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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">856784</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.856784</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>Potent Inhibition of Human Cytochrome P450 3A4 by Biflavone Components from Ginkgo Biloba and Selaginella Tamariscina</article-title>
<alt-title alt-title-type="left-running-head">Wang et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Inhibition of CYP3A4 by Biflavones</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/782912/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pan</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Xiang-Ge</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Cheng-Peng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/612110/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/766167/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ning</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1638861/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lv</surname>
<given-names>Xia</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Qian-Hui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Rui-Xuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Hou-Li</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/432814/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Xiao-Chi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1547193/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Tong-Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Medicine &#x26; Holistic Integrative Medicine</institution>, <institution>Nanjing University of Chinese Medicine</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Pharmacy</institution>, <institution>College of Integrative Medicine</institution>, <institution>Dalian Medical University</institution>, <addr-line>Dalian</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Second Affiliated Hospital</institution>, <institution>Dalian Medical University</institution>, <addr-line>Dalian</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>School of Chemistry and Chemical Engineering</institution>, <institution>Henan Normal University</institution>, <addr-line>Xinxiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/39319/overview">David E. Stec</ext-link>, University of Mississippi Medical Center, United&#x20;States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/408955/overview">Giovanna Di Nardo</ext-link>, University of Turin, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/431646/overview">Dmitri R. Davydov</ext-link>, Washington State University, United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Jing Ning, <email>ningjing0626@163.com</email>; Hou-Li Zhang, <email>houlizh@163.com</email>; Tong-Hui Ma, <email>matonghui@njucm.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this&#x20;work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Drug Metabolism and Transport, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>856784</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Wang, Shi, Feng, Pan, Tian, Sun, Wang, Ning, Lv, Wang, Yuan, Guan, Zhang, Ma and Ma.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang, Shi, Feng, Pan, Tian, Sun, Wang, Ning, Lv, Wang, Yuan, Guan, Zhang, Ma and Ma</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>CYP3A4-mediated Phase I biotransformation is the rate-limiting step of elimination for many commonly used clinically agents. The modulatory effects of herbal medicines on CYP3A4 activity are one of the risk factors affecting the safe use of drug and herbal medicine. In the present study, the inhibitory effects of nearly hundred kinds of herbal medicines against CYP3A4 were evaluated based on a visual high-throughput screening method. Furthermore, biflavone components including bilobetin (7-demethylginkgetin, DGK), ginkgetin (GK), isoginkgetin (IGK), and amentoflavone (AMF) were identified as the main inhibitory components of <italic>Ginkgo biloba</italic> L. (GB) and <italic>Selaginella tamariscina</italic> (P. Beauv.) Spring (ST), which displayed very strong inhibitory effects toward CYP3A4. The inhibitory effects of these biflavones on clinical drugs that mainly undergo CYP3A4-dependent metabolism were evaluated. The <italic>IC</italic>
<sub>50</sub> of GK toward tamoxifen, gefitinib and ticagrelor were found to be of 0.478&#x20;&#xb1; 0.003, 0.869&#x20;&#xb1; 0.001, and 1.61&#x20;&#xb1; 0.039&#xa0;&#x3bc;M, respectively. These results suggest the potential pharmacokinetic interactions between the identified biflavones and clinical drugs undergoing CYP3A4-mediated biotransformation. The obtained information is important for guiding the rational use of herbal medicine in combination with synthetic pharmaceuticals.</p>
</abstract>
<kwd-group>
<kwd>cytochrome P450 3A4</kwd>
<kwd>herbal-drug interaction</kwd>
<kwd>biflavone</kwd>
<kwd>metabolism interaction</kwd>
