCA01-MCA03) and the Sham groups (C1-C3). The genes with |log2FoldChange|&#x2009;&#x003E;&#x2009;1 and <italic>p</italic> value &#x003C;0.05 defined as DEGs. <bold>(C,D)</bold> GO enrichment analysis of the DEGs. Column chart, top 10 GO terms with minimum <italic>p</italic> value in each of MF, BP, and CC were shown. MF, molecular function; BP, biological process; CC, cellular component; Bubble chart, top 20 GO terms with minimal FDR value were shown. <bold>(E,F)</bold> KEGG pathway analysis of the DEGs. Column chart, top 10 KEGG pathways with minimum <italic>p</italic> value in each category were shown. Bubble chart, top 20 KEGG pathways with minimal FDR value were shown.</p>
</caption>
<graphic xlink:href="fnmol-15-1079338-g002.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Top 30 up-regulated DEGs and 10 down-regulated DEGs in the model rats.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Genes</th>
<th align="left" valign="top">Description</th>
<th align="center" valign="top">log2FC</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top"><italic>p</italic>-adjacent</th>
<th align="left" valign="top">Up/down</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Ccl20</td>
<td align="left" valign="top">Adrenergic receptor, beta 3</td>
<td align="left" valign="top">10.808</td>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">0.205</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Cxcl2</td>
<td align="left" valign="top">X-linked lymphocyte-regulated 3B</td>
<td align="left" valign="top">8.268</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.133</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Ccl2</td>
<td align="left" valign="top">MAS-related GPR, member B2</td>
<td align="left" valign="top">8.127</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Ccl7</td>
<td align="left" valign="top">RIKEN cDNA 1700001O22 gene</td>
<td align="left" valign="top">8.113</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">LOC108348108</td>
<td align="left" valign="top">Solute carrier family 7</td>
<td align="left" valign="top">7.881</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.011</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Hspa1b</td>
<td align="left" valign="top">Transmembrane protein 139</td>
<td align="left" valign="top">7.724</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.041</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Serpine1</td>
<td align="left" valign="top">Serine (or cysteine) peptidase inhibitor, clade C (antithrombin), member 1</td>
<td align="left" valign="top">7.216</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">0.060</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Il11</td>
<td align="left" valign="top">Monooxygenase, DBH-like 1</td>
<td align="left" valign="top">6.902</td>
<td align="left" valign="top">0.014</td>
<td align="left" valign="top">0.290</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Lif</td>
<td align="left" valign="top">Adipogenin</td>
<td align="left" valign="top">6.816</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.044</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">MGC105649</td>
<td align="left" valign="top">Hypothetical LOC302884</td>
<td align="left" valign="top">6.660</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">0.091</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">LOC299282</td>
<td align="left" valign="top">Complement factor D (adipsin)</td>
<td align="left" valign="top">6.499</td>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">0.238</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Cxcl1</td>
<td align="left" valign="top">Multiple EGF-like-domains 6</td>
<td align="left" valign="top">6.478</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.138</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Ccl4</td>
<td align="left" valign="top">C1q and tumor necrosis factor related protein 3</td>
<td align="left" valign="top">6.463</td>
<td align="left" valign="top">0.002</td>
<td align="left" valign="top">0.096</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Ccl3</td>
<td align="left" valign="top">Lectin, galactose binding, soluble 12</td>
<td align="left" valign="top">6.237</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.133</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Mcemp1</td>
<td align="left" valign="top">Cell death-inducing DFFA-like effector c</td>
<td align="left" valign="top">6.111</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.136</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Neurl3</td>
<td align="left" valign="top">Neuralized E3 ubiquitin protein ligase 3</td>
<td align="left" valign="top">6.093</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.143</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Dsg3</td>
<td align="left" valign="top">Desmoglein 3</td>
<td align="left" valign="top">5.723</td>
<td align="left" valign="top">0.007</td>
<td align="left" valign="top">0.195</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Scimp</td>
<td align="left" valign="top">SLP adaptor and CSK interacting membrane protein</td>
