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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.2016.00518</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>Identification of Febuxostat as a New Strong ABCG2 Inhibitor: Potential Applications and Risks in Clinical Situations</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Miyata</surname> <given-names>Hiroshi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/380807/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Takada</surname> <given-names>Tappei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/277528/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Toyoda</surname> <given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/75980/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Matsuo</surname> <given-names>Hirotaka</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ichida</surname> <given-names>Kimiyoshi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Suzuki</surname> <given-names>Hiroshi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo</institution> <country>Tokyo, Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Integrative Physiology and Bio-Nano Medicine, National Defense Medical College</institution> <country>Tokorozawa, Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pathophysiology, Tokyo University of Pharmacy and Life Sciences</institution> <country>Tokyo, Japan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Yurong Lai, Bristol-Myers Squibb, USA</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Martin Michaelis, University of Kent, UK; Peng Hsiao, Seattle Genetics Inc., USA</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Tappei Takada, <email>tappei-tky@umin.ac.jp</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup><italic>These authors have contributed equally to this paper.</italic></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>12</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>518</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>09</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>12</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016 Miyata, Takada, Toyoda, Matsuo, Ichida and Suzuki.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Miyata, Takada, Toyoda, Matsuo, Ichida and Suzuki</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) or licensor 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>ATP-binding cassette transporter G2 (ABCG2) is a plasma membrane protein that regulates the pharmacokinetics of a variety of drugs and serum uric acid (SUA) levels in humans. Despite the pharmacological and physiological importance of this transporter, there is no clinically available drug that modulates ABCG2 function. Therefore, to identify such drugs, we investigated the effect of drugs that affect SUA levels on ABCG2 function. This strategy was based on the hypothesis that the changes of SUA levels might caused by interaction with ABCG2 since it is a physiologically important urate transporter. The results of the <italic>in vitro</italic> screening showed that 10 of 25 drugs investigated strongly inhibited the urate transport activity of ABCG2. Moreover, febuxostat was revealed to be the most promising candidate of all the potential ABCG2 inhibitors based on its potent inhibition at clinical concentrations; the half-maximal inhibitory concentration of febuxostat was lower than its maximum plasma unbound concentrations reported. Indeed, our <italic>in vivo</italic> study demonstrated that orally administered febuxostat inhibited the intestinal Abcg2 and, thereby, increased the intestinal absorption of an ABCG2 substrate sulfasalazine in wild-type mice, but not in <italic>Abcg2</italic> knockout mice. These results suggest that febuxostat might inhibit human ABCG2 at a clinical dose. Furthermore, the results of this study lead to a proposed new application of febuxostat for enhancing the bioavailability of ABCG2 substrate drugs, named febuxostat-boosted therapy, and also imply the potential risk of adverse effects by drug-drug interactions that could occur between febuxostat and ABCG2 substrate drugs.</p>
</abstract>
<kwd-group>
<kwd>allopurinol</kwd>
<kwd>BCRP</kwd>
<kwd>benzbromarone</kwd>
<kwd>bioavailability</kwd>
<kwd>drug-drug interactions</kwd>
<kwd>drug repositioning</kwd>
<kwd>topiroxostat</kwd>
<kwd>URAT1</kwd>
</kwd-group>
<contract-sponsor id="cn001">Japan Society for the Promotion of Science<named-content content-type="fundref-id">10.13039/501100001691</named-content></contract-sponsor>
<contract-sponsor id="cn002">Gout Research Foundation of Japan<named-content content-type="fundref-id">10.13039/501100003427</named-content></contract-sponsor>
<contract-sponsor id="cn003">Uehara Memorial Foundation<named-content content-type="fundref-id">10.13039/100008732</named-content></contract-sponsor>
<contract-sponsor id="cn004">Mochida Memorial Foundation for Medical and Pharmaceutical Research<named-content content-type="fundref-id">10.13039/501100005865</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="61"/>
<page-count count="12"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p>ATP-binding cassette transporter G2 (ABCG2) is a member of ABC transporter superfamily and is recognized as one of the most important drug efflux transporters (<xref ref-type="bibr" rid="B7">Giacomini et al., 2010</xref>; <xref ref-type="bibr" rid="B26">Lee et al., 2015</xref>; <xref ref-type="bibr" rid="B28">Mao and Unadkat, 2015</xref>). Following the identification of the expression of this protein as the cause of acquired multidrug resistance (MDR) in breast cancer cell lines, ABCG2 has been termed breast cancer resistance protein (<xref ref-type="bibr" rid="B5">Doyle et al., 1998</xref>). ABCG2 is expressed not only in cancer tissues but also in numerous normal tissues such as the small intestine and kidney (<xref ref-type="bibr" rid="B5">Doyle et al., 1998</xref>). Accumulating evidence indicates that ABCG2 plays a pivotal role as a gatekeeper against xenobiotics (<xref ref-type="bibr" rid="B19">Jonker et al., 2002</xref>; <xref ref-type="bibr" rid="B7">Giacomini et al., 2010</xref>).</p>
<p>ABCG2 regulates the pharmacokinetics and efficacy of its substrate drugs. In the small intestine, ABCG2 is involved in the efflux of its substrates from the epithelial cells into the intestinal lumen, which could lower their bioavailability. For instance, the plasma concentrations (<xref ref-type="bibr" rid="B58">Yamasaki et al., 2008</xref>) and efficacy (<xref ref-type="bibr" rid="B54">Wiese et al., 2014</xref>) of orally administered sulfasalazine, an antirheumatic drug, are modulated by the function of ABCG2, which appears to be affected by at least one SNP in its cognate gene <italic>ABCG2</italic> in humans. ABCG2 often lowers the bioavailability of other drugs such as rosuvastatin (<xref ref-type="bibr" rid="B24">Keskitalo et al., 2009</xref>; <xref ref-type="bibr" rid="B49">Tomlinson et al., 2010</xref>), which is widely used to treat dyslipidemia, and sunitinib (<xref ref-type="bibr" rid="B33">Mizuno et al., 2010</xref>), a multi-targeted receptor tyrosine kinase inhibitor used in cancer chemotherapy. The intestinal inhibition of ABCG2 would be an effective strategy to improve the efficacy of such drugs by enhancing their bioavailability. Therefore, the clinical inhibition of ABCG2 may be beneficial, although there are currently no appropriate drugs and candidates to inhibit ABCG2.</p>
