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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2020.01320</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Regulation of GABA<sub>A</sub> and 5-HT Receptors Involved in Anxiolytic Mechanisms of Jujube Seed: A System Biology Study Assisted by UPLC-Q-TOF/MS and RT-qPCR Method</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname><given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/940122"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname><given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1037843"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname><given-names>Chun</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname><given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname><given-names>Lu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kan</surname><given-names>Juntao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1018365"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname><given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Du</surname><given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/944158"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Nutrilite Health Institute, Amway (China) R&amp;D Center</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Nutrilite Health Institute, Amway Innovation and Science</institution>, <addr-line>Buena Park, CA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Hai Yu Xu, China Academy of Chinese Medical Sciences, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Juan Francisco Rodr&#xed;guez-Landa, University of Veracruz, Mexico; Chunmei Zhang, Shandong Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jun Du, <email xlink:href="mailto:eric.du@amway.com">eric.du@amway.com</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Ethnopharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>10</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>01320</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>04</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>08</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2020 Chen, Zhang, Hu, Zhang, Zhang, Kan, Li and Du</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Chen, Zhang, Hu, Zhang, Zhang, Kan, Li and Du</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>
<p>The increase of the prevalence of anxiety greatly impacts the quality of life in China and globally. As the most popular traditional Chinese medicinal ingredient for nourishing health and tranquilizing mind, Jujube seed (<italic>Ziziphus jujuba</italic> Mill., Rhamnaceae) (SZJ) has been proved to exert anxiolytic effects in previous reports. In this study, a system biology method assisted by UPLC-Q-TOF/MS and RT-qPCR was developed to systematically demonstrate the anxiolytic mechanisms of SZJ. A total of 35 phytochemicals were identified from SZJ extract (<italic>Ziziphus jujuba</italic> Mill. var. spinosa [Bunge] Hu ex H.F. Chow), which interact with 71 anxiolytic targets. Protein-protein interaction, genes cluster, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were subsequently conducted, and results demonstrated that regulation of serotonergic and GABAergic synapse pathways were dominantly involved in the anxiolytic mechanisms of SZJ extract. The effects of SZJ extract on mRNA expressions of multiple GABA<sub>A</sub> (gamma-aminobutyric acid type A) and 5-HT (serotonin) receptors subtypes were further validated in human neuroblastoma SH-SY5Y cells using RT-qPCR. Results showed that SZJ extract (250 &#x3bc;g/mL) significantly up-regulated the mRNA level of GABRA1 and GABRA3 as well as HTR1A, HTR2A, and HTR2B in non-H<sub>2</sub>O<sub>2</sub> treated SH-SY5Y cells. However, it exerted an inhibitive effect on the overexpressed mRNA of GABRA1, GABRA2, HTR1A, and HTR2A in H<sub>2</sub>O<sub>2</sub> treated SH-SY5Y cells. Taken together, our findings suggest that anxiolytic mechanisms of SZJ mostly involve the regulation of GABAergic and serotonergic synapse pathways, especially a two-way modulation of GABRA1, HTR1A, and HTR2A. Our current results provide potential direction for future investigation of SZJ as an anxiolytic agent.</p>
</abstract>
<kwd-group>
<kwd>anxiety</kwd>
<kwd>jujube seed</kwd>
<kwd>anxiolytic mechanism</kwd>
<kwd>system biology</kwd>
<kwd>5-HT receptors</kwd>
<kwd>GABA<sub>A</sub> receptors</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="89"/>
<page-count count="16"/>
<word-count count="7509"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Anxiety is characterized as excessive and persistent worry about the future, which in turn can impact one&#x2019;s ability to carry out activities of daily living. Anxiety can be divided into generalized anxiety disorder, panic disorder, obsessive-compulsive disorder, social anxiety disorder, and posttraumatic stress disorder (<xref ref-type="bibr" rid="B45">M&#xf6;hler, 2012</xref>; <xref ref-type="bibr" rid="B13">Cohen et al., 2015</xref>). Physiological anxiety symptoms include pounding heart, difficulty breathing, upset stomach, muscle tension, sweating, and feeling faint or shaky (<xref ref-type="bibr" rid="B70">Teychenne et al., 2015</xref>). The global prevalence of anxiety is estimated at 16.6% across the life span, and it becomes a burden of healthcare and quality of life (<xref ref-type="bibr" rid="B63">Somers et al., 2006</xref>); therefore, it is important to develop effective and safe solutions for treatment (<xref ref-type="bibr" rid="B66">Starcevic, 2006</xref>). Tricyclic antidepressants, serotonin-specific reuptake inhibitors, and benzodiazepines have been developed to mitigate anxiety. While effective, these classes of drugs come with many side effects, such as insomnia, sexual dysfunction, suicidal ideation, and/or drug-dependency (<xref ref-type="bibr" rid="B33">Lakhan and Vieira, 2010</xref>). Therefore, the use of complementary and alternative medicines to improve anxiety has received increased attention. Traditional medicinal materials, such as Jujube seed (<italic>Ziziphus jujuba</italic> Mill., Rhamnaceae) (SZJ) (<xref ref-type="bibr" rid="B26">Huang et al., 2008</xref>; <xref ref-type="bibr" rid="B72">Wang Y. et al., 2008</xref>), saffron (<italic>Crocus sativus</italic> L.) (<xref ref-type="bibr" rid="B42">Lopresti et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Milajerdi et al., 2018</xref>), valerian root (<italic>Valeriana officinalis</italic> L.), and passion flower (<italic>Passiflora incarnata</italic> L.) (<xref ref-type="bibr" rid="B46">M&#xfc;ller et al., 2003</xref>; <xref ref-type="bibr" rid="B6">Cass, 2004</xref>; <xref ref-type="bibr" rid="B3">Benke et al., 2009</xref>) have shown anti-anxiety benefits.</p>
<p>SZJ, also known as <italic>Suanzaoren</italic> in Chinese, was first recorded in <italic>Shennong Bencao Jing</italic>, the earliest classic treatise of Chinese Materia Medica. SZJ has a long history of use in China as a vital food and/or medicine that traditionally is considered to sustain human health by calming the mind and improving the quality of sleep. In recent years, accumulated evidences have shown that SZJ and/or its preparations exert positive outcome on insomnia (<xref ref-type="bibr" rid="B28">Jiang et al., 2007</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2011</xref>; <xref ref-type="bibr" rid="B47">Ni et al., 2015</xref>; <xref ref-type="bibr" rid="B62">Shergis et al., 2017</xref>; <xref ref-type="bibr" rid="B79">Xiao et al., 2018</xref>), anxiety (<xref ref-type="bibr" rid="B54">Peng et al., 2000</xref>; <xref ref-type="bibr" rid="B38">Liu et al., 2015</xref>), and depression (<xref ref-type="bibr" rid="B37">Liu et al., 2012</xref>; <xref ref-type="bibr" rid="B35">Liang et al., 2016</xref>), mainly through regulating GABAergic (<xref ref-type="bibr" rid="B7">Chen et al., 2007</xref>; <xref ref-type="bibr" rid="B10">Chen, 2008</xref>; <xref ref-type="bibr" rid="B62">Shergis et al., 2017</xref>) and serotoninergic systems (<xref ref-type="bibr" rid="B73">Wang L.-E. et al., 2008</xref>; <xref ref-type="bibr" rid="B75">Wang&#xa0;et al., 2010</xref>; <xref ref-type="bibr" rid="B38">Liu et al., 2015</xref>). Jujubosides (e.g., jujuboside A, B), C-glycoside flavonoid (e.g., spinosin), and pentacyclic triterpenic acid (e.g., betulinic acid) have been identified from SZJ (<xref ref-type="bibr" rid="B36">Liu et al., 2007</xref>; <xref ref-type="bibr" rid="B85">Zhang et al., 2008</xref>; <xref ref-type="bibr" rid="B34">Lee et al., 2016</xref>) as the potential active phytochemicals contributing to these healthy benefits.</p>
<p>Although previous studies have shown promising anxiolytic effects of SZJ, the underlying mechanism has not been systematically and comprehensively investigated. In our current work, we developed an integrated strategy of system biology assisted by ultra-performance liquid chromatography quadrupole-time of flight mass spectrometer (UPLC-Q-TOF/MS) and real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) to uncover the active phytochemicals and anxiolytic mechanism of SZJ extract. This approach provides a modern and practical way to study complicated chemical systems with multiple pathways and connected targets, which is otherwise a difficult challenge in mechanistic research of traditional Chinese medicine ingredients.</p>
</sec>
<sec id="s2">
<title>Material and Method</title>
<sec id="s2_1">
<title>Phytochemical Analysis of SZJ Extract Using Ultra-Performance Liquid Chromatography Quadrupole-Time of Flight Mass Spectrometer (UPLC-Q-TOF/MS)</title>
<sec id="s2_1_1">
<title>Characteristics of the SZJ Extract</title>
<p>Commercial SZJ extract (batch number HS-180651) was purchased from Honsea Sunshine (Guangzhou, China). Dried seed of <italic>Ziziphus jujuba</italic> Mill. var. spinosa (Bunge) Hu ex H.F. Chow was used for SZJ extract production in Guangzhou, China. SZJ was extracted by supercritical fluid CO<sub>2</sub> to remove lipid fraction, and the residue was further extracted by 50% ethanol, followed by vacuum concentration and vacuum drying. The final extraction ratio is 5:1, and total content of jujuboside A and B was quantitatively detected as 0.20% using HPLC method. A voucher of the batch used has been deposited at -16&#xb0; refrigerator, sampler chamber of Amway (China) R&amp;D Center (Shanghai, China).</p>
</sec>
<sec id="s2_1_2">
<title>Sample Preparation</title>
<p>Thirty mg of SZJ extract powder was precisely weighted and then transferred to a centrifugal tube, with 1.5 mL of methanol (Mass Pure Grade from MERCK), ultrasonicated for 30&#xa0;min (KQ-300DB, 300W,40kHZ) at ambient temperature, followed by centrifuge (12000 rpm, 5&#xa0;min, SIGMA 3K15, SIGMA). The obtained supernatant is filtered through 0.22 &#x3bc;m filter member prior to UPLC-Q-TOF/MS analysis.</p>
