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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="publisher-id">711126</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.711126</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>Preclinical Pharmacokinetics, Tissue Distribution, and Primary Safety Evaluation of Indo5, a Novel Selective Inhibitor of c-Met and Trks</article-title>
<alt-title alt-title-type="left-running-head">Luo et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Preclinical Pharmacokinetics Study of Indo5</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Teng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Fei-Xiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Ke</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Hui-Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shou-Guo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1422780/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1422776/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dou</surname>
<given-names>Gui-Fang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Ting</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Miao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhan</surname>
<given-names>Yi-Qun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/616603/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Xiao-Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Chang-Yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1340144/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Beijing Institute of Radiation Medicine, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>School of Basic Medical Sciences, Anhui Medical University, <addr-line>Hefei</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Pharmaceutical Engineering, School of Chemical Engineering and Technology, Tianjin University, <addr-line>Tianjin</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Institute of NBC Defence, <addr-line>Beijing</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/277275/overview">Abdur Rauf</ext-link>, University of Swabi, Pakistan</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/1242699/overview">Himanshu Kathuria</ext-link>, National University of Singapore, Singapore</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/930298/overview">Anees Ahmed Khalil</ext-link>, University of Lahore, Pakistan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Chang-Yan Li, <email>fmmli@163.com</email>Xiao-Ming Yang, <email>xiaomingyang@sina.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Predictive Toxicology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>711126</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>05</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Luo, Zhang, Zhao, Gao, Zhang, Wang, Dou, Liu, Yu, Zhan, Chen, Yang and Li.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Luo, Zhang, Zhao, Gao, Zhang, Wang, Dou, Liu, Yu, Zhan, Chen, Yang and Li</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>The compound [3-(1H-benzimidazol-2-methylene)-5-(2-methylphenylaminosulfo)-2-indolone], known as Indo5, is a novel selective inhibitor of c-Met and Trks, and it is a promising anticancer candidate against hepatocellular carcinoma (HCC). Assessing the pharmacokinetic properties, tissue distribution, and toxicity of Indo5 is critical for its medicinal evaluation. A series of sensitive and specific liquid chromatography-tandem mass spectrometry methods were developed and validated to determine the concentration of Indo5 in rat plasma and tissue homogenates. These methods were then applied to investigate the pharmacokinetics and tissue distribution of Indo5 in rats. After intravenous injection of Indo5, the maximum concentration (C<sub>max</sub>) and the time at which C<sub>max</sub> was reached (T<sub>max</sub>) were 1,565.3&#x20;&#xb1; 286.2&#xa0;ng/ml and 1&#xa0;min, respectively. After oral administration, C<sub>max</sub> and T<sub>max</sub> were 54.7&#x20;&#xb1; 10.4&#xa0;ng/ml and 2.0&#x20;&#xb1; 0.48&#xa0;h, respectively. We calculated the absolute oral bioavailability of Indo5 in rats to be 1.59%. Following intravenous injection, the concentrations of Indo5 in various tissues showed the following order: liver &#x3e; kidney &#x2248; heart &#x3e; lung &#x2248; large intestine &#x2248; small intestine &#x2248; stomach &#x3e; spleen &#x3e; brain &#x2248; testes; hence, Indo5 distributed highest in the liver and could not cross the blood&#x2013;brain or blood&#x2013;testes barriers. Continuous injection of Indo5 for 21&#xa0;days did not lead to liver injury, considering unchanged ALT and AST levels, normal histological architecture of the liver, and normal number and frequencies of immune cells in the liver, indicating a very low toxicity of Indo5&#x20;<italic>in vivo</italic>. Collectively, our findings provide a comprehensive understanding of the biological actions of Indo5&#x20;<italic>in vivo and further support</italic> its development as an antitumor treatment for HCC patients.</p>
</abstract>
<kwd-group>
<kwd>Indo5</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>tissue distribution</kwd>
<kwd>toxicity</kwd>
<kwd>pharmacokinetic study</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) accounts for about 80&#x2013;90% of primary liver cancers (<xref ref-type="bibr" rid="B21">Llovet et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B25">Pan et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B30">Stewart and Wild, 2014</xref>; <xref ref-type="bibr" rid="B29">Sia et&#x20;al., 2017</xref>). The incidence and mortality rates of HCC have been increasing for decades, with approximately 800,000 new cases occurring every year worldwide (<xref ref-type="bibr" rid="B29">Sia et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B3">Bertot and Adams, 2019</xref>). Limited treatment options with marginal clinical benefits are available for patients with HCC. Systemic therapy, particularly in the form of conventional cytotoxic drugs, is, in general, ineffective. In recent years, molecular-targeted therapies have been used to treat various types of cancer, including liver cancer. This approach inhibits the growth of tumor cells by interfering with molecules involved in carcinogenesis; thus, molecular-targeted therapy is more selective and specific than cytotoxic chemotherapy (<xref ref-type="bibr" rid="B2">Alqahtani et&#x20;al., 2019</xref>). The first targeted, systemic therapy approved for the treatment of advanced HCC by the US Food and Drug Administration (FDA) in 2007 was based on the multi-tyrosine kinase inhibitor sorafenib (<xref ref-type="bibr" rid="B28">Shen et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B31">Stotz et&#x20;al., 2015</xref>). Nevertheless, sorafenib continued to show severe treatment-related adverse effects, such as diarrhea, nausea, vomiting, anorexia, fatigue, hand-and-foot skin reactions, hypertension, bleeding risk, and kidney toxicity (<xref ref-type="bibr" rid="B21">Llovet et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B10">Cheng et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B18">Li et&#x20;al., 2015a</xref>). Regorafenib is the second-line targeted therapy for HCC and shows several adverse effects, such as severe liver injury, hemorrhage, gastrointestinal perforation, dermatological toxicity, and cardiac ischemia (<xref ref-type="bibr" rid="B13">George et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B8">Bruix et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B14">Grothey et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B7">Bruix et&#x20;al., 2017</xref>). The inability of HCC patients to tolerate adverse effects often leads to a reduction in the doses of these drugs or cessation of their use, thereby diminishing the treatment efficacy. Therefore, development of novel molecular-targeted therapies for HCC with low toxicity or fewer adverse effects is urgently required.</p>