<p>Recently, we and other research groups have independently found that ABCG2 is a physiologically important regulator of urate (<xref ref-type="bibr" rid="B32">Matsuo et al., 2009</xref>; <xref ref-type="bibr" rid="B55">Woodward et al., 2009</xref>; <xref ref-type="bibr" rid="B14">Ichida et al., 2012</xref>; <xref ref-type="bibr" rid="B31">Matsuo et al., 2014</xref>) as well as URAT1, a major component of the urate reabsorption system in the kidney and a target of hyperuricemia therapy (<xref ref-type="bibr" rid="B6">Enomoto et al., 2002</xref>). Hyperuricemia is defined as SUA levels > 7.0 mg/dL (<xref ref-type="bibr" rid="B57">Yamanaka, 2011</xref>) and is associated with some diseases such as metabolic syndrome, hypertension and gout (<xref ref-type="bibr" rid="B43">Richette et al., 2014</xref>). Genetically, decreased ABCG2 function is one of the major risk factors of hyperuricemia (<xref ref-type="bibr" rid="B32">Matsuo et al., 2009</xref>), since ABCG2 contributes to both intestinal and urinary excretion of urate from the human body into the feces and urine, respectively (<xref ref-type="bibr" rid="B14">Ichida et al., 2012</xref>; <xref ref-type="bibr" rid="B31">Matsuo et al., 2014</xref>). Thus, it is possible that increasing ABCG2 function could contribute to decreasing SUA levels in patients with hyperuricemia.</p>
<p>To date, safe modulation of ABCG2 function by chemicals in humans has not been achieved. Since both the inhibition and enhancement of ABCG2 function could have clinical consequences as described above, numerous efforts have been made to investigate and develop chemical compounds that interact with ABCG2. Historically, some promising ABCG2 inhibiting compounds, such as Ko143 (<xref ref-type="bibr" rid="B1">Allen et al., 2002</xref>) and elacridar (GF120918) (<xref ref-type="bibr" rid="B13">Hyafil et al., 1993</xref>), have been discovered, which were targeted at overcoming ABCG2-induced MDR. However, the efficacy and safety of these compounds in humans remain unclear, because, to our knowledge, their safety in humans has not been demonstrated in clinical studies. The similar problem is also the case for the new ABCG2 inhibitors developed recently (<xref ref-type="bibr" rid="B20">Juvale and Wiese, 2015</xref>; <xref ref-type="bibr" rid="B42">Ricci et al., 2016</xref>). Therefore, we aimed to identify a solution by exploring new promising agents for ABCG2 regulation from drugs currently available on the market. Since the approved drugs have a low risk of adverse effects in humans, this drug repositioning approach is expected to be highly feasible. In addition, based on the physiological function of ABCG2 as a urate transporter, we considered that some drugs that affect SUA levels (SUA-affecting drugs) might potentially interact with ABCG2. In this context, we chose the SUA-affecting drugs as a source of the screening library in this study.</p>
<p>The drugs investigated in this study were selected based on clinical reports demonstrating their SUA level altering effects in humans. The results of the <italic>in vitro</italic> investigation showed that 10 drugs potently inhibited ABCG2. Among them, febuxostat, a clinically used SUA-lowering drug, exhibited the strongest inhibitory effect on ABCG2 <italic>in vitro</italic>. We also revealed that febuxostat could enhance the intestinal absorption of sulfasalazine, a well-known ABCG2 substrate in both humans (<xref ref-type="bibr" rid="B58">Yamasaki et al., 2008</xref>) and mice (<xref ref-type="bibr" rid="B61">Zaher et al., 2006</xref>), by using WT and <italic>Abcg2</italic> KO mice. Our findings suggest novel potential applications and risks in clinical use of febuxostat.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Materials</title>
<p>The following compounds were purchased commercially from the sources indicated: allopurinol, benzbromarone, cyclosporine, <sc>D</sc>-fructose, elacridar, furosemide, hydrochlorothiazide, nicotinic acid, oxypurinol, rosuvastatin calcium salt, salicylic acid, 4-hydroxy chalcone (Wako Fine Chemical, Osaka, Japan); atorvastatin, chlorothiazide, febuxostat, mizoribine, pyrazinecarboxylic acid, ribavirin, tacrolimus, xylitol (Tokyo Chemical Industry, Tokyo, Japan); ethambutol, losartan (LKT Laboratories, St Paul, MN, USA); fenofibrate, probenecid, sulfasalazine, Ko143, ATP, AMP, creatine phosphate disodium salt tetrahydrate, creatine phosphokinase type I from rabbit muscle (Sigma-Aldrich, St. Louis, MO, USA); pyrazinamide (ACROS ORGANICS, Geel, Belgium); theophylline (Nacalai Tesque, Kyoto, Japan); and topiroxostat (MedChem Express, Princeton, NJ, USA). The [8-<sup>14</sup>C]-uric acid (53 mCi/mmol) was from American Radiolabeled Chemicals (St. Louis, MO, USA). All other chemicals used were commercially available and of analytical grade.</p>
</sec>
<sec><title>Cell Culture</title>
<p>Human embryonic kidney 293 cell-derived 293A cells were purchased from Life Technologies (Carlsbad, CA, USA) and cultured in DMEM (Nacalai Tesque) supplemented with 10% fetal bovine serum (Biowest, Nuaill&#x00E9;, France), 1% penicillin/streptomycin, 2 mM <sc>L</sc>-glutamine (Nacalai Tesque), and 1 &#x00D7; Non-Essential Amino Acid (Life Technologies) at 37&#x00B0;C in an atmosphere of 5% CO<sub>2</sub> as described previously (<xref ref-type="bibr" rid="B51">Toyoda et al., 2016a</xref>). All experiments were carried out with 293A cells at passages 10&#x2013;20. To express human ABCG2 (NM_004827) fused with Myc-tag at its N-terminus (Myc-ABCG2) and EGFP (control), we used Myc-ABCG2 and EGFP-expressing adenoviruses constructed in our previous study (<xref ref-type="bibr" rid="B18">Ito et al., 2015</xref>), respectively. To express the URAT1, open reading frame of URAT1 (NM_144585.3) was cloned into a pcDNA3.1(+) vector (Life Technologies) with a FLAG tag at its N-terminus. To express mouse Abcg2 and EGFP (control), open reading frames of mouse Abcg2 (NM_011920) and EGFP were inserted into a pcDNA3.3 vector (Life Technologies), respectively.</p>
</sec>
<sec><title>Animals</title>
<p>The FVB/NJcl WT mice were purchased from CLEA Japan (Tokyo, Japan). The <italic>Abcg2</italic> KO mice (<xref ref-type="bibr" rid="B14">Ichida et al., 2012</xref>) had been maintained in our laboratory as described previously. All the animals were housed in temperature- and humidity-controlled animal cages with a 12-h dark-light cycle, and free access to water and standard animal chow (MF, Oriental Yeast Company, Tokyo, Japan) as described previously (<xref ref-type="bibr" rid="B17">Ito et al., 2014</xref>; <xref ref-type="bibr" rid="B46">Takada et al., 2015</xref>). In the present study, all the <italic>in vivo</italic> experiments were conducted with 6&#x2013;8-week-old male mice. The animal research protocols used in the present study were approved by the Animal Studies Committee of the University of Tokyo.</p>
</sec>
<sec><title><italic>In vitro</italic> Urate Transport Assay With ABCG2-Expressing Plasma Membrane Vesicles</title>
<p>The membrane vesicles were prepared from 293A cells infected with EGFP- or Myc-ABCG2- expressing adenovirus as described previously (<xref ref-type="bibr" rid="B11">Hayashi et al., 2005</xref>). Similarly, mouse Abcg2-expressing plasma membrane vesicles were prepared from 293A cells 48 h after the plasmid transfection using Polyethylenimine &#x201C;MAX&#x201D; (PEI-MAX) (1 mg/mL in milliQ water, pH 7.0; Polysciences, Warrington, PA, USA) as described previously (<xref ref-type="bibr" rid="B44">Stiburkova et al., 2016</xref>). The [8-<sup>14</sup>C]-urate transport assay with the ABCG2/Abcg2-expressing membrane vesicles was performed using a rapid filtration technique (<xref ref-type="bibr" rid="B32">Matsuo et al., 2009</xref>; <xref ref-type="bibr" rid="B52">Toyoda et al., 2016b</xref>). The urate transport activity was calculated as an incorporated clearance (&#x03BC;L/mg protein/min): (incorporated level of urate [DPM/mg protein/min]/urate level in the incubation mixture [DPM/&#x03BC;L]). ATP-dependent urate transport was calculated by subtracting the urate transport activity in the absence of ATP from that in the presence of ATP.</p>