<td align="left" valign="top">5.637</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.141</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Tfpi2</td>
<td align="left" valign="top">Tissue factor pathway inhibitor 2</td>
<td align="left" valign="top">5.568</td>
<td align="left" valign="top">0.018</td>
<td align="left" valign="top">0.323</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Runx3</td>
<td align="left" valign="top">RUNX family transcription factor 3</td>
<td align="left" valign="top">5.566</td>
<td align="left" valign="top">0.002</td>
<td align="left" valign="top">0.108</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Ptx3</td>
<td align="left" valign="top">Pentraxin 3</td>
<td align="left" valign="top">5.480</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Il6</td>
<td align="left" valign="top">Interleukin 6</td>
<td align="left" valign="top">5.399</td>
<td align="left" valign="top">0.028</td>
<td align="left" valign="top">0.391</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Timp1</td>
<td align="left" valign="top">TIMP metallopeptidase inhibitor 1</td>
<td align="left" valign="top">5.349</td>
<td align="left" valign="top">0.005</td>
<td align="left" valign="top">0.168</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Exo1</td>
<td align="left" valign="top">Exonuclease 1</td>
<td align="left" valign="top">5.314</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.129</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Gsdma</td>
<td align="left" valign="top">Gasdermin A</td>
<td align="left" valign="top">5.252</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">0.154</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Il1rn</td>
<td align="left" valign="top">Interleukin 1 receptor antagonist</td>
<td align="left" valign="top">5.069</td>
<td align="left" valign="top">0.004</td>
<td align="left" valign="top">0.163</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">AABR07060872.1</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">5.023</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.015</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Atf3</td>
<td align="left" valign="top">Activating transcription factor 3</td>
<td align="left" valign="top">4.973</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">0.078</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">FAM187A</td>
<td align="left" valign="top">Family with sequence similarity 187, member A</td>
<td align="left" valign="top">4.851</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Pi15</td>
<td align="left" valign="top">Peptidase inhibitor 15</td>
<td align="left" valign="top">4.838</td>
<td align="left" valign="top">0.013</td>
<td align="left" valign="top">0.280</td>
<td align="left" valign="top">Up</td>
</tr>
<tr>
<td align="left" valign="top">Lhx8</td>
<td align="left" valign="top">LIM homeobox 8</td>
<td align="left" valign="top">&#x2212;6.100</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.130</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Scn10a</td>
<td align="left" valign="top">Sodium voltage-gated channel alpha subunit 10</td>
<td align="left" valign="top">&#x2212;5.240</td>
<td align="left" valign="top">0.015</td>
<td align="left" valign="top">0.295</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Ano2</td>
<td align="left" valign="top">Anoctamin 2</td>
<td align="left" valign="top">&#x2212;5.172</td>
<td align="left" valign="top">0.001</td>
<td align="left" valign="top">0.077</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Brs3</td>
<td align="left" valign="top">Bombesin receptor subtype 3</td>
<td align="left" valign="top">&#x2212;5.000</td>
<td align="left" valign="top">0.003</td>
<td align="left" valign="top">0.130</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Prlr</td>
<td align="left" valign="top">Prolactin receptor</td>
<td align="left" valign="top">&#x2212;4.440</td>
<td align="left" valign="top">0.019</td>
<td align="left" valign="top">0.326</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Mrgprx3</td>
<td align="left" valign="top">MAS related GPR family member X3</td>
<td align="left" valign="top">&#x2212;4.106</td>
<td align="left" valign="top">0.012</td>
<td align="left" valign="top">0.263</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">AABR07031445.1</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top">&#x2212;4.008</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">0.000</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Tdrd9</td>
<td align="left" valign="top">Tudor domain containing 9</td>
<td align="left" valign="top">&#x2212;3.832</td>
<td align="left" valign="top">0.026</td>
<td align="left" valign="top">0.380</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Smim35</td>
<td align="left" valign="top">Small integral membrane protein 35</td>
<td align="left" valign="top">&#x2212;3.605</td>
<td align="left" valign="top">0.002</td>
<td align="left" valign="top">0.096</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Smyd1</td>
<td align="left" valign="top">SET and MYND domain containing 1</td>
<td align="left" valign="top">&#x2212;3.476</td>
<td align="left" valign="top">0.009</td>
<td align="left" valign="top">0.240</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Igbp1b</td>