<kwd>inhibition mechanism</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s2">
<title>Introduction</title>
<p>Cytochrome P450 (CYP) enzymes are a large class of heme-thiolate protein superfamily serving the key enzymes in the first-pass metabolism of many foreign substances in humans (<xref ref-type="bibr" rid="B10">Krishna and Shekar, 2005</xref>; <xref ref-type="bibr" rid="B15">Omura et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B19">Song et&#x20;al., 2021</xref>). Among multiple CYP isoforms, CYP3A4 is mainly expressed in the liver and intestines of adult human, and has a wide substrate spectrum. CYP3A4 participates in the metabolic clearance of more than 50% of commonly used clinical drugs, including tyrosine kinase inhibitors, dihydropyridine calcium antagonists, benzodiazepines sedative-hypnotics, and statins HMG-CoA reductase inhibitors (<xref ref-type="bibr" rid="B14">Niwa et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B22">van Waterschoot and Schinkel, 2011</xref>). Therefore, CYP3A4 is the key enzyme in the metabolism of many commonly used drugs. It is therefore regarded as one of the most important metabolic enzymes mediating the Phase I biotransformation.</p>
<p>Drugs mainly undergoing CYP3A4 metabolism are more susceptible to adverse drug reactions caused by drug-drug interaction with co-administered pharmaceuticals, and the inhibitory effect of herbal medicines on CYP3A4 can be one of risk factors affecting the safe use of drug and herbal medicine combinations (<xref ref-type="bibr" rid="B5">Fugh-Berman, 2000</xref>; <xref ref-type="bibr" rid="B16">Parvez and Rishi, 2019</xref>). The components of herbal medicine are complex and highly structurally diverse. Meanwhile, the information on the chemical components and metabolic behavior of herbal medicine is still insufficient (<xref ref-type="bibr" rid="B18">Singh and Zhao, 2017</xref>). These factors have brought great challenges to the evaluation and identification of the main inhibitory components of herbal medicine, hindering the pace of research on the inhibition mechanism of herbal medicine.</p>
<p>N-ethyl-1,8-naphthalimide (NEN) is a CYP3A4-specific fluorescent probe developed by our group (<xref ref-type="bibr" rid="B13">Ning et&#x20;al., 2019</xref>). Hydroxylation at C-4 of NEN could trigger &#x201c;turn-on&#x201d; fluorescence response. NEN displayed a high specificity toward CYP3A4 over CYP3A5. Furthermore, the C4-hydroxylation of NEN in human liver microsomes can be strongly inhibited by CYP3cide, which is a specific inhibitor of CYP3A4. With ideal selectivity and sensitivity, NEN has been applied to the image of CYP3A4 in complex biological systems (<xref ref-type="bibr" rid="B13">Ning et&#x20;al., 2019</xref>).</p>
<p>In the present study, we employed rapid the screening of the inhibitory action of herbal medicines against CYP3A4 based on a visual high-throughput screening method using NEN. Our results indicate that <italic>Ginkgo biloba</italic> L. (GB) and <italic>Selaginella tamariscina</italic> (P. Beauv.) Spring (ST) display the strongest inhibitory effects toward CYP3A4, and four biflavones were identified as the main inhibitory components of these herbal medicines. Subsequently, the inhibitory effects of these biflavones on clinical drugs mainly undergoing CYP3A4-dependent metabolism were evaluated. Results of these studies suggest the potential interaction between these biflavones and clinical&#x20;drugs.</p>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>Materials and Methods</title>
<sec id="s3-1">
<title>Reagents and Enzymes</title>
<p>The prepared slices of Chinese crude medicines were purchased from Beijing Tongren Tang Co., Ltd. (Dalian, China). Ginkgetin, isoginkgetin, bilobetin, and amentoflavone were purchased from Herbest Biotechnology Co., Ltd. (Baoji, China). N-ethyl-1,8-naphthalimide (NEN) was synthesized by our lab, and was fully characterized by NMR and MS techniques. Midazolam, NADPNa<sub>2</sub>, glucose-6-phosphate dehydrogenase, and D-glucose-6-phosphate (G-6-P) were obtained from Sigma-Aldrich (St. Louis, MO, United&#x20;States). The pooled human liver microsomes (HLM) were purchased from Bioreclamation IVT (MD, United&#x20;States).</p>
</sec>
<sec id="s3-2">
<title>Preparation of Herbal Extracts</title>
<p>Medical materials were ground to coarse powder, and then immersed into 10 volumes of 95% ethanol. Subsequently, the powdered materials were extracted twice with ultrasound (600&#xa0;W) for 30&#xa0;min. The filtered extracts were enriched by a rotary vacuum evaporator. The extracts were dissolved in DMSO as the stock solution (20&#xa0;mg/ml) for the subsequent.</p>
</sec>
<sec id="s3-3">
<title>Inhibition Assays of NEN 4-Hydroxylation</title>
