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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2016.00385</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Epidemiologic and Pharmacodynamic Cutoff Values of Tilmicosin against <italic>Haemophilus parasuis</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Peng</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/318640/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hao</surname> <given-names>Haihong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</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/144325/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ahmad</surname> <given-names>Ijaz</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/223155/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Guyue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/144336/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Dongmei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tao</surname> <given-names>Yanfei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Huang</surname> <given-names>Lingli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yulian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Dai</surname> <given-names>Menghong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Zhenli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Yuan</surname> <given-names>Zonghui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>National Reference Laboratory of Veterinary Drug Residues and MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University</institution> <country>Wuhan, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University</institution> <country>Wuhan, China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Hubei Collaborative Innovation Center for Animal Nutrition and Feed Safety, Huazhong Agricultural University</institution> <country>Wuhan, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: <italic>Fiona Walsh, National University of Ireland Maynooth, Ireland</italic></p></fn>
<fn fn-type="edited-by"><p>Reviewed by: <italic>Osmar Nascimento Silva, Dom Bosco Catholic University, Brazil; Leila Vali, Kuwait University, Kuwait</italic></p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x002A;Correspondence: <italic>Zonghui Yuan, <email>yuan5802@mail.hzau.edu.cn</email>; Haihong Hao, <email>haohaihong@mail.hzau.edu.cn</email></italic></p></fn>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup><italic>These authors have contributed equally to this work.</italic></p></fn>
<fn fn-type="other" id="fn003"><p>This article was submitted to Antimicrobials, Resistance and Chemotherapy, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>03</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>385</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>03</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016 Zhang, Hao, Li, Ahmad, Cheng, Chen, Tao, Huang, Wang, Dai, Liu and Yuan.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Zhang, Hao, Li, Ahmad, Cheng, Chen, Tao, Huang, Wang, Dai, Liu and Yuan</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>The aim of this study was to establish antimicrobial susceptibility breakpoints for tilmicosin against <italic>Haemophilus parasuis</italic>, which is an important pathogen of respiratory tract infections. The minimum inhibitory concentrations (MICs) of 103 <italic>H. parasuis</italic> isolates were determined by the agar dilution method. The wild type (WT) distribution and epidemiologic cutoff value (ECV) were evaluated by statistical analysis. The new bronchoaveolar lavage was used to establish intrapulmonary pharmacokinetic (PK) model in swine. The pharmacokinetic (PK) parameters of tilmicosin, both in pulmonary epithelial lining fluid (PELF) and in plasma, were determined using high performance liquid chromatography method and WinNonlin software. The pharmacodynamic cutoff (CO<sub>PD</sub>) was calculated using Monte Carlo simulation. Our results showed that 100% of WT isolates were covered when the ECV was set at 16 &#x03BC;g/mL. The tilmicosin