</sec>
<sec><title>Calculation of the Half-Maximal Inhibitory Concentration (IC<sub>50</sub>) Values and the Plasma Concentrations of Each Drug</title>
<p>The IC<sub>50</sub> values of each test compound against the urate transport by ABCG2 were calculated as follows. First, the urate transport activities were measured in the presence of SUA-affecting drugs at several concentrations. The transport activities were expressed as a percentage of control (100%). Then, the calculated values were fitted to the following formula using the least-squares methods (<xref ref-type="bibr" rid="B41">Powles et al., 2007</xref>) with the Excel 2007 (Microsoft, Redmond, WA, USA) program:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mrow><mml:mtext mathvariant='normal'>Predicted&#x0020;value</mml:mtext><mml:mrow><mml:mo mathvariant='normal'>[</mml:mo><mml:mo mathvariant='normal'>%</mml:mo><mml:mo mathvariant='normal'>]</mml:mo><mml:mo mathvariant='normal'>=</mml:mo><mml:mn mathvariant='normal'>100</mml:mn><mml:mo mathvariant='normal'>&#x2212;</mml:mo><mml:mrow><mml:mo mathvariant='normal'>(</mml:mo><mml:msub><mml:mrow><mml:mi mathvariant='normal'>E</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant='normal'>max</mml:mi><mml:mo mathvariant='normal'>&#x2061;</mml:mo></mml:mrow></mml:msub><mml:mo mathvariant='normal'>&#x00d7;</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant='normal'>C</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant='normal'>n</mml:mi></mml:mrow></mml:msup><mml:mo mathvariant='normal'>/</mml:mo><mml:msubsup><mml:mrow><mml:mi mathvariant='normal'>I</mml:mi><mml:mi mathvariant='normal'>C</mml:mi></mml:mrow><mml:mrow><mml:mn mathvariant='normal'>50</mml:mn></mml:mrow><mml:mrow><mml:mi mathvariant='normal'>n</mml:mi></mml:mrow></mml:msubsup><mml:mo mathvariant='normal'>+</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant='normal'>C</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant='normal'>n</mml:mi></mml:mrow></mml:msup><mml:mo mathvariant='normal'>)</mml:mo></mml:mrow></mml:mrow></mml:mrow></mml:math></disp-formula>
<p>where, E<sub>max</sub> is the maximum effect, C is the drug concentration, and n is the sigmoid-fit factor. The unbound concentrations of each drug in human plasma were calculated based on the general information provided by pharmaceutical industries. The unbound fraction in human plasma (f<sub>u</sub>) was calculated by subtracting the ratio of bound drugs from total drugs. The maximum unbound concentration of each drug in human plasma (f<sub>u</sub>C<sub>max</sub>) was calculated by multiplying f<sub>u</sub> and the reported C<sub>max</sub> together.</p>
</sec>
<sec><title><italic>In vitro</italic> Urate Uptake Assay in URAT1-Expressing 293A Cells</title>
<p>The 293A cells were seeded on a 12-well plate (Becton Dickenson &#x0026; Co., Franklin Lakes, NJ, USA) at 2 &#x00D7; 10<sup>5</sup> cells/well. Twenty-four hours after seeding, the cells were transiently transfected with the FLAG-URAT1 pcDNA3.1(+) vector or empty vector using PEI-MAX (0.4 &#x03BC;g plasmid/4 &#x03BC;L PEI-MAX/100 &#x03BC;L serum free DMEM/2 &#x00D7; 10<sup>5</sup> cells) as described previously (<xref ref-type="bibr" rid="B44">Stiburkova et al., 2016</xref>). Forty-eight hours after the transfection, the cells were washed twice with Buffer T2 (125 mM Na-gluconate, 4.8 mM <sc>K</sc>-gluconate, 1.2 mM KH<sub>2</sub>PO<sub>4</sub>, 1.2 mM MgSO<sub>4</sub>, 1.3 mM Ca-gluconate, 25 mM HEPES, 5.6 mM <sc>D</sc>-glucose, and pH 7.4) and preincubated in Buffer T2 for 15 min at 37&#x00B0;C. Then, the buffer was exchanged to fresh Buffer T2 containing 2 &#x03BC;M [8-<sup>14</sup>C]-urate, and the cells were further incubated for the indicated periods. Subsequently, the cells were washed with ice-cold Buffer T2 twice and then lysed with 500 &#x03BC;L 0.2 M NaOH on ice with gently shaking for 1 h. The resulting lysates were transferred to 1.5-mL tubes, neutralized with 100 &#x03BC;L 1 M HCl, and then the radioactivity were measured using a liquid scintillator. The protein concentrations were determined using a bicinchoninic acid assay kit (Life Technologies) according to the manufacturer&#x2019;s instruction. The urate transport activity was calculated as the incorporated clearance (&#x03BC;L/mg protein/min): (incorporated level of urate [DPM/mg protein/min]/urate level in the incubation mixture [DPM/&#x03BC;L]). URAT1-dependent urate transport activity was calculated by subtracting the urate transport activity of mock cells from that of the URAT1-expressing cells.</p>
</sec>
<sec><title>Western Blot Analysis</title>
<p>The expression of Myc-ABCG2 on membrane vesicles and FLAG-URAT1 in transiently transfected-293A cells was confirmed using western blot analysis. To obtain the cell lysate samples of URAT1-expressing 293A cells, 48 h after the transfection, the cells were washed twice with phosphate-buffered saline without Ca<sup>2+</sup> and Mg<sup>2+</sup> and then dissolved in RIPA buffer (0.1% SDS, 0.5% deoxycholate, 1% NP40, 150 mM NaCl, 50 mM Tris-HCl, and pH 7.4) containing protease inhibitor cOmplete, EDTA-free (Roche, Basel, Switzerland). After centrifugation at 15,000 &#x00D7; <italic>g</italic> for 10 min at 4&#x00B0;C, the resulting supernatants were collected as the cell lysates. The membrane vesicles prepared from the adenovirus-infected 293A cells or cell lysates of vector-transfected 293A cells were subjected to 8.5% SDS-polyacrylamide gel electrophoresis and transferred to PVDF membranes (Immobilon, Millipore Corporation, Billerica, MA, USA). After blocking with 3% bovine serum albumin in 0.05% Tween 20 containing Tris-buffered saline for 1 h at room temperature, the membranes were treated with following antibodies as described previously (<xref ref-type="bibr" rid="B32">Matsuo et al., 2009</xref>); mouse anti-ABCG2 antibody (BXP-21) (Santa Cruz Biotechnology, Santa Cruz, CA, USA) (1:1000), a mouse anti-FLAG M2 antibody (Sigma Aldrich) (1:1000), a rabbit anti-Na<sup>+</sup>/K<sup>+</sup>-ATPase antibody (Santa Cruz Biotechnology) (1:1000), anti-mouse IgG or anti-rabbit IgG antibody labeled with horseradish peroxidase (GE Healthcare, Piscataway, NJ, USA) (1:2500). The immunoblotted membranes were treated with ECL Prime (GE Healthcare) and analyzed using a Chemidoc XRS (Bio-Rad Laboratories, Richmond, CA, USA).</p>
</sec>
<sec><title><italic>In vivo</italic> Abcg2 Inhibition Test</title>
<p>We conducted an <italic>in vivo</italic> Abcg2 inhibition test to examine the effect of febuxostat on the intestinal absorption of sulfasalazine, an ABCG2 substrate. Febuxostat was dissolved in 100 mM sodium bicarbonate buffer, pH 10. Prior to the experiment, the mice were fasted overnight, and then they were orally administered febuxostat by gavage at a dose of 150 mg/kg body weight (b.w.) with the expectation of complete inhibition of intestinal Abcg2. Twenty minutes later, sulfasalazine (20 mg/kg b.w.) was orally administered by gavage. At the indicated periods, the mice were anesthetized with diethyl ether and blood was collected from the jugular veins using heparinized syringes, followed by centrifugation at 3,000 &#x00D7; <italic>g</italic> for 10 min. The resulting supernatant (plasma) was collected and stored at -80&#x00B0;C until the LC/MS/MS analysis was performed.</p>
</sec>