<td align="left" valign="top">Immunoglobulin (CD79A) binding protein 1b</td>
<td align="left" valign="top">&#x2212;3.335</td>
<td align="left" valign="top">0.002</td>
<td align="left" valign="top">0.108</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Tacr2</td>
<td align="left" valign="top">Tachykinin receptor 2</td>
<td align="left" valign="top">&#x2212;3.300</td>
<td align="left" valign="top">0.020</td>
<td align="left" valign="top">0.332</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Krt77</td>
<td align="left" valign="top">Keratin 77</td>
<td align="center" valign="top">&#x2212;3.186</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.001</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Serpind1</td>
<td align="left" valign="top">Serpin family D member 1</td>
<td align="center" valign="top">&#x2212;3.099</td>
<td align="center" valign="top">0.044</td>
<td align="center" valign="top">0.480</td>
<td align="left" valign="top">Down</td>
</tr>
<tr>
<td align="left" valign="top">Slc22a6</td>
<td align="left" valign="top">Solute carrier family 22 member 6</td>
<td align="center" valign="top">&#x2212;3.063</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="top">0.303</td>
<td align="left" valign="top">Down</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec22">
<title>Validation of some ischemic injury-related differentially expressed genes</title>
<p>Several DEGs relating with ischemic injury were selected from <xref rid="tab1" ref-type="table">Table 1</xref> for validation. qRT-PCR showed that the mRNA expression of Hspa1b, Tfpi2, Ptx3, Atf3 were significantly higher in the Model group compared with those in the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref rid="fig3" ref-type="fig">Figure 3A</xref>). On the contrary, the mRNA expression of Smyd1 and Tacr2 were significantly lower in the Model group than those in the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref rid="fig3" ref-type="fig">Figure 3B</xref>). These results of qRT-PCR were just consistent with those of transcriptome sequencing, and indicated these DEGs might be candidates for further studies on IS.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A,B)</bold> Verification of 6 selected DEGs relating with ischemic injury by qRT-PCR (<italic>N</italic>&#x2009;=&#x2009;6 each group). <sup>&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Sham.</p>
</caption>
<graphic xlink:href="fnmol-15-1079338-g003.tif"/>
</fig>
</sec>
<sec id="sec23">
<title>Knockdown of ATF3 suppresses the pathological injury of brain tissues in is rats</title>
<p>Among the validated DEGs, only ATF was related with both IS and ferroptosis as previously described. Therefore, we focused on ATF3 for functional studies. Western blot further identified a significantly higher protein expression of ATF3 in the Model group than that in the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig4" ref-type="fig">Figure 4A</xref>). Subsequently, ATF3 was knocked down in the model rats <italic>via</italic> injection of Ad-shATF3-1/2. As expected, the mRNA expression of ATF3 was significantly decreased by the injection of Ad-shATF3-1 and&#x2009;&#x2212;&#x2009;2 in the model rats (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig4" ref-type="fig">Figure 4B</xref>). Interestingly, the infarcted area (white) in the model rats was obviously reduced by the injection of Ad-shATF3 (Ad-shATF3-1 was used in following assays), but not by the infection of Ad-shNC (<xref rid="fig4" ref-type="fig">Figure 4C</xref>). Besides, the interstitial edema, inflammatory cell infiltration, and disordered cell shape were recovered in the Ad-shATF3 group, closing to histomorphology in the Sham group (<xref rid="fig4" ref-type="fig">Figure 4D</xref>). Caspase-3 positive cells were also significantly reduced in the Ad-shATF3 group compared with that in the Model group (<xref rid="fig4" ref-type="fig">Figure 4E</xref>). The alleviated cell apoptosis in the Ad-shATF3 group was further confirmed by TUNEL assay (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig4" ref-type="fig">Figure 4F</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Knockdown of ATF3 suppressed the pathological injury of IS (<italic>N</italic>&#x2009;=&#x2009;6 each group). <bold>(A)</bold> Western blot of ATF3 expression at the protein level. <bold>(B)</bold> qRT-PCR analysis of the knockdown efficiency of ATF3 at the mRNA level. <bold>(C)</bold> TTC staining. <bold>(D)</bold> HE staining. <bold>(E)</bold> IHC staining for caspase-3. <bold>(F)</bold> TUNEL staining. <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Sham; <sup>##</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Model.</p>
</caption>
<graphic xlink:href="fnmol-15-1079338-g004.tif"/>
</fig>
</sec>
<sec id="sec24">
<title>Knockdown of ATF3 inhibits the ferroptosis in brain tissues of is rats</title>