</sec>
<sec id="s2_1_3">
<title>UPLC-Q-TOF/MS Conditions</title>
<p>Chemical profiling was performed on an Agilent 1290 UPLC system (Agilent Technologies, Palo Alto, USA) coupled with Sciex TripleTOF 4600<sup>&#xae;</sup> quadrupole-time of flight mass spectrometer (AB Sciex, Darmstadt, Germany) equipped with a DuoSpray source (electrospray ionization, ESI). Agilent SB C18 column (2.1&#xd7;100 mm i.d., 1.8 &#x3bc;m; Agilent) was used for components separation. The mobile phase consisted of water containing 0.1% formic acid (A) and acetonitrile (B). The following gradient condition was used: 0&#x2013;2.0 min, 5%&#x2013;5% B; 2.0&#x2013;10.0 min, 5%&#x2013;30% B; 10.0&#x2013;15.0 min 30%&#x2013;50% B; 15.0&#x2013;25.0 min, 50%&#x2013;95% B; 25.0&#x2013;27.0 min, 95%&#x2013;95% B, with the flow rate of 0.3 mL/min. The injection volume was 1 &#x3bc;L, while column oven temperatures was set at 25&#xb0;C. The mass spectrometer was operated in full-scan TOF-MS at m/z 100&#x2013;1500 and information-dependent acquisition (IDA) MS/MS modes, with both positive and negative ion modes. The collision energy was -40 &#xb1; 20 eV, ion source gas 1 and 2 were set 50&#xa0;psi, curtain gas was 35&#xa0;psi. The temperature and ion spray voltage floating were 500&#xb0;C and 5000/-4500&#xa0;V, respectively.</p>
</sec>
<sec id="s2_1_4">
<title>Data Analysis</title>
<p>Data recording and processing was performed by Analyst software (Version 1.6, AB Sciex, USA). The compounds were tentatively characterized based on their retention time, mass accuracy of precursor ions, MS/MS spectra, and fragmentation pathways, referring to the SCIEX natural products HR-MS/MS Spectral Library, standard references, and previous literatures.</p>
</sec>
</sec>
<sec id="s2_2">
<title>System Biology Analysis of SZJ Extract With Anxiolytic Effects</title>
<sec id="s2_2_1">
<title>Construction of Anxiety-Related Targets Database</title>
<p>A text mining of National Center for Biotechnology Information (NCBI) (<uri xlink:href="https://www.ncbi.nlm.nih.gov/gene/">https://www.ncbi.nlm.nih.gov/gene/</uri>), Integrative Pharmacology&#x2013;based Research Platform of Traditional Chinese Medicine (TCMIP, <uri xlink:href="http://www.tcmip.cn/TCMIP/index.php/Home/">http://www.tcmip.cn/TCMIP/index.php/Home/</uri>) (<xref ref-type="bibr" rid="B80">Xu et al., 2019</xref>), and Comparative Toxico-genomics Database (CTD, <uri xlink:href="http://www.ctdbase.org/">http://www.ctdbase.org/</uri>) (<xref ref-type="bibr" rid="B15">Davis et al., 2019</xref>) was conducted to retrieve anxiety-related targets with the keywords &#x201c;anxiety.&#x201d; TCMIP integrates the diseases related genes data of Therapeutic Targets Database (<uri xlink:href="https://db.idrblab.org/ttd/">https://db.idrblab.org/ttd/</uri>), Human Phenotype Ontology database (HPO, <uri xlink:href="https://hpo.jax.org/app/">https://hpo.jax.org/app/</uri>), and DisGeNET database (<uri xlink:href="https://www.disgenet.org/">https://www.disgenet.org/</uri>). The search results of targets from NCBI, TCMIP, and CTD were filtered with &#x201c;Homo sapiens,&#x201d; and only the targets with direct evidence supported by CTD were selected. All acquired targets were combined and then mapped to UniProt (<uri xlink:href="https://www.uniprot.org/">https://www.uniprot.org/</uri>) for normalization and removal of duplicate and erroneous targets (<xref ref-type="bibr" rid="B39">Liu J. et al., 2018</xref>). The remaining satisfactory targets constitute the anxiety-related gene targets database.</p>
</sec>
</sec>
<sec id="s2_3">
<title>Acquisition of Potential Targets Regarding Anxiolytic Benefits for Identified Phytochemicals</title>
<p>The targets of identified phytochemicals and their potential metabolisms were acquired from multiple databases. In addition to retrieving candidate targets from TCMIP and CTD platforms, PharmMapper Server (<uri xlink:href="http://www.lilab-ecust.cn/pharmmapper/">http://www.lilab-ecust.cn/pharmmapper/</uri>) (<xref ref-type="bibr" rid="B77">Wang et al., 2017</xref>) was employed to fish the potential targets for those phytochemicals of which no available candidate targets were found in TCMIP and CTD. Those targets were excluded if their reliable score was lower than 0.8 from TCMIP, interaction counts less than 5 from CTD, and/or their normalized fit score lower than 0.8 from PharmMapper. After removal of the duplicates, erroneous, and non-Homo sapiens targets, the rest were then mapped to an anxiety-related gene targets database to screen out the intersecting targets.</p>
<sec id="s2_3_1">
<title>Protein-Protein-Interaction (PPI) and Clusters Analysis.</title>
<p>The selective target genes of SZJ extract were imported to STRING (Version 11.0, <uri xlink:href="https://string-db.org/">https://string-db.org/</uri>) (<xref ref-type="bibr" rid="B69">Szklarczyk et al., 2019</xref>) to obtain PPI results. The interaction score set as high confidence (&gt;0.7). The STRING analysed results were then imported into Cytoscape (Version 3.6.1) (<xref ref-type="bibr" rid="B67">Su et al., 2014</xref>), and cluster analysis of target genes was conducted using a Molecular Complex Detection (MCODE) plug-in according to the method in the literature (<xref ref-type="bibr" rid="B78">Wang et al., 2020</xref>).</p>
</sec>
<sec id="s2_3_2">
<title>Enrichments Analysis Along With Network Construction.</title>
<p>The target genes contained in the MCODE enriched clusters were imported into the database for annotation, visualization, and integrated discovery (DAVID, version 6.8) (<uri xlink:href="https://david.ncifcrf.gov/tools.jsp">https://david.ncifcrf.gov/tools.jsp</uri>) (<xref ref-type="bibr" rid="B27">Huang et al., 2009</xref>) to conduct Gene Ontology (GO) terms enrichment including biological processes, cell component, and molecular function. ClueGo plug-in (Version 2.5.7) (<xref ref-type="bibr" rid="B4">Bindea et al., 2009</xref>) was further employed to analyze and demonstrate their participated biologic process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, respectively. The latest databases of GO-Biologic Process annotation EB1-Uniport and KEGG pathway were selected. Visual style was set as &#x201c;groups,&#x201d; minimum gene number, and percentage contained in a term set as 5 and 5%. Statistical method of two-sided hypergeometric test and Bonferroni step down p-value correction was used. Cut-off value of kappa score of GO term/pathway network connectivity was set as 0.5, and only term/pathway with p-value &lt; 0.05 was shown.</p>
</sec>
</sec>
<sec id="s2_4">
<title>RT-qPCR Test</title>
<sec id="s2_4_1">
<title>Samples Preparation</title>
<p>Gamma-amino butyric acid (GABA) was kindly provided by Toong Yeuan International Group (Shanghai, China). GABA was considered as positive control in this test. SZJ extract and GABA ingredients were dissolved in deionized water and diluted in culture solution before use.</p>
</sec>
<sec id="s2_4_2">
<title>Cell Culture</title>
<p>Human neuroblastoma SH-SY5Y cells were kindly provided by Stem Cell Bank, Chinese Academy of Sciences, and cultured in MEM/F12 (Gibco) supplemented with 10% (v/v) inactivated fetal bovine serum (Gibco), 1% Gluta-max (Gibco), 1% Sodium pyruvate (Gibco), 1% NEAA (Gibco), and 100 U/mL penicillin/streptomycin. The cells were maintained at 37&#xb0; in 5% CO<sub>2</sub> and 95% humidified air incubator for the indicated time. All experiments were carried out 24&#xa0;h after cells were seeded.</p>
</sec>
<sec id="s2_4_3">
<title>Samples Concentration Determination</title>
<p>CellTiter-Glo assay was used to evaluate the available concentration of test samples according to the method described in literature (<xref ref-type="bibr" rid="B17">Fallahi-Sichani et al., 2013</xref>). The inhibition on SH-SY5Y cell viability of a series of concentrations of SZJ extract and GABA samples, from 3 mg/mL-0.46 &#x3bc;g/mL, were respectively evaluated. The nonlinear fitting curve of logarithm concentration response to cells viability was then simulated by GraphPad Prism 7.0 (GraphPad Software Inc., San Diego, CA, USA). The concentration of SZJ extract for further test referred to the correspondence value of 90% cells viability.</p>
</sec>
<sec id="s2_4_4">
<title>Samples Stimulation and Grouping</title>
<p>A total of 6 group samples were simultaneously tested: control group (deionized water), 250 &#x3bc;g/mL SZJ extract group, 100 &#x3bc;g/mL GABA group, 100 &#x3bc;M H<sub>2</sub>O<sub>2</sub> group, 250 &#x3bc;g/mL SZJ extract with 100 &#x3bc;M H<sub>2</sub>O<sub>2</sub> group, and 100 &#x3bc;g/mL GABA with 100 &#x3bc;M H<sub>2</sub>O<sub>2</sub> group. Stimulation duration of all group samples was 48&#xa0;h. Duplicates for each group were set as 3.</p>
</sec>
<sec id="s2_4_5">
<title>RNA Isolation and Reverse Transcription</title>
<p>RNA isolation and reverse transcription were conducted following the method reported in the literature (<xref ref-type="bibr" rid="B18">Fuchsova et al., 2016</xref>). Briefly, RNAprep Pure Cell/Bacteria kit (Tiangen, China) was used to extract total RNA according to the manufacturer&#x2019;s instructions. NanoDrop One<sup>C</sup> (ThermoFisher, USA) was used to determine RNA yield and purity by absorbance ratios A260/A280 and A260/A230. OD260/OD280 ratios of the RNA of all samples were in the range of 1.8&#x2013;2.0. 2 &#x3bc;g of total RNA used to synthesize the first strand complementary DNA (cDNA) using high-capacity cDNA reverse transcription kit (ThermoFisher, USA) according to manufacturer&#x2019;s directions. All reverse transcription products were 10-fold dilution.</p>
</sec>
<sec id="s2_4_6">
<title>Oligonucleotide Primers</title>
<p>PrimerBank was applied to search primers for the amplification of human GABRA1, GABRA2, GABRA3, HTR1A, HTR1B, HTR2A, HTR2B, and internal reference genes (GAPDH and ACTB). Nucleotide sequence of primers are listed in <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Nucleotide sequence of the forward and reverse primers, the lengths of the PCR products.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Target mRNA bases</th>
<th valign="top" align="center">Primer sequences</th>
<th valign="top" align="center">T<sub>m</sub> (&#xb0;C)</th>
<th valign="top" align="center">PCR products (bp)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GABRA1</td>
<td valign="top" align="left">Forward, 5&#x2019; AGCCGTCATTACAAGATGAACTT 3&#x2019;<break/>Reverse, 5&#x2019; TGGTCTCAGGCGATTGTCATAA 3&#x2019;</td>