had concentration-dependent activity against <italic>H. parasuis</italic>. The PK data indicated that tilmicosin concentrations in PELF was rapidly increased to high levels at 4 h and kept stable until 48 h after drug administration, while the tilmicosin concentration in plasma reached maximum levels at 4 h and continued to decrease during 4&#x2013;72 h. Using Monte Carlo simulation, CO<sub>PD</sub> was defined as 1 &#x03BC;g/mL. Conclusively, the ECV and CO<sub>PD</sub> of tilmicosin against <italic>H. parasuis</italic> were established for the first time based on the MIC distribution and PK-PD analysis in the target tissue, respectively. These values are of great importance for detection of tilmicosin-resistant <italic>H. parasuis</italic> and for effective treatment of clinical intrapulmonary infection caused by <italic>H. parasuis</italic>.</p>
</abstract>
<kwd-group>
<kwd>epidemiologic cutoff value</kwd>
<kwd>pharmacodynamic cutoff</kwd>
<kwd>bronchoaveolar lavage</kwd>
<kwd><italic>H. parasuis</italic></kwd>
<kwd>tilmicosin</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="8"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec><title>Introduction</title>
<p><italic>Haemophilus parasuis</italic>, a Gram-negative bacterium of the <italic>Pasteurella</italic> group of organisms, is a respiratory pathogens of pigs (<xref ref-type="bibr" rid="B17">Fu et al., 2013</xref>; <xref ref-type="bibr" rid="B26">Luan et al., 2013</xref>). It is mainly responsible for Gl&#x00E4;sser&#x2019;s disease, which is characterized by polyserositis, arthritis, and meningitis (<xref ref-type="bibr" rid="B19">Guo et al., 2011</xref>; <xref ref-type="bibr" rid="B31">Mullins et al., 2013</xref>; <xref ref-type="bibr" rid="B30">Moleres et al., 2015</xref>) and has caused large economic losses in the worldwide pig industry in recent years (<xref ref-type="bibr" rid="B42">Vilalta et al., 2012</xref>; <xref ref-type="bibr" rid="B47">Zehr et al., 2012</xref>).</p>
<p>Tilmicosin is a macrolide antibiotic for veterinary use, which is semi-synthesized by tylosin hydrolysate. Similar to other macrolides, this drug has a long half-life and maintains high concentrations both in lung and milk. Tilmicosin has high-activity against respiratory pathogens such as <italic>Pasteurella multocida</italic>, <italic>Actinobacillus pleuropneumoniae</italic>, and <italic>H. parasuis</italic> (<xref ref-type="bibr" rid="B13">DeRosa et al., 2000</xref>). In addition, the antimicrobial activity of tilmicosin is much better than that of tylosin (<xref ref-type="bibr" rid="B4">Ayling et al., 2000</xref>). Therefore, tilmicosin has broad clinical application for treatment of respiratory diseases in animals (<xref ref-type="bibr" rid="B16">Frank et al., 2000</xref>; <xref ref-type="bibr" rid="B32">Naccari et al., 2001</xref>; <xref ref-type="bibr" rid="B15">Fittipaldi et al., 2005</xref>).</p>
<p>Establishing the antimicrobial susceptibility breakpoint sets the basis for antimicrobial susceptibility testing and antimicrobial resistance surveillance. Although breakpoints of tilmicosin against <italic>P. multocida</italic> and <italic>A. pleuropneumoniae</italic> are available in Clinical and Laboratory Standards Institute (CLSI) standards, a breakpoint of tilmicosin against <italic>H. parasuis</italic> has not yet been established.</p>
<p>An appropriate antimicrobial susceptibility breakpoint is established by the interpretation of four main types of data (<xref ref-type="bibr" rid="B41">Turnidge and Paterson, 2007</xref>): (i) MIC distributions; (ii) resistance markers; (iii) PK/PD data of the target subjects; (iv) clinical data of wild type (WT) isolates which has no reported detectable resistance mechanisms (<xref ref-type="bibr" rid="B40">Turnidge et al., 2006</xref>). The statistical analysis are used in setting breakpoints (<xref ref-type="bibr" rid="B40">Turnidge et al., 2006</xref>; <xref ref-type="bibr" rid="B24">Kronvall, 2010</xref>; <xref ref-type="bibr" rid="B28">Meletiadis et al., 2012</xref>). Without clinical data, an epidemiologic cutoff value (ECV) could be used to discriminate WT strains from isolates with resistance mechanisms (<xref ref-type="bibr" rid="B14">Espinel-Ingroff et al., 2010</xref>). However, a susceptibility breakpoint solely based on ECV could not predict the clinical outcome. In the absence of a clinical cutoff, the Pharmacokinetic/Pharmacodynamic cutoff (CO<sub>PD</sub>) is associated with clinical efficacy, as both PK/PD data and WT distribution are included for setting CO<sub>PD</sub>.</p>