<p>Whether the action mechanism of ATF3 in IS is associated with the ferroptosis was further analyzed. COX2 (a negative regulator of ferroptosis) and GPX4 (a central positive regulator of ferroptosis) are two indicators of ferroptosis. The Model group showed higher protein expression of COX2 and lower protein expression of GPX4 compared to the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). The intervention of Ad-shATF3 significantly down-regulated COX2 and up-regulated GPX4 in the model rats (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig5" ref-type="fig">Figure 5A</xref>). Excess intracellular iron is another indicator for ferroptosis, which can elevate reactive oxygen species levels and subsequent lipid peroxidation. The Model group showed a higher iron content than the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01), and the abnormal increased iron content in the model rats was alleviated by the intervention of Ad-shATF3 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig5" ref-type="fig">Figure 5B</xref>). Furthermore, a lower content of GSH was observed in the Model group than that in the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). After knockdown of ATF3 in the model rats (the Ad-shATF3 group), the low GSH level was increased to some degrees (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig5" ref-type="fig">Figure 5C</xref>). In contrast to GSH, the MDA level was higher in the Model group compared to the Sham group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). The intervention of Ad-shATF3 weakened the elevation of MDA level in the model rats (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01; <xref rid="fig5" ref-type="fig">Figure 5D</xref>). All the results above reflected that knockdown of ATF3 inhibited the ferroptosis in the model rats, contributing to the remission of IS.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Knockdown of ATF3 inhibited ferroptosis in IS rats (<italic>N</italic>&#x2009;=&#x2009;6 each group). <bold>(A)</bold> Western blot analysis of GOX2 and GPX4 expression at the protein level. <bold>(B)</bold> Iron content. <bold>(C)</bold> GSH content. <bold>(D)</bold> MDA content. <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Sham; <sup>##</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 vs. Model.</p>
</caption>
<graphic xlink:href="fnmol-15-1079338-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="sec25" sec-type="discussions">
<title>Discussion</title>
<p>IS is an major type of stroke, which is accompanied with a high risk of cognitive deficits and mortality worldwide due to ischemic neuronal damage (<xref ref-type="bibr" rid="ref38">Zhao et al., 2022</xref>). The emerging knowledge on the molecular mechanisms involving IS facilitates the development of potential therapeutic agents (<xref ref-type="bibr" rid="ref7">Khoshnam et al., 2017</xref>). In this study, a rat model of IS was established to discover more candidate genes with therapeutic potential against IS. After MCAO, the model rats exhibited a series of pathological changes in brain tissues, mainly including the appearance of infarction area, interstitial edema and inflammatory cell infiltration, and enhancement of cell apoptosis. These characteristics are similar to the clinical manifestations of IS in human, confirming the successful establishment of IS model in rats.</p>
<p>Transcriptional sequencing is a powerful method to determine the underlying gene regulatory networks in certain diseases. Until now, a variety of potential genes targeting IS have been revealed <italic>via</italic> transcriptional sequencing (<xref ref-type="bibr" rid="ref34">Zhai et al., 2017</xref>; <xref ref-type="bibr" rid="ref39">Zhou et al., 2019</xref>; <xref ref-type="bibr" rid="ref31">Xie et al., 2020</xref>; <xref ref-type="bibr" rid="ref3">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="ref15">Liu C. et al., 2022</xref>). In this study, transcriptional sequencing determined 699 up-regulated DEGs and 461 down-regulated DEGs in the model rats. Among the top 30 up-regulated and 10 down-regulated DEGs, 6 candidate genes (4 up-regulation and 2 down-regulation) relating with ischemic injury were selected for verification. In consistent with the sequencing results, significantly higher expression of Hspa1b, Tfpi2, and Ptx3, and lower expression of Smyd1 and Tacr2 were determined in the Model group than those in the Sham group by qRT-PCR. PTX3 is an important regulator in immune system, which is positively associated with the severity and mortality of IS (<xref ref-type="bibr" rid="ref24">Ryu et al., 2012</xref>; <xref ref-type="bibr" rid="ref8">Kouchaki et al., 2017</xref>). A previous study has determined that PTX3 is also a critical effector of edema resolution and glial scar formation following ischemic brain injury (<xref ref-type="bibr" rid="ref23">Rodriguez-Grande et al., 2014</xref>). These findings indicate that PTX3 exerts a key regulatory role in the pathogenesis of IS. Although there is no direct evidence on the correlations between HSPA1B/TFPI2/SMYD1/TACR2 and IS, these verified DEGs are related with ischemic injury. For example, HSPA1B is a subtype of heat shock protein 70 that up-regulated in mice with global ischemia (<xref ref-type="bibr" rid="ref6">James et al., 2012</xref>) and in mice with acute myocardial infarction (<xref ref-type="bibr" rid="ref13">Liu et al., 2021</xref>). TFPI2 is a Kunitz-type serine protease inhibitor that