<p>The primary incubation mixture contains HLM, potassium phosphate buffer (pH 7.4, 100&#xa0;mM), G-6-P (10&#xa0;mM), G-6-P dehydrogenase (1&#xa0;U/ml), MgCl<sub>2</sub> (4&#xa0;mM), NEN (50&#xa0;&#xb5;M), extracts of herbal medicine (20&#xa0;&#xb5;g/ml), or components. The incubation duration and HLM protein concentrations were 30&#xa0;min and 0.05&#xa0;mg/ml, respectively. The reaction was initiated by the addition of NADP<sup>&#x2b;</sup> and terminated by the addition of 100&#xa0;&#xb5;L ice-cold acetonitrile (ACN). NEN 4-hydroxylation were utilized as the probe reaction for CYP3A4, and fluorescence image of 96-well microplates were measured by a fluorescent image analyzer (GE Amersham Typhoon, Sweden) under the excitation wavelength of 488&#xa0;nm (<italic>E</italic>
<sub>m</sub>: 570&#x20;&#xb1; 15&#xa0;nm). The formation of NEHN was evaluated by the quantitative analysis of fluorescence signal for individual wells of microplates using the equipment supporting software. The percentage residual activity was calculated from percentage relative value of NEHN formation&#x20;rate.</p>
</sec>
<sec id="s3-4">
<title>Identification of the Inhibitory Components of Herbal Medicines</title>
<p>The chemical fingerprints of <italic>Ginkgo biloba</italic> L. (GB) and <italic>Selaginella tamariscina</italic> (P. Beauv.) Spring (ST) were analyzed based on UPLC with a photodiode array detector.</p>
<p>Fractions were collected with an Acquity UPLC system (Waters, Milford, MA, United&#x20;States) equipped with a photodiode array detector (2998), an auto sampler, a quaternary gradient pump, and a column compartment. An AQCUITY UPLC HSS C18 (100&#xa0;mm &#xd7; 2.1&#xa0;mm, 1.8&#xa0;&#x3bc;m, Waters) analytical column was used and kept at 30&#xb0;C. The mobile phase consisted of 0.3% trifluoroacetic acid in water (A) and Methanol (B). The following gradient conditions was used: 0.0&#x2013;5.0&#xa0;min, 85% A, 5.0&#x2013;38.0&#xa0;min, 85&#x2013;20% A, 38.0&#x2013;41.00&#xa0;min, 20% A, 41.0&#x2013;44.0&#xa0;min, 20&#x2013;85% A, 44.0&#x2013;47.0&#xa0;min, 85% A for analysis of GB extract; 0.0&#x2013;3.0&#xa0;min, 65% A, 3.0&#x2013;10.0&#xa0;min, 65%&#x2013;10% A, 10.0&#x2013;15.00&#xa0;min, 10% A, 15.0&#x2013;18.0&#xa0;min, 10%&#x2013;65% A, 18.0&#x2013;20.0&#xa0;min, 65% A for analysis of ST extract. The precision of the fingerprinting method was previously confirmed by comparison of the HPLC spectrum mainly considering the relative retention time and peak area. Then, the LC fractions of crude extract (20&#xa0;mg/ml, 10&#xa0;&#x3bc;L) were collected consecutively at 30 or 60&#xa0;s intervals, where the flow rate was set at 0.3&#xa0;ml/min.</p>
<p>All LC fractions were dried <italic>in vacuum</italic>, and redissolved in DMSO. The fractions were evaluated for their activity moderating effect for CYP3A4 based on the high-throughput screening method. Then, the target fractions underwent further preparation and purification by semi-preparative&#x20;HPLC.</p>
</sec>
<sec id="s3-5">
<title>Inhibition Kinetic Characterization</title>
<p>Varying concentrations of DGK, GK, IGK, and AMF incubated for 30&#xa0;min with varying concentrations of NEN (15&#x2013;150&#xa0;&#xb5;M). The high-throughput screening assay was performed, and the inhibition curve was fitted with GraphPad Prism (Version 8.0). The inhibition type was confirmed based on the R square of the following four equations and the Dixon and Lineweaver&#x2013;Burk plots. The inhibition constant (<italic>K</italic>
<sub>i</sub>) values were determined using the equations for competitive inhibition (<xref ref-type="disp-formula" rid="e1">Eq. 1</xref>), noncompetitive inhibition (<xref ref-type="disp-formula" rid="e2">Eq. 2</xref>), uncompetitive inhibition (<xref ref-type="disp-formula" rid="e3">Eq. 3</xref>), and mixed inhibition (<xref ref-type="disp-formula" rid="e4">Eq. 4</xref>).<disp-formula id="e1">
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</mml:math>
<label>(3)</label>
</disp-formula>
<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
<mml:mi>v</mml:mi>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>V</mml:mi>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>a</mml:mi>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mi>S</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>m</mml:mi>
</mml:msub>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2b;</mml:mo>
<mml:mfrac>
<mml:mi>I</mml:mi>
<mml:mrow>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2b;</mml:mo>
<mml:mi>S</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>&#x2b;</mml:mo>
<mml:mrow>
<mml:mi>I</mml:mi>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mi>&#x3b1;</mml:mi>
<mml:msub>
<mml:mi>K</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
</mml:mrow>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
</sec>
<sec id="s3-6">
<title>Inhibition Assays of Clinical Drugs</title>
