<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    ym
   </journal-id>
   <journal-title-group>
    <journal-title>
     Yangtze Medicine
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2475-7330
   </issn>
   <issn publication-format="print">
    2475-7349
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ym.2024.84011
   </article-id>
   <article-id pub-id-type="publisher-id">
    ym-138477
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Study of 7-Hydroxyflavone against Oxidative Stress in Myocardial Ischemia/Reperfusion Injury Based on Network Pharmacology and Bioinformatics 
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Zhipeng
      </surname>
      <given-names>
       Tan
      </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="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yufei
      </surname>
      <given-names>
       Yang
      </given-names>
     </name> 
     <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="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Qunhui
      </surname>
      <given-names>
       Zhang
      </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="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yun
      </surname>
      <given-names>
       Ou
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Huifen
      </surname>
      <given-names>
       Chen
      </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="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yao
      </surname>
      <given-names>
       Liu
      </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="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aHunan Provincial Key Laboratory of Multi-Omics and Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, China
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aClinical Research Center for Myocardial Injury in Hunan Province, Hengyang, China
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aInstitute of Cardiovascular Disease, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     03
    </day> 
    <month>
     12
    </month>
    <year>
     2024
    </year>
   </pub-date> 
   <volume>
    08
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    96
   </fpage>
   <lpage>
    112
   </lpage>
   <history>
    <date date-type="received">
     <day>
      10,
     </day>
     <month>
      November
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      23,
     </day>
     <month>
      November
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      23,
     </day>
     <month>
      December
     </month>
     <year>
      2024
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    <b>Subjective: </b>This study aimed to investigate the therapeutic mechanisms of 7-hydroxyflavone (7-HF) in treating myocardial ischemia/reperfusion injury (MI/RI) via network pharmacology, molecular docking, target validation, and experiments at the animal level. 
    <b>Methods:</b> Firstly, the genes of 7-HF were acquired from PharmMapper, TCMSP, and SwissTargetPrediction. At the same time, MI/RI-related genes were obtained from OMIM, GeneCards, and TTD online platforms. Subsequently, string platform and Cytoscape 3.9.2 were used to construct protein-protein interaction network diagrams and 7-HF-targets-signaling pathways-MI/RI network. Then, the Metascape platform was used to conduct functional enrichment analyses. Next, AutoDock Vina and Pymol were used to perform molecular docking. The hub targets were validated in the GSE66360. Lastly, SOD, MDA, transmission electron microscope, quantitative real-time PCR, and western blot were used to validate in MI/RI rats. 
    <b>Re</b>
    <b>sults: </b>139 genes of 7-HF, 4832 genes of MI/RI were obtained. The 47 interact genes between 7-HF and MI/RI targets for MI/RI were likely to act through multiple pathways. And NQO1 was a critical target in the above process. In an animal experiment, 7-HF could relieve the injured interfibrillar mitochondria and myocardial fibers, decrease the expression of MDA and SOD, and increase the expression of Nrf2, NQO1 and HO-1 in the mRNA and protein level in the MI/RI rats. 
    <b>Conclusion:</b> This study preliminarily demonstrated that 7-HF could provide cardioprotection by inhibiting the oxidative stress and up-regulating Nrf2/NQO1/HO-1 signaling pathway based on network pharmacology, molecular docking, target validation, and animal experiments.