<p>The compound (3-(1H-benzimidazol-2-methylene)-5-(2-methylphenylaminosulfo)-2-indolone), known as Indo5, is a novel lead compound containing an indolone core, which has been identified as a versatile scaffold for the development of protein kinase inhibitors (<xref ref-type="bibr" rid="B32">Sun et&#x20;al., 1998</xref>). Indo5 has been shown to selectively inhibit the kinase activities of c-Met, TrkA, and TrkB with a half-maximal inhibitory concentration of 14.37, 28, and 25&#xa0;nM, respectively, (<xref ref-type="bibr" rid="B22">Luo et&#x20;al., 2019</xref>). Indo5 has been shown to abrogate HGF-induced c-Met signaling activation and BDNF/NGF-induced Trks signaling activation, as well as c-Met or TrkB-mediated cell transformation and migration. Furthermore, Indo5 significantly decreases the growth of HCC cells in xenograft-transplanted mice and increases the survival of mice with hepatic orthotopic tumors. Those findings have indicated that Indo5 is associated with marked suppression of HCC cells co-expressing c-Met and Trks, which supports the clinical development of Indo5 as an antitumor treatment for HCC patients with co-active c-Met and Trks signaling. Hence, a thorough understanding of the biological actions of Indo5&#x20;<italic>in vivo</italic> is critical for its medical application.</p>
<p>Here, we investigate the preclinical pharmacokinetics, tissue distribution, and primary safety of Indo5&#x20;<italic>in vivo</italic>. Our findings further support its development as an antitumor treatment for HCC patients.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Chemicals and Reagents</title>
<p>Indo5 was synthesized as described previously (US Patent Number: 9642839B2). Its purity was determined using high-performance liquid chromatography (HPLC), and the compound was used as the reference standard because of its high purity (&#x3e;99%). The molecular structure of Indo5 was characterized using Fourier-transform infrared (FT-IR) spectroscopy, <sup>1</sup>H and <sup>13</sup>C nuclear magnetic resonance (<sup>1</sup>H and <sup>13</sup>C NMR), mass spectrometry (MS), and elemental analyses. These analyses were conducted at a laboratory specializing in pharmaceutical analysis.</p>
<p>The internal standard (IS), terfenadine, was purchased from Sigma-Aldrich (St. Louis, MO, United&#x20;States). HPLC-grade water was obtained from Watson&#x2019;s Food and Beverage (Guangzhou, China). HPLC-grade acetonitrile and HPLC-grade methanol were purchased from Thermo Fisher Scientific (Waltham, MA, United&#x20;States). HPLC-grade formic acid and dimethyl sulfoxide (DMSO) were obtained from Sigma-Aldrich. The anesthetic phenobarbital for veterinary use was acquired from Wuhan Dongkang Source Technology (Wuhan, China). Heparin (1000 UI/ml) and physiologic saline (0.9%) were purchased from Sinopharm Chemical Reagents (Shanghai, China).</p>
</sec>
<sec id="s2-2">
<title>Indo5 Formulation</title>
<p>Indo5 (10&#xa0;mg) was dissolved in 10&#xa0;ml DMSO. The formulation was a clear-yellow solution, which was vortexed for 3&#xa0;min and sterilized by passing through a 0.22-&#x3bc;m filter. A final concentration of 1&#xa0;mg/ml was obtained. The solution was stored at 4&#xb0;C and used to manufacture standards.</p>
</sec>
<sec id="s2-3">
<title>Animals</title>
<p>Male Wistar rats (300&#x20;&#xb1; 20&#xa0;g) and mice (5&#x2013;6&#xa0;weeks old) were purchased from Beijing Vital River Laboratory Animal Technology (Beijing, China) and allowed to acclimate to their surroundings for 7&#xa0;days. All of the animals were housed in individually ventilated cages in specific pathogen-free conditions at the animal facility of our institute. They were exposed to a 12-h light&#x2013;dark cycle and allowed free access to food and water. The protocol for animal experiments was approved by the Animal Ethics Committee of the Academy of Military Medical Science (Beijing, China), and all of the experiments were conducted in accordance with the National Institutes of Health guidelines.</p>
</sec>
<sec id="s2-4">
<title>Instrumentation and Analytical Conditions</title>
<sec id="s2-4-1">
<title>HPLC Conditions</title>
<p>Chromatography was undertaken on an LC-20AD series HPLC system (Shimadzu, Kyoto, Japan) equipped with a vacuum degasser, a binary pump, an autosampler, and a thermostat column oven. Separation of Indo5 was carried out on a Biobasic-18 column (5&#xa0;&#x3bc;m, 2.1&#xa0;mm &#xd7; 50&#xa0;mm; Thermo Fisher Scientific) at a flow rate of 500&#xa0;&#x3bc;l/min and column temperature of 30&#xb0;C. The injection volume was 10&#xa0;&#x3bc;l.</p>
</sec>
<sec id="s2-4-2">
<title>MS/MS Conditions</title>
<p>An API4000 quadrupole mass spectrometer (Sciex, Framingham, MA, United&#x20;States) was used for the analyses. The MS/MS conditions were as follows: gas temperature, 325&#xb0;C; drying gas flow, 7&#xa0;L/min; nebulizer pressure, 45&#xa0;psi; Vcap voltage, 3,500&#xa0;V; sheath-gas temperature, 350&#xb0;C; sheath-gas flow, 9&#xa0;L/min; and nozzle voltage, 0&#xa0;V. The transition for multiple reaction monitoring (MRM) was <italic>m/z</italic> 431.1&#x2192;232.2 for Indo5.</p>
<p>Data on drug concentration in blood were collected, processed, and analyzed using Analyst 1.6 (Sciex). A linear weighting factor &#x3d; 1/X<sup>2</sup> model was used to process the data. An individual drug concentration in blood lower than the lower limit of quantification (LLOQ) was marked as &#x201c;BQL&#x201d; and recorded as zero. The above-mentioned calculations were completed using Excel&#x2122; 2016 (Microsoft, Redmond, WA, United&#x20;States).</p>
</sec>
</sec>
<sec id="s2-5">
<title>Preparation of Calibration Standards and Quality Control Samples</title>
<p>Calibration standards were prepared daily by diluting stock solutions. Briefly, appropriate volumes of stock solution were spiked into 100&#xa0;&#x3bc;l of blank plasma and tissue homogenate. Then, the samples were vortexed for 3&#xa0;min. Next, appropriate volumes of acetonitrile were added until each sample reached a final volume of 500&#xa0;&#x3bc;l; these samples were centrifuged at 10,000&#xa0;g using an SL eight Small Benchtop Centrifuge (Thermo Fisher Scientific) for 10&#xa0;min at room temperature. Finally, the supernatant (40&#xa0;&#x3bc;l) was injected into the HPLC/MS system. Standard solutions were prepared in triplicate for seven calibration points, and the final concentrations obtained were 1, 2, 5, 20, 50, 100, and 500&#xa0;ng/ml.</p>