<p>The plasma concentration of the drug is responsible for pharmacological effect. Several studies have shown that the drug concentrations in the target sites were directly correlated with clinical efficacy (<xref ref-type="bibr" rid="B5">Barbour et al., 2010</xref>). In addition, bronchoaveolar lavage (BAL) has frequently been used to establish an intrapulmonary PK model, especially for macrolides (<xref ref-type="bibr" rid="B9">Conte et al., 2000b</xref>, <xref ref-type="bibr" rid="B11">2004</xref>). In the case of animals, the problem of long sampling intervals makes plasma concentrations incomparable with pulmonary epithelial lining fluid (PELF) concentrations (<xref ref-type="bibr" rid="B43">Villarino et al., 2013</xref>).</p>
<p>The purpose of this study was to establish the ECV and CO<sub>PD</sub> of tilmicosin against <italic>H. parasuis</italic>, in addition to an intrapulmonary PK model of tilmicosin in pigs.</p>
</sec>
<sec id="s1" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec><title>Organisms</title>
<p>From March to May 2014, a total of 103 <italic>H. parasuis</italic> strains were donated by State Key Laboratory of Agricultural Microbiology at Huazhong Agricultural University and National Reference Laboratory of Veterinary Drug Residues at South China Agricultural University. These strains were isolated from the lungs of swine in 10 provinces of China. All of the bacterial isolates were confirmed by polymerase chain reaction (PCR). Prior to testing, each isolate was subcultured at least twice on tryptic soy agar (TSA) containing 5% fetal calf serum (FCS) and 10 &#x03BC;g/mL nicotinamide adenine dinucleotide (NAD) to ensure viability and purity.</p>
</sec>
<sec><title>Antimicrobial Susceptibility Determination</title>
<p>Susceptibility testing was performed by the agar dilution method according to the CLSI M07-A9 standard with some modification based on the characteristics of <italic>H. parasuis</italic>. A 2 &#x03BC;L <italic>H. parasuis</italic> suspension (10<sup>8</sup> CFU/mL) was inoculated onto TSA-FCS-NAD agar plates containing twofold dilutions (0.015&#x007E;32 &#x03BC;g/mL) of tilmicosin (Dr. Ehrenstorfer Standards, Augsburg, Germany). Plates were incubated at 37&#x00B0;C in an atmosphere containing 5% CO<sub>2</sub> for 36 h. <italic>Enterococcus faecalis</italic> (ATCC 29212) was used as the quality control (QC) strain to ensure the credibility of MICs tested.</p>
</sec>
<sec><title>Definition of Wild Type Cutoff (CO<sub>WT</sub>) or Epidemiologic Cutoff (ECV)</title>
<p>A microorganism is defined as WT for a species by the absence of resistance mechanisms to target drug (<xref ref-type="bibr" rid="B40">Turnidge et al., 2006</xref>; <xref ref-type="bibr" rid="B41">Turnidge and Paterson, 2007</xref>). The ECV, or CO<sub>WT</sub> is used to separate bacterial populations on the basis of MIC distributions (<xref ref-type="bibr" rid="B41">Turnidge and Paterson, 2007</xref>; <xref ref-type="bibr" rid="B14">Espinel-Ingroff et al., 2010</xref>; <xref ref-type="bibr" rid="B6">Canton et al., 2012</xref>). Ideally, at least 95% of WT isolates should be encompassed into the ECV (<xref ref-type="bibr" rid="B37">Pfaller et al., 2009</xref>, <xref ref-type="bibr" rid="B35">2010</xref>, <xref ref-type="bibr" rid="B36">2011</xref>). The ECV was calculated following the method described by Turnidge (<xref ref-type="bibr" rid="B40">Turnidge et al., 2006</xref>). Briefly, Normality testing of the WT distribution was conducted with Sigmastat software v.3.5, non-linear regression was used to fit log<sub>2</sub>-transformed MICs with Graphpad Prism v.5.01, NORMINV and NORDIST functions were employed to set the WT distribution cutoffs.</p>