   </abstract>
   <kwd-group> 
    <kwd>
     7-Hydroxyflavone
    </kwd> 
    <kwd>
      Myocardial Ischemia/Reperfusion Injury
    </kwd> 
    <kwd>
      Oxidative Stress
    </kwd> 
    <kwd>
      Network Pharmacology
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Acute myocardial infarction (AMI) remains a health-threatening and disastrous disease resulting from the rupture of unstable plaque and has become the major cause of death all over the world <xref ref-type="bibr" rid="scirp.138477-1">
     [1]
    </xref>-<xref ref-type="bibr" rid="scirp.138477-2">
     [2]
    </xref>. Myocardial ischemia/reperfusion injury (MI/RI) is an important reason why AMI is difficult to treat. The pathological mechanisms of MI/RI include oxidative stress, inflammation, apoptosis, etc. Thus, the detailed mechanism of MI/RI still needs to be further investigated <xref ref-type="bibr" rid="scirp.138477-3">
     [3]
    </xref>. The development of more effective MI/RI drugs will be the focus of cardio-protection. Therefore, it is urgent for us to explore the drugs to treat MI/RI.</p>
   <p>7-hydroxyflavone (7-HF), isolated and identified from the traditional Tibetan medicine, Oxytropis falcata Bunge, exists widely in plants and fruits <xref ref-type="bibr" rid="scirp.138477-4">
     [4]
    </xref>. Many studies have demonstrated a wide range of pharmacological effects of 7-HF, including antiplatelet <xref ref-type="bibr" rid="scirp.138477-5">
     [5]
    </xref>, antioxidant <xref ref-type="bibr" rid="scirp.138477-6">
     [6]
    </xref>, inflammation inhibition <xref ref-type="bibr" rid="scirp.138477-7">
     [7]
    </xref>, renal protection <xref ref-type="bibr" rid="scirp.138477-8">
     [8]
    </xref>, etc. Our previous study has demonstrated that 7-HF inhibits the MAPK/NF-κB signaling pathway to depress the expression of inflammatory factors for the treatment of MI/RI. Studies have shown that flavonoids have antioxidant effects in MI/RI. However, whether 7-HF could play a protective role in the treatment of MI/RI by modulating oxidative stress-related pathways is still unclear.</p>
   <p>Recently, network pharmacology and molecular docking have been recognized as novel and effective methods for investigating the mode of action of traditional Tibetan medicine, focusing on the construction of a network of multi-target, multi-pathway treatments <xref ref-type="bibr" rid="scirp.138477-9">
     [9]
    </xref> <xref ref-type="bibr" rid="scirp.138477-10">
     [10]
    </xref>. The two methods can provide a promising scientific basis for 7-HF to treat MI/RI by regulating oxidative stress-related pathways. Consequently, in this study, network pharmacology and molecular docking were used to predict the potential oxidative stress-related pathways. Then, the screened targets were validated in the gene chip GSE66360. Finally, the pretreatment of 7-HF on the MI/RI rat model was used to testify to the underlying mechanism of 7-HF against MI/RI (<xref ref-type="fig" rid="fig1">
     Figure 1
    </xref>).</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Targets of 7-HF and MI/RI Collection</title>
    <p>PharmMapper (<xref ref-type="bibr" rid="scirp.138477-http://www.lilab-ecust.cn/pharmmapper/">
      http://www.lilab-ecust.cn/pharmmapper/
     </xref>), Traditional Chinese Medicine Systems Pharmacology database and analysis platform (TCMSP,</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>Figure 1. The flowchart of this study.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId17.jpeg?20241226020628" />
    </fig>
    <p>
     <xref ref-type="bibr" rid="scirp.138477-https://old.tcmsp-e.com/tcmsp.php">
      https://old.tcmsp-e.com/tcmsp.php
     </xref>), and SwissTargetPrediction (<xref ref-type="bibr" rid="scirp.138477-http://www.swisstargetprediction.ch/">
      http://www.swisstargetprediction.ch/
     </xref>) were used to acquire the targets of 7-HF <xref ref-type="bibr" rid="scirp.138477-11">
      [11]
     </xref>. OMIM (<xref ref-type="bibr" rid="scirp.138477-http://omim.org/">
      http://omim.org/
     </xref>), GeneCards (<xref ref-type="bibr" rid="scirp.138477-https://www.genecards.org">
      https://www.genecards.org
     </xref>), and TTD (<xref ref-type="bibr" rid="scirp.138477-http://db.idrblab.net/ttd/">
      http://db.idrblab.net/ttd/
     </xref>) were used to obtain the targets of MI/RI <xref ref-type="bibr" rid="scirp.138477-11">
      [11]
     </xref>.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Protein-Protein Interaction (PPI) Network Construction</title>
    <p>The mutual targets between 7-HF and MI/RI were imported into the String database (<xref ref-type="bibr" rid="scirp.138477-https://cn.string-db.org/">
      https://cn.string-db.org/
     </xref>). And the confidence scores were set as ≥0.4. The species was selected as “Homo sapiens”. The results from the String database were imputed into Cytoscape 3.9.2 to further analyze the network. MCC algorithm in the CytoHubba plug-in was used to construct the hub targets network according to the previous study <xref ref-type="bibr" rid="scirp.138477-12">