<p>Calibration curves were constructed in triplicate by plotting known concentrations of the standard <italic>versus</italic> the detector response area. In the same way, a separate set of stock solutions was prepared for QC samples to determine accuracy and precision.</p>
</sec>
<sec id="s2-6">
<title>Method Validation</title>
<p>The developed method was validated in accordance with the bioanalytical guidance from the FDA (FDA, Guidance for Industry Bioanalytical Method Validation, 2018), with determination of the following parameters: linearity; within-run and between-run accuracy and precision; recovery; LLOQ; limit of detection (LOD); selectivity; and stability.</p>
</sec>
<sec id="s2-7">
<title>Pharmacokinetic Studies</title>
<p>For intravenous (IV) treatment, Indo5 was dissolved in DMSO (solution, 1&#xa0;mg/ml) and injected into the lateral tail vein of rats (1&#xa0;mg/kg, <italic>n</italic>&#x20;&#x3d; 3). For intragastric treatment, Indo5 was dissolved in 5% CMC-Na (suspension, 20&#xa0;mg/ml). The rats were orally administered with Indo5 (100&#xa0;mg/kg, <italic>n</italic>&#x20;&#x3d; 3) using a 20-G gavage needle. All of the animals were given a standard diet 4&#xa0;h after the dosing. Blood samples (approximately 400&#xa0;&#x3bc;l) were collected from each rat and placed into heparinized tubes before the dosing, and at 5, 15, 30, 60, 120, 240, and 480&#xa0;min after the dosing. Plasma (100&#xa0;&#x3bc;l) was harvested by centrifuging blood samples at 3,600&#xa0;g for 10&#xa0;min at room temperature followed by immediate processing for the analyses.</p>
<sec id="s2-7-1">
<title>Sample Preparation</title>
<p>Briefly, 400&#xa0;&#x3bc;l acetonitrile was added to 100&#xa0;&#x3bc;l rat plasma or tissue homogenate, vortexed for 30&#xa0;s, and centrifuged at 10,000&#xa0;g for 10&#xa0;min at room temperature to precipitate proteins. Subsequently, the supernatant (40&#xa0;&#x3bc;l) was introduced into the HPLC/MS system. Plasma or tissue concentrations of Indo5 were determined using HPLC-MS/MS validated for pharmacokinetics.</p>
</sec>
<sec id="s2-7-2">
<title>Analyses of Pharmacokinetic Data</title>
<p>The plasma concentration&#x2013;time data obtained after intravenous and intragastric administrations were subjected to non-compartmental analyses based on the statistical moment theory. Pharmacokinetic parameters were calculated using WinNorlin 5.2 (Certara; <ext-link ext-link-type="uri" xlink:href="http://www.certara.com/">www.certara.com/</ext-link>). These parameters included the maximum plasma concentration (C<sub>max</sub>), time to reach C<sub>max</sub> (T<sub>max</sub>), elimination half-life (t<sub>1/2</sub>), area under the plasma concentration&#x2013;time curve from time zero to infinity (AUC<sub>0&#x2013;&#x221e;</sub>), mean residence time (MRT), and clearance (CL). The absolute oral bioavailability was calculated by dividing the AUC<sub>tot</sub> obtained from oral administration by the AUC<sub>tot</sub> obtained from IV administration, and the calculation was adjusted using the doses that had been administered <italic>via</italic> oral and IV routes.</p>
</sec>
</sec>
<sec id="s2-8">
<title>Tissue-Distribution Study</title>
<p>Twelve male Wistar rats were given a single dose of Indo5 (1&#xa0;mg/kg, IV). At 2, 5, 30, 60, 120, 480, and 720&#xa0;min after the dosing, a group of animals (<italic>n</italic>&#x20;&#x3d; 4 for each treatment time) was sacrificed. The liver, kidneys, heart, lungs, stomach, small intestine, small-intestine content, large intestine, large-intestine content, spleen, brain, and testes were dissected rapidly and harvested. All of the tissues were rinsed thoroughly in ice-cold physiologic saline to eliminate blood and other content. The tissues and contents were processed by homogenization with 0.9% saline in a 1:3&#xa0;(w/v) ratio. The preparation process for analyses was the same as that described for plasma.</p>
</sec>
<sec id="s2-9">
<title>Isolation of Mononuclear Cells From Mouse Liver</title>
<p>Freshly separated liver was rinsed in ice-cooled phosphate-buffered saline (PBS) and then placed on a 40-&#x3bc;m filter. We added an appropriate amount of RPMI-1640 medium containing 2% fetal bovine serum (FBS) and used the piston of a 5-ml syringe to squeeze the tissue blocks to the bottom of the screen until only fibrous tissue remained. The volume of cell suspension collected was 40&#xa0;ml. We centrifuged the cell suspension at 50&#xa0;g for 5&#xa0;min at 4&#xb0;C and collected the supernatant. Next, we centrifuged at 800&#xa0;g for 10&#xa0;min at 4&#xb0;C and discarded the supernatant. The precipitate was resuspended with a solution containing 40% Percoll&#x2122; (2&#xa0;ml of 90% Percoll with 2.5&#xa0;ml RPMI-1640 medium). We carefully added the suspension, using a capillary pipette, to a solution containing 70% Percoll (4&#xa0;ml of 90% Percoll with 1.12&#xa0;ml RPMI-1640 medium). Next, we centrifuged at 800&#xa0;g for 20&#xa0;min at 4&#xb0;C, removed the upper layer, took the middle layer, and added an appropriate amount of 2% FBS in RPMI-1640 medium to reach 15&#xa0;ml. Then, we undertook centrifugation at 800&#xa0;g for 10&#xa0;min at 4&#xb0;C, removed the supernatant, and transferred it to a fresh 1.5-ml Eppendorf&#x2122; tube. Next, it was centrifuged at 1800&#xa0;g for 5&#xa0;min at room temperature and dried with absorbent paper. We added 300&#xa0;&#x3bc;l of red blood cell (RBC) lysate for resuspension, lysed the RBCs for 3&#xa0;min at room temperature, added 1&#xa0;ml of RPMI-1640 medium with 2% FBS to stop the lysis, and centrifuged at 1800&#xa0;g for 5&#xa0;min at room temperature. An appropriate amount of PBS containing 2% FBS was added to resuspend the&#x20;cells.</p>
</sec>
<sec id="s2-10">
<title>Flow Cytometry</title>
<p>The cell suspension was added to a 1.5-ml Eppendorf tube, incubated with antibody for 30&#xa0;min at 4&#xb0;C in the dark, washed twice with 2% PBS, resuspended with 400&#xa0;&#x3bc;l of 2% PBS, and analyzed by flow cytometry. The antibodies used for labeling were as follows: cluster of differentiation (CD)3-PerCP-Cy5.5, NK1.1-FITC, B220-APC, CD11c-FITC, CD11b-APC, CD4-APC, CD8-PE, and CD69-PE/Cy7; they were obtained from eBioscience (San Diego, CA, United&#x20;States) or BD Biosciences (Franklin Lakes, NJ, United&#x20;States).</p>
</sec>
<sec id="s2-11">
<title>Histopathology</title>
<p>The tissues were fixed in 10% formalin and embedded in paraffin. Then, 4-&#x3bc;m-thick sections were stained with hematoxylin and eosin for histopathological and morphological analyses.</p>
</sec>
<sec id="s2-12">
<title>Statistical Analysis</title>