<td valign="top" align="center">60<break/>61.2</td>
<td valign="top" align="center">95</td>
</tr>
<tr>
<td valign="top" align="left">GABRA2</td>
<td valign="top" align="left">Forward, 5&#x2019; GCTGGCTAACATCCAAGAAGAT3&#x2019;</td>
<td valign="top" align="center">60.1</td>
<td valign="top" align="center">92</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Reverse, 5&#x2019; GCCGATTATCGTAACCATCCAGA3&#x2019;</td>
<td valign="top" align="center">61.9</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">GABRA3</td>
<td valign="top" align="left">Forward, 5&#x2019; CAAGGGGAATCAAGACGACAA 3&#x2019;<break/>Reverse, 5&#x2019; CGTCCAGAAGACGATCCAAGAT 3&#x2019;</td>
<td valign="top" align="center">60<break/>61.5</td>
<td valign="top" align="center">145</td>
</tr>
<tr>
<td valign="top" align="left">HTR1A</td>
<td valign="top" align="left">Forward, 5&#x2019; ACCATTAGCAAGGATCATGGC 3&#x2019;<break/>Reverse, 5&#x2019; ATATGCGCCCATAGAGAACCA 3&#x2019;</td>
<td valign="top" align="center">60.2<break/>60.8</td>
<td valign="top" align="center">94</td>
</tr>
<tr>
<td valign="top" align="left">HTR1B</td>
<td valign="top" align="left">Forward, 5&#x2019; GGGTTCCTCAAGCCAACTTATC 3&#x2019;<break/>Reverse, 5&#x2019; GCCAATAGCATAACCAGCAGT 3&#x2019;</td>
<td valign="top" align="center">60.6<break/>60.8</td>
<td valign="top" align="center">115</td>
</tr>
<tr>
<td valign="top" align="left">HTR2A</td>
<td valign="top" align="left">Forward, 5&#x2019; TTAAGGAGGGGAGTTGCTTACT 3&#x2019;<break/>Reverse, 5&#x2019; TGCCAAGATCACTTACACACAAA 3&#x2019;</td>
<td valign="top" align="center">55.1<break/>54.1</td>
<td valign="top" align="center">156</td>
</tr>
<tr>
<td valign="top" align="left">HTR2B</td>
<td valign="top" align="left">Forward, 5&#x2019; TGATTTGCTGGTTGGATTGTTTG 3&#x2019;<break/>Reverse, 5&#x2019; ATGGATGCGGTTGAAAAGAGAA 3&#x2019;</td>
<td valign="top" align="center">53.9<break/>54.3</td>
<td valign="top" align="center">132</td>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;-actin (ACTB)</td>
<td valign="top" align="left">Forward, 5&#x2019; CTTCGCGGGCGACGAT 3&#x2019;<break/>Reverse, 5&#x2019; CCACATAGGAATCCTTCTGACC 3&#x2019;</td>
<td valign="top" align="center">65.1<break/>63.1</td>
<td valign="top" align="center">104</td>
</tr>
<tr>
<td valign="top" align="left">GAPDH</td>
<td valign="top" align="left">Forward, 5&#x2019; GGAAGGTGAAGGTCGGAGTC 3&#x2019;<break/>Reverse, 5&#x2019; TGGAATTTGCCATGGGTGGA3&#x2019;</td>
<td valign="top" align="center">64.9<break/>65.5</td>
<td valign="top" align="center">166</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4_7">
<title>Real-Time PCR (qPCR).</title>
<p>Levels of mRNA were quantified by conducting qPCR reactions with SsoAdvanced Universal SYBR Green Supermix (Bio-Rad, USA) according to the manufacturer&#x2019;s directions. CFX equipped with software (Bio-Rad, USA) was used to perform measurements. PCR was in the 20 &#x3bc;L reaction system containing 0.5 &#x3bc;M primer, 10 &#x3bc;L Mix, 5 &#x3bc;L cDNA, and 3 &#x3bc;L RNase-free ddH<sub>2</sub>O, and the amplification and dissolution curve condition was shown in <xref ref-type="table" rid="T2"><bold>Table 2</bold></xref>. qPCR amplification of ACTB (&#x3b2;-actin) and GAPDH (glyceraldehyde-3-phosphate dehydrogenase) transcription were used as the internal control to verify that equal amounts of RNA were used in each reaction. Fold expression was defined as the fold change relative to control cells.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Condition of amplification and dissolution curve.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Stage</th>
<th valign="top" align="center">Temperature (&#xb0;C)</th>
<th valign="top" align="center">Time</th>
<th valign="top" align="center">Number of cycles</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ding stage<break/>Cycling stage<break/><break/>Melt curve stage</td>
<td valign="top" align="center">95<break/>95<break/>60<break/>65&#x2013;95&#xb0;C 0.5&#xb0;C increment</td>
<td valign="top" align="center">30s<break/>10s<break/>20s</td>
<td valign="top" align="center">1<break/>40<break/><break/>1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4_8">
<title>Statistical Analysis</title>
<p>Bio-Rad CFX Manager software (Bio-Rad, USA) was employed to analyze raw expression data (CT values). For further statistical analysis we used values normalized to the normalization factor calculated as a geometric mean of the expression of two reference genes. All data were expressed as the mean &#xb1; SD, and a two-way ANOVA followed by Tukey test was applied for statistical analysis using GraphPad Prism 7.0.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Phytochemicals Identification of SZJ Extract</title>
<p>Thirty-five phytochemicals were identified from SZJ by using the UPLC-Q-TOF/MS method. The MS chromatogram in negative ion model of SZJ extract is shown in <xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>. The chemical information of identified phytochemicals is seen in <xref ref-type="table" rid="T3"><bold>Table 3</bold></xref>. Among them, 11 phytochemicals were identified by comparison with standard references. The rest of the compounds were identified through comparison with literature data. These phytochemicals are mainly classified into four subcategories: (1) saponins including jujuboside A and jujuboside B; (2) flavones and their C-glycosides including catechin, epicatechin, vicenin-2, swertisin, nicotiflorin, isovitexin and its analogues, and spinosin and its analogues; (3) organic acids including triterpenic acid (e.g., alphitolic acid), fatty acid (e.g., linoleic acid), and glycosylated organic acids (pseudolaroside B and oleuropein); and (4) alkaloids including indoleacetic acid derivatives (e.g., N-glc-indoleacetic acid) and isoquinoline alkaloids (zizyphusine).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Chromatographic profile of SZJ extract using UPLC-Q-TOF/MS in negative ion mode.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g001.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Identified phytochemicals in SZJ extract.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">No</th>
<th valign="top" align="center">RT (min)</th>
<th valign="top" align="center">Adducts</th>
<th valign="top" align="center">Measured <italic>m/z</italic></th>
<th valign="top" align="center">Expected <italic>m/z</italic></th>
<th valign="top" align="center">Mass error(ppm)</th>
<th valign="top" align="center">Formula</th>
<th valign="top" align="center">Molecular weight</th>
<th valign="top" align="center">Phytochemical name</th>
<th valign="top" align="center">MS/MS fragment ions</th>
<th valign="top" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">S1</td>
<td valign="top" align="center">3.11</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">368.0999</td>
<td valign="top" align="center">368.0987</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">C<sub>16</sub>H<sub>19</sub>NO<sub>9</sub></td>
<td valign="top" align="center">369.11</td>
<td valign="top" align="left">3S-N-glc-3-hydroxy-indoleacetic acid</td>
<td valign="top" align="left">368.0062,204.0059,176.0160,158.0085,143.9957,130.0195,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S2</td>
<td valign="top" align="center">3.70</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">329.0885</td>
<td valign="top" align="center">329.0878</td>
<td valign="top" align="center">2.1</td>
<td valign="top" align="center">C<sub>14</sub>H<sub>18</sub>O<sub>9</sub></td>
<td valign="top" align="center">330.29</td>
<td valign="top" align="left">Pseudolaroside B</td>
<td valign="top" align="left">166.9794,151.9582</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S3</td>
<td valign="top" align="center">5.04</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">352.1050</td>
<td valign="top" align="center">352.1038</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">C<sub>16</sub>H<sub>19</sub>NO<sub>8</sub></td>
<td valign="top" align="center">353.11</td>
<td valign="top" align="left">N-glc-indoleaceticacid</td>
<td valign="top" align="left">352.0176,308.0360,188.0133,160.0243,146.0105,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S4</td>
<td valign="top" align="center">5.55</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">352.1054</td>
<td valign="top" align="center">352.1038</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="center">C<sub>16</sub>H<sub>19</sub>NO<sub>8</sub></td>
<td valign="top" align="center">353.11</td>
<td valign="top" align="left">isomer of N-glc-indoleaceticacid</td>
<td valign="top" align="left">352.0161,308.0324,188.0126,160.0231,146.0103,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S5</td>
<td valign="top" align="center">5.97</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">289.0724</td>
<td valign="top" align="center">289.0718</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">C<sub>15</sub>H<sub>14</sub>O<sub>6</sub></td>
<td valign="top" align="center">290.08</td>
<td valign="top" align="left">catechin</td>
<td valign="top" align="left">288.9944,245.0123,202.0026,173.8291,122.9996,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S6</td>
<td valign="top" align="center">6.29</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">595.1694</td>
<td valign="top" align="center">595.1668</td>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">C<sub>27</sub>H<sub>32</sub>O<sub>15</sub></td>
<td valign="top" align="center">596.17</td>
<td valign="top" align="left">5,7-dihydroxy-2-(4-hydroxyphenyl)6,8-bis[3,4,5-trihydroxy-6(hydroxymethyl)oxan-2-yl]-2,3dihydrochromen-4-one</td>
<td valign="top" align="left">595.0439,475.0168,385.0004,354.9931</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B29">Khan et al., 2020</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S7</td>
<td valign="top" align="center">6.78</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">593.1544</td>
<td valign="top" align="center">593.1512</td>
<td valign="top" align="center">5.4</td>
<td valign="top" align="center">C<sub>27</sub>H<sub>30</sub>O<sub>15</sub></td>
<td valign="top" align="center">594.16</td>
<td valign="top" align="left">vicenin 2</td>
<td valign="top" align="left">593.0275,473.0027,382.9841,352.9774</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S8</td>
<td valign="top" align="center">6.90</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">289.0722</td>
<td valign="top" align="center">289.0718</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">C<sub>15</sub>H<sub>14</sub>O<sub>6</sub></td>
<td valign="top" align="center">290.08</td>