      [12]
     </xref>.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Functional Enrichment Analyses</title>
    <p>The mutual targets were imputed into the Metascape database (<xref ref-type="bibr" rid="scirp.138477-#/main/step1">
      https://metascape.org/gp/index.html#/main/step1
     </xref>). The results of GO and KEGG enrichment analyses were generated from the above database <xref ref-type="bibr" rid="scirp.138477-3">
      [3]
     </xref>.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. 7-HF-Targets-Signaling Pathways-MI/RI Network Construction</title>
    <p>The relationship table of 7-HF, targets, signaling pathways, and MI/RI was imported into Cytoscape 3.9.2 software to construct a “7-HF-target-signaling pathway-MI/RI” network diagram.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Molecular Docking</title>
    <p>ChemBioDraw (Version 18.0) was used to draw the 2D structure of 7-HF and convert it to a 3D structure. Then, the most structurally similar proteins and ligands of the macromolecular target receptors were obtained from the RCSB PDB online platform (<xref ref-type="bibr" rid="scirp.138477-https://www.rcsb.org/">
      https://www.rcsb.org/
     </xref>). PyMOL (Version 1.7.x) was used to remove water and extract the original ligands to obtain the processed proteins and original ligands. AutoDock Vina (Version 1.5.6) converted the “pdb” format of proteins and corresponding ligands into “pdbqt” format. The activity pocket between the protein and the ligand was obtained, and the relevant parameters were also obtained. Finally, PyMOL (Version 1.7.x) was used for molecular docking to calculate the binding affinity and visualize these results.</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. Screened Targets in MI/RI Data Set GSE66360 Validation</title>
    <p>Data set GSE66360, collected from the Affymetrix Human Genome (U133 Plus 2.0 Array HG-U133_Plus_2), was used to validate the targets acquired from 4.6. The receiver operator characteristic curves (ROC) and the area under the curves (AUC) were used to assess the diagnostic efficacy of the above targets.</p>
   </sec>
   <sec id="s2_7">
    <title>2.7. MI/RI Rats Model Construction</title>
    <p>All study protocols were performed and were approved by the Ethics Committee of the Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China (No. 2024110306002). 7-HF (CAS: 6665-86-7, H0852) was acquired from TCI Chemical Industry Development Co. Sprague Dawley (SD) male rats (n = 36, weight = 160 - 180 g) purchased from HFK Bioscience Co., were grouped into 3 groups: 1) sham group (SHAM), 2) MI/RI group (MI/RI), and 3) MI/RI-7-HF group (7-HF). The SHAM and MI/RI groups were administered with an intraperitoneal injection of 0.9% saline for 7 days. 7-HF group was injected intraperitoneally with 10 mg/kg 7-HF for 7 days <xref ref-type="bibr" rid="scirp.138477-4">
      [4]
     </xref>. All operations were conducted 12 hours after the final administration. A sham operation was carried out without ligating the left anterior descending branch of the coronary artery (LAD). Rats in the MI/RI group and 7-HF group were ligated LAD for 45 min and then underwent the perfusion for 120 min. After the operation, the hearts were collected for subsequent analysis.</p>
   </sec>
   <sec id="s2_8">
    <title>2.8. Transmission Electron Microscope (TEM)</title>
    <p>Cardiac tissue was first pretreated with 3% glutaraldehyde, then postfixed with 1% osmium tetroxide, then dehydrated with serial acetone, infiltrated with Epox 812, and finally embedded. The samples were stained sequentially with methylene blue, uranyl acetate, and lead citrate. The images of cardiac ultrastructure were acquired by transmission electron microscopy (JEM-1400-FLASH, Tokyo, Japan).</p>
   </sec>
   <sec id="s2_9">
    <title>2.9. Superoxide Dismutase (SOD) and Malondialdehyde (MDA) Test</title>
    <p>SOD and MDA were assayed based on the direction of SOD and MDA (Nanjing Jiancheng Bioengineering Institute).</p>
   </sec>
   <sec id="s2_10">
    <title>2.10. Quantitative Real-Time PCR (RT-PCR)</title>
    <p>TRIzol reagent, first-strand cDNA synthesis kit, SYBR green supermix were purchased from Tiangen Co. Hearts were harvested after perfusion. And total RNA was acquired from heart tissue dealt with TRIzol regent. The cDNA was generated from 2 000 ng of RNA in a 20 μL system. RT-PCR was carried out by real-time PCR system (ABI7500, Bio-rad, CA, USA). The primer sequences could be mentioned in <xref ref-type="table" rid="table1">
      Table 1
     </xref>. According to the 2<sup>−</sup><sup>ΔΔCt</sup> method, the expression of each mRNA level was calculated.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.138477-"></xref>Table 1. Primer information.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="31.81%"><p style="text-align:center">Primer name</p></td> 