up-regulated in young rats subjected to ischemic preconditioning (<xref ref-type="bibr" rid="ref17">Liu et al., 2009</xref>). The up-regulation of SMYD1, a lysine methyltransferase is associated with the protective effect of exercise on cardiac function following myocardial infarction (initiated by myocardial ischemia; <xref ref-type="bibr" rid="ref12">Liang et al., 2020</xref>). Ischemic insult alters TACR2 reactivity in the bladder of a rabbit model (<xref ref-type="bibr" rid="ref1">Azadzoi et al., 2008</xref>). Therefore, these genes (HSPA1B, TFPI2, SMYD1, and TACR2) may also be involved in the progression of IS <italic>via</italic> responding to ischemia. Inhibiting of HSPA1B and TFPI2, and restoring of SMYD1 and TACR2 may be beneficial for the remission of ischemic injury. However, the detail functions of these genes in IS are rarely known. Further researches on the therapeutic potential of these genes are urgently needed.</p>
<p>In addition to the above DEGs, ATF3 is also a hubgene in IS. As a stress-inducible gene, ATF3 is reported to be up-regulated in peripheral blood mononuclear cells of patients with IS (<xref ref-type="bibr" rid="ref34">Zhai et al., 2017</xref>; <xref ref-type="bibr" rid="ref9">Li S. et al., 2022</xref>). Consistently, significantly higher expression of ATF3 was revealed in the model rats at both the mRNA and protein levels in this study. Notably, ATF3 plays an important role in regulating ferroptosis, arousing our great attention. For example, Li et al. have shown that sorafenib induces ferroptosis-mediated cardiotoxicity in mice (<xref ref-type="bibr" rid="ref11">Li Y. et al., 2022</xref>). Wang et al. have found that quercetin relieves acute kidney injury through inhibiting ATF3-mediated ferroptosis (<xref ref-type="bibr" rid="ref29">Wang Y. et al., 2021</xref>). <xref ref-type="bibr" rid="ref16">Liu H. et al. (2022)</xref> have revealed that ATF3 inhibits the ferroptosis of myocardial cells following ischemia/reperfusion injury. The above evidence indicates the possibility of ferroptosis involving in the action mechanisms of ATF3 in IS. As expected, knockdown of ATF3 inhibited the ferroptosis in IS rats, evidenced by the down-regulation of COX2, up-regulation of GPX4, decreasing of iron and MDA contents, as well as increasing of GSH content in brain tissues. As an iron-dependent and lipid peroxidation-driven cell death, ferroptosis is usually activated under IS (<xref ref-type="bibr" rid="ref32">Xu et al., 2022</xref>). Evidence has determined that the blocking of ferroptosis is a therapeutic target for IS, which can relieve ischemic brain injury (<xref ref-type="bibr" rid="ref21">Patt et al., 1990</xref>; <xref ref-type="bibr" rid="ref19">Palmer et al., 1994</xref>; <xref ref-type="bibr" rid="ref25">Tuo et al., 2017</xref>; <xref ref-type="bibr" rid="ref32">Xu et al., 2022</xref>). To combine with the positive regulatory role of ATF3 on ferroptosis, we suspect that the inhibition of ATF3-mediated ferroptosis may contribute to the remission of IS. Encouragingly, knockdown of ATF3 relieved the pathological changes of IS in brain tissues, presenting reduced infarction area and cell apoptosis, and weakened interstitial edema and inflammatory cell infiltration. Therefore, we conclude that knockdown of ATF3 suppresses the progression of IS through inhibiting ferroptosis. However, knockdown of ATF3 cannot recover the IS to a normal state. The possible reasons may be that (1) ATF3 was not completely knocked out in the model rats; (2) ATF3 is not the only gene targeting ferroptosis in IS. The discovery of more ferroptosis-related candidates in IS is still needed.</p>
<p>In conclusion, 699 up-regulated DEGs and 461 down-regulated DEGs were screened from a rat model of IS. PTX3, HSPA1B, TFPI2, SMYD1, and TACR2 were potential regulators in IS <italic>via</italic> responding to ischemia. It is noteworthy that knockdown of ATF3 contributed to the remission of IS through inhibiting ferroptosis. Our findings indicate that ATF3 is a promising therapeutic target for IS.</p>
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<sec id="sec26" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, and deposited in the NCBI Genbank repository, accession number PRJNA903298. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="sec27">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Ethics Committee of Ganzhou People's Hospital.</p>
</sec>
<sec id="sec28">
<title>Author contributions</title>
<p>JY and FZ contributed to the conception, design and analysis of data, performed the data analyses, and wrote the manuscript. BL and QL contributed to the conception of the study and wrote the manuscript. GZ contributed significantly to analysis and manuscript preparation and wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec29" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by Hospital Doctoral start-up fund.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="sec31" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnmol.2022.1079338/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnmol.2022.1079338/full#supplementary-material</ext-link></p>
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