<td valign="top" align="left">epicatechin</td>
<td valign="top" align="left">288.9950,245.0136,203.0092,186.9836,136.9752,108.9860,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S9</td>
<td valign="top" align="center">7.10</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">340.1574</td>
<td valign="top" align="center">340.1554</td>
<td valign="top" align="center">5.8</td>
<td valign="top" align="center">C<sub>20</sub>H<sub>23</sub>NO<sub>4</sub></td>
<td valign="top" align="center">341.16</td>
<td valign="top" align="left">zizyphusine</td>
<td valign="top" align="left">340.0703,325.0486,310.0285,251.9723,223.9819,195.9970,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S10</td>
<td valign="top" align="center">7.77</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">593.1533</td>
<td valign="top" align="center">593.1512</td>
<td valign="top" align="center">3.5</td>
<td valign="top" align="center">C<sub>27</sub>H<sub>30</sub>O<sub>15</sub></td>
<td valign="top" align="center">594.16</td>
<td valign="top" align="left">isovitexin-2&#x2033;-O-glucopyranoside</td>
<td valign="top" align="left">593.0285,412.9906,310.9741,292.9673,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B74">Wang et al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S11</td>
<td valign="top" align="center">8.04</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">607.1698</td>
<td valign="top" align="center">607.1727</td>
<td valign="top" align="center">-4.8</td>
<td valign="top" align="center">C<sub>21</sub>H<sub>36</sub>O<sub>20</sub></td>
<td valign="top" align="center">608.18</td>
<td valign="top" align="left">spinosin</td>
<td valign="top" align="left">607.0438,445.0129,427.0056,306.9819,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S12</td>
<td valign="top" align="center">8.22</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">431.1003</td>
<td valign="top" align="center">431.0984</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">C<sub>21</sub>H<sub>20</sub>O<sub>10</sub></td>
<td valign="top" align="center">432.11</td>
<td valign="top" align="left">isovitexin</td>
<td valign="top" align="left">412.9913,340.9805,310.9738,282.9840,239.0020,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B48">Niu et al., 2010</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S13</td>
<td valign="top" align="center">8.45</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">445.115</td>
<td valign="top" align="center">445.114</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">C<sub>22</sub>H<sub>22</sub>O<sub>10</sub></td>
<td valign="top" align="center">446.12</td>
<td valign="top" align="left">swertisin</td>
<td valign="top" align="left">445.0127,324.9879,296.9616,281.9768,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B74">Wang et al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S14</td>
<td valign="top" align="center">8.63</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">757.2028</td>
<td valign="top" align="center">757.1985</td>
<td valign="top" align="center">1.8</td>
<td valign="top" align="center">C<sub>36</sub>H<sub>38</sub>O<sub>18</sub></td>
<td valign="top" align="center">758.21</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-vanilloylspinosin</td>
<td valign="top" align="left">757.0502,427.0029,268.9916,208.9818,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S15</td>
<td valign="top" align="center">8.81</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">593.1542</td>
<td valign="top" align="center">593.1512</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">C<sub>27</sub>H<sub>30</sub>O<sub>15</sub></td>
<td valign="top" align="center">594.16</td>
<td valign="top" align="left">nicotiflorin</td>
<td valign="top" align="left">593.0301,284.9642,254.9591,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S16</td>
<td valign="top" align="center">8.82</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">727.1921</td>
<td valign="top" align="center">727.188</td>
<td valign="top" align="center">5.7</td>
<td valign="top" align="center">C<sub>35</sub>H<sub>36</sub>O<sub>17</sub></td>
<td valign="top" align="center">728.20</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-para-hydroxylbenzoylspinosin</td>
<td valign="top" align="left">727.0437,427.0015,238.9858,178.9772,136.9742,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B48">Niu et al., 2010</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S17</td>
<td valign="top" align="center">8.89</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">769.1986</td>
<td valign="top" align="center">769.1985</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">C<sub>37</sub>H<sub>38</sub>O<sub>18</sub></td>
<td valign="top" align="center">770.21</td>
<td valign="top" align="left">isovitexin-2&#x2033;-O-(6-feruloy)-gluc-opyranoside</td>
<td valign="top" align="left">593.0295,412.9894,292.9667,234.9919,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S18</td>
<td valign="top" align="center">9.08</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">813.2329</td>
<td valign="top" align="center">813.2246</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">C<sub>39</sub>H<sub>42</sub>O<sub>19</sub></td>
<td valign="top" align="center">814.23</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-sinapoylspinosin</td>
<td valign="top" align="left">813.0779,607.0452,427.0041,325.0097</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B74">Wang et al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S19</td>
<td valign="top" align="center">9.27</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">753.2087</td>
<td valign="top" align="center">753.2036</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">C<sub>37</sub>H<sub>38</sub>O<sub>17</sub></td>
<td valign="top" align="center">754.21</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-para-coumaroylspinosi</td>
<td valign="top" align="left">753.0614,607.0459,427.0065,306.9802,264.9971,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B48">Niu et al., 2010</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S20</td>
<td valign="top" align="center">9.28</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">783.2183</td>
<td valign="top" align="center">783.2142</td>
<td valign="top" align="center">5.2</td>
<td valign="top" align="center">C<sub>38</sub>H<sub>40</sub>O<sub>18</sub></td>
<td valign="top" align="center">784.22</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-feruloyspinosin</td>
<td valign="top" align="left">783.0707,427.0056,234.9936,192.9904,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B74">Wang et al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S21</td>
<td valign="top" align="center">9.92</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">869.2945</td>
<td valign="top" align="center">869.2874</td>
<td valign="top" align="center">8.2</td>
<td valign="top" align="center">C<sub>43</sub>H<sub>50</sub>O<sub>19</sub></td>
<td valign="top" align="center">870.29</td>
<td valign="top" align="left">6&#x2019;&#x2019;&#x2019;-(-)-phaseoylspinosin</td>
<td valign="top" align="left">869.1331,839.1245,607.0473,427.0105,</td>  <td valign="top" align="center">(<xref ref-type="bibr" rid="B87">Zhang F.-X. et al., 2016</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S22</td>
<td valign="top" align="center">10.04</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">539.1786</td>
<td valign="top" align="center">539.177</td>
<td valign="top" align="center">2.9</td>
<td valign="top" align="center">C<sub>25</sub>H<sub>32</sub>O<sub>13</sub></td>
<td valign="top" align="center">540.51</td>
<td valign="top" align="left">oleuropein</td>
<td valign="top" align="left">539.0602,307.0033,275.0163</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B57">Rached et al., 2019</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S23</td>
<td valign="top" align="center">10.26</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">783.2172</td>
<td valign="top" align="center">783.2142</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">C<sub>38</sub>H<sub>40</sub>O<sub>18</sub></td>
<td valign="top" align="center">784.22</td>
<td valign="top" align="left">6&#x2019;&#x2019;-O-feruloylspinosin</td>
<td valign="top" align="left">783.0707,607.0454,445.0149,160.9688</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B74">Wang et al., 2009</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S24</td>
<td valign="top" align="center">12.68</td>
<td valign="top" align="center">[M+HCOO]<sup>-</sup></td>
<td valign="top" align="center">1251.608</td>
<td valign="top" align="center">1251.602</td>
<td valign="top" align="center">4.8</td>
<td valign="top" align="center">C<sub>58</sub>H<sub>94</sub>O<sub>26</sub></td>
<td valign="top" align="center">1206.60</td>
<td valign="top" align="left">jujuboside A</td>
<td valign="top" align="left">1244.5868,1207.3994,1075.3781,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S25</td>
<td valign="top" align="center">13.12</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">329.2349</td>
<td valign="top" align="center">329.2333</td>
<td valign="top" align="center">4.7</td>
<td valign="top" align="center">C<sub>18</sub>H<sub>34</sub>O<sub>5</sub></td>
<td valign="top" align="center">330.46</td>
<td valign="top" align="left">octadecenoic acid</td>
<td valign="top" align="left">329.1494,229.0779,211.0714,171.0473</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">S26</td>
<td valign="top" align="center">13.47</td>
<td valign="top" align="center">[M+HCOO]<sup>-</sup></td>
<td valign="top" align="center">1089.555</td>
<td valign="top" align="center">1089.549</td>
<td valign="top" align="center">5.9</td>
<td valign="top" align="center">C<sub>52</sub>H<sub>84</sub>O<sub>21</sub></td>
<td valign="top" align="center">1044.55</td>
<td valign="top" align="left">jujuboside B</td>
<td valign="top" align="left">1043.3670,911.3407,749.3084,</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S27</td>
<td valign="top" align="center">14.43</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">329.2349</td>
<td valign="top" align="center">329.2333</td>
<td valign="top" align="center">4.7</td>
<td valign="top" align="center">C<sub>18</sub>H<sub>34</sub>O<sub>5</sub></td>
<td valign="top" align="center">330.46</td>
<td valign="top" align="left">octadecenoic acid</td>
<td valign="top" align="left">329.1487,201.0517,171.0472</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">S28</td>
<td valign="top" align="center">18.51</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">485.3305</td>