</sec>
<sec><title>Determination of Possible Resistance Mechanism</title>
<p>The molecular mechanism involved in macrolide resistance in <italic>H. parasuis</italic> is unclear, however, mutations in the 23S rRNA that is commonly associated with macrolide-resistance may occur in <italic>H. parasuis</italic>. Therefore, PCR amplification (<xref ref-type="bibr" rid="B20">Hao et al., 2013</xref>) with the primers 23S-F (5&#x2032;-ACGGTCCTAAGGTAGCGAAAT-3&#x2032;) and 23S-R (5&#x2032;-CATCAAATGTTAAAGGGTGGTA-3&#x2032;) was used to screen mutations in the 23S rRNA gene in <italic>H. parasuis.</italic></p>
</sec>
<sec><title><italic>In vitro</italic> Time Killing Test</title>
<p>According to the determined MIC of <italic>H. parasuis</italic> SH0165, agar plates were prepared with concentrations of tilmicosin (Dr. Ehrenstorfer standards, Augsburg, Germany)) ranging from 1/4 to 32 MIC. A total of 0.1 mL of inoculum was plated and bacterial counts were performed at 0, 1, 2, 4, 8, 12, and 24 h.</p>
</sec>
<sec><title>Animals</title>
<p>Fourteen 10-weeks-old healthy crossbred (Duroc &#x00D7; Large white &#x00D7; Landrace) pigs weighing 28&#x2013;33 kg were purchased from Huazhong Agricultural University pig breeding farm. Prior to experiments, pigs were raised 7 days to acclimate. Two pigs were used for establishment of high performance liquid chromatography (HPLC) method, another 12 pigs were used for pharmacokinetics (PK) study.</p>
<p>All the animal experiments were approved by the Animal Ethics Committee of Huazhong Agricultural University (hzauch 2014-003) and the Animal Care Center, Hubei Science and Technology Agency in China (SYXK 2013&#x2013;0044). All efforts were used to reduce the pain and adverse effect of the animals.</p>
</sec>
<sec><title>PK Study Design</title>
<p>The 12 pigs were randomly divided into two groups. Tilmicosin was orally administrated to six pigs in each group at a single-dose of 40 mg/kg/bw. This dose was designed based on the clinical outcome of 400 mg/kg feed (about 40 mg/kg/bw) for treatment of <italic>H. parasuis</italic> in pigs (<xref ref-type="bibr" rid="B27">MacInnes et al., 2003</xref>). In Group A, blood (2 mL) samples from animals were obtained at 0, 0.5, 0.75, 1, 2, 3, 4, 5, 6, 8, 12, 24, 36, 48, 72, and 96 h after administration. In Group B, PELF samples were collected at 0, 0.5, 2, 4, 6, 8, 12, 24, 36, 48, 72, and 96 h post-drug administration.</p>
</sec>
<sec><title>Anesthesia Scheme and Bronchoaveolar Lavage (BAL)</title>
<p>Atropine (0.05 mg/kg), ketamine (5 mg/kg), and propofol (3 mg/kg) were given intramuscularly and intravenously 30 min before drug administration.</p>
<p>Standardized BAL was performed as previously described (<xref ref-type="bibr" rid="B46">Yamazaki et al., 2003</xref>; <xref ref-type="bibr" rid="B7">Choi et al., 2012</xref>; <xref ref-type="bibr" rid="B25">Lee et al., 2015</xref>), with an electronic fiberoptic bronchoscope (Kangmei GU-180VET) inserted in the right middle lung lobe. Then, 50 mL of normal saline was instilled into the lobe, and was aspirated into a 50 mL centrifugal tube after 20 s.</p>
</sec>
<sec><title>Specimen Handling</title>
<p>Plasma was separated from blood by centrifugation at 3000 &#x00D7; <italic>g</italic> for 10 min and was kept at -70&#x00B0;C until assay. The PELF was centrifuged at 400 &#x00D7; <italic>g</italic> for 10 min and stored at -70&#x00B0;C until analysis.</p>
</sec>
<sec><title>Tilmicosin Assay Using High Performance Liquid Chromatography (HPLC)</title>
<p>Quantitation analysis of tilmicosin in PELF and plasma were conducted using HPLC. A C<sub>18</sub> reverse-phase column (250 mm &#x00D7; 4.6 mm i.d., 5 &#x03BC;m; Agilent) was used to perform HPLC at 30&#x00B0;C. The detection wavelength was 285 nm. The mobile phase consisted of 5 mM ammonium formate added with 0.1% formic acid (phase A) and acetonitrile (phase B; 73:27, v/v).</p>