<p>All of the data were expressed as mean&#x20;&#xb1; standard deviation (SD) of at least three independent experiments. For comparisons between two groups, two-tailed Student&#x2019;s <italic>t</italic>-tests were performed. <italic>p</italic>&#x20;&#x3c; 0.05 was considered statistically significant. The data were analyzed and graphed using GraphPad Prism&#x20;6.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Method Validation</title>
<p>
<italic>Selectivity</italic>. Six blank samples of each matrix (plasma and tissues) were analyzed to evaluate the selectivity of our method. The samples were prepared in accordance with the method we developed. The blank samples were spiked with a standard solution of Indo5 and IS, and then analyzed; typical MRM chromatograms are shown in <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>. Our method demonstrated high selectivity given that there was no interference in the analyte peaks with those obtained using standards or the&#x20;IS.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Typical LC-MS/MS MRM chromatograms of Indo5 (<italic>m/z</italic> 431.165/232.2) and IS (<italic>m/z</italic> 472.3/436.3) in plasma. <bold>(A)</bold> blank plasma; <bold>(B)</bold> Indo5; <bold>(C)</bold> IS.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g001.tif"/>
</fig>
<p>
<italic>Linearity</italic>. Linearity was tested using calibration curves by spiking blank plasma and tissues at eight concentration levels. All of the calibration curves for Indo5 in plasma or tissue were linear over the concentration range 1&#x2013;500&#xa0;ng/ml with a correlation coefficient (<italic>r</italic>) &#x3e; 0.99 (<xref ref-type="table" rid="T1">Table&#x20;1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Calibration curve and correlation coefficients of Indo5 in biological samples.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Matrix</th>
<th align="center">Calibration curve</th>
<th align="center">Correlation coefficient (R)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Plasma</td>
<td align="char" char="+">y &#x3d; 1.0016x &#x2b; 0.1253</td>
<td align="char" char=".">0.9992</td>
</tr>
<tr>
<td align="left">Liver</td>
<td align="char" char="+">y &#x3d; 0.00101055x &#x2b; 0.000254539</td>
<td align="char" char=".">0.9976</td>
</tr>
<tr>
<td align="left">Kidney</td>
<td align="char" char="+">y &#x3d; 0.000976907x &#x2b; 0.00151646</td>
<td align="char" char=".">0.9957</td>
</tr>
<tr>
<td align="left">Heart</td>
<td align="char" char="+">y &#x3d; 0.00102639x &#x2b; 0.000248108</td>
<td align="char" char=".">0.9968</td>
</tr>
<tr>
<td align="left">Lung</td>
<td align="char" char="&#x2212;">y &#x3d; 0.000973661x &#x2212; 0.000100517</td>
<td align="char" char=".">0.9938</td>
</tr>
<tr>
<td align="left">Stomach</td>
<td align="char" char="+">y &#x3d; 0.001531x &#x2b; 0.00403645</td>
<td align="char" char=".">0.9947</td>
</tr>
<tr>
<td align="left">Small intestine</td>
<td align="char" char="+">y &#x3d; 0.00284016x &#x2b; 0.00909608</td>
<td align="char" char=".">0.9968</td>
</tr>
<tr>
<td align="left">Large intestine</td>
<td align="char" char="+">y &#x3d; 0.00233707x &#x2b; 0.00832539</td>
<td align="char" char=".">0.9916</td>
</tr>
<tr>
<td align="left">Spleen</td>
<td align="char" char="+">y &#x3d; 0.00258944x &#x2b; 0.0060807</td>
<td align="char" char=".">0.9964</td>
</tr>
<tr>
<td align="left">Brain</td>
<td align="char" char="+">y &#x3d; 0.00421543x &#x2b; 0.0034438</td>
<td align="char" char=".">0.995</td>
</tr>
<tr>
<td align="left">Testis</td>
<td align="char" char="+">y &#x3d; 0.00713123x &#x2b; 0.0174964</td>
<td align="char" char=".">0.993</td>
</tr>
<tr>
<td align="left">Small-intestine content</td>
<td align="char" char="+">y &#x3d; 0.00258989x &#x2b; 0.00451089</td>
<td align="char" char=".">0.9976</td>
</tr>
<tr>
<td align="left">Large-intestine content</td>
<td align="char" char="+">y &#x3d; 0.00384958x &#x2b; 0.00737813</td>
<td align="char" char=".">0.9951</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<italic>Accuracy and precision</italic>. Accuracy and precision were evaluated at LLOQ, as well as low, medium, and high levels, with five replicates, on three separate days. The accuracy of detecting Indo5 in plasma and tissues was 85.5&#x2013;112.5%. Within-run and between-run precision was &#x3c;15% (<xref ref-type="table" rid="T2">Table&#x20;2</xref>). These results all met the criteria set by the&#x20;FDA.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Accuracy, within-run and between-run precision for Indo5 in rat plasma and tissues.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Matrix</th>
<th rowspan="2" align="center">QC level</th>
<th rowspan="2" align="center">Nominal concentration (ng/ml)</th>
<th rowspan="2" align="center">Accuracy (%)</th>
<th colspan="2" align="center">Precision (CV<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> %)</th>
</tr>
<tr>
<th align="center">Within-run (<italic>n</italic>&#x20;&#x3d; 5)</th>
<th align="center">Between-run (<italic>n</italic>&#x20;&#x3d; 5)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">Plasma</td>
<td align="left">LLOQ<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="char" char=".">1</td>
<td align="char" char=".">88.3</td>
<td align="char" char=".">4.3</td>
<td align="char" char=".">14</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">92</td>
<td align="char" char=".">7.9</td>
<td align="char" char=".">11.7</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">90</td>
<td align="char" char=".">6.6</td>
<td align="char" char=".">8.4</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">97</td>
<td align="char" char=".">2</td>
<td align="char" char=".">5.2</td>
</tr>
<tr>
<td rowspan="4" align="left">Liver</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">86.1</td>
<td align="char" char=".">12.4</td>
<td align="char" char=".">13.2</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">105.8</td>
<td align="char" char=".">1.2</td>
<td align="char" char=".">9.1</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">94.4</td>
<td align="char" char=".">2</td>
<td align="char" char=".">4.8</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">101.2</td>
<td align="char" char=".">3.4</td>
<td align="char" char=".">6</td>
</tr>
<tr>
<td rowspan="4" align="left">Kidney</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">110</td>
<td align="char" char=".">5.4</td>
<td align="char" char=".">14.6</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">103</td>
<td align="char" char=".">6.8</td>
<td align="char" char=".">3.6</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.4</td>
<td align="char" char=".">7.4</td>
<td align="char" char=".">13.9</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">102.7</td>
<td align="char" char=".">2.6</td>
<td align="char" char=".">3.9</td>
</tr>
<tr>
<td rowspan="4" align="left">Heart</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">86.5</td>
<td align="char" char=".">12.7</td>
<td align="char" char=".">12.9</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">106.2</td>
<td align="char" char=".">9.4</td>
<td align="char" char=".">11.7</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">111.3</td>
<td align="char" char=".">4.7</td>
<td align="char" char=".">6.4</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">97.9</td>
<td align="char" char=".">2.7</td>
<td align="char" char=".">4.1</td>
</tr>
<tr>
<td rowspan="4" align="left">Lung</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">85.8</td>
<td align="char" char=".">12.7</td>
<td align="char" char=".">12.8</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">100.5</td>
<td align="char" char=".">7.8</td>
<td align="char" char=".">10.9</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">93.2</td>
<td align="char" char=".">10.4</td>
<td align="char" char=".">11.6</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">97.2</td>
<td align="char" char=".">6.3</td>
<td align="char" char=".">9.5</td>
</tr>
<tr>
<td rowspan="4" align="left">Stomach</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">85.5</td>
<td align="char" char=".">14.3</td>
<td align="char" char=".">13.9</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">107.7</td>
<td align="char" char=".">6.1</td>
<td align="char" char=".">14.1</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">107.4</td>
<td align="char" char=".">6</td>
<td align="char" char=".">7.5</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">101.7</td>
<td align="char" char=".">8.6</td>
<td align="char" char=".">3.2</td>
</tr>
<tr>
<td rowspan="4" align="left">Small intestine</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">112.4</td>
<td align="char" char=".">9.7</td>
<td align="char" char=".">14.7</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">94.6</td>
<td align="char" char=".">2.6</td>
<td align="char" char=".">6.5</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">104.2</td>
<td align="char" char=".">3.1</td>
<td align="char" char=".">3.7</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">102.9</td>
<td align="char" char=".">2.5</td>
<td align="char" char=".">3.9</td>
</tr>
<tr>
<td rowspan="4" align="left">Large intestine</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">113.5</td>
<td align="char" char=".">4.1</td>
<td align="char" char=".">9.3</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">91.4</td>
<td align="char" char=".">2.7</td>
<td align="char" char=".">8.9</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">98.3</td>
<td align="char" char=".">4.6</td>
<td align="char" char=".">10.9</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">106.6</td>
<td align="char" char=".">3.8</td>
<td align="char" char=".">6.5</td>
</tr>
<tr>
<td rowspan="4" align="left">Spleen</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">87.6</td>
<td align="char" char=".">10.3</td>
<td align="char" char=".">9.6</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">91.3</td>
<td align="char" char=".">3.5</td>
<td align="char" char=".">3.9</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">94.2</td>
<td align="char" char=".">2.7</td>
<td align="char" char=".">10.1</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">105.9</td>
<td align="char" char=".">3.3</td>
<td align="char" char=".">7.5</td>
</tr>
<tr>
<td rowspan="4" align="left">Brain</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">88.6</td>
<td align="char" char=".">12.8</td>
<td align="char" char=".">12.5</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">112.1</td>
<td align="char" char=".">8</td>
<td align="char" char=".">11.5</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">95.4</td>
<td align="char" char=".">3.3</td>
<td align="char" char=".">10.7</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">101</td>
<td align="char" char=".">4.3</td>
<td align="char" char=".">5.1</td>
</tr>
<tr>
<td rowspan="4" align="left">Testis</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">111.8</td>
<td align="char" char=".">8.8</td>
<td align="char" char=".">13.9</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">99</td>
<td align="char" char=".">3.6</td>
<td align="char" char=".">9.8</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">104.3</td>
<td align="char" char=".">8.5</td>
<td align="char" char=".">10.3</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">102.9</td>
<td align="char" char=".">3.2</td>
<td align="char" char=".">2.4</td>
</tr>
<tr>
<td rowspan="4" align="left">Small-intestine content</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">111</td>
<td align="char" char=".">14.7</td>
<td align="char" char=".">12.2</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">92.7</td>
<td align="char" char=".">7.2</td>
<td align="char" char=".">10.4</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">106.4</td>
<td align="char" char=".">2.4</td>
<td align="char" char=".">2.9</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">98.3</td>
<td align="char" char=".">4</td>
<td align="char" char=".">3.7</td>
</tr>
<tr>
<td rowspan="4" align="left">Large-intestine content</td>
<td align="left">LLOQ</td>
<td align="char" char=".">1</td>
<td align="char" char=".">89.2</td>
<td align="char" char=".">13.2</td>
<td align="char" char=".">13.9</td>
</tr>
<tr>
<td align="left">LOW</td>
<td align="char" char=".">5</td>
<td align="char" char=".">93.6</td>
<td align="char" char=".">8.6</td>
<td align="char" char=".">10.9</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="char" char=".">100</td>
<td align="char" char=".">106.2</td>
<td align="char" char=".">3.3</td>
<td align="char" char=".">9</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="char" char=".">500</td>
<td align="char" char=".">102.2</td>
<td align="char" char=".">4.7</td>
<td align="char" char=".">6.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>CV:coefficient of variation.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>LLOQ:lower limit of quantification.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>
<italic>Recovery and matrix-effect</italic>. Recovery was calculated by comparing the analytical results for the extracted samples with the corresponding extracts of blanks spiked with Indo5 after extraction. The recovery effect of Indo5 at three QC levels ranged from 87.3 to 95.7% in plasma, and from 85.6 to 105.2% in the tested tissue homogenates (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). The extraction recovery of IS in plasma and tissues was between 95.9 and 103.4%, indicating that protein precipitation as the sample preparation resulted in high and reproducible extraction efficiencies. The matrix effect of Indo5 at three QC levels ranged from 91.2 to 98.4% in plasma, and from 90.7 to 106.1% in the tissue homogenates, and the matrix effect of the IS in plasma and the tissues was between 93.6 and 104.5%, which indicated that there was no significant ion suppression or enhancement in the LC-MS/MS method (data not shown).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Recovery of Indo5 in rat plasma and tissues.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Matrix</th>
<th align="center">QC level</th>
<th align="center">Recovery % (CV<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>; <italic>n</italic>&#x20;&#x3d; 5)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">Plasma</td>
<td align="left">LOW</td>
<td align="center">87.3 (3.8%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">95.7 (5.9%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">94.1 (4.0%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Liver</td>
<td align="left">LOW</td>
<td align="center">92.7 (5.8%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">96.5 (2.8%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">103.2 (5.4%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Kidney</td>
<td align="left">LOW</td>
<td align="center">94 (4.7%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">101 (3.3%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">98.4 (6.1%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Heart</td>
<td align="left">LOW</td>
<td align="center">88.9 (2.4%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">102.9 (2.0%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">100.9 (5.7%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Lung</td>
<td align="left">LOW</td>
<td align="center">85.6 (6.5%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">89.3 (5.3%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">94.3 (2.6%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Stomach</td>
<td align="left">LOW</td>
<td align="center">95.4 (3.5%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">104 (6.0%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">93.1 (7.0%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Small intestine</td>
<td align="left">LOW</td>
<td align="center">86.2 (4.8%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">89 (7.3%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">94.7 (3.1%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Large intestine</td>
<td align="left">LOW</td>
<td align="center">89.5 (1.5%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">95.2 (3.0%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">101.2 (5.6%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Spleen</td>
<td align="left">LOW</td>
<td align="center">88.8 (4.4%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">96.3 (3.7%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">105.2 (2.3%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Brain</td>
<td align="left">LOW</td>
<td align="center">91.6 (3.2%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">96.9 (4.6%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">104.3 (5.4%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Testis</td>
<td align="left">LOW</td>
<td align="center">93.9 (3.6%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">96 (2.2%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">102.3 (1.4%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Small-intestine content</td>
<td align="left">LOW</td>
<td align="center">86.4 (6.2%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">98.1 (3.1%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">99.4 (5.5%)</td>
</tr>
<tr>
<td rowspan="3" align="left">Large-intestine content</td>
<td align="left">LOW</td>
<td align="center">86 (7.9%)</td>
</tr>
<tr>
<td align="left">MEDIUM</td>
<td align="center">90.7 (5.2%)</td>
</tr>
<tr>
<td align="left">HIGH</td>
<td align="center">100.7 (3.4%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn3">
<label>a</label>
<p>CV:coefficient of variation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Plasma Distribution</title>
<p>After IV (1&#xa0;mg/kg in DMSO) or oral (100&#xa0;mg/kg in 0.5% CMC-Na) administration of Indo5 to rats in each treatment group (<italic>n</italic>&#x20;&#x3d; 3), the plasma concentrations of Indo5 were determined using LC-MS/MS. The data obtained from each group were averaged. <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref> show the mean plasma concentration&#x2013;time curves for Indo5 after IV and oral administration, respectively. The corresponding pharmacokinetic parameters, calculated using a non-compartmental model are summarized in <xref ref-type="table" rid="T4">Table&#x20;4</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Plasma concentration&#x2013;time profiles after intravenous administration of Indo5 (1&#xa0;mg/kg) in rats (<italic>n</italic>&#x20;&#x3d; 3). Data are presented as the mean&#x20;&#xb1; SD.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Plasma concentration&#x2013;time profiles after oral administration of Indo5 (100&#xa0;mg/kg) in rats (<italic>n</italic>&#x20;&#x3d; 3). Data are presented as the mean&#x20;&#xb1; SD.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g003.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Main pharmacokinetic parameters of Indo5 following intravenous or oral administration.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameters</th>
<th align="center">Intravenous administration (IV) 1&#xa0;mg/kg</th>
<th align="center">Oral administration (p.o.) 100&#xa0;mg/kg</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">t<sub>1/2</sub> (h)</td>
<td align="char" char="plusmn">0.63&#x20;&#xb1; 0.11</td>
<td align="char" char="plusmn">1.25&#x20;&#xb1; 0.24</td>
</tr>
<tr>
<td align="left">T<sub>max</sub> (h)</td>
<td align="center">0.0167</td>
<td align="char" char="plusmn">2.0&#x20;&#xb1; 0.48</td>
</tr>
<tr>
<td align="left">C<sub>max</sub> (ng/ml)</td>
<td align="char" char="plusmn">1,565.3&#x20;&#xb1; 286.2</td>
<td align="char" char="plusmn">54.7&#x20;&#xb1; 10.4</td>
</tr>
<tr>
<td align="left">AUC<sub>0-t</sub> (h&#x2a;ng/ml)</td>
<td align="char" char="plusmn">158.6&#x20;&#xb1; 27.9</td>
<td align="char" char="plusmn">251.5&#x20;&#xb1; 43.5</td>
</tr>
<tr>
<td align="left">AUC<sub>0-&#x221e;</sub> (h&#x2a;ng/ml)</td>
<td align="char" char="plusmn">163.4&#x20;&#xb1; 28.3</td>
<td align="char" char="plusmn">255.7&#x20;&#xb1; 44.9</td>
</tr>
<tr>
<td align="left">Vd (ml/kg)</td>
<td align="char" char="plusmn">5,588&#x20;&#xb1; 9,433.8</td>
<td align="char" char="plusmn">706349&#x20;&#xb1; 106941.2</td>
</tr>
<tr>
<td align="left">CL (ml/h/kg)</td>
<td align="char" char="plusmn">6,121.6&#x20;&#xb1; 1,124.8</td>
<td align="char" char="plusmn">391056.4&#x20;&#xb1; 77,945.8</td>
</tr>
<tr>
<td align="left">MRT<sub>0-t</sub> (h)</td>
<td align="char" char="plusmn">0.18&#x20;&#xb1; 0.04</td>
<td align="char" char="plusmn">2.87&#x20;&#xb1; 0.61</td>
</tr>
<tr>
<td align="left">MRT<sub>0-&#x221e;</sub> (h)</td>
<td align="char" char="plusmn">0.26&#x20;&#xb1; 0.06</td>
<td align="char" char="plusmn">2.99&#x20;&#xb1; 0.63</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>After IV administration, the plasma concentrations of Indo5 were well above the LLOQ within 2&#xa0;h but, at 4&#xa0;h, Indo5 was not detected. For IV injection, T<sub>max</sub> was 1&#xa0;min, C<sub>max</sub> was 1,565.3&#x20;&#xb1; 286.2&#xa0;ng/ml, AUC<sub>0&#x2013;t</sub> was 158.6&#x20;&#xb1; 27.9&#xa0;h&#x22C5;ng/ml, AUC<sub>0&#x2013;&#x221e;</sub> was 163.4&#x20;&#xb1; 28.3&#xa0;h&#x22C5;ng/ml, MRT<sub>0&#x2013;t</sub> was 0.18&#x20;&#xb1; 0.04&#xa0;h, and MRT<sub>0&#x2013;&#x221e;</sub> was 0.26&#x20;&#xb1; 0.06&#xa0;h. T<sub>1/2</sub> was 0.63&#x20;&#xb1; 0.11&#xa0;h, indicating that Indo5 had a short half-life <italic>in vivo</italic>. Moreover, Indo5 displayed a high systemic CL (6,121.6&#x20;&#xb1; 1,124.8&#xa0;ml/h/kg) at the tested&#x20;dose.</p>
<p>After oral administration, the plasma concentrations of Indo5 were above the LLOQ within 8&#xa0;h. For oral administration, T<sub>max</sub> was 2.0&#x20;&#xb1; 0.48&#xa0;h, C<sub>max</sub> was 54.7&#x20;&#xb1; 10.4&#xa0;ng/ml, t<sub>1/2</sub> was 1.25&#x20;&#xb1; 0.24&#xa0;h, AUC<sub>0&#x2013;t</sub> was 251.5&#x20;&#xb1; 43.5&#xa0;h&#x22C5;ng/ml, AUC<sub>0&#x2013;&#x221e;</sub> was 255.7&#x20;&#xb1; 44.9&#xa0;h&#x22C5;ng/ml, MRT<sub>0&#x2013;t</sub> was 2.87&#x20;&#xb1; 0.61&#xa0;h, MRT<sub>0&#x2013;&#x221e;</sub> was 2.99&#x20;&#xb1; 0.63&#xa0;h, and CL was 391056.4&#x20;&#xb1; 77,945.8&#xa0;ml/h/kg. According to the value for AUC<sub>0&#x2013;&#x221e;</sub> for oral administration and IV injection at 100&#xa0;mg/kg, the bioavailability of Indo5 was&#x20;1.59%.</p>
<p>These results suggested that Indo5 was rapidly cleared from the plasma and had low bioavailability.</p>
</sec>
<sec id="s3-3">
<title>Tissue Distribution</title>
<p>The concentrations of Indo5 after IV administration (1&#xa0;mg/kg) in the liver, kidneys, lungs, heart, spleen, stomach, large intestine, small intestine, brain, and testes at the indicated times in rats are shown in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>. Indo5 was distributed rapidly and widely in the tested tissues in the following order: liver &#x3e; kidneys &#x2248; heart &#x3e; lungs &#x2248; large intestine &#x2248; small intestine &#x2248; stomach &#x3e; spleen &#x3e; brain &#x2248; testes. Indo5 was eliminated quickly from the tested tissues, and at 8&#xa0;h, it was not detectable anymore in the kidneys, heart, lungs, large intestine, small intestine, stomach, spleen, brain, or testes. Notably, the hepatic Indo5 concentration was higher than that in other tissues, and it was still detectable in the liver 8&#xa0;h post administration.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Indo5 concentration in different tissues following intravenous administration (1&#xa0;mg/kg) (<italic>n</italic>&#x20;&#x3d; 4) at the indicated time points in rats <bold>(A&#x2013;G)</bold>. Data are presented as the mean&#x20;&#xb1; SD. Two-tailed t&#x20;tests were performed. &#x2a;<italic>p &#x3c;</italic> 0.05, &#x2a;&#x2a;<italic>p &#x3c;</italic> 0.01, &#x2a;&#x2a;&#x2a;<italic>p &#x3c;</italic> 0.001 when compared to Indo5 concentration in the liver. <bold>(H)</bold> concentration&#x2013;time profiles of Indo5 in the indicated tissues.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g004.tif"/>
</fig>
<p>To verify the liver enrichment of Indo5, we measured the Indo5 concentration in the tissues after oral administration. Consistent with the results following IV administration, the highest concentration of Indo5 was found in the liver, and it was detectable 8&#xa0;h post administration (<xref ref-type="fig" rid="F5">Figure&#x20;5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Concentration&#x2013;time profiles after oral administration of Indo5 in the rat liver, kidneys, heart, and lungs at a dose of 100&#xa0;mg/kg (<italic>n</italic>&#x20;&#x3d; 3).</p>
</caption>
<graphic xlink:href="fphar-12-711126-g005.tif"/>
</fig>
<p>Taken together, these results suggested that Indo5 displayed an accumulated distribution in the liver <italic>in&#x20;vivo</italic>.</p>
</sec>
<sec id="s3-4">
<title>Toxicity</title>
<p>Given that Indo5 was most distributed in the liver and had significant antitumor activity in a xenograft model and hepatic orthotopic model in mice (<xref ref-type="bibr" rid="B22">Luo et&#x20;al., 2019</xref>), we investigated if continuous administration of Indo5 leads to liver injury. Indo5 was orally administered (p.o.) once daily for 21&#xa0;days, and we evaluated its toxicity. No obvious weight loss or other symptoms were observed with continuous injection of Indo5. The overall health of the animals was not adversely affected (data not shown). The levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in serum did&#x20;not change significantly after Indo5 administration (<xref ref-type="fig" rid="F6">Figures 6A,B</xref>; <italic>p</italic>&#x20;&#x3e; 0.05). Histological analysis of liver tissue revealed no pathological changes in Indo5-treated mice compared with the solvent-control group, <italic>i.e.</italic>, a normal lobular architecture with a central vein and radiating hepatic cords were observed (<xref ref-type="fig" rid="F6">Figure&#x20;6C</xref>). Often, liver injury leads to infiltration or activation of immune cells in liver tissue. We thus investigated the number of liver mononuclear cells and frequencies of various immune cells, including T&#x20;cells, natural killer cells, natural killer T&#x20;cells, B&#x20;cells, dendritic cells, and myeloid cells. The frequencies of T-cell subsets (CD4<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>) and activated T&#x20;cells (CD4<sup>&#x2b;</sup>CD69<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>CD69<sup>&#x2b;</sup>) were also measured. Continuous administration of Indo5 for 21&#xa0;days did not affect the number or frequencies of immune cells in the liver (<xref ref-type="fig" rid="F7">Figure&#x20;7</xref>; <italic>p</italic>&#x20;&#x3e;&#x20;0.05).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Effects of continuous administration of Indo5 for 21&#xa0;days on liver injury in mice. The mice were orally administered with Indo5 (60&#xa0;mg/kg, once daily) for 21&#xa0;days (<italic>n</italic>&#x20;&#x3d; 6). Serum levels of ALT <bold>(A)</bold> and AST <bold>(B)</bold> were measured at the indicated time points. At the indicated time, the mice were killed for histopathological examination of liver tissue <bold>(C)</bold>. Data are presented as the mean&#x20;&#xb1; SD. Two-tailed t&#x20;tests were performed. &#x2a;<italic>p &#x3c;</italic> 0.05 were regarded as statistically significant, compared with control&#x20;group.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Effects of continuous administration of Indo5 for 21&#xa0;days on the number and constitution of immune cells in the liver. The mice were orally administered with Indo5 (60&#xa0;mg/kg, once daily) for 21&#xa0;days (<italic>n</italic>&#x20;&#x3d; 6). On day 21, they were killed, and hepatic mononuclear cells were isolated. The number of liver mononuclear cells and frequencies of T&#x20;cells (CD3<sup>&#x2b;</sup>NK1.1<sup>&#x2212;</sup>), NK cells (CD3<sup>&#x2212;</sup>NK1.1<sup>&#x2b;</sup>), NKT&#x20;cells (CD3<sup>&#x2b;</sup>NK1.1<sup>&#x2b;</sup>), B&#x20;cells (CD19<sup>&#x2b;</sup>), DCs (CD11c<sup>&#x2b;</sup>CD11b<sup>&#x2212;</sup>), myeloid cells (CD11b<sup>&#x2b;</sup>CD11c<sup>&#x2212;</sup>), T-cell subsets (CD4<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>), and activated T&#x20;cells (CD4<sup>&#x2b;</sup>CD69<sup>&#x2b;</sup>, CD8<sup>&#x2b;</sup>CD69<sup>&#x2b;</sup>) were measured using flow cytometry. Data are presented as the mean&#x20;&#xb1; SD. Two-tailed t&#x20;tests were performed. All <italic>p</italic> values were greater than 0.05. There was no statistical significance in the number or frequencies of immune cells in the liver between the administration group and the control&#x20;group.</p>
</caption>
<graphic xlink:href="fphar-12-711126-g007.tif"/>
</fig>
<p>These results suggested that Indo5 did not show obvious toxicity.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Here, we developed a series of validated HPLC-MS/MS methods to measure the Indo5 concentration in plasma and tissue homogenates. To investigate Indo5 absorption, we measured the concentrations of Indo5 in rat plasma at different time intervals. After IV injection of Indo5, T<sub>max,</sub> and C<sub>max</sub> were 1&#x20;min and 1,565.3&#x20;&#xb1; 286.2&#xa0;ng/ml, respectively. C<sub>max</sub> of Indo5 in the oral-administration group was 54.7&#x20;&#xb1; 10.4&#xa0;ng/ml, and it occurred at 2.0&#x20;&#xb1; 0.48&#xa0;h. The absolute oral bioavailability of Indo5 in rats was 1.59%. The tissue-distribution study suggested that Indo5 accumulated in the liver and could not cross the blood&#x2013;brain or blood&#x2013;testes barriers. The toxicity study suggested that continuous injection of Indo5 for 21&#xa0;days did not lead to liver injury because the levels of ALT and AST were unchanged, normal histological architecture of the liver was preserved, and normal number and frequency of immune cells were found in the liver. Our findings provide a more complete understanding of the biological actions of Indo5, and also provide insights for the future modification of Indo5 formulations to increase bioavailability.</p>
<p>In general, the oral route for drug administration is considered more attractive than the IV route because of its greater convenience for patients and pharmacoeconomic advantages (<xref ref-type="bibr" rid="B20">Liu et&#x20;al., 1997</xref>; <xref ref-type="bibr" rid="B27">Schellens et&#x20;al., 2000</xref>; <xref ref-type="bibr" rid="B24">Oostendorp et&#x20;al., 2011</xref>)<italic>.</italic> We observed a low oral bioavailability of Indo5 (1.59%) at 100&#xa0;mg/kg, which might have been due to the low solubility and stability of this compound. Previous studies have reported that compounds with low solubility show low oral bioavailability, for example, paclitaxel (<xref ref-type="bibr" rid="B26">Rowinsky et&#x20;al., 1994</xref>; <xref ref-type="bibr" rid="B15">Huizing et&#x20;al., 1995</xref>), wogonin (<xref ref-type="bibr" rid="B33">Talbi et&#x20;al., 2014</xref>), and silymarin (<xref ref-type="bibr" rid="B4">Bijak, 2017</xref>; <xref ref-type="bibr" rid="B1">Abenavoli et&#x20;al., 2018</xref>). Low bioavailability is a major obstacle for biomedical applications of drugs. Therefore, finding a new formulation with high solubility in water and low cost is necessary. In recent years, considerable efforts have&#x20;been made to improve the oral absorption of insoluble drugs. Drug modifications, including the formation of salts,&#x20;esters, and complexes with hydrophilic excipients, have been used to optimize silymarin solubility (<xref ref-type="bibr" rid="B9">Chen et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B17">Javed et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B6">Bonif&#xe1;cio et&#x20;al., 2014</xref>). Most formulation strategies refer to complexation with cyclodextrins or phospholipids (&#x201c;phytosomes&#x201d;), solid dispersions stabilized by&#x20;biocompatible polymers, microemulsions, nanoemulsions, lipid-based delivery systems, biodegradable polymeric nanoparticles, and inorganic nanomaterials (<xref ref-type="bibr" rid="B5">Bilensoy et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B11">Dahmani et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B19">Li et&#x20;al., 2015b</xref>; <xref ref-type="bibr" rid="B16">Hussain et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B34">Yao et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B23">Ma and Williams, 2018</xref>). Further investigations are needed to improve the oral bioavailability of Indo5.</p>
<p>Investigating the tissue-specific distribution of a compound can reveal much information, including its potential side effects or possibilities for drug repositioning (<xref ref-type="bibr" rid="B12">Esch et&#x20;al., 2015</xref>). Here, we described the biodistribution pattern of Indo5. The highest concentration of Indo5 was detected in the liver after intravenous and oral dosing. Furthermore, Indo5 was not able to cross the blood&#x2013;brain barrier or blood&#x2013;testes barriers. The analysis of the toxicity of Indo5 in the liver suggested that continuous oral administration of Indo5 for 21&#xa0;days had no effect on serum levels of ALT or AST. Moreover, normal tissue architecture was preserved in the Indo5-treated group, and the number of hepatic mononuclear cells, the frequency of different immune-cell subsets, and the activation status of T&#x20;cells in the liver were unchanged. These data suggest that, even though Indo5 is most distributed in the liver, it does not cause significant toxicity. Taken together with the result that Indo5 demonstrates antitumor activity and improves overall survival in a mouse hepatic orthotopic model (<xref ref-type="bibr" rid="B22">Luo et&#x20;al., 2019</xref>), our findings imply that Indo5 may be helpful in HCC treatment.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Indo5, a selective inhibitor of c-Met and Trks, is mostly distributed in the liver <italic>in vivo</italic>. It shows no obvious toxicity or side effects in the liver, which further supports its development as an antitumor treatment for HCC patients.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Animal Ethics Committee of the Academy of Military Medical Science (Beijing, China).</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>TL: Formal analysis, data curation, and writing (original draft). F-XZ: Formal analysis and investigation. Y-QZ, S-GZ, and LW: Provided drugs and materials. G-FD: Formal analysis. KZ, H-YG, TL, MY, and HC: Assisted in animal experiments. X-MY and C-YL: Conception and study design, data analysis and interpretation, article writing, and final approval of the article.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported in part by the Ministry of Science and Technology of the People&#x2019;s Republic of China (2017YFA0103400), National Natural Science Foundation of China (81770108, 81273543), and the State Key Laboratory of Proteomics (SKLP-K201802, SKLP-O201804).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We thank LetPub (<ext-link ext-link-type="uri" xlink:href="http://www.letpub.com">www.letpub.com</ext-link>) for its linguistic assistance during the preparation of this manuscript.</p>
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