<td valign="top" align="center">485.3272</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="center">C<sub>30</sub>H<sub>46</sub>O<sub>5</sub></td>
<td valign="top" align="center">486.33</td>
<td valign="top" align="left">epiceanothic acid</td>
<td valign="top" align="left">485.2225,423.2285,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B81">Yang et al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S29</td>
<td valign="top" align="center">19.65</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">295.2296</td>
<td valign="top" align="center">295.2279</td>
<td valign="top" align="center">5.9</td>
<td valign="top" align="center">C<sub>18</sub>H<sub>32</sub>O<sub>3</sub></td>
<td valign="top" align="center">296.24</td>
<td valign="top" align="left">octadecenoic acid methyl ester</td>
<td valign="top" align="left">295.1481,277.1445,195.0798,155.0569,</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">S30</td>
<td valign="top" align="center">20.17</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">471.3516</td>
<td valign="top" align="center">471.348</td>
<td valign="top" align="center">7.7</td>
<td valign="top" align="center">C<sub>30</sub>H<sub>48</sub>O<sub>4</sub></td>
<td valign="top" align="center">472.36</td>
<td valign="top" align="left">alphitolic acid</td>
<td valign="top" align="left">471.2459</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B81">Yang et al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S31</td>
<td valign="top" align="center">21.11</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">485.329</td>
<td valign="top" align="center">485.3272</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">C<sub>30</sub>H<sub>46</sub>O<sub>5</sub></td>
<td valign="top" align="center">486.33</td>
<td valign="top" align="left">ceanothic acid</td>
<td valign="top" align="left">485.2209,423.2296,</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B81">Yang et al., 2013</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">S32</td>
<td valign="top" align="center">23.69</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">455.3555</td>
<td valign="top" align="center">455.3531</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">C<sub>30</sub>H<sub>48</sub>O<sub>3</sub></td>
<td valign="top" align="center">456.36</td>
<td valign="top" align="left">betulinic acid</td>
<td valign="top" align="left">455.2508</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S33</td>
<td valign="top" align="center">24.64</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">279.2345</td>
<td valign="top" align="center">279.233</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">C<sub>18</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">280.24</td>
<td valign="top" align="left">linoleic acid</td>
<td valign="top" align="left">279.1583</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S34</td>
<td valign="top" align="center">25.82</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">255.233</td>
<td valign="top" align="center">255.233</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">C<sub>16</sub>H<sub>32</sub>O<sub>2</sub></td>
<td valign="top" align="center">256.24</td>
<td valign="top" align="left">palmitic acid</td>
<td valign="top" align="left">255.1609</td>
<td valign="top" align="center">a</td>
</tr>
<tr>
<td valign="top" align="left">S35</td>
<td valign="top" align="center">26.04</td>
<td valign="top" align="center">[M-H]<sup>-</sup></td>
<td valign="top" align="center">281.2492</td>
<td valign="top" align="center">281.2486</td>
<td valign="top" align="center">2.1</td>
<td valign="top" align="center">C<sub>18</sub>H<sub>34</sub>O<sub>2</sub></td>
<td valign="top" align="center">282.26</td>
<td valign="top" align="left">oleic acid</td>
<td valign="top" align="left">281.1739</td>
<td valign="top" align="center">a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>a, identified by standard references.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Potential Metabolic Products by Gut Microbes of C-Glycoside and Jujubosides Phytochemicals</title>
<p>Gut microbes are known to deglycosylize and cleavage ester bond of flavone C-glycosides and their derivates (<xref ref-type="bibr" rid="B30">Kim et al., 2015</xref>; <xref ref-type="bibr" rid="B71">Vollmer et al., 2018</xref>; <xref ref-type="bibr" rid="B88">Zheng et al., 2019</xref>). Similarly, jujuboside A is metabolized to jujubogenin in gastrointestine to exhibit effects on the expression and activation of gamma amino-butyric acid A (GABA<sub>A</sub>) receptors (<xref ref-type="bibr" rid="B64">Song et al., 2017</xref>). Based on the metabolic patterns reported in those literatures, we deduced the metabolic products by gut microbe of flavone C-glycosides and jujubosides&#xa0;of SZJ extracts. As a result, 11 metabolites of these flavone C-glycosides and jujubosides are concluded for further system biology analysis. To be specific, ferulic acid is metabolized from 6&#x2019;&#x2019;&#x2019;-feruloyspinosin and 6&#x2019;&#x2019;-O-feruloylspinosin, para-coumaric acid is from 6&#x2019;&#x2019;&#x2019;-para-coumaroylspinosin, phaseic acid is from 6&#x2019;&#x2019;&#x2019;-(E)-phaseolspinosin, para-hydroxybenzoic acid is from 6&#x2019;&#x2019;&#x2019;-para-hydroxyl-benzoylspinosin, sinapic acid is from 6&#x2019;&#x2019;&#x2019;-sinapoylspinosin, vanillic acid is from 6&#x2019;&#x2019;&#x2019;-vanilloyl-spinosin, kaempferol is from kaemperol-3-O-rutinoside, genkwanin is from swertisin, naringenin is from 5,7-Dihydroxy-2-(4-hydroxyphenyl)6,8-bis[3,4,5-trihydroxy-6(hydroxymethyl)oxan-2-yl]-2,3dihydrochromen-4-one, apigenin is from spinosin and its analogues, and isovitexin and vicenin-2, jujubogenin is from jujuboside A and jujuboside B.</p>
</sec>
<sec id="s3_3">
<title>Anxiolytic Effect-Related Targets of Phytochemicals in SZJ Extract and Their Metabolites</title>
<p>In an integrated search of multiple databases, a total of 476 targets were found to be relevant with anxiety related disorders or diseases, of which 455 targets were acquired for 35 phytochemicals and 11 metabolites. All the interactions among the phytochemicals and targets are listed in <xref ref-type="supplementary-material" rid="ST1"><bold>Supplementary Table 1</bold></xref>. After the two clusters were compared and analyzed, 71 target intersects were further determined and are listed in <xref ref-type="table" rid="T4"><bold>Table 4</bold></xref>. Among the interactions of phytochemicals and metabolites on those 71 targets (data is not shown), (epi) catechin had the most interactions (degree =22), followed by kaempferol (degree =19), palmitic acid (degree =17), oleic acid (degree =15), betulinic acid (degree =14), apigenin (degree =14), zizyphusine (degree =12), and naringenin (degree =11), etc.</p>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>Information of anxiolytic effects related targets of SZJ extract.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Gene Symbol</th>
<th valign="top" align="center">Full Name</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">ACSL4</td>
<td valign="top" align="left">acyl-CoA synthetase long-chain family member 4</td>
</tr>
<tr>
<td valign="top" align="left">ADIPOQ</td>
<td valign="top" align="left">adiponectin, C1Q and collagen domain containing</td>
</tr>
<tr>
<td valign="top" align="left">ADRA2A</td>
<td valign="top" align="left">adrenoceptor alpha 2A</td>
</tr>
<tr>
<td valign="top" align="left">AKR1C1</td>
<td valign="top" align="left">aldo-keto reductase family 1 member C1</td>
</tr>
<tr>
<td valign="top" align="left">AKT1</td>
<td valign="top" align="left">AKT serine/threonine kinase 1</td>
</tr>
<tr>
<td valign="top" align="left">ALDH2</td>
<td valign="top" align="left">aldehyde dehydrogenase 2 family (mitochondrial)</td>
</tr>
<tr>
<td valign="top" align="left">ALDH5A1</td>
<td valign="top" align="left">aldehyde dehydrogenase 5 family member A1</td>
</tr>
<tr>
<td valign="top" align="left">ANG</td>
<td valign="top" align="left">angiogenin</td>
</tr>
<tr>
<td valign="top" align="left">APP</td>
<td valign="top" align="left">amyloid beta precursor protein</td>
</tr>
<tr>
<td valign="top" align="left">ATP1A1</td>
<td valign="top" align="left">ATPase Na+/K+ transporting subunit alpha 1</td>
</tr>
<tr>
<td valign="top" align="left">ATP1A3</td>
<td valign="top" align="left">ATPase Na+/K+ transporting subunit alpha 3</td>
</tr>
<tr>
<td valign="top" align="left">BCAT2</td>
<td valign="top" align="left">branched chain amino acid transaminase 2</td>
</tr>
<tr>
<td valign="top" align="left">BDNF</td>
<td valign="top" align="left">brain derived neurotrophic factor</td>
</tr>
<tr>
<td valign="top" align="left">CAT</td>
<td valign="top" align="left">catalase</td>
</tr>
<tr>
<td valign="top" align="left">CCL3</td>
<td valign="top" align="left">C-C motif chemokine ligand 3</td>
</tr>
<tr>
<td valign="top" align="left">CHRNA7</td>
<td valign="top" align="left">cholinergic receptor nicotinic alpha 7 subunit</td>
</tr>
<tr>
<td valign="top" align="left">CNR1</td>
<td valign="top" align="left">cannabinoid receptor 1</td>
</tr>
<tr>
<td valign="top" align="left">CNR2</td>
<td valign="top" align="left">cannabinoid receptor 2</td>
</tr>
<tr>
<td valign="top" align="left">COMT</td>
<td valign="top" align="left">catechol-O-methyltransferase</td>
</tr>
<tr>
<td valign="top" align="left">COX1</td>
<td valign="top" align="left">cytochrome c oxidase subunit I</td>
</tr>
<tr>
<td valign="top" align="left">COX2</td>
<td valign="top" align="left">cytochrome c oxidase subunit II</td>
</tr>
<tr>
<td valign="top" align="left">CREB1</td>
<td valign="top" align="left">cAMP responsive element binding protein 1</td>
</tr>
<tr>
<td valign="top" align="left">CTNNB1</td>
<td valign="top" align="left">catenin beta 1</td>
</tr>
<tr>
<td valign="top" align="left">CXCL8</td>
<td valign="top" align="left">C-X-C motif chemokine ligand 8</td>
</tr>
<tr>
<td valign="top" align="left">CYP2E1</td>
<td valign="top" align="left">cytochrome P450 family 2 subfamily E member 1</td>
</tr>
<tr>
<td valign="top" align="left">DNMT1</td>
<td valign="top" align="left">DNA methyltransferase 1</td>
</tr>
<tr>
<td valign="top" align="left">DRD2</td>
<td valign="top" align="left">dopamine receptor D2</td>
</tr>
<tr>
<td valign="top" align="left">DRD3</td>
<td valign="top" align="left">dopamine receptor D3</td>
</tr>
<tr>
<td valign="top" align="left">DRD4</td>
<td valign="top" align="left">dopamine receptor D4</td>
</tr>
<tr>
<td valign="top" align="left">EDN1</td>
<td valign="top" align="left">endothelin 1</td>
</tr>
<tr>
<td valign="top" align="left">ESR1</td>
<td valign="top" align="left">estrogen receptor 1</td>
</tr>
<tr>