       <td class="custom-bottom-td acenter" width="68.19%"><p style="text-align:center">Primer sequence</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="31.81%"><p style="text-align:center">Nrf2 Forward</p></td> 
       <td class="custom-top-td acenter" width="68.19%"><p style="text-align:center">CCTTCCTCTGCTGCCATTAGTC</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">Nrf2 Reverse</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">GAACTCCACCGTGCCTTACG</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">NQO1 Forward</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">GCCTACACGTATGCCACCAT</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">NQO1 Reverse</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">TGGACACCCTGCAGAGAGTA</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">HO-1 Forward</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">CTAAGACCGCCTTCCTGCTC</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">HO-1 Reverse</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">GCCTCTGGCGAAGAAACTCT</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">β-Actin Forward</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">GCGCAAGTACTCTGTGTGGA</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="31.81%"><p style="text-align:center">β-Actin Reverse</p></td> 
       <td class="acenter" width="68.19%"><p style="text-align:center">CATCGTACTCCTGCTTGCTG</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s2_11">
    <title>2.11. Western Blot (WB)</title>
    <p>WB was conducted as described in the previously reported method <xref ref-type="bibr" rid="scirp.138477-4">
      [4]
     </xref>. Total proteins from heart tissues were extracted using a whole-cell lysis kit (Wanlei Bio, WLA019a, China). Protein density was measured with the BCA Protein Detection Kit (Abbkine, KTD3001, China). 5% skimmed milk (Yamei, No. 025B1050, China) combined with 1 × TBST was for blocking the PVDF membrane, and the incubation was performed overnight at 4˚C with anti-NRF2, anti-NQO1, and anti-HO-1 antibodies. The PVDF membrane was cleansed three times with 1 × TBST buffer. HRP-incorporated goat anti-rabbit antibody was incubated with the washed membrane. After washing, the color was visualized using the enhanced chemiluminescence (ECL) kit (Wanlei Bio, WLA006a, China). BIO RAD was performed for the image.</p>
   </sec>
   <sec id="s2_12">
    <title>2.12. Statistical Analysis</title>
    <p>Cytoscape (Version 3.9.2) was used for analysis in the part of Network pharmacology. R Studio (Version 1.4.1717) was performed for analysis in the part of bioinformatics. p &lt; 0.05 and |log FC| ≥ 1.5 were used as the filtering criteria. Functional enrichment analyses were completed via Metascape. PyMOL (Version 1.7.x) and AutoDock Vina (Version 1.5.6) were conducted for Molecular docking. In the animal experiment, one-way ANOVA was conducted with GraphPad Prism, version 8.3.1 (GraphPad Software Inc., CA), to compare the two groups. In the analysis of the results of WB, Image J, version 1.52v (National Institutes of Health, USA) was used. All quantitative data were shown as mean ± standard deviation. A p value &lt; 0.05 was regarded as statistically significant.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Targets of 7-HF Collection</title>
    <p>The 7-HF were entered into the TCMSP, SwissTargetPrediction, and PharmMapper databases to obtain 0, 0, and 140 potential targets of action, respectively. These targets were merged and then normalized by the UniProt database to obtain 139 targets.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Targets of MI/RI Collection</title>
    <p>The MI/RI were entered into OMIM, GeneCards, and TTD databases to obtain 15, 4820, and 37 MI/RI related targets, respectively. These targets were merged and normalized by the UniProt database to obtain 4832 targets.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Mutual Targets between 7-HF and MI/RI Acquisition</title>
    <p>There were 47 mutual targets between 7-HF targets and MI/RI targets. The interaction targets included ZPR1, WARS1, VPS4B, VEGFB, VDR, TMPO, THBS1, SRP54, PTGS2, PTGDS, PRKCB, POLB, PELO, NQO1, NNMT, NFATC1, MUC1, MT-CYB, MB, MATK, LGALS3, LDHAL6B, IFNGR1, HSD11B1, HBB, HBA1, GZMB, GYG1, GOT1, GAD1, FAIM, FABP2, DPP3, DLD, CTH, CST3, CKM, CHAT, CCND1, CAT, CANT1, CA2, ASAP2, AR, ALB, ACTA1, and ACHE.</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Protein-Protein Interaction (PPI) Network Construction</title>
    <p>The 47 mutual target genes were imported into the STRING database, the “Multiple proteins” was selected, the organism was set to “Homo sapiens”, the unlinked target proteins were hidden, and the PPI network was constructed. The PPI network consists of 47 nodes and 82 edges (<xref ref-type="fig" rid="fig2(a)">
      Figure 2(a)
     </xref>). PPI enrichment p-value was 1.11e−16. The average node degree was 3.49. The average local clustering coefficient was 0.508. In this study, we imported the “TSV” table from the STRING database into Cytoscape 3.9.2, applied “Analyze network” in the tool, selected the undirected analysis network graph to calculate the degree, and then used the MCC algorithm in the CytoHubba plug-in to construct the hub target network diagram (<xref ref-type="fig" rid="fig2(b)">