<sec><title>Measurement of Plasma Concentration of Sulfasalazine Using LC/MS/MS</title>
<p>The collected plasma was deproteinized with a fourfold volume of methanol containing 2 &#x03BC;g/mL 4-hydroxy chalcone as an internal standard. After vortexing for 10 min, the samples were centrifuged at 20,000 &#x00D7; <italic>g</italic> for 15 min at 4&#x00B0;C. Then, the supernatants were analyzed using the LC/MS/MS technique.</p>
<p>The LC/MS/MS analysis was conducted using an ultra-performance LC system connected to a Xevo TQ-S mass spectrometer (Waters Corporation, Milford, MA, USA). The samples were separated using a 1.7-&#x03BC;m particle ACQUITY C18 column (2.1 mm &#x00D7; 100 mm, Waters), maintained at 50&#x00B0;C, under gradient mobile phase conditions with a mixture of 0.1% formic acid in water and 0.1% formic acid in acetonitrile as solvents (0&#x2013;1 min 70:30 v/v, 1&#x2013;3 min 70:30 to 2:98 v/v, 3&#x2013;5 min 2:98 v/v, and 5&#x2013;6.5 min 70:30 v/v) with a flow rate of 0.3 mL/min. The separated samples were introduced into an MS in the positive and negative electrospray ionization mode for sulfasalazine and 4-hydroxy chalcone, respectively. Each compound was quantified in the multiple reactions monitoring mode (399.24 > 119.02, Cone 20 V, Collision 46 eV for sulfasalazine; 223.15 > 117.00, Cone 50 V, and Collision 36 eV for 4-hydroxy chalcone).</p>
<p>The AUC of sulfasalazine was calculated as the total area of the trapezoids formed by the points of the concentration and time in the concentration-time plots.</p>
</sec>
<sec><title>Statistical Analysis</title>
<p>All statistical analyses were performed using the Excel 2007 program. Significant differences were identified using a two-way ANOVA followed by Tukey-Kramer <italic>post hoc</italic> test. The values were considered significant when <italic>P</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Effects of SUA-Affecting Drugs on the Urate Transport Activity of ABCG2 <italic>In vitro</italic></title>
<p>To examine the effects of 25 SUA-affecting drugs (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>) on ABCG2 function, we measured the urate transport activity of ABCG2 in the presence of each SUA-affecting drug. Expression of ABCG2 in the plasma membrane vesicles was confirmed using western blot analysis (<bold>Figure <xref ref-type="fig" rid="F1">1A</xref></bold>). According to our previous reports (<xref ref-type="bibr" rid="B32">Matsuo et al., 2009</xref>; <xref ref-type="bibr" rid="B44">Stiburkova et al., 2016</xref>), we used 20 &#x03BC;M of urate in reaction mixtures in the following experiments. First, we examined the time-dependent increase in ATP-dependent urate transport into the ABCG2-expressing plasma membrane vesicle (<bold>Figure <xref ref-type="fig" rid="F1">1B</xref></bold>). The urate transport activities of ABCG2 were higher than those of the mock (EGFP), and linearly increased for 20 min. Therefore, we examined the effect of SUA-affecting drugs on ABCG2 for 10 min at the indicated concentrations in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>. In this experiment, the concentrations of each drug (3&#x2013;1000 &#x03BC;M) were determined as the maximum soluble levels in the transport buffer.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>List of SUA-affecting drugs in the present study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Effect on SUA levels</th>
<th valign="top" align="left">Drugs</th>
<th valign="top" align="center">Maximum concentration in the present study [&#x03BC;M]</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">I Decrease expectedly</td>
<td valign="top" align="left">Allopurinol</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B53">Watts et al., 1965</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Benzbromarone</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B6">Enomoto et al., 2002</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Febuxostat</td>
<td valign="top" align="center">10</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B37">Osada et al., 1993</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Oxypurinol</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B53">Watts et al., 1965</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Probenecid</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B8">Gutman et al., 1954</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Topiroxostat</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B36">Okamoto et al., 2003</xref></td>
</tr>
<tr>
<td valign="top" align="left">II Decrease unexpectedly</td>
<td valign="top" align="left">Atorvastatin<sup>&#x2217;</sup></td>
<td valign="top" align="center">30</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Ogata et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Fenofibrate</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Harvengt et al., 1980</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Losartan</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B21">Kamper and Nielsen, 2001</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Rosuvastatin<sup>&#x2217;</sup></td>
<td valign="top" align="center">100</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Ogata et al., 2010</xref></td>
</tr>
<tr>
<td valign="top" align="left">III Increase unexpectedly</td>
<td valign="top" align="left">Chlorothiazide</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B23">Kelley et al., 1973</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Cyclosporine<sup>&#x2217;</sup></td>
<td valign="top" align="center">30</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B39">Palestine et al., 1984</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Ethambutol</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B40">Postlethwaite et al., 1972</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Fructose</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B48">Thomas et al., 1975</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Furosemide</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B23">Kelley et al., 1973</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Hydrochlorothiazide</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B12">Healey et al., 1959</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Mizoribine</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B15">Ishikawa et al., 1986</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Nicotinic acid</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B3">Cruess-Callaghan and FitzGerald, 1966</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Pyrazinamide</td>
<td valign="top" align="center">300</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B4">Cullen et al., 1956</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Pyrazinecarboxylic acid</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B4">Cullen et al., 1956</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Ribavirin</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B59">Yamashita et al., 2008</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Salicylic acid</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B60">Yu and Gutman, 1959</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Tacrolimus<sup>&#x2217;</sup></td>
<td valign="top" align="center">30</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B22">Kanbay et al., 2005</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Theophylline</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B56">Yamamoto et al., 1991</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="left">Xylitol</td>