<td valign="top" align="left">ESR2</td>
<td valign="top" align="left">estrogen receptor 2</td>
</tr>
<tr>
<td valign="top" align="left">GABRA1</td>
<td valign="top" align="left">gamma-aminobutyric acid type A receptor alpha1 subunit</td>
</tr>
<tr>
<td valign="top" align="left">GABRA2</td>
<td valign="top" align="left">gamma-aminobutyric acid type A receptor alpha2 subunit</td>
</tr>
<tr>
<td valign="top" align="left">GABRA3</td>
<td valign="top" align="left">gamma-aminobutyric acid type A receptor alpha3 subunit</td>
</tr>
<tr>
<td valign="top" align="left">GABRA6</td>
<td valign="top" align="left">gamma-aminobutyric acid type A receptor alpha6 subunit</td>
</tr>
<tr>
<td valign="top" align="left">GABRG2</td>
<td valign="top" align="left">gamma-aminobutyric acid type A receptor gamma2 subunit</td>
</tr>
<tr>
<td valign="top" align="left">GLO1</td>
<td valign="top" align="left">glyoxalase I</td>
</tr>
<tr>
<td valign="top" align="left">GM2A</td>
<td valign="top" align="left">GM2 ganglioside activator</td>
</tr>
<tr>
<td valign="top" align="left">GPER1</td>
<td valign="top" align="left">G protein-coupled estrogen receptor 1</td>
</tr>
<tr>
<td valign="top" align="left">GRIN2A</td>
<td valign="top" align="left">glutamate ionotropic receptor NMDA type subunit 2A</td>
</tr>
<tr>
<td valign="top" align="left">GSK3B</td>
<td valign="top" align="left">glycogen synthase kinase 3 beta</td>
</tr>
<tr>
<td valign="top" align="left">GSTP1</td>
<td valign="top" align="left">glutathione S-transferase pi 1</td>
</tr>
<tr>
<td valign="top" align="left">HSD11B2</td>
<td valign="top" align="left">hydroxysteroid 11-beta dehydrogenase 2</td>
</tr>
<tr>
<td valign="top" align="left">HTR1A</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 1A</td>
</tr>
<tr>
<td valign="top" align="left">HTR1B</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 1B</td>
</tr>
<tr>
<td valign="top" align="left">HTR1D</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 1D</td>
</tr>
<tr>
<td valign="top" align="left">HTR2A</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 2A</td>
</tr>
<tr>
<td valign="top" align="left">HTR2B</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 2B</td>
</tr>
<tr>
<td valign="top" align="left">HTR2C</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 2C</td>
</tr>
<tr>
<td valign="top" align="left">HTR3A</td>
<td valign="top" align="left">5-hydroxytryptamine receptor 3A</td>
</tr>
<tr>
<td valign="top" align="left">ICAM1</td>
<td valign="top" align="left">intercellular adhesion molecule 1</td>
</tr>
<tr>
<td valign="top" align="left">IL6</td>
<td valign="top" align="left">interleukin 6</td>
</tr>
<tr>
<td valign="top" align="left">INS</td>
<td valign="top" align="left">insulin</td>
</tr>
<tr>
<td valign="top" align="left">MAPK1</td>
<td valign="top" align="left">mitogen-activated protein kinase 1</td>
</tr>
<tr>
<td valign="top" align="left">MIF</td>
<td valign="top" align="left">macrophage migration inhibitory factor (glycosylation-inhibiting factor)</td>
</tr>
<tr>
<td valign="top" align="left">ND1</td>
<td valign="top" align="left">NADH dehydrogenase, subunit 1 (complex I)</td>
</tr>
<tr>
<td valign="top" align="left">NOS2</td>
<td valign="top" align="left">nitric oxide synthase 2</td>
</tr>
<tr>
<td valign="top" align="left">NR1I2</td>
<td valign="top" align="left">nuclear receptor subfamily 1 group I member 2</td>
</tr>
<tr>
<td valign="top" align="left">NR3C1</td>
<td valign="top" align="left">nuclear receptor subfamily 3 group C member 1</td>
</tr>
<tr>
<td valign="top" align="left">PAH</td>
<td valign="top" align="left">phenylalanine hydroxylase</td>
</tr>
<tr>
<td valign="top" align="left">PON1</td>
<td valign="top" align="left">paraoxonase 1</td>
</tr>
<tr>
<td valign="top" align="left">SCN1A</td>
<td valign="top" align="left">sodium voltage-gated channel alpha subunit 1</td>
</tr>
<tr>
<td valign="top" align="left">SHBG</td>
<td valign="top" align="left">sex hormone binding globulin</td>
</tr>
<tr>
<td valign="top" align="left">SIRT1</td>
<td valign="top" align="left">sirtuin 1</td>
</tr>
<tr>
<td valign="top" align="left">SOD1</td>
<td valign="top" align="left">superoxide dismutase 1, soluble</td>
</tr>
<tr>
<td valign="top" align="left">SQSTM1</td>
<td valign="top" align="left">sequestosome 1</td>
</tr>
<tr>
<td valign="top" align="left">TGFBR2</td>
<td valign="top" align="left">transforming growth factor beta receptor 2</td>
</tr>
<tr>
<td valign="top" align="left">TNF</td>
<td valign="top" align="left">tumor necrosis factor</td>
</tr>
<tr>
<td valign="top" align="left">TP53</td>
<td valign="top" align="left">tumor protein p53</td>
</tr>
<tr>
<td valign="top" align="left">TRPV1</td>
<td valign="top" align="left">transient receptor potential cation channel subfamily V member 1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>To screen out the core targets, PPI and MCODE cluster analysis was performed on 71 identified targets. As shown in <xref ref-type="fig" rid="f2"><bold>Figure 2</bold></xref>, 67 nodes plus 260 edges were obtained, in which the clustering coefficient is 0.564 and average number of neighbors is 7.761. With that, MCODE cluster analysis indicated 5 clusters. Specific data of target clusters were exported and are presented in <xref ref-type="table" rid="T5"><bold>Table 5</bold></xref>. As a result, 35 core targets were obtained from these 5 clusters, suggesting the core anxiolytic effect targets of SZJ extract. Notably, most of these targets are neuroactive ligand receptors including serotonin (5-HT) receptors (e.g., HTR1A, HTR1B, HTR2A, HTR2B, HTR2C, and HTR1D), GABA<sub>A</sub> receptors (e.g., GABRA1, GABRA2, GABRA3, GABRA6, and GABRG2), dopamine receptors (e.g., DRD2, DRD3, and DRD4), cannabinoid signaling (CNR1 and CNR2), and adrenergic (ADRA2A) and glutamate receptor (GRIN2A).</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>Protein-protein interaction (PPI) network of anxiolytic effects-related targets of SZJ. Cytoscape (Version 3.6.1) was applied to construct the interactions downloaded from the STRING (interaction score set as high confidence &gt;0.7). All the targets are represented by nodes, whereas the interactions between the targets are represented by edges. MCODE plug-in was applied to conduct cluster analysis. Different clusters are noted with different colors. The node size is proportional to its located cluster MCODE score.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g002.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table 5</label>
<caption>
<p>List of genes clusters information analyzed by MOCDE on the base of PPI data downloaded from the STRING.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cluster</th>
<th valign="top" align="center">Score (Density*#Nodes)</th>
<th valign="top" align="center">Nodes</th>
<th valign="top" align="center">Edges</th>
<th valign="top" align="center">Node IDs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">10.154</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">66</td>
<td valign="top" align="left">GPER1, ADRA2A, DRD2, CNR2, CNR1, HTR1A, HTR1B, APP, DRD4, HTR1D, DRD3, CXCL8</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">52</td>
<td valign="top" align="left">CREB1, AKT1, TNF, SIRT1, TP53, MAPK1, EDN1, ICAM1, ADIPOQ, IL6, ESR1, INS</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">3.333</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">10</td>
<td valign="top" align="left">GABRA2, GABRG2, GABRA6, GABRA3, GABRA1</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">HTR2C, HTR2A, HTR2B</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">1.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">COX1, COX2, ND1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<title>GO and KEGG Pathway Enrichment and Analysis</title>
<p>GO enrichment analysis was conducted on the 35 core targets by using DAVID. All the enriched GO terms are seen in <xref ref-type="supplementary-material" rid="ST2"><bold>Supplementary Table 2</bold></xref>. The top 10 significant terms in biological process, molecular function, and cell component categories are shown in <xref ref-type="fig" rid="f3"><bold>Figure 3</bold></xref>. The results demonstrated that GO terms were mainly concentrated in neurotransmitter receptors signaling, particularly GABA and serotonin receptor signaling. Functions of activating neurotransmitter receptors and ligand-gated ion channel <italic>via</italic> receptor complex, and regulating synaptic transmission were mainly involved. Cytoscape ClueGo plug-in was further applied to visualize the interaction network of biological process, as shown in <xref ref-type="fig" rid="f4"><bold>Figure 4</bold></xref>. All statistically significant biological processes were listed in <xref ref-type="supplementary-material" rid="ST3"><bold>Supplementary Table 3</bold></xref>.</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>Top 10 significantly enriched GO terms in biologic process (red), cellular components (green), and molecular function (blue) categories. The bubble diagram was made using JMP software 14.2.0 (SAS Institute Inc., USA). The bubble size is proportional to its involved targets percentage in the term.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>The interaction networks of enriched biological processes. ClueGO was applied to analysis procedure, and multiple color circles indicate that they are involved in multiple biological processes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g004.tif"/>
</fig>
<p>In addition, 35 identified core targets were imported to ClueGo for KEGG pathway enrichment, resulting in 14 statistically significant pathways. The targets-pathway network is shown in <xref ref-type="fig" rid="f5"><bold>Figure 5</bold></xref>, demonstrating that neuroactive ligand-receptor interaction is the most significant pathway with involvement of 18 targets, followed by serotonergic synapse pathway (8 targets), taste transduction pathway (7 targets), etc. Other nervous system related pathways including GABAergic synapse and retrograde endocannabinoid signaling, signaling transduction related pathways including TNF signaling pathway, and longevity regulating pathways were also significantly enriched. These results are consistent with the results from GO enrichment analysis. Taken together, these findings suggest that SZJ extract mainly exerts an anxiolytic effect <italic>via</italic> modulation of serotonergic and GABAergic systems.</p>
<fig id="f5" position="float">
<label>Figure 5</label>
<caption>