      Figure 2(b)
     </xref>). The top 10 hub targets in order of degree were ALB, CAT, PTGS2, CCND1, NQO1, AR, MUC1, GOT1, LDHAL6B, and MB.</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>Figure 2. Network diagram: (a) 47 mutual target genes in the PPI network diagram; (b) The top ten target genes in the hub network diagram by MCC algorithm in the CytoHubba plug-in.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId26.jpeg?20241226020640" />
    </fig>
   </sec>
   <sec id="s3_5">
    <title>3.5. Functional Enrichment Analyses</title>
    <p>A total of 47 mutual target genes were imported into the Metascape online platform for enrichment analysis, and a total of 173 Gene ontology (GO) enrichment analysis items, and 26 KEGG signaling pathways were obtained (p &lt; 0.05). 133 GO biological process (BP) items, 14 GO cellular component (CC) items and 26 GO molecular function (MF) items were included in the GO enrichment analysis. GO BP was enriched in response to hypoxia, response to decreased oxygen levels, positive regulation of angiogenesis, etc. (p &lt; 0.05, <xref ref-type="fig" rid="fig3(a)">
      Figure 3(a)
     </xref>). GO CC was enriched in oxidoreductase, ficolin-1-rich granule lumen, tertiary granule lumen, etc. (p &lt; 0.05, <xref ref-type="fig" rid="fig3(b)">
      Figure 3(b)
     </xref>). GO MF was enriched in antioxidant activity, oxygen binding and oxygen carrier activity (p &lt; 0.05, <xref ref-type="fig" rid="fig3(c)">
      Figure 3(c)
     </xref>). The mutual targets were enriched in the advanced glycation end products (AGE)/receptor of advanced glycation end products (RAGE) signaling pathway, Wnt signaling pathway and MAPK signaling pathway (p &lt; 0.05, <xref ref-type="fig" rid="fig3(d)">
      Figure 3(d)
     </xref>).</p>
   </sec>
   <sec id="s3_6">
    <title>3.6. 7-HF-Targets-Signaling Pathways-MI/RI Network Construction</title>
    <p>We imported the prepared property files into Cytoscape to construct the “7-HF-Target-Signaling Pathway-MI/RI” network diagram. The red quadrilateral represented 7-HF. The purple triangle represented MI/RI. The green V represented Rap1, AGE-RAGE, MAPK, and Wnt signaling pathways. The orange hexagon represented PRKCB, THBS1, CCND1, VEGFB, and NFATC1, which acted on two or more signaling pathways of 7-HF for the treatment of MI/RI in common. The yellowish oval indicated that 42 target genes acted in one signaling pathway of 7-HF for treatment of MI/RI (<xref ref-type="fig" rid="fig4">
      Figure 4
     </xref>).</p>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>Figure 3. Enrichment analysis: (a) GO biological process for 47 targets; (b) GO cellular components for 47 targets; (c) GO molecular function for 47 targets; (d) Signaling pathway for 47 targets.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId27.jpeg?20241226020642" />
    </fig>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>Figure 4. 7-HF-Targets-Siganling pathways-MI/RI network diagram.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId28.jpeg?20241226020642" />
    </fig>
   </sec>
   <sec id="s3_7">
    <title>3.7. Molecular Docking</title>
    <p>In the results of enrichment analysis, oxidative stress played an important role in the treatment of MI/RI. NQO1 was a recognized hub biomarker from the above study. Nrf2/NQO1/HO-1 signaling pathway played a significant role in the treatment of MI/RI in the previous study. Whether Nrf2/NQO1/HO-1 signaling pathway participated in 7-HF for treating MI/RI remains unclear. Thus, molecular docking was used to simulate the binding ability between 7-HF and hub target proteins including Nrf2, NQO1, and HO-1. The results showed that 7-HF could have more stable binding to the above proteins (<xref ref-type="fig" rid="figFigures 5(a)">
      Figures 5(a)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f5">
      (c)
     </xref>).</p>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>Figure 5. Molecular docking and validation in gene chip GSE66360: (a) Molecular docking between 7-HF and Nrf2; (b) Molecular docking between 7-HF and NQO1; (c) Molecular docking between 7-HF and HO-1; (d) The mRNA expression of NQO1 in the GSE66360; (e) The ROC and AUC of NQO1 in the GSE66360.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId29.jpeg?20241226020642" />
    </fig>
   </sec>
   <sec id="s3_8">
    <title>3.8. Screened Targets in MI/RI Data Set GSE66360 Validation</title>
    <p>From the above results, Nrf2, NQO1, and HO-1 were important targets. Thus, how many of these targets were expressed in MI/RI patients? And we testified these targets in the data set GSE66360. Compared to CON, the expression of NQO1 was much lower in the MI/RI group (<xref ref-type="fig" rid="fig5(d)">
      Figure 5(d)