<td valign="top" align="center">1000</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B48">Thomas et al., 1975</xref></td>
</tr>
<tr>
<td valign="top" align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic><sup>&#x2217;</sup>Reportedly interact with ABCG2.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>Effect of serum uric acid (SUA)-affecting drugs on the urate transport activity of ABCG2.</bold> <bold>(A)</bold> Expression of ABCG2 on membrane vesicles. Membrane vesicles (5 &#x03BC;g) were subjected to western blot analysis using a BXP-21, an anti-ABCG2 or anti-Na<sup>+</sup>/K<sup>+</sup>-ATPase antibody. <bold>(B)</bold> Time-dependent increase in the urate transport by ABCG2. The urate transport into membrane vesicles was measured at the indicated periods with (closed) or without (open) ATP. Values are expressed as mean &#x00B1; SD. (<italic>n</italic> = 3). <bold>(C)</bold> The urate transport activities of ABCG2 in the presence of each SUA-affecting drug. Concentrations of each drug are shown in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>. The urate transport into membrane vesicles was measured in the presence of each SUA-affecting drug for 10 min. Data are shown as the percentage of vehicle control (without drugs). Values are expressed as mean &#x00B1; SD (<italic>n</italic> = 3).</p></caption>
<graphic xlink:href="fphar-07-00518-g001.tif"/>
</fig>
<p>The <italic>in vitro</italic> screening result revealed that 10 of the 25 drugs investigated decreased the urate transport activity of ABCG2 to &#x003C;20% of that of the vehicle control (<bold>Figure <xref ref-type="fig" rid="F1">1C</xref></bold>). Although 12 drugs tended to increase the urate transport activity of ABCG2, their effects were slight compared to the drastic inhibitory effects of the 10 drugs. Therefore, we focused on the most active 10 drugs in the further analyses.</p>
</sec>
<sec><title>Febuxostat, an SUA-Lowering Drug Inhibited ABCG2 at Clinical Concentrations <italic>In vitro</italic></title>
<p>Since the <italic>in vitro</italic> screening was conducted in the presence of maximum concentrations of each drug, we subsequently estimated the clinical effects of the selected 10 drugs. First, to determine the IC<sub>50</sub> values of each drug against the urate transport activity of ABCG2, we measured the urate transport activities in the presence of several concentrations of each drug (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>). Then, the IC<sub>50</sub> values were calculated from the results obtained using the least-squares methods (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>). Among the 10 drugs we examined, three (benzbromarone, topiroxostat and febuxostat) potently inhibited ABCG2 with IC<sub>50</sub> values at submicromolar concentrations (0.20, 0.18, and 0.027 &#x03BC;M, respectively). Indeed, these values were considerably lower than those of four drugs that have been reported to interact with ABCG2, atorvastatin (4.3 &#x03BC;M), cyclosporine (3.2 &#x03BC;M), tacrolimus (3.1 &#x03BC;M) and rosuvastatin (2.3 &#x03BC;M).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>Dose-dependent inhibition of ABCG2-mediated urate transport by serum uric acid (SUA)-affecting drugs.</bold> The urate transport activities were measured in the presence of the following drugs at the indicated concentrations for 10 min. <bold>(A)</bold> Losartan, <bold>(B)</bold> Fenofibrate, <bold>(C)</bold> Atorvastatin, <bold>(D)</bold> Cyclosporine, <bold>(E)</bold> Furosemide, <bold>(F)</bold> Tacrolimus, <bold>(G)</bold> Rosuvastatin, <bold>(H)</bold> Benzbromarone, <bold>(I)</bold> Topiroxostat, and <bold>(J)</bold> Febuxostat. Data are shown as the percentage of vehicle control (without drugs). Values are expressed as mean &#x00B1; SD (<italic>n</italic> = 3).</p></caption>
<graphic xlink:href="fphar-07-00518-g002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Calculated IC<sub>50</sub> values for ABCG2-mediated urate transport activity and estimated f<sub>u</sub>, C<sub>max</sub> and f<sub>u</sub>C<sub>max</sub> values of SUA-affecting drugs.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Drugs</th>
<th valign="top" align="center">IC<sub>50</sub> [&#x03BC;M]</th>
<th valign="top" align="center">f<sub>u</sub></th>
<th valign="top" align="center">C<sub>max</sub> [&#x03BC;M]</th>
<th valign="top" align="center">f<sub>u</sub>C<sub>max</sub> [&#x03BC;M]</th>
<th valign="top" align="center"><italic>In vivo</italic> risk factor (f<sub>u</sub>C<sub>max</sub>/IC<sub>50</sub>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Losartan</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">2.0 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">1.4</td>
<td valign="top" align="center">2.8 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">8.1 &#x00D7; 10<sup>-4</sup></td>
</tr>
<tr>
<td valign="top" align="left">Fenofibrate</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">1.0 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">2.5 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">4.8 &#x00D7; 10<sup>-2</sup></td>
</tr>
<tr>
<td valign="top" align="left">Atorvastatin</td>
<td valign="top" align="center">4.3</td>
<td valign="top" align="center">4.4 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">2.2 &#x00D7; 10<sup>-3</sup></td>
<td valign="top" align="center">9.6 &#x00D7; 10<sup>-5</sup></td>
<td valign="top" align="center">2.2 &#x00D7; 10<sup>-5</sup></td>
</tr>
<tr>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">1.0 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">8.1 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">8.1 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">2.5 &#x00D7; 10<sup>-2</sup></td>
</tr>
<tr>
<td valign="top" align="left">Furosemide</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">9.0 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">2.7</td>
<td valign="top" align="center">2.4 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">7.7 &#x00D7; 10<sup>-2</sup></td>
</tr>
<tr>
<td valign="top" align="left">Tacrolimus</td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">1.0 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">5.4 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">5.4 &#x00D7; 10<sup>-4</sup></td>
<td valign="top" align="center">1.7 &#x00D7; 10<sup>-4</sup></td>
</tr>
<tr>
<td valign="top" align="left">Rosuvastatin</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">1.2 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">9.4 &#x00D7; 10<sup>-3</sup></td>
<td valign="top" align="center">1.1 &#x00D7; 10<sup>-3</sup></td>
<td valign="top" align="center">4.8 &#x00D7; 10<sup>-4</sup></td>
</tr>
<tr>
<td valign="top" align="left">Benzbromarone</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">3.7 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">5.4</td>
<td valign="top" align="center">2.0 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">9.9 &#x00D7; 10<sup>-1</sup></td>
</tr>
<tr>
<td valign="top" align="left">Topiroxostat</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">2.5 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">7.0 &#x00D7; 10<sup>-1</sup></td>
<td valign="top" align="center">1.7 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">9.9 &#x00D7; 10<sup>-2</sup></td>
</tr>
<tr>
<td valign="top" align="left">Febuxostat</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">2.2 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">4.1</td>
<td valign="top" align="center">9.0 &#x00D7; 10<sup>-2</sup></td>
<td valign="top" align="center">3.4</td>
</tr>
<tr>