<p>Targets-pathway network associated with anxiolytic effects of SZJ extract. A cytoscape ClueGo plug-in was applied to enrich the pathways and construct the network.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g005.tif"/>
</fig>
<p>GABA<sub>A</sub> receptors in the central nervous system are known as the major targets for the first line treatment of anxiety (<xref ref-type="bibr" rid="B55">Poisbeau et al., 2018</xref>). GABA<sub>A</sub> receptors subunits, mainly including GABRA1, GABRA2, and GABRA3, have been reported to mediates anxiolysis (<xref ref-type="bibr" rid="B45">M&#xf6;hler, 2012</xref>). Similarly, preclinical studies have suggested that most 5-HT receptors subtypes participate in anxiety-like processes, and blocking or stimulating individual 5-HT receptor subtypes might cause the anxiolytic-like effect (<xref ref-type="bibr" rid="B89">&#x17b;mudzka et al., 2018</xref>). HTR1A, HTR1B, HTR2A, and HTR2B were commonly targeted in preclinical studies for the anxiety treatment (<xref ref-type="bibr" rid="B19">Graeff et al., 1996</xref>; <xref ref-type="bibr" rid="B12">Clinard et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Spiacci et al., 2016</xref>; <xref ref-type="bibr" rid="B14">Colangeli et al., 2019</xref>) as well as the anxiolytic-like studies of SZJ (<xref ref-type="bibr" rid="B75">Wang et al., 2010</xref>; <xref ref-type="bibr" rid="B38">Liu et al., 2015</xref>). Hence, among the potential targets acted by SZJ, GABRA1, GABRA2, GABRA3, HTR1A, HTR1B, HTR2A, and HTR2B were preferentially selected for further validation.</p>
</sec>
<sec id="s3_5">
<title>Effects of SZJ Extract on mRNA Expression of GABA<sub>A</sub> and 5-HT Receptor Subtypes</title>
<p>Based on the findings from system biology analysis, RT-qPCR was employed to evaluate the effects of SZJ extract on mRNA expression of GABRA1, GABRA2, GABRA3, HTR1A, HTR1B, HTR2A, and HTR2B. As shown in <xref ref-type="fig" rid="f6"><bold>Figure 6</bold></xref>, in the non-H<sub>2</sub>O<sub>2</sub> treated cells, GABA 100 &#x3bc;g/mL significantly enhanced the expression of GABRA1 (p&lt; 0.0001), GABRA2 (p&lt; 0.0001), and HTR1A (p&lt; 0.001) comparing with the control group, while it significantly decreased the expression of GABRA3 (p&lt; 0.01) and HTR2B (p&lt; 0.05). Similar as GABA, SZJ extract 250 &#x3bc;g/mL exhibited significant effect on enhancing expression of GABRA1 (p&lt; 0.001) and HTR1A (p&lt; 0.05). However, contrast to GABA group, obvious expression enhancement of GABRA3 (p&lt; 0.01) and HTR2B (p&lt; 0.0001) were observed at 250 &#x3bc;g/mL SZJ extract. These differences in regulating GABA<sub>A</sub> receptor subtypes following SZJ and GABA stimulations could help to explain the different mechanisms of anxiolytic effect of the two ingredients.</p>
<fig id="f6" position="float">
<label>Figure 6</label>
<caption>
<p>Effects of SZJ extract on mRNA gene expressions of different subtypes of GABA<sub>A</sub> and 5-HT receptors. GraphPad Prism 7.0 software was applied for statistical analysis and graphing. All data were expressed as mean &#xb1; SD, and a two-way ANOVA followed by Tukey&#x2019;s test was applied. Two-way ANOVA analysis results presented that, GABRA1, F (2, 12) =57.27: p &lt; 0.0001; GABRA2, F (2, 12) =112.50: p &lt; 0.0001; GABRA3, F (2, 12) =40.10: p &lt; 0.0001; HTR1A, F (2, 12)&#xa0;=677.80: p &lt; 0.0001; HTR2A, F (2, 12) =13.07: p = 0.0010; HTR1B, F (2, 12) =42.99: p &lt; 0.0001; HTR2B, F (2, 12) =151.50: p &lt; 0.0001. Post hoc Tukey&#x2019;s test results were represented by comparing with non-H<sub>2</sub>O<sub>2</sub> treated control group, <sup>*</sup>p &lt; 0.05, <sup>**</sup>p &lt; 0.01, <sup>***</sup>p &lt; 0.001 and <sup>****</sup>p &lt; 0.0001; compared with H<sub>2</sub>O<sub>2</sub> treated control group, <sup>###</sup>p &lt; 0.001 and <sup>####</sup>p &lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g006.tif"/>
</fig>
<p>Furthermore, because oxidative stress mechanisms have been well explored in anxiety disorders (<xref ref-type="bibr" rid="B5">Bouayed et al., 2009</xref>; <xref ref-type="bibr" rid="B59">Salim, 2017</xref>), the effects of SZJ extract on GABA<sub>A</sub> and 5-HT receptors were also evaluated in hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) induced oxidative stress condition. As a result, a remarkable increase (p&lt; 0.0001) in GABRA1, GABRA2, HTR1A, HTR1B, and HTR2A expression following 100 &#x3bc;M H<sub>2</sub>O<sub>2</sub> stimulation was observed. Currently, though the alteration of GABA<sub>A</sub> and 5-HT receptors under strong oxidative stimulation is unclear, our result in some extent suggested that overexpression of GABRA1, GABRA2, HTR1A, HTR1B, and HTR2A may be involved in oxidative stress-induced anxiety. Intriguingly, the sharp increase induced by H<sub>2</sub>O<sub>2</sub> in GABRA1, GABRA2, HTR1A, and HTR2A were significantly antagonized by both SZJ extract 250 &#x3bc;g/mL and GABA 100 &#x3bc;g/mL. Hence, inhibition of GABRA1, GABRA2, HTR1A, and HTR2A overexpression is also possibly involved in anxiolytic-like mechanisms of SZJ.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The identification of phytochemicals in herbal materials is a critical step during the process of system biology analysis. Herbal materials are often subjected to extraction, concentration, and/or purification, resulting in the phytochemical compositions alteration. The phytochemical data from current databases (e.g., TCMSP, <uri xlink:href="http://tcmspw.com/tcmsp.php">http://tcmspw.com/tcmsp.php</uri>; TCMID, <uri xlink:href="http://www.megabionet.org/tcmid/">http://www.megabionet.org/tcmid/</uri>) may not be used directly for system biology investigation. Additional methods for phytochemical identification, such as UPLC-Q-TOF/MS, should be a complementary tool to obtain more accurate results of phytochemical compositions (<xref ref-type="bibr" rid="B61">Shen et al., 2013</xref>). In current work, a series of flavonoid glycosides and saponins were identified from SZJ extract, in which the spinosin derivatives including 6&#x2019;&#x2019;&#x2019;-vanilloylspinosin, 6&#x2019;&#x2019;&#x2019;-para-hydroxylbenzoylspinosin, 6&#x2019;&#x2019;&#x2019;-sinapoylspinosin, 6&#x2019;&#x2019;&#x2019;-para-coumaroylspinosin, 6&#x2019;&#x2019;&#x2019;-feruloyspinosin, 6&#x2019;&#x2019;&#x2019;-(-)-phaseoylspinosin, and 6&#x2019;&#x2019;-O-feruloylspinosin are rare in other plant species. The studies on their bioactivities and effective targets have been so poorly reported that there is not enough data for system biology analysis. In addition, their chemical structures are complicated and contain multi-chiral centers that bring a great challenge to obtain the potential targets through reverse virtual fishing technique. Traditional system biology analysis would take ADME (absorption, distribution, metabolism, and excretion) screening strategy that may exclude these glycosides with low oral bioavailability and low drug-likeness (<xref ref-type="bibr" rid="B83">Yue et al., 2017a</xref>; <xref ref-type="bibr" rid="B84">Yue et al.,&#xa0;2017b</xref>). For instance, ginsenosides are the dominant phytochemicals in ginseng and are thought to be contributed to its multiple bioactivities (<xref ref-type="bibr" rid="B58">Ru et al., 2015</xref>; <xref ref-type="bibr" rid="B31">Kim et al., 2017</xref>). However, the above analysis strategy, i.e., ADME screening, would exclude the ginsenosides along with their contributions on efficacy when performing systematic research of ginseng. Therefore, such an analytical strategy is incomplete and not systematic. In fact, it has been well demonstrated that the metabolites of the ginsenosides are responsible for the specific bioactivities (<xref ref-type="bibr" rid="B9">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B32">Kim, 2018</xref>). Similarly, the chemoinformatics and pharmacoinformatics approach indicated that jujubogenin was the effective GABA<sub>A</sub> agonist, neither jujuboside A nor jujuboside B (<xref ref-type="bibr" rid="B11">Chen, 2009</xref>). Gut microbes play an important role in favoring phytochemicals transformation into metabolites endowed with biological activity (<xref ref-type="bibr" rid="B16">Dey, 2019</xref>). As a result, the strategy that involves the metabolites of glycosides in gastrointestinal environment (e.g., gut microbes) will be a more reasonable approach to understand the actual efficacy and mechanism of herbal materials in which the glycosides are considered as the main active components.</p>
<p>The GABA<sub>A</sub> receptors are chloride channels and are composed of several subunit classes (&#x3b1;, &#x3b2;, &#x3b3;, &#x3b4;, and &#x3f5;) (<xref ref-type="bibr" rid="B51">Olsen and Sieghart, 2008</xref>). GABAergic neurotransmission plays an important role in anxiety status. Previous studies have shown that deficit of GABA<sub>A</sub> receptors and reduction of GABA transmission were observed in people with anxiety-like symptoms (<xref ref-type="bibr" rid="B25">Horowski and Dorow, 2002</xref>; <xref ref-type="bibr" rid="B49">Nutt and Malizia, 2004</xref>; <xref ref-type="bibr" rid="B24">Hasler et al., 2008</xref>). In contrast, positive modulation of GABA<sub>A</sub> receptors and enhancement of GABA transmission have shown anxiolytic effects. Classic benzodiazepines reduce anxiety by interacting with the GABA<sub>A</sub> receptors <italic>via</italic> the benzodiazepine binding site, which is present at the interface of &#x3b1;1, &#x3b1;2, &#x3b1;3, or &#x3b1;5 subunits and &#x3b3; subunit of GABA<sub>A</sub> receptors (<xref ref-type="bibr" rid="B45">M&#xf6;hler, 2012</xref>). Other classes of compounds, GABA, barbiturates, and alcohol also could act at different benzodiazepine binding sites to increase the opening of the chloride channel resulting in enhancement of inhibitory synaptic transmission (<xref ref-type="bibr" rid="B23">Harris, 1990</xref>; <xref ref-type="bibr" rid="B60">Schousboe and Redburn, 1995</xref>). The results of our system biology study suggested the GABA<sub>A</sub> receptors signaling is a significant pathway involving in anxiolytic effect of SZJ. In fact, pharmacologic study has found that spinosin, a major C-glycoside flavonoid in SZJ, exerted anxiolytic-like effects <italic>via</italic> modulation of GABA<sub>A</sub> and 5-HT receptors (<xref ref-type="bibr" rid="B38">Liu et al., 2015</xref>). Similarly, 6&#x2032;&#x2032;&#x2032;-feruloylspinosin and spinosin have been reported to significantly enhance the expression of GABRA1 and GABRA5 mRNA in rat hippocampal neurons (<xref ref-type="bibr" rid="B56">Qiao et al., 2016</xref>). In addition, it has been found that stimulation of jujuboside A at 50 &#xb5;g/mL could increase the mRNA transcription levels of GABRA1, GABRA5, GABRB1, and GABRB2 in hippocampal neurons (<xref ref-type="bibr" rid="B82">You et al., 2010</xref>; <xref ref-type="bibr" rid="B76">Wang et al., 2015</xref>); however, long time stimulation of jujuboside A at a high dose of 100 &#xb5;g/mL result in the decrease of GABRA1 and GABRB2 mRNAs expression (<xref ref-type="bibr" rid="B82">You et al., 2010</xref>). These results suggested a two-way modulatory effect of SZJ on GABRA1 and other GABA<sub>A</sub> receptors. Such benefits were similar to what we found in this work, that is, SZJ extract enhanced mRNA level of GABRA1 in non-H<sub>2</sub>O<sub>2</sub> treated SH-SY5Y cells, but inhibited the H<sub>2</sub>O<sub>2</sub>-induced overexpression of GABRA1. Therefore, combining with the results from literatures and our results, it was suggested that SZJ exhibited anxiolytic effects through modulating GABA<sub>A</sub> receptors, in which a two-way modulation of GABRA1 may play an important role.</p>