     </xref>). And NQO1 distinguished between CON and MI/RI. The AUC of NQO1 was 0.633 (0.518, 0.741) (<xref ref-type="fig" rid="fig5(e)">
      Figure 5(e)
     </xref>). The other two targets were not differentially expressed in this dataset.</p>
   </sec>
   <sec id="s3_9">
    <title>3.9. TEM</title>
    <p>Interfibrillar mitochondria (IFM) and myocardial fibers were normal in the SHAM group, whereas mitochondria were impaired in the MI/RI group. After the pretreatment of 7-HF in the HF group, injured IFM were repaired (<xref ref-type="fig" rid="figFigures 6(a)">
      Figures 6(a)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f6">
      (c)
     </xref>).</p>
    <p>SOD and MDA Test</p>
    <p>Compared to the SHAM group, an increase in the serum of MDA, and a decrease in the serum of SOD, were noticed in the MI/RI group (p &lt; 0.05; <xref ref-type="fig" rid="fig7(a)">
      Figure 7(a)
     </xref> &amp; <xref ref-type="fig" rid="fig7(b)">
      Figure 7(b)
     </xref>). Compared to the MI/RI group, the pretreatment of 7-HF could significantly relieve the mentioned above alterations in the 7-HF group (p &lt; 0.05; <xref ref-type="fig" rid="fig7(a)">
      Figure 7(a)
     </xref> &amp; <xref ref-type="fig" rid="fig7(b)">
      Figure 7(b)
     </xref>).</p>
    <fig id="fig6" position="float">
     <label>Figure 6</label>
     <caption>
      <title>Figure 6. The results of TEM: (a)-(c) Effect of 7-HF on the ultrastructural changes (20,000×) in the SHAM, MI/RI, 7-HF groups, respectively.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId30.jpeg?20241226020643" />
    </fig>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>Figure 7. The expression of the serum of SOD and MDA: (a) The expression of the serum of SOD (n = 12); (b) The expression of the serum of MDA (n = 12).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId31.jpeg?20241226020643" />
    </fig>
   </sec>
   <sec id="s3_10">
    <title>3.10. RT-PCR</title>
    <p>The mRNA expression levels in the Nrf2/NQO1/HO-1 signaling pathway were used to investigate the mechanism of 7-HF on MI/RI. The results showed that the expression levels of Nrf2, NQO1, and HO-1 were significantly lower in the MI/RI group compared with the SHAM group (p &lt; 0.05; <xref ref-type="fig" rid="figFigures 8(a)">
      Figures 8(a)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f8">
      (c)
     </xref>). Compared with the MI/RI group, the expression levels of Nrf2, NQO1, and HO-1 were increased in the 7-HF group (p &lt; 0.05; <xref ref-type="fig" rid="figFigures 8(a)">
      Figures 8(a)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f8">
      (c)
     </xref>).</p>
   </sec>
   <sec id="s3_11">
    <title>3.11. WB</title>
    <p>The protein expression levels in the Nrf2/NQO1/HO-1 signaling pathway were used to explore the mechanism of 7-HF on MI/RI. The results demonstrated that the expression levels of Nrf2, NQO1, and HO-1 were lower in the MI/RI group compared with the SHAM group (p &lt; 0.05; <xref ref-type="fig" rid="figFigures 9(b)">
      Figures 9(b)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f9">
      (d)
     </xref>). Compared with the MI/RI group, the expression levels of Nrf2, NQO1, and HO-1 were increased in the 7-HF group (p &lt; 0.05; <xref ref-type="fig" rid="figFigures 9(b)">
      Figures 9(b)
     </xref>-<xref ref-type="bibr" rid="scirp.138477-#f9">
      (d)
     </xref>).</p>
    <fig id="fig8" position="float">
     <label>Figure 8</label>
     <caption>
      <title>Figure 8. The results of RT-PCR: (a) Nrf2 mRNA relative expression; (b) NQO1 mRNA relative expression; (c) HO-1 mRNA relative expression (n = 3).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId32.jpeg?20241226020644" />
    </fig>
    <fig id="fig9" position="float">
     <label>Figure 9</label>
     <caption>
      <title>Figure 9. The protein expression of Nrf2, NQO1, and HO-1: (a) Nrf2 protein relative expression; (b) NQO1 protein relative expression; (c) HO-1 protein relative expression (n = 3).</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2940302-rId33.jpeg?20241226020644" />
    </fig>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>In this study, network pharmacology, molecular docking, target validation, and animal experiments were used to investigate the targets and mechanisms of 7-HF for MI/RI. We have found the results as follows: a total of 47 target genes of 7-HF for the treatment of MI/RI was obtained; 7-HF for MI/RI might regulate MAPK, AGE/RAGE, and Wnt signaling pathways to treat MI/RI; molecular docking, RT-PCR, and WB both confirmed that 7-HF alleviated MI/RI through activation of Nrf2/NQO-1/HO-1 signaling pathway.</p>
   <p>The application of Cytoscape is beneficial for revealing the interactions between proteins in PPI networks. The cytoHubba, as one of the important plug-ins, provides 11 topological analysis algorithms <xref ref-type="bibr" rid="scirp.138477-13">
     [13]