<p>Varying concentrations of DGK, GK, IGK, and AMF incubated for 30&#xa0;min with gefitinib (10&#xa0;&#x3bc;M), tamoxifen (20&#xa0;&#x3bc;M), ticagrelor (30&#xa0;&#x3bc;M), respectively (<xref ref-type="bibr" rid="B25">Wang et&#x20;al., 2020</xref>). The ExionLC AD HPLC system consisted of an autosampler, a quaternary delivery system and a degasser. The chromatograph was equipped with a Luna Omega PS C18 (2.1 &#xd7; 100&#xa0;mm, 3&#xa0;&#x3bc;m) analytical column, and the mobile phase consisted of 0.1% formic acid aqueous solution (A) and ACN (B), and were conducted with a 0.30&#xa0;ml/min flow rate as follow for the gradient program: 0&#x2013;1.5&#xa0;min (10&#x2013;10% B), 1.5&#x2013;3.0&#xa0;min (10&#x2013;45% B), 3.0&#x2013;5.0&#xa0;min (45&#x2013;90% B). An AB MDS Sciex QTRAP 5500 Mass Spectrometer equipped with an ESI source was used to analyze the target substances. The positive mode was used with N-demethylated tamoxifen (358.0&#x2192;58.0) and defluorinated gefitinib (445.0&#x2192;128.0). The relative parameters were set as follows: ion spray voltage, 5500&#xa0;V; temperature, 550&#xb0;C; curtain gas (CUR) flow, 35&#xa0;L/min; gas1 and gas2 (nitrogen), 45 and 55 psi. The negative mode was used with dehydroxyethoxylated ticagrelor (477.2&#x2192;361.1). The relative parameters were set as follows: ion spray voltage, -4500 V; temperature, 550&#xb0;C; curtain gas flow, 35&#xa0;L/min; gas1 and gas2, 50 and 50 psi. For other parameters, please refer to <xref ref-type="sec" rid="s10">Supplementary Table S1</xref> in the supplementary&#x20;data.</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<sec id="s4-1">
<title>Inhibition Screening of Herbal Medicine Extracts Toward CYP3A4</title>
<p>The inhibitory effects of 93 herbal medicines toward CYP3A4 were preliminary evaluated using the high-throughput screening system constructed with CYP3A4 selective fluorescent probe NEN (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). Inhibition of CYP3A4 by herbal medicine extracts was determined based of their effect on the intensity of fluorescence at 570&#x20;&#xb1; 15&#xa0;nm that was excited at 488&#xa0;nm. Visual observation of the fluorescence images of the multi-well plates reveals different degree of modulatory effect of herbal medicines toward CYP3A4 activity. <italic>Ginkgo biloba</italic> L. (GB, F2) and <italic>Selaginella tamariscina</italic> (P. Beauv.) Spring (ST, D6) exhibited ultra-strong inhibitory effects toward CYP3A4 resulting in virtual elimination of the fluorescence signal in the corresponding wells of the 96-wells microplate. Quantitative analysis of the inhibitory effects of herbal medicine towards CYP3A4 demonstrate that the residual activities of CYP3A4 after treatment with the extracts of GB and ST were 6.3 and 5.0%, respectively (<xref ref-type="sec" rid="s10">Supplementary Table S2</xref>). The quantitative results were consistent with the visually observed trend of the modulatory effects toward CYP3A4 activity. Additionally, three herbal medicine extracts exhibited relatively strong inhibitory effects towards CYP3A4 with residual activity less than or equal to 50%, namely <italic>Tribulus terrestris</italic> L. (D2), <italic>Areca catechu</italic> L. (B10), and <italic>Fissistigma glaucescens</italic> (Hance) Merr.&#x20;(F3).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>High-throughput inhibition screening of inhibitory effects of herbal medicine towards CYP3A4. <bold>(A)</bold> Inhibition of CYP3A4 by herbal medicine extracts was determined based of their effect on the intensity of fluorescence at 570&#x20;&#xb1; 15&#xa0;nm (&#x3bb;<sub>ex</sub>: 488&#xa0;nm, &#x3bb;<sub>em</sub>: 570&#x20;&#xb1; 15&#xa0;nm, F12, G12, and H12 are control samples treated with solvent DMSO. <bold>(B)</bold> Quantitative analyses of inhibitory effects of herbal medicine towards CYP3A4. The residual activity was calculated by the volume ratio of herbal medicine and control samples (F12, G12, and H12).</p>
</caption>
<graphic xlink:href="fphar-13-856784-g001.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>Identification of the Inhibitory Components of Herbal Medicine</title>
<p>We attempted to reveal the inhibitory components of GB and ST since they exhibited strong inhibitory effect towards CYP3A4. However, the complexity and structural diversity of the two herbal medicines are very high, especially GB. In the present study, a combination of chemical fingerprinting-guided LC fraction collection and screening of the inhibitory potential was used to identify the inhibitory components of herbal medicine. The LC fractions of GB and ST were collected consecutively at appropriate time intervals (30 or 60&#xa0;s) based on the reliable LC method which was confirmed by reproducible relative retention time of the main components of herbal medicine (RSD &#x3c; 3%). Subsequently, the inhibitory components of GB and ST toward CYP3A4 were successfully identified by bioassay guided LC fractions studies utilizing high-throughput visualization screening. For GB, three inhibitory components were picked out from a comparison of the UPLC-UV fingerprint with the profile of CYP3A4 inhibition (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>). Then, three key components of GB were prepared by bioassay-guided LC fractionation and identified as bilobetin (7-demethylginkgetin, DGK), ginkgetin (GK), and isoginkgetin (IGK), respectively, according to the comparison of the LC retention times, spectral data, and the mass data of isolated compounds and authentic standards (<xref ref-type="bibr" rid="B24">Wang et&#x20;al., 2015</xref>). Amentoflavone (AMF), meanwhile, was identified as the main component contributing to the strong inhibitory effect of ST (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Identification the inhibitory components toward CYP3A4 in herbal medicines. LC-UV fingerprint of GB <bold>(A)</bold> and ST <bold>(C)</bold> extract, and the corresponding CYP3A4 inhibition profile of LC fractions <bold>(B, D)</bold>.</p>