<p>Plasma (0.5 mL) was extracted with dichloromethane (2.5 mL) twice. After centrifugation, supernatant was evaporated and resuspended in the mobile phase (0.5 mL). PELF (0.5 mL) was extracted with acetonitrile (2 mL), and then centrifuged, evaporated and resuspended in a same manner.</p>
<p>The limit of determination (LOD) was 0.02 &#x03BC;g/mL and the limit of quantification (LOQ) was 0.05 &#x03BC;g/mL both in plasma and PELF. Standard curves were linear from 0.05 to 10 &#x03BC;g/mL both in plasma (<italic>R</italic><sup>2</sup> = 0.9998) and PELF (<italic>R</italic><sup>2</sup> = 0.9999). The inter-day variation for determination in plasma ranged from 0.78 to 1.14% and PELF 0.14 to 0.78%, respectively. The recovery of tilmicosin in plasma ranged from 93.67 &#x00B1; 1.06% to 97.16 &#x00B1; 1.00% and in PELF from 98.49 &#x00B1; 0.77 to 99.44 &#x00B1; 014%.</p>
</sec>
<sec><title>Quantitation of PELF Volume</title>
<p>The urea dilution method was used to determine the volume of PELF as described previously (<xref ref-type="bibr" rid="B8">Conte et al., 2000a</xref>; <xref ref-type="bibr" rid="B23">Kiem and Schentag, 2007</xref>). The concentration of urea in plasma and PELF were determined by the urease-glutamate dehydrogenase enzymatic method with an automatic biochemical analyzer (SYNCHRON CX4 PRO; Beckman) at the National Reference Laboratory of Veterinary Drug Residues (Wuhan, China).</p>
</sec>
<sec><title>Pharmacokinetics Analysis</title>
<p>Statistical analysis was conducted by using WinNonlin v. 5.2.1. Plasma concentration data was analyzed with a two-compartment model and PELF non-compartment model according to the characteristics of concentration-time data.</p>
</sec>
<sec><title>Monte Carlo Simulation and CO<sub>PD</sub></title>
<p>Crystal Ball v7.2.2 was used to perform Monte Carlo simulation. The mean value and standard deviation of AUC<sub>24</sub> of PELF were embedded in the function. The distribution of pharmacokinetic parameter AUC<sub>24</sub> was assumed to be log-normal. A total of 10000 subjects were simulated.</p>
<p>The PK/PD target was evaluated (<xref ref-type="bibr" rid="B3">Andes et al., 2004</xref>). Conservative value (AUC/MIC = 30) was selected to calculate the probability of target attainment (PTA). CO<sub>PD</sub> was defined as the MIC at which the PTA was &#x2265;90%.</p>
</sec>
</sec>
<sec><title>Results</title>
<sec><title>Wild-Type (WT) MIC Distribution</title>
<p>All presumptive <italic>H. parasuis</italic> isolates were confirmed by PCR-based method. The MIC for <italic>Enterococcus faecalis</italic> (ATCC 29212) was 8 &#x03BC;g/mL, which was within the acceptable QC range according to CLSI document M31-A3.</p>
<p>The WT MIC distribution for tilmicoin against <italic>H. parasuis</italic> is shown in <bold>Figure <xref ref-type="fig" rid="F1">1</xref></bold>. The tilmicosin MIC ranged from 0.06 to 16 &#x03BC;g/mL. The distribution of each MIC (0.06, 0.125,0.25, 0.5, 1, 2, 4, 8, and 16 &#x03BC;g/mL) among tested isolates was as follows: 0.06 &#x03BC;g/mL (1.94%), 0.12 &#x03BC;g/mL (4.85%), 0.25 &#x03BC;g/mL (19.42%), 0.5 &#x03BC;g/mL (15.53%), 1 &#x03BC;g/mL (28.16%), 2 &#x03BC;g/mL (15.53%), 4 &#x03BC;g/mL (10.68%), 8 &#x03BC;g/mL (2.91%), and 16 &#x03BC;g/mL (0.97%). The MIC<sub>50</sub> and MIC<sub>90</sub> were 1 and 4 &#x03BC;g/mL, respectively.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p><bold>Primary MIC distribution of tilmicosin against 103 <italic>Haemophilus parasuis</italic> isolates</bold>.</p></caption>
<graphic xlink:href="fmicb-07-00385-g001.tif"/>
</fig>
</sec>
<sec><title>The Epidemiologic Cutoff Value (ECV)</title>
<p>Despite a lower prevalence at the MIC of 0.5 &#x03BC;g/mL, cumulative counts of MIC data were found to match a good-shape normal distribution by use of normality test (<italic>P</italic> = 0.200) as shown in <bold>Figure <xref ref-type="fig" rid="F2">2</xref></bold>. The optimum MIC range (0.015&#x2013;16 &#x03BC;g/mL) was obtained using non-linear regression (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>). In addition, this range was further corrected to 0.06&#x2013;16 &#x03BC;g/mL by employing the NORMINV function. The probabilites of an isolate MIC value higher than the high cutoff (0.18%) and lower than the low cutoff (0.07%) were estimated using NORMDIST function. As the result, the ECV was defined as 16 &#x03BC;g/mL, which encompassed 100% of the WT isolates (<bold>Table <xref ref-type="table" rid="T1">1</xref></bold>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p><bold>Cumulative MIC distribution of tilmicosin against <italic>H. parasuis</italic> after non-linear regression</bold>.</p></caption>