<p>It was well established that the alteration of various behaviors in anxiety disorders including appetite, mood, sleep, and cognitive function have been linked to the serotonergic system (<xref ref-type="bibr" rid="B40">Liu Y. et al., 2018</xref>; <xref ref-type="bibr" rid="B41">Liu et al., 2019</xref>). Serotonin receptors are prevalent throughout the nervous system and the periphery, and they potentially control the serotonergic neurotransmission throughout the brain and neuronal activity to alleviate neuropsychiatric disorders (<xref ref-type="bibr" rid="B50">Okazawa et al., 1999</xref>). Generally, the activation of HTR1A, HTR2A receptors can produce anxiolytic effects, whereas inactivation of them increases anxiety-like behaviors (<xref ref-type="bibr" rid="B12">Clinard et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Spiacci et al., 2016</xref>). Involvement of other 5-HT receptors including HTR1B, HTR1B, and HTR2C in the mechanisms of anxiety have also been recognized (<xref ref-type="bibr" rid="B19">Graeff et al., 1996</xref>; <xref ref-type="bibr" rid="B20">Griebel et al., 1997</xref>; <xref ref-type="bibr" rid="B43">McCorvy and Roth, 2015</xref>). Similarly, our system biology analysis found that the serotonergic synapse pathway was dominant in anxiolytic effects mechanism of SZJ extract, in which different subtypes of 5-HT receptors were involved. Notably, as the same effect on GABRA1, SZJ extract also showed a two-way modulation on HTR1A and HTR2A in our RT-qPCR test. Genetic studies in animal models have suggested that anxiety-like behavior can increase when the HTR1A function is eliminated or overexpressed (<xref ref-type="bibr" rid="B52">Overstreet et al., 2003</xref>). Hence, these results suggested the involvement of modulating serotonergic synapse pathway, specifically two-way modulation of HTR1A and HTR2A in anxiolytic effects of SZJ.</p>
<p>In addition, the cannabinoid receptors (CNR) are extensively expressed in areas of the nervous system and have been found closely associated with anxiety behavior (<xref ref-type="bibr" rid="B2">Akirav, 2011</xref>). It has been well illustrated that endocannabinoid (eCB) reduces the serotonin release in the central nervous system and increases the expression and function of HTR1A in the hippocampus <italic>via</italic> the activation of CNR1 (<xref ref-type="bibr" rid="B21">Haj-Dahmane and Shen, 2011</xref>; <xref ref-type="bibr" rid="B53">Patel et al., 2017</xref>). Beyond CNR1, eCB system could exert actions on other targets including CNR2, transient receptor potential vanilloid receptor type 1 (TRPV1), or cyclooxygenase-2 (COX2) to participate in improvement of anxiety (<xref ref-type="bibr" rid="B53">Patel et al., 2017</xref>). In addition, cyclic AMP-responsive element-binding protein (CREB) has been suggested to be crucial for the role of HTR1A in modulating anxiety-related behaviors <italic>via</italic> mediating hippoacampus structural plasticity (<xref ref-type="bibr" rid="B86">Zhang J. et al., 2016</xref>). Intriguingly, this systematic analysis work showed phytochemicals in SZJ extracts potentially act on the above mentioned targets including CNR1, CNR2, TRPV1, COX2, and CREB. These results, to some extent, suggested that the mechanism of action of SZJ in anti-anxiety may also involve those pathways/targets that indirectly modulate eCB and serotoninergic systems. More attention needs to be paid to those targets/pathways in further experimental studies on anxiolytic effects of SZJ.</p>
<p>The phytochemicals in herbal medicines are the substantial basis for their pharmacologic actions. Those phytochemicals with good bioactivity and high content are considered to be the chemical markers in quality control of the herbal medicines. Jujuboside A and spinosin are used to quality markers of SZJ crude drug in Chinese Pharmacopoeia (Edition 2020). Combining the results from literatures reports (<xref ref-type="bibr" rid="B22">Han et al., 2009</xref>; <xref ref-type="bibr" rid="B1">Abdoul-Azize, 2016</xref>) and our results, the modulations of GABAergic and serotoninergic systems seem the major mechanisms of SZJ exerting anxiolytic effects, as well as the traditional efficacy of nourishing heart and calming mind. Based on that, we abstracted the phytochemicals-targets-pathway sub-networks of GABAergic and serotoninergic synapse pathways. As shown in <xref ref-type="fig" rid="f7"><bold>Figure 7</bold></xref>, it demonstrated that metabolites of C-glycosides (spinosin, etc.) and jujubosides (jujuboside A, etc.) including apigenin, kaempferol, naringenin, genkwanin, and jujubogenin were involved in modulation of GABAergic and serotoninergic synapse pathways. The result provides the extra evidence to support that C-glycosides and jujubosides are responsible for the anxiolytic effects of SZJ, and they support jujuboside A and spinosin as chemical markers for quality control of SZJ and its preparations. Beyond the C-glycosides and jujubosides, the involvements of triterpenic acid (e.g., betulinic acid) and alkaloid (zizyphusine) were also observed in modulation of GABAergic and serotoninergic synapse pathways. Specifically, betulinic acid is a function of the modulating GABAergic system <italic>via</italic> multiple subtypes of GABA<sub>A</sub> receptors, whereas zizyphusine is a function of the modulating serotoninergic system <italic>via</italic> multiple subtypes of 5-HT receptors. Notably, it has been reported that zizyphusine was identified as one of the principal components in SZJ by principal component analysis (<xref ref-type="bibr" rid="B68">Sun et al., 2014</xref>). And according to records in TCMIP, zizyphusine is exclusively derived from <italic>Ziziphus jujube</italic> (fruit or seeds), and its bioavailability and druglikeness is much better than C-glycosides and jujubosides. These findings recommend that the involvement of zizyphusine in quality control of SZJ extract and pharmacologic actions in anxiolytic effect is worth investigating in the future. Because the pharmacologic study of zizyphusine is poor at present, more attention could be paid to research and development of zizyphusine as a potential natural anti-anxiety drug.</p>
<fig id="f7" position="float">
<label>Figure 7</label>
<caption>
<p>Abstracted phytochemicals-targets-pathway sub-networks of serotoninergic synapse <bold>(A)</bold> and GABAergic pathways <bold>(B)</bold>. Cytoscape (Version 3.6.1) was applied to construct the sub-networks.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fphar-11-01320-g007.tif"/>
</fig>
<p>There are some limitations of our current research. First, we did not conduct the behavioral test to confirm the anxiolytic-like effect of SZJ. Such benefit of SZJ was concluded on the base of previous pharmacodynamic studies, as well as clinical practice experience of traditional medicine. Our <italic>in vitro</italic> mRNA expression evaluation of GABA<sub>A</sub> and 5-HT receptors only used a single concentration of SZJ extract, which corresponds to approximately 90% cell viability in CellTiter-Glo assay. Leveraging the integrated approach of system biology, UPLC-Q-TOF/MS and RT-qPCR, present work contributed to the illustration of potential mechanism of action involved in the anxiolytic-like effect of SZJ. However, further in-depth preclinical studies are warranted to verify the results obtained from the current analysis.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In conclusion, our results systematically demonstrated that anxiolytic mechanisms of SZJ mainly involved the regulation of serotonergic and GABAergic synapse pathways, in which the two-way modulation of GABRA1, HTR1A, and HTR2A may play an important role. In addition to C-glycosides and jujubosides, triterpenic acids and zizyphusine identified in SZJ also contributed to the regulation of serotonergic and GABAergic synapse pathways. This study provides directional predictions of anxiolytic mechanism of SZJ and insights to improve the quality control of standard extraction.</p>
</sec>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, to any qualified researcher.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>LC, XZ, and JK designed the study. XZ, YZ, LZ, and BL performed the experiments. LC, CH, and JD prepared the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The Nutrilite Health Institute fully funded this study.</p>
</sec>
<sec id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Dr. Zhou Yang from Shanghai Standard Technology Co., Ltd. for chemical composition analysis and identification in this paper.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2020.01320/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2020.01320/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.xlsx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet">
<label>Supplementary Table 1</label>
<caption>
<p>Acquired targets for identified phytochemicals in SZJ extract.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_2.xlsx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet">
<label>Supplementary Table 2</label>
<caption>
<p>Enrichment results of GO terms including biological process, cellular component, and molecular function. DAVID bioinformatics platform (version 6.8) was used for analysis.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_3.xls" id="ST3" mimetype="application/vnd.ms-excel">
<label>Supplementary Table 3</label>
<caption>
<p>The information of enriched biological processes.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_4.xlsx" id="ST4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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