</caption>
<graphic xlink:href="fphar-13-856784-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Identification and characterization of inhibitory components with potent CYP3A4 inhibitory effects in GB and ST.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Peak no.</th>
<th align="center">t<sub>R</sub> (min)</th>
<th align="center">Pseudo molecular ion [M &#x2b; H]<sup>&#x2b;</sup>
</th>
<th align="center">Product ions (ESI<sup>&#x2b;</sup>)</th>
<th align="center">MW</th>
<th align="center">Formula</th>
<th align="center">Identification</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">1</td>
<td rowspan="6" align="char" char=".">24.8</td>
<td rowspan="6" align="char" char=".">553.1119</td>
<td align="left">553 [M &#x2b; H]<sup>&#x2b;</sup>
</td>
<td rowspan="6" align="char" char=".">552</td>
<td rowspan="6" align="center">C<sub>31</sub>H<sub>20</sub>O<sub>10</sub>
</td>
<td rowspan="6" align="center">DGK</td>
</tr>
<tr>
<td align="left">521 [M &#x2b; H-CH<sub>3</sub>OH]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">403 [M &#x2b; H-C<sub>8</sub>H<sub>6</sub>O-CH<sub>3</sub>OH]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">297 [M &#x2b; H-C<sub>8</sub>H<sub>6</sub>O-C<sub>2</sub>H<sub>2</sub>O-C<sub>3</sub>O<sub>2</sub>-CO]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">153 [C<sub>7</sub>H<sub>4</sub>O<sub>4</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">121 [C<sub>7</sub>H<sub>6</sub>O<sub>2</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td rowspan="4" align="left">2</td>
<td rowspan="4" align="char" char=".">28.8</td>
<td rowspan="4" align="char" char=".">567.1286</td>
<td align="left">567 [M &#x2b; H]<sup>&#x2b;</sup>
</td>
<td rowspan="4" align="char" char=".">566</td>
<td rowspan="4" align="center">C<sub>32</sub>H<sub>22</sub>O<sub>10</sub>
</td>
<td rowspan="4" align="center">GK</td>
</tr>
<tr>
<td align="left">535 [M &#x2b; H-CH<sub>3</sub>OH]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">417 [M &#x2b; H-C<sub>8</sub>H<sub>6</sub>O-CH<sub>3</sub>OH]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">167 [C<sub>8</sub>H<sub>6</sub>O<sub>4</sub>]<sup>&#x2b;</sup>121 [C<sub>7</sub>H<sub>6</sub>O<sub>2</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td rowspan="4" align="left">3</td>
<td rowspan="4" align="char" char=".">29.3</td>
<td rowspan="4" align="char" char=".">567.1321</td>
<td align="left">567 [M &#x2b; H]<sup>&#x2b;</sup>
</td>
<td rowspan="4" align="char" char=".">566</td>
<td rowspan="4" align="center">C<sub>32</sub>H<sub>22</sub>O<sub>10</sub>
</td>
<td rowspan="4" align="center">IGK</td>
</tr>
<tr>
<td align="left">535 [M &#x2b; H-CH<sub>3</sub>OH]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">153 [C<sub>7</sub>H<sub>4</sub>O<sub>4</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">135 [C<sub>7</sub>H<sub>2</sub>O<sub>3</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td rowspan="5" align="left">4</td>
<td rowspan="5" align="char" char=".">7.9</td>
<td rowspan="5" align="char" char=".">539.0984</td>
<td align="left">539 [M &#x2b; H]<sup>&#x2b;</sup>
</td>
<td rowspan="5" align="char" char=".">538</td>
<td rowspan="5" align="center">C<sub>30</sub>H<sub>18</sub>O<sub>10</sub>
</td>
<td rowspan="5" align="center">AMF</td>
</tr>
<tr>
<td align="left">403 [M &#x2b; H-C<sub>8</sub>H<sub>6</sub>O-H<sub>2</sub>O]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">377 [M &#x2b; H-C<sub>9</sub>H<sub>6</sub>O<sub>3</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">153 [C<sub>7</sub>H<sub>4</sub>O<sub>4</sub>]<sup>&#x2b;</sup>
</td>
</tr>
<tr>
<td align="left">121 [C<sub>7</sub>H<sub>6</sub>O<sub>2</sub>]<sup>&#x2b;</sup>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-3">
<title>The Concentration-Dependent Inhibitory Effects of Biflavones Against CYP3A4</title>
<p>The concentration range of DGK, GK, IGK, and AMF was used to depict the inhibitory plot and characterize the inhibitory effects of four identified biflavones toward CYP3A4. As shown in <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>, all of the four biflavones can potently inhibit the formation of N-ethyl-4-hydroxy-1,8-naphthalimide (NEHN) in HLM in a dose-dependent manner. The <italic>IC</italic>