<td valign="top" align="left"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>The unbound fraction (f<sub><italic>u</italic></sub>), maximum concentration (C<sub><italic>max</italic></sub>) and maximum unbound concentration in human plasma (f<sub><italic>u</italic></sub>C<sub><italic>max</italic></sub>) values were calculated based on the information provided by pharmaceutical industries. As an <italic>in vivo</italic> risk factor, we determined the value of f<sub><italic>u</italic></sub>C<sub><italic>max</italic></sub>/IC<sub><italic>50</italic></sub>. The large value of this score reflects the possibility of ABCG2 inhibition by drugs in humans at clinical dose.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>To further characterize the potent inhibition of ABCG2 by febuxostat, we compared the activity of ABCG2 in the presence of febuxostat and two well-known ABCG2 inhibitors; Ko143, a fumitremorgin C analog, and elacridar (GF120918). In the presence of 100 nM of each compound, the urate transport activities of ABCG2 were 20 &#x00B1; 3% with febuxostat, 75 &#x00B1; 10% with Ko143 and 92 &#x00B1; 10% with elacridar compared with the vehicle. These results indicate that the inhibitory effect of febuxostat against ABCG2 is stronger than those of these well-known ABCG2 inhibitors.</p>
<p>Next, we estimated the f<sub>u</sub>C<sub>max</sub> based on the general information from pharmaceutical industries as described in Section &#x201C;Materials and Methods&#x201D; (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>), and calculated the ratio of f<sub>u</sub>C<sub>max</sub>/IC<sub>50</sub>, as an indicator of the possible <italic>in vivo</italic> clinical inhibition of ABCG2 by each drug. A high f<sub>u</sub>C<sub>max</sub>/IC<sub>50</sub> value suggests that the drug has the potential to inhibit ABCG2 in humans. Among the 10 drugs we examined, benzbromarone and febuxostat had a relatively high f<sub>u</sub>C<sub>max</sub>/IC<sub>50</sub> value (benzbromarone and febuxostat, 0.99 and 3.4, respectively). Since febuxostat had the highest f<sub>u</sub>C<sub>max</sub>/IC<sub>50</sub> value and was expected to inhibit ABCG2 in humans, we proceeded to further analyze this drug.</p>
</sec>
<sec><title>Febuxostat Drastically Increased Intestinal Absorption of Sulfasalazine in WT Mice, But Not in <italic>Abcg2</italic> KO Mice</title>
<p>Our <italic>in vitro</italic> findings strongly suggested that febuxostat would inhibit ABCG2 <italic>in vivo</italic>. To examine this possibility, we investigated the inhibitory effect of febuxostat on the intestinal absorption of an ABCG2 substrate drug in WT and <italic>Abcg2</italic> KO mice. Prior to the <italic>in vivo</italic> analyses, we confirmed that febuxostat inhibited mouse Abcg2 <italic>in vitro</italic> in a similar manner to human ABCG2 as described above. The IC<sub>50</sub> value of febuxostat against the urate transport activity of mouse Abcg2 was 35 nM (<bold>Figure <xref ref-type="fig" rid="F3">3A</xref></bold>), which was comparable to that of human ABCG2 (IC<sub>50</sub>, 27 nM, <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>), indicating that febuxostat inhibited mouse Abcg2 as strongly as it did human ABCG2.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>Inhibition of mouse Abcg2 by febuxostat <italic>in vitro</italic> and <italic>in vivo</italic>.</bold> <bold>(A)</bold> Dose-dependent inhibition of mouse Abcg2 by febuxostat <italic>in vitro</italic>. The urate transport activities of mouse Abcg2 were measured in the presence of febuxostat at the indicated concentrations. Data are shown as the percentage of vehicle control (without febuxostat). Values are expressed as mean &#x00B1; SD (<italic>n</italic> = 3). <bold>(B)</bold> Time-dependent changes in sulfasalazine plasma concentration with the pre-administration of febuxostat. Twenty minutes after the oral administration of febuxostat (<italic>n</italic> = 4) or vehicle (<italic>n</italic> = 7), sulfasalazine was orally administered to WT mice. The blood samples were collected at the indicated periods, and the plasma concentrations of sulfasalazine were determined using LC/MS/MS. Values are expressed as mean &#x00B1; SEM. <bold>(C)</bold> AUC <sub>0-120 min</sub> of sulfasalazine in WT and <italic>Abcg2</italic> KO mice with or without pre-administration of febuxostat. Twenty minutes after the oral administration of febuxostat (<italic>n</italic> = 4 for both WT and <italic>Abcg2</italic> KO) or vehicle (<italic>n</italic> = 7 and 5 for WT and <italic>Abcg2</italic> KO, respectively), sulfasalazine was orally administered to WT and <italic>Abcg2</italic> KO mice. The blood samples were collected at 15, 30, 60, 90, and 120 min and then the plasma concentrations of sulfasalazine were determined using LC/MS/MS. AUC <sub>0-120 min</sub> was determined for each group using the well-used trapezoidal rule. Values are expressed as mean &#x00B1; SEM. Statistical analyses for significant differences were performed using two-way ANOVA followed by Tukey&#x2013;Kramer method; <sup>&#x2217;</sup><italic>p</italic> &#x003C; 0.05 <italic>vs.</italic> vehicle control WT mice; N.S., not significantly different among groups.</p></caption>
<graphic xlink:href="fphar-07-00518-g003.tif"/>
</fig>
<p>To examine whether febuxostat inhibited Abcg2 <italic>in vivo</italic>, we focused on its effect on the absorption of sulfasalazine, an ABCG2 substrate, in the intestine where ABCG2 acts as a gatekeeper for xenobiotics. It is noteworthy that the intestinal absorption of sulfasalazine majorly depends on the ABCG2 function in both humans and mice (<xref ref-type="bibr" rid="B61">Zaher et al., 2006</xref>; <xref ref-type="bibr" rid="B58">Yamasaki et al., 2008</xref>). First, we addressed the time-dependent changes in the plasma concentration of orally administered sulfasalazine in WT mice. In WT mice pretreated with febuxostat, the plasma concentration of sulfasalazine was significantly higher than that in control mice at every time point (<bold>Figure <xref ref-type="fig" rid="F3">3B</xref></bold>).</p>
<p>We then performed similar experiments using <italic>Abcg2</italic> KO mice and calculated the AUC of sulfasalazine. In WT mice, the administration of febuxostat increased the AUC of sulfasalazine (<bold>Figure <xref ref-type="fig" rid="F3">3C</xref></bold>). On the other hand, in <italic>Abcg2</italic> KO mice, febuxostat did not increase the AUC of sulfasalazine. Moreover, there was no significant difference in the AUC of sulfasalazine among three groups; febuxostat-treated WT mice, vehicle-treated <italic>Abcg2</italic> KO mice and febuxostat-treated <italic>Abcg2</italic> KO mice. These results suggest that febuxostat enhanced the absorption of orally administered sulfasalazine by inhibiting Abcg2 <italic>in vivo</italic>.</p>
</sec>
<sec><title>Febuxostat Hardly Affected URAT1-Mediated Transport of Urate</title>
<p>Some of the SUA-affecting drugs we investigated hardly affected ABCG2 function (<bold>Figure <xref ref-type="fig" rid="F1">1C</xref></bold>), while their effects on other urate transporters remained unclear. Therefore, we focused on URAT1, another physiologically important urate transporter recognized as a pharmacological target of SUA-lowering drugs, and compared the effects of the drugs on ABCG2 and URAT1.</p>