    </xref>. Of them, the MCC algorithm is more accurate in analyzing proteins in PPI networks. Therefore, the MCC algorithm was used to explore the hub targets in the PPI network in depth. A total of 10 important targets were screened, among which the top three target genes were ALB, CAT, and PTGS2 based on degree ranking. ALB encoded plasma albumin, whose structural domain antibodies were combined with glucagon-like peptide-1 to protect the heart from MI/RI. This drug has a longer duration of action and will be an important strategy for alleviating MI/RI during AMI <xref ref-type="bibr" rid="scirp.138477-14">
     [14]
    </xref>. CAT encoded catalase. Studies have shown that ferulic acid, resveratrol, and allicin attenuated MI/RI by inhibiting catalase <xref ref-type="bibr" rid="scirp.138477-15">
     [15]
    </xref>-<xref ref-type="bibr" rid="scirp.138477-17">
     [17]
    </xref>. PTGS2 encoded cyclooxygenase-2, and its interaction with endoplasmic reticulum stress exacerbated MI/RI <xref ref-type="bibr" rid="scirp.138477-18">
     [18]
    </xref>. Berberine induced the expression of miR-26b-5p and inhibited PTGS2/MAPK signaling pathway to exert anti-MI/RI effects <xref ref-type="bibr" rid="scirp.138477-19">
     [19]
    </xref>. From the above evidence, it is clear that ALB, CAT, and PTGS2 will be important directions for the development of novel drugs to treat MI/RI.</p>
   <p>GO enrichment analysis revealed 47 intersecting genes enriched in BP, CC, MF, and mechanisms related to oxidative stress, inflammation, apoptosis, etc. Previous studies have shown that 7-HF exerted anti-platelet effects by inhibiting platelet glycoprotein IIb/IIIa <xref ref-type="bibr" rid="scirp.138477-5">
     [5]
    </xref>. 7-HF regulated ERK/Nrf2/HO-1 signaling pathway to protect renal tubular epithelial cells from oxidant stress <xref ref-type="bibr" rid="scirp.138477-8">
     [8]
    </xref>. 7-HF inhibited NF-κB signaling pathway to reduce the inflammatory response of RAW264.7 <xref ref-type="bibr" rid="scirp.138477-20">
     [20]
    </xref>. The results mentioned above were consistent with our results.</p>
   <p>KEGG enrichment analysis revealed that these targets were mainly related to MAPK, Wnt, and AGE-RAGE signaling pathways. Mangostin regulated AGE-RAGE/MAPK signaling pathway to inhibit myocardial oxidative stress, inflammatory response and apoptosis to attenuate MI/RI in streptozotocin-induced diabetes mellitus rats <xref ref-type="bibr" rid="scirp.138477-21">
     [21]
    </xref>. Simvastatin-loaded nanocarriers could alleviate MI/RI by inhibiting MAPK/NF-κB signaling pathway <xref ref-type="bibr" rid="scirp.138477-22">
     [22]
    </xref>. Blocking the Wnt signaling pathway could inhibit the inflammatory response and ameliorate MI/RI <xref ref-type="bibr" rid="scirp.138477-23">
     [23]
    </xref>. The evidences also provided research references for clinical new drug development and precision treatment of MI/RI.</p>
   <p>Based on the obtained hub targets and signaling pathways, “7-HF-target-signaling pathway-MI/RI” regulatory network diagram was constructed, which initially revealed the role of 7-HF in treating MI/RI through multiple targets, signaling pathways, and BP. Molecular docking was used to confirm that 7-HF could be combined with Nrf2, NQO1, and HO-1. Subsequently, NQO1 was also validated in the GSE66360. ROC and AUC both proved that NQO1 was a significant target in MI/RI.</p>
   <p>Oxidative stress was an important cause of MI/RI <xref ref-type="bibr" rid="scirp.138477-24">
     [24]
    </xref>. Nrf2, an important receptor during cellular oxidation, entered the nucleus and regulates the expression of SOD, HO-1, and NQO1 under the stimulation of ischemia and hypoxia <xref ref-type="bibr" rid="scirp.138477-25">
     [25]
    </xref>. SOD was the first line of defense against oxidative stress, and MDA was positively correlated with lipid peroxidation. NQO1 was a flavinase with antioxidant activity. HO-1 was a protective enzyme with antioxidant activity mediated by Nrf2. The Nrf2/NQO1/HO-1 signaling pathway was involved in oxidative and antioxidant processes and played an important role in organ protection <xref ref-type="bibr" rid="scirp.138477-26">
     [26]
    </xref>. Sun et al. have found that aloin activated the Nrf2/HO-1 signaling pathway to inhibit oxidative stress and inflammatory responses to protect H9c2 cardiomyocytes from H/R-induced injury <xref ref-type="bibr" rid="scirp.138477-27">
     [27]
    </xref>. Lan et al. have demonstrated that melatonin upregulated the Nrf2/HO-1 signaling pathway to attenuate oxidative stress to protect the heart from MI/RI <xref ref-type="bibr" rid="scirp.138477-28">
     [28]
    </xref>. In this study, we used 7-HF to pretreat MI/RI rats and found that 7-HF could increase the mRNA expression of Nrf2, NQO1, and HO-1 to alleviate MI/RI. It cannot be ruled out that there is an accompanying relationship. Detailed and in-depth exploration will be further developed.</p>