<sub>50</sub> values of DGK, GK, IGK, and AMF against CYP3A4 were evaluated as 0.162&#x20;&#xb1; 0.022, 0.106&#x20;&#xb1; 0.004, 0.982&#x20;&#xb1; 0.006, and 0.186&#x20;&#xb1; 0.004&#xa0;&#x3bc;M, respectively. These findings suggested that the four biflavones exhibited a significant inhibition activity towards CYP3A4 and further confirmed the above conclusion that DGK, GK, IGK, and AMF were the main inhibitory components of GB and ST, respectively.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The concentration-dependent inhibitory effects of four identified biflavones against NEN-4-hydroxylation in HLM. <bold>(A)</bold> DGK, <bold>(B)</bold> GK, <bold>(C)</bold> IGK, and <bold>(D)</bold> AMF. Data are shown as the mean&#x20;&#xb1; S.D. (<italic>n</italic>&#x20;&#x3d; 3). Each line represents the line of best fit to the&#x20;data.</p>
</caption>
<graphic xlink:href="fphar-13-856784-g003.tif"/>
</fig>
<p>Given that all of the four identified biflavones displayed strong inhibitory effects toward CYP3A4, the inhibition constant (<italic>K</italic>
<sub>i</sub>) values of DGK, GK, IGK, and AMF toward CYP3A4 were further determined. As shown in <xref ref-type="fig" rid="F4">Figure&#x20;4A</xref>, DGK displayed mixed reversible inhibition against NEN 4-hydroxylation, and the <italic>K</italic>
<sub>i</sub> value was determined to be of 0.070&#x20;&#xb1; 0.018&#xa0;&#x3bc;M. Correspondingly, the inhibition profiles of GK, IGK, and AMF were all fitted to mixed reversible inhibition equation with the <italic>K</italic>
<sub>i</sub> values of 0.034&#x20;&#xb1; 0.007, 0.278&#x20;&#xb1; 0.087, and 0.101&#x20;&#xb1; 0.030&#xa0;&#x3bc;M (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). These results demonstrated that DGK, GK, IGK, and AMF functioned as strong inhibitors of CYP3A4 with the <italic>K</italic>
<sub>i</sub> values ranging from 0.034 to 0.278&#xa0;&#xb5;M (<xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The Lineweaver&#x2013;Burk (Left) and Dixon (Right) plots of four identified biflavones. <bold>(A, B)</bold> DGK, <bold>(C, D)</bold> GK, <bold>(E, F)</bold> IGK, <bold>(G, H)</bold> AMF. Data are shown as the mean&#x20;&#xb1; S.D. (<italic>n</italic>&#x20;&#x3d; 3). Each line represents the line of best fit to the data.</p>
</caption>
<graphic xlink:href="fphar-13-856784-g004.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Inhibition parameters of inhibitory constitutes toward CYP3A4 in human liver microsomes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Biflavone</th>
<th align="center">
<italic>K</italic>
<sub>i</sub> (&#xb5;M)</th>
<th align="center">Type of inhibition</th>
<th align="center">&#x251;<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th align="center">Goodness of fit (R<sup>2</sup>)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DGK</td>
<td align="char" char="plusmn">0.070&#x20;&#xb1; 0.018</td>
<td align="center">Mixed-inhibition</td>
<td align="char" char=".">2.98</td>
<td align="char" char=".">0.9825</td>
</tr>
<tr>
<td align="left">GK</td>
<td align="char" char="plusmn">0.034&#x20;&#xb1; 0.007</td>
<td align="center">Mixed-inhibition</td>
<td align="char" char=".">4.56</td>
<td align="char" char=".">0.9859</td>
</tr>
<tr>
<td align="left">IGK</td>
<td align="char" char="plusmn">0.278&#x20;&#xb1; 0.087</td>
<td align="center">Mixed-inhibition</td>
<td align="char" char=".">2.79</td>
<td align="char" char=".">0.9808</td>
</tr>
<tr>
<td align="left">AMF</td>
<td align="char" char="plusmn">0.101&#x20;&#xb1; 0.030</td>
<td align="center">Mixed-inhibition</td>
<td align="char" char=".">5.55</td>
<td align="char" char=".">0.9758</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>The &#x3b1; value represent the degree to which the binding of the inhibitor influence the binding between enzyme and substrate. When &#x3b1; is greater than 1, the mixed-inhibition model is close to competitive inhibition.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-4">
<title>The Inhibitory Effects of Biflavones Against the Metabolism of Clinical Drugs</title>
<p>The CYP3A4-mediated potential interactions between DGK, GK, IGK, AMF, and clinical drugs were investigated. The selective estrogen receptor modulator tamoxifen, tyrosine kinase inhibitor gefitinib, and P2Y12 platelet inhibitor ticagrelor, which mainly undergo CYP3A4 metabolism (<xref ref-type="bibr" rid="B4">Desta et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B11">Li et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B27">Zhou et&#x20;al., 2011</xref>), were subjected to our study of their potential drug interaction profiles. As shown in <xref ref-type="fig" rid="F5">Figure&#x20;5</xref>, the four biflavones potently inhibit the CYP3A4-mediated oxidation of three clinical drugs in HLM in a dose-dependent manner. The half-inhibition concentration values for the four biflavones are shown in <xref ref-type="table" rid="T3">Table&#x20;3</xref>. The <italic>IC</italic>