<p>To evaluate the effect of SUA-affecting drugs on the urate transport activity of URAT1, we established an <italic>in vitro</italic> assay system for the urate transport activity with 293A cells transiently expressing URAT1. The expression of URAT1 in the 293A cells was confirmed by western blot analysis (<bold>Figure <xref ref-type="fig" rid="F4">4A</xref></bold>). Then, we measured the amount of [8-<sup>14</sup>C]-urate incorporated into URAT1-expressing 293A cells for 0&#x2013;120 s (<bold>Figure <xref ref-type="fig" rid="F4">4B</xref></bold>). The result showed that the urate transport activity in URAT1-expressing cells was more than fivefold higher than that in the mock cells, and the amount of incorporated urate increased in a time-dependent manner. Then, we evaluated the effect of drugs on the URAT1 activity for 20 s in subsequent investigations.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><bold>Inhibitory effect of serum uric acid (SUA)-affecting drugs on the urate transport activities mediated by ABCG2 and URAT1.</bold> <bold>(A)</bold> Expression of FLAG-URAT1 on 293A cells. Whole cell lysates (30 &#x03BC;g) of transient FLAG-URAT1-expressing 293A cells were subjected to western blot analysis using anti-FLAG or anti-Na<sup>+</sup>/K<sup>+</sup>-ATPase antibody. <bold>(B)</bold> Time-dependent increase of urate transport into FLAG-URAT1-expressing 293A cells. Values are expressed as mean &#x00B1; SD (<italic>n</italic> = 3). <bold>(C)</bold> Effects of each SUA-affecting drug on the urate transport activities of ABCG2 and URAT1. The urate transport activities of ABCG2 and URAT1 were evaluated in the presence of 3 &#x03BC;M of each SUA-affecting drug. Data are shown as the percentage of vehicle control (without drugs). Values are expressed as mean &#x00B1; SD (<italic>n</italic> = 3). Individual data for each drug are shown in <bold>Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref></bold>.</p></caption>
<graphic xlink:href="fphar-07-00518-g004.tif"/>
</fig>
<p>We compared the effect of each SUA-affecting drug (final concentration 3 &#x03BC;M) on the urate transport activity of ABCG2 and URAT1 (<bold>Figure <xref ref-type="fig" rid="F4">4C</xref></bold>; <bold>Supplementary Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref></bold>). Among the 25 SUA-affecting drugs, only benzbromarone strongly inhibited both ABCG2 and URAT1. The urate transport activities of ABCG2 and URAT1 in the presence of 3 &#x03BC;M benzbromarone were 13 &#x00B1; 2% and 12 &#x00B1; 5%, respectively, compared to the vehicle control. On the other hand, febuxostat and topiroxostat did not affect the urate transport activity of URAT1, although they potently inhibited ABCG2. The rest of the investigated drugs had little effect on both ABCG2 and URAT1 at 3 &#x03BC;M.</p>
</sec>
</sec>
<sec><title>Discussion</title>
<p>In the present study, we examined the effects of 25 SUA-affecting drugs on the transport activity of ABCG2 in an attempt to identify a new chemical modulator of ABCG2 function from drugs on the market. The results of the <italic>in vitro</italic> screening identified 10 drugs that had inhibitory effects on ABCG2 function while the screening library did not contain drugs that strongly enhanced ABCG2 function. Further analyses demonstrated that febuxostat inhibited ABCG2 <italic>in vitro</italic> at clinical concentrations (<bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>; <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>) and <italic>in vivo</italic> in the murine intestine (<bold>Figure <xref ref-type="fig" rid="F3">3</xref></bold>). Based on these <italic>in vitro</italic> and <italic>in vivo</italic> findings, it is possible that febuxostat has potential to inhibit ABCG2 in humans. It is worth noting that the inhibitory effect of febuxostat against ABCG2 was more potent than those of two well-known ABCG2 inhibitors, Ko143 and elacridar. This means that febuxostat has advantages not only in the safety but also in the inhibitory ability against ABCG2 as compared with those two ABCG2 inhibitors. Accordingly, in our opinion, febuxostat would be the most promising ABCG2 inhibitor in humans.</p>
<p>The deliberate administration of febuxostat as an ABCG2 inhibitor could contribute to improving the pharmacokinetics and efficacy of ABCG2 substrate drugs (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). Subjects with <italic>ABCG2</italic> SNPs, which lower ABCG2 function, reportedly exhibit higher bioavailability of ABCG2 substrates such as sulfasalazine (<xref ref-type="bibr" rid="B58">Yamasaki et al., 2008</xref>) and rosuvastatin (<xref ref-type="bibr" rid="B24">Keskitalo et al., 2009</xref>) than subjects with <italic>ABCG2</italic> WT. Therefore, febuxostat could induce a similar effect on the drug absorption in humans. In this regard, the present study provided supportive data demonstrating the febuxostat-dependent enhancement of intestinal absorption of sulfasalazine in mice (<bold>Figure <xref ref-type="fig" rid="F3">3</xref></bold>). In pharmaceutical fields, taking advantages of inhibitory effect of ritonavir on CYP3A4, enhanced bioavailability of CYP3A4 substrate drugs is achieved by co-administration of ritonavir, which is known as ritonavir-boosting (<xref ref-type="bibr" rid="B25">Larson et al., 2014</xref>). Similarly, we propose here the possibility that febuxostat has considerable potential benefits in the form of a febuxostat-boosted therapy, which should be validated in future clinical investigations.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p><bold>Summary of potential effects of inhibiting ABCG2 <italic>in vivo</italic>.</bold> <bold>(A)</bold> Schematic illustration of potential precautions and putative application of febuxostat as an ABCG2 inhibitor. <bold>(B)</bold> Schematic illustration of canceled out mechanism of benzbromarone, febuxostat and topiroxostat as SUA-lowering drugs. ALA, 5-aminolevulinic acid; Feb, febuxostat; Top, topiroxostat; Ben, benzbromarone.</p></caption>
<graphic xlink:href="fphar-07-00518-g005.tif"/>
</fig>
<p>Moreover, the <italic>in vivo</italic> inhibition of ABCG2 could also be useful in cancer therapy (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). Since <italic>ABCG2</italic> is one of the genes responsible for the development of MDR in cancer cells, the inhibition of ABCG2 could enhance the efficacy of chemotherapy, leading to an efficient accumulation of anticancer agents. In addition, ABCG2 is involved in the efflux of photosensitizers in 5-aminolevulinic acid-based photodynamic therapy (PDT) and photodynamic diagnosis (PDD) (<xref ref-type="bibr" rid="B16">Ishikawa et al., 2015</xref>; <xref ref-type="bibr" rid="B38">Palasuberniam et al., 2015</xref>). Considering that ABCG2 is expressed in cancer cells, febuxostat might enhance the efficacies of PDT/PDD by accumulating photosensitizers in the target cells.</p>
<p>Febuxostat-dependent impairment of ABCG2 function might have harmful effects as a risk factor for adverse events in combination medications (<bold>Figure <xref ref-type="fig" rid="F5">5A</xref></bold>). For instance, while the efficacy of rosuvastatin would be enhanced by ABCG2 inhibition as described above, excess administration of rosuvastatin could induce rhabdomyolysis, a well-known severe adverse event (<xref ref-type="bibr" rid="B27">Magni et al., 2015</xref>). A similar concern has been raised with sunitinib, which could induce hand-foot skin reactions at high doses (<xref ref-type="bibr" rid="B33">Mizuno et al., 2010</xref>; <xref ref-type="bibr" rid="B29">Massey et al., 2015</xref>). Therefore, if febuxostat is co-administered with rosuvastatin or sunitinib and subsequently inhibits ABCG2, the bioavailability and plasma concentration of these drugs could be increased, resulting in an increased risk of adverse events. Hence, the physiological condition of the subjects administered febuxostat and ABCG2 substrate drugs should be monitored carefully. If the symptoms of adverse events are observed, a dose reduction of the ABCG2 substrate drugs should be considered.</p>