<graphic xlink:href="fmicb-07-00385-g002.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Optimum non-linear least squares regression fitting of pooled MICs (&#x03BC;g/mL) for tilmicosin and <italic>Haemophilus parasuis.</italic></p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Subset fitted</th>
<th valign="top" align="center" colspan="6">Number of isolates<hr/></th>
<th valign="top" align="center" colspan="4">Mean MIC (log<sub>2</sub>)<hr/></th>
<th valign="top" align="center" colspan="4">Standard deviation (log<sub>2</sub>)<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="left">True</th>
<th valign="top" align="left">Est.</th>
<th valign="top" align="left">Diff.</th>
<th valign="top" align="left">ASE</th>
<th valign="top" align="left">Est./ASE</th>
<th valign="top" align="left">95% CI<sup>b</sup></th>
<th valign="top" align="left">Est.</th>
<th valign="top" align="left">ASE</th>
<th valign="top" align="left">Est./ASE</th>
<th valign="top" align="left">95% CI<sup>a</sup></th>
<th valign="top" align="left">Est.</th>
<th valign="top" align="left">ASE</th>
<th valign="top" align="left">Est./ASE</th>
<th valign="top" align="left">95% CI<sup>b</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x2266;1</td>
<td valign="top" align="left">72</td>
<td valign="top" align="left">120</td>
<td valign="top" align="left">48</td>
<td valign="top" align="left">59.930</td>
<td valign="top" align="left">2.0</td>
<td valign="top" align="left">-138, 378</td>
<td valign="top" align="left">-0.443</td>
<td valign="top" align="left">1.182</td>
<td valign="top" align="left">-0.3</td>
<td valign="top" align="left">-5.530, 4.645</td>
<td valign="top" align="left">1.802</td>
<td valign="top" align="left">0.630</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">-0.910, 4.514</td>
</tr>
<tr>
<td valign="top" align="left">&#x2266;2</td>
<td valign="top" align="left">88</td>
<td valign="top" align="left">102</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">10.180</td>
<td valign="top" align="left">10.0</td>
<td valign="top" align="left">69, 134</td>
<td valign="top" align="left">-0.810</td>
<td valign="top" align="left">0.268</td>
<td valign="top" align="left">-3.0</td>
<td valign="top" align="left">-1.661, 0.042</td>
<td valign="top" align="left">1.615</td>
<td valign="top" align="left">0.236</td>
<td valign="top" align="left">6.8</td>
<td valign="top" align="left">0.864, 2.366</td>
</tr>
<tr>
<td valign="top" align="left">&#x2266;4</td>
<td valign="top" align="left">99</td>
<td valign="top" align="left">103</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.352</td>
<td valign="top" align="left">23.7</td>
<td valign="top" align="left">91, 116</td>
<td valign="top" align="left">-0.765</td>
<td valign="top" align="left">0.134</td>
<td valign="top" align="left">-5.7</td>
<td valign="top" align="left">-1.136,-0.393</td>
<td valign="top" align="left">1.648</td>
<td valign="top" align="left">0.147</td>
<td valign="top" align="left">11.2</td>
<td valign="top" align="left">1.239, 2.057</td>
</tr>
<tr>
<td valign="top" align="left">&#x2266;8</td>
<td valign="top" align="left">102</td>
<td valign="top" align="left">103</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">2.334</td>
<td valign="top" align="left">44.1</td>
<td valign="top" align="left">92, 109</td>
<td valign="top" align="left">-0.773</td>
<td valign="top" align="left">0.086</td>
<td valign="top" align="left">-9.0</td>
<td valign="top" align="left">-0.995,-0.551</td>
<td valign="top" align="left">1.640</td>
<td valign="top" align="left">0.107</td>
<td valign="top" align="left">15.3</td>