<sub>50</sub> values for GK against tamoxifen and gefitinib was 0.478&#x20;&#xb1; 0.003 and 0.869&#x20;&#xb1; 0.001&#xa0;&#xb5;M, respectively. It was found that GK exhibited the strongest inhibitory effect towards all three clinical drugs. It is followed by DGK, AMF, and IGK; this order is consistent with that determined in the studies with fluorescent probe&#x20;NEN.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The concentration-dependent inhibitory effects of four identified biflavones against CYP3A4-mediated oxidation of tamoxifen <bold>(A&#x2013;D)</bold>, gefitinib <bold>(E&#x2013;H)</bold> and ticagrelor <bold>(I&#x2013;L)</bold> in HLM. <bold>(A, E, I)</bold> DGK, <bold>(B, F, J)</bold> GK, <bold>(C, G, K)</bold> IGK, <bold>(D, H, L)</bold> AMF. Data are shown as the mean&#x20;&#xb1; S.D. (<italic>n</italic>&#x20;&#x3d; 3). Each line represents the line of best fit to the&#x20;data.</p>
</caption>
<graphic xlink:href="fphar-13-856784-g005.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>
<italic>IC</italic>
<sub>50</sub> of biflavones toward clinical&#x20;drugs.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left"/>
<th colspan="4" align="center">
<italic>IC</italic>
<sub>50</sub>&#x20;&#xb1; SD (&#xb5;M)</th>
</tr>
<tr>
<th align="center">DGK</th>
<th align="center">GK</th>
<th align="center">IGK</th>
<th align="center">AMF</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Tamoxifen</td>
<td align="char" char="plusmn">1.02&#x20;&#xb1; 0.088</td>
<td align="char" char="plusmn">0.478&#x20;&#xb1; 0.003</td>
<td align="char" char="plusmn">4.66&#x20;&#xb1; 0.236</td>
<td align="char" char="plusmn">2.72&#x20;&#xb1; 0.093</td>
</tr>
<tr>
<td align="left">Gefitinib</td>
<td align="char" char="plusmn">1.72&#x20;&#xb1; 0.001</td>
<td align="char" char="plusmn">0.869&#x20;&#xb1; 0.001</td>
<td align="char" char="plusmn">13.1&#x20;&#xb1; 0.415</td>
<td align="char" char="plusmn">5.20&#x20;&#xb1; 0.527</td>
</tr>
<tr>
<td align="left">Ticagrelor</td>
<td align="char" char="plusmn">3.50&#x20;&#xb1; 0.034</td>
<td align="char" char="plusmn">1.61&#x20;&#xb1; 0.039</td>
<td align="char" char="plusmn">10.2&#x20;&#xb1; 0.382</td>
<td align="char" char="plusmn">2.92&#x20;&#xb1; 0.047</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>Nowadays, herbal-drug interactions has become increasingly important due to the wide application of herbal medicines and their important role in the treatment and management of various diseases. Therefore, the effective evaluation of the interactions between herbal medicines and chemical drugs has become necessary to ensure their safe use. According to statistics, about 15% of patients take herbal medicines while receiving chemical drug treatment, and 40% of them exhibit adverse drug interactions, and the incidence rate is as high as 54% in the elderly group (<xref ref-type="bibr" rid="B5">Fugh-Berman, 2000</xref>; <xref ref-type="bibr" rid="B2">Bush et&#x20;al., 2007</xref>). The cause of these instances is the high incidence of drug interactions at the metabolic level (<xref ref-type="bibr" rid="B6">Gallo et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B16">Parvez and Rishi, 2019</xref>). Specifically, when the key metabolic process of a drug is severely interfered by other drugs or components of herbal medicine, the concentration of drug may increase and break the &#x201c;safety window&#x201d;, and result in an adverse reaction of drugs. In the present study, the CYP3A4-mediated herbal-drug interaction was investigated considering the important role of CYP3A4 in the metabolism of a variety of clinical&#x20;drugs.</p>
<p>Among the screened herbal medicines, GB and ST showed strong inhibitory effects on CYP3A4. <italic>Tribulus terrestris</italic> L. (D2), <italic>Areca catechu</italic> L. (B10), <italic>Fissistigma glaucescens</italic> (Hance) Merr. (F3) and <italic>Isatis indigotica</italic> Fort. (F11) displayed a moderate inhibitory effect toward CYP3A4, while the inhibitory effect of the remaining herbal medicines was insignificant. It is noteworthy that GB and <italic>Isatis indigotica</italic> Fort. are the most frequently used herbal medicines in Asia. Patients with ischemic stroke and neurological disorders used GB as a remedy (<xref ref-type="bibr" rid="B8">Ji et&#x20;al., 2020</xref>), and <italic>Isatis indigotica</italic> Fort. is one of the few well-recognized traditional herbs with anti-inflammatory, antibacterial and antiviral effects (<xref ref-type="bibr" rid="B26">You et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B3">Chen et&#x20;al., 2021</xref>). Additionally, <italic>Tribulus terrestris</italic> L. is currently approved as a dietary supplement due to its pro-sexual and androgen enhancing effects (<xref ref-type="bibr" rid="B20">&#x218;tef&#x103;nescu et&#x20;al., 2020</xref>). The above information suggests that researchers should pay close attention to the potential CYP3A4-mediated HDI of herbal medicines such as GB, <italic>Isatis indigotica</italic> Fort., <italic>Tribulus terrestris</italic> L. Our results provide important information for guiding the rational combination of herbal medicines and synthetic pharmaceuticals.</p>