<p>Indeed, febuxostat, an SUA-lowering drug, could be clinically used with rosuvastatin and sunitinib. Rosuvastatin is a well-used drug in patients with dyslipidemia, likely to be complicated by hyperuricemia. Namely, there are numerous patients who are afflicted with these two lifestyle-related diseases, suggesting the possibility of simultaneous administration of rosuvastatin and febuxostat. In the case of sunitinib, we should mention the recent approval of febuxostat for the prevention of tumor lysis syndrome (TLS) in Europe and Japan. TLS is an oncogenic emergency resulting in metabolic disturbances including drastic increases in SUA levels. Considering the risk of TLS in chemotherapy with sunitinib (<xref ref-type="bibr" rid="B34">Nicholaou et al., 2007</xref>), the co-administration of febuxostat with sunitinib would increase in the near future.</p>
<p>The clinical prospects of febuxostat as an ABCG2 inhibitor should be confirmed by clinical investigations in future to compensate the limitation in the translational implication of the current study. Considering the diversity of substrate specificity in ABC transporters that is responsible for the multidrug efflux (<xref ref-type="bibr" rid="B9">Haimeur et al., 2004</xref>; <xref ref-type="bibr" rid="B45">Szakacs et al., 2006</xref>; <xref ref-type="bibr" rid="B50">Toyoda et al., 2008</xref>; <xref ref-type="bibr" rid="B7">Giacomini et al., 2010</xref>), the inhibitory effect of febuxostat on the other ABC transporters such as ABCB1 (known as P-glycoprotein) and ABCCs would be of interest. In the case of the development of ABCB1 inhibitors, despite the presence of a number of potential candidates, there have been no clinically approved substances because of their intolerable adverse effects and/or insufficient efficacy. Thus, clinical studies for the evaluation of the combination use of febuxostat should be carefully conducted with attention to unpredictable adverse events and its efficacy.</p>
<p>Focusing on urate kinetics, our results suggest that existing SUA-lowering drugs should have a room for improvement in efficacy. To develop more effective SUA-lowering drugs, the biological effect of the candidates should be carefully assessed not only on their primary molecular targets but also on other urate transporters or metabolic enzymes. Approved SUA-lowering drugs function as inhibitors of either xanthine oxidase (XO), a urate production enzyme, or URAT1. Allopurinol, the oldest XO inhibitor, has been used for patients with hyperuricemia over the last half-century (<xref ref-type="bibr" rid="B53">Watts et al., 1965</xref>), even though this drug has a risk of severe adverse events such as aplastic anemia (<xref ref-type="bibr" rid="B2">Arellano and Sacristan, 1993</xref>). The safety analyses of XO inhibitors in previous studies pointed out that both febuxostat and topiroxostat are superior to allopurinol (<xref ref-type="bibr" rid="B30">Matsumoto et al., 2011</xref>; <xref ref-type="bibr" rid="B47">Takano et al., 2005</xref>). However, the present study revealed the possibility that febuxostat and topiroxostat could inhibit ABCG2, resulting in the partial cancelation of their efficacy as a SUA-lowering drug (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>). Therefore, the SUA-lowering effects of these drugs might be weaker than expected because of their inhibition of ABCG2-mediated urate excretion. A similar inhibition pattern is also the case with benzbromarone, a URAT1 inhibitor (<bold>Figure <xref ref-type="fig" rid="F5">5B</xref></bold>). Since allopurinol, febuxostat, topiroxostat and benzbromarone are the major SUA-lowering drugs presently known, the development of SUA-lowering drugs that do not inhibit ABCG2 would be the next strategy for developing a more effective hyperuricemia therapy.</p>
</sec>
<sec><title>Conclusion</title>
<p>We demonstrated that febuxostat potently inhibited ABCG2 both <italic>in vitro</italic> and <italic>in vivo</italic>, suggesting that it could be the first clinical and safe ABCG2 inhibitor in humans. The possible drug&#x2013;drug interaction between febuxostat and ABCG2 substrate drugs would have both beneficial and harmful effects. Our successful demonstration is an example of the promising beneficial effects, which provided the proof of concept for the potential of febuxostat-boosting. To ensure the safe clinical application of febuxostat, further investigations in humans would be important.</p>
</sec>
<sec><title>Author Contributions</title>
<p>HsM, TT, and YT designed the research. HsM and YT conducted the all experiments. HsM, TT, and YT performed data analysis. All authors contributed to the writing and final approval of the manuscript.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>TT, HtM, KI, and HS have a patent pending. The other 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>
<p>This study was supported by the JSPS KAKENHI Grant Numbers 23689008 and 16H1808 to TT as well as 22136015 to HS. TT has received research grants from Gout Research Foundation, The Uehara Memorial Foundation, Mochida Memorial Foundation for Medical and Pharmaceutical Research, and The Takeda Medical Foundation. HsM is a JSPS research fellow.</p>
</ack>
<sec sec-type="supplementary material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fphar.2016.00518/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fphar.2016.00518/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.TIF" id="SM1" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink">
</supplementary-material>
</sec>
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</ref-list>
<glossary>
<title>Abbreviations</title>
<def-list id="DL1">
<def-item>
<term>ABC</term>
<def>
<p>ATP-binding cassette</p>
</def>
</def-item>
<def-item>
<term>ANOVA</term>
<def>
<p>analysis of variance</p>
</def>
</def-item>
<def-item>
<term>AUC</term>
<def>
<p>area under the blood concentration-time curve</p>
</def>
</def-item>
<def-item>
<term>C<sub>max</sub></term>
<def>
<p>maximum drug concentration</p>
</def>
</def-item>
<def-item>
<term>CYP</term>
<def>
<p>cytochrome P450</p>
</def>
</def-item>
<def-item>
<term>DMEM</term>
<def>
<p>Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium</p>
</def>
</def-item>
<def-item>
<term>DPM</term>
<def>
<p>disintegrations per minute</p>
</def>
</def-item>
<def-item>
<term>EGFP</term>
<def>
<p>enhanced green fluorescent protein</p>
</def>
</def-item>
<def-item>
<term>f<sub>u</sub></term>
<def>
<p>unbound fraction</p>
</def>
</def-item>
<def-item>
<term>IC<sub>50</sub></term>
<def>
<p>half-maximal inhibitory concentration</p>
</def>
</def-item>
<def-item>
<term>KO</term>
<def>
<p>knockout</p>
</def>
</def-item>
<def-item>
<term>LC/MS/MS</term>
<def>
<p>liquid chromatography-tandem mass spectrometry</p>
</def>
</def-item>
<def-item>
<term>MDR</term>
<def>
<p>multidrug resistance</p>
</def>
</def-item>
<def-item>
<term>PDD</term>
<def>
<p>photodynamic diagnosis</p>
</def>
</def-item>
<def-item>
<term>PDT</term>
<def>
<p>photodynamic therapy</p>
</def>
</def-item>
<def-item>
<term>SNP</term>
<def>
<p>single nucleotide polymorphism</p>
</def>
</def-item>
<def-item>
<term>SUA</term>
<def>
<p>serum uric acid</p>
</def>
</def-item>
<def-item>
<term>TLS</term>
<def>
<p>tumor lysis syndrome</p>
</def>
</def-item>
<def-item>
<term>URAT1</term>
<def>
<p>urate transporter 1</p>
</def>
</def-item>
<def-item>
<term>WT</term>
<def>
<p>wild-type</p>
</def>
</def-item>
<def-item>
<term>XO</term>
<def>
<p>xanthine oxidase</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>