   <p>Although our study shed new light on the mechanisms of 7-HF for MI/RI treatment, it still had limitations. Western blotting, transfection, or overexpression techniques were required to further elucidate the mechanism of 7-HF for MI/RI treatment.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>In summary, this study focuses on the pretreatment with 7-HF could provide cardioprotection by inhibiting the oxidative stress and up-regulating Nrf2/NQO1/HO-1 signaling pathway based on network pharmacology, molecular docking, target validation, and animal experiment.</p>
  </sec><sec id="s6">
   <title>Consent for Publication</title>
   <p>All authors have agreed to publish this manuscript.</p>
  </sec><sec id="s7">
   <title>Data Availability Statement</title>
   <p>The original contributions shown in the study are selected in the article/supplementary material. Appropriate inquiries can be made with the corresponding author.</p>
  </sec><sec id="s8">
   <title>Funding</title>
   <p>This study was financially supported by a grant from the Health Research Project of Hunan Provincial Health Commission (Grant No. W20243099) and the Doctoral Research Start-up Fund of the First Affiliated Hospital, Hengyang Medical School, University of South China.</p>
  </sec><sec id="s9">
   <title>Authors’ Contributions</title>
   <p>Z.T. and Q.Z. in the study design. Q.Z., Y.O., Z.T., H.C., and Y.L. in the collection. Q.Z., Y.O., Z.T., H.C., and Y.L. analysis and interpretation of data. Z.T. and Q.Z. in the writing of the manuscript. Z.T. and Q.Z. administered and coordinated the whole study project. All authors have read and agreed to the published version of the manuscript.</p>
  </sec><sec id="s10">
   <title>Acknowledgements</title>
   <p>We thank to all authors and editors and reviewers who participate in this study.</p>
  </sec><sec id="s11">
   <title>Ethical Approval</title>
   <p>All studies have been approved by the Ethics Committee of the Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China. Ethics Approval No. 2024110306002. This study was approved by the First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan Province, China.</p>
  </sec><sec id="s12">
   <title>Statement of Human and Animal Rights</title>
   <p>All of the experiment procedures involving animals were conducted in accordance with the First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan Province, China.</p>
  </sec><sec id="s13">
   <title>Statement of Informed Consent</title>
   <p>There are no human subjects in this article, and informed consent is not applicable.</p>
  </sec><sec id="s14">
   <title>Abbreviations</title>
   <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">AMI</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Acute myocardial infarction</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">AGE</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Advanced glycation end products</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">BP</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Biological process</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">CC</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Cellular component</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">GO</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Gene ontology</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">IFM</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Interfibrillar mitochondria</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">lad</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Left anterior descending branch of the coronary artery</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">MDA</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Malondialdehyde</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">MI/RI</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Myocardial ischemia/reperfusion injury</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">MF</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Molecular function</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">7-HF</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">7-hydroxyflavone</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">PPI</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Protein-protein Interaction</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">RAGE</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Receptor of advanced glycation end products</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">RT-PCR</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Quantitative real-time PCR</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">WB</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Western blot</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">SOD</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Superoxide dismutase</p></td> 
    </tr> 
    <tr> 
     <td class="aleft" width="36.33%"><p style="text-align:left">TEM</p></td> 
     <td class="aleft" width="88.72%"><p style="text-align:left">Transmission electron microscope</p></td> 
    </tr> 
   </table>
  </sec>
 </body><back>
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