<p>Previous research reports on interactions between GB and CYP indicated that flavonol aglycones such as kaempferol, quercetin, and apigenin were the major CYP3A4 inhibitory components in GB (<xref ref-type="bibr" rid="B23">von Moltke et&#x20;al., 2004</xref>). The discrepancy with the present results may be due to the fact that the previous investigation used only 29 isolated standard substances in GB and lacked any systematic evaluation of biflavone components of GB. In the present study, we observed a significant inhibitory effect of 20&#xa0;&#x3bc;g/mL GB extract on CYP3A4, and demonstrated an important inhibitory effect of DGK, GK, and IGK towards CYP3A4 with the use of high-throughput inhibition screening that employs NEN as a fluorescent probe for CYP3A4 activity. Therefore, these biflavonoids were identified as the major CYP3A4 inhibitory components of GB. The combination of visual screening with LC fraction tracking methods for the identification of inhibitory components used in this study takes into account both the composition of herbal medicines and the inhibitory effect of its individual components. This is an important advantage over the commonly used method of identification of inhibitory components of herbal medicines that uses a limited range of isolated and identified standard substances.</p>
<p>Biflavonoids are a class of compounds with outstanding anti-inflammatory and antioxidant biological activities, and have anti-microbial, anti-tumor and neuroprotective effects (<xref ref-type="bibr" rid="B7">Gontijo et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B12">Menezes and Diederich, 2021</xref>). In a variety of animal disease models, the excellent efficacy of diflavonoids has been confirmed (<xref ref-type="bibr" rid="B17">Rong et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B21">Su et&#x20;al., 2019</xref>). The inhibitory effects of diflavonoids against CYP3A4 should be further investigated, especially with clinical drugs commonly co-administered with these diflavones. Hence, we evaluated the inhibitory effects of diflavonoids toward three clinical drugs that mainly undergo CYP3A4-mediated metabolism including anticoagulant agent ticagrelor, anti-tumor drug tamoxifen, and gefitinib. We found that the three abundant diflavonoids in GB, namely DGK, GK and IGK, strongly inhibited the metabolism of ticagrelor, with <italic>IC</italic>
<sub>50</sub> of 3.50&#x20;&#xb1; 0.034, 1.61&#x20;&#xb1; 0.039, and 10.2&#x20;&#xb1; 0.382&#xa0;&#x3bc;M, respectively. Notably, the GB extract is commonly used for treatment in patients exhibiting angina pectoris, myocardial infarction and ischemic stroke, and for improving cardiac function, myocardium microenvironment and neurological function (<xref ref-type="bibr" rid="B8">Ji et&#x20;al., 2020</xref>). Therefore, special attention should be paid to the co-administration of GB extract and ticagrelor. Furthermore, the anticancer effects of biflavonoids including AMF has been widely recognized in the past few years (<xref ref-type="bibr" rid="B9">Kim et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B1">Aliyev et&#x20;al., 2021</xref>). The potential of AMF to applications as an anti-cancer drug suggests an importance of evaluation of the metabolic interaction between tamoxifen, gefitinib, and AMF. <italic>IC</italic>
<sub>50</sub> values for the effect of AMF on the oxidation of tamoxifen and gefitinib are equal to 2.72&#x20;&#xb1; 0.093 and 5.20&#x20;&#xb1; 0.527&#xa0;&#x3bc;M, respectively. Our results confirmed a significant inhibitory effects of the diflavonoids on the clinical drugs under study, and also pointed out that more attention should be paid to the herbal-drug interactions caused by the CYP3A4-mediated metabolic interaction between clinical drugs with biflavonoids and the respective herbal medicines.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>BW, CS, and LF: Investigation, Methodology, and Writing-original draft. WP, X-GT, C-PS, CW, XL, YW, Q-HY, and R-XG: Formal analysis. X-CM: Writing-review and editing. JN, H-LZ, and T-HM: Conceptualization, Project administration, Writing-review and editing, and Funding acquisition.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>The authors thank the National Natural Science Foundation of China (82004211 and 82174228), National Key R&#x26;D program of China (2018YFC1705900), Distinguished professor of Liaoning Province (XLYC2002008), Dalian Science and Technology Leading Talents Project (2019RD15), and High-level Talents of Dalian (2020RQ066 and 2020RQ076) for financial support.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2022.856784/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.856784/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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