<td valign="top" align="left">1.364, 1.916</td>
</tr>
<tr>
<td valign="top" align="left">&#x2266;16<sup>b</sup></td>
<td valign="top" align="left">103</td>
<td valign="top" align="left">103</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1.565</td>
<td valign="top" align="left">65.8</td>
<td valign="top" align="left">99, 107</td>
<td valign="top" align="left">-0.774</td>
<td valign="top" align="left">0.068</td>
<td valign="top" align="left">-11.4</td>
<td valign="top" align="left">-0.940,-0.608</td>
<td valign="top" align="left">1.639</td>
<td valign="top" align="left">0.088</td>
<td valign="top" align="left">18.6</td>
<td valign="top" align="left">1.423, 1.855</td></tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>Est., non-linear regression estimate of value; Diff., estimate of N minus true N; ASE, asymptotic standard error; Est./ASE, estimate divided by asymptotic standard error. <sup>a</sup>95% CI of estimate of value. <sup>b</sup>This subset gave the smallest difference between the estimate and true number of isolates in the subset.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>After PCR amplification and DNA sequencing, no 23S rRNA gene mutations associated with macrolide resistance were found among all of the tested <italic>H. parasuis</italic> isolates. Therefore, all isolates were assumed to be WT strains.</p>
</sec>
<sec><title><italic>In vitro</italic> Time Kill Curve</title>
<p>As displayed in <bold>Figure <xref ref-type="fig" rid="F3">3</xref></bold>, the lower concentrations (&#x2264;MIC) of tilmicosin exhibited similar antimicrobial activity to <italic>H. parasuis</italic>. However, when tilmicosin concentrations were higher than MIC, the bacteriostatic efficiency gradually strengthened due to increased drug concentration. Therefore, the <italic>in vitro</italic> time kill curve showed that activity of tilmicosin against <italic>H. parasuis</italic> was concentration-dependent.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><bold>The in <italic>vitro</italic> time killing curve of tilmicosin against <italic>H. parasuis</italic></bold>. Fixed concentration (10<sup>6</sup>CFU/mL) of <italic>H. parasuis</italic> was incubated with different concentration of tilmicosin (1/4 MIC, &#x00BD; MIC, &#x2026;&#x2026;, 32 MIC). The X-axis was the different time point and the Y-axis was log<sub>10</sub> transformed number of <italic>H. parasuis</italic>.</p></caption>
<graphic xlink:href="fmicb-07-00385-g003.tif"/>
</fig>
</sec>
<sec><title>Pharmacokinetic Characteristics of Tilmicosin in Plasma</title>
<p>No serious adverse influences were observed after oral administration of tilmicosin. The concentration of tilmicosin in plasma was reduced below the LOQ after 72 h. A two-compartment model was used for model fitting from 0 to 72 h. The concentration and time profiles are illustrated in <bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>. Pharmacokinetic parameters of tilmicosin in plasma were calculated by model analysis conducted by WinNonlin v. 5.2.1. As shown in <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>, the time to reach to maximum concentration (Tmax), the peak drug concentration (<italic>C</italic>max), and the area under the curve at 24 h (AUC<sub>24</sub>) were 3.52 &#x00B1; 0.34 h, 1.57 &#x00B1; 0.46 &#x03BC;g/mL, and 20.13 &#x00B1; 5.26 &#x03BC;g. h/mL, respectively. The mean residence time (MRT) was 16.45 &#x00B1; 1.67 h. The intercept for the distribution phase (A) and for the elimination phase (B) were 2.67 &#x00B1; 0.99 &#x03BC;g/mL and 0.09 &#x00B1; 0.01 &#x03BC;g/mL. The distribution rate constant (&#x03B1;) and elimination rate constant (&#x03B2;) were 0.11 &#x00B1; 0.01 L/h and 0.002 &#x00B1; 0.001 L/h.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p><bold>Concentration-time curve of tilmicosin in plasma and in epithelial lining fluid (ELF) after oral administration at a single dose of 40 mg/kg to pigs (<italic>n</italic> = 6).</bold> The concentration of tilmicosin in plasma was determined at 0, 0.5, 0.75, 1, 2, 3, 4, 5, 6, 8, 12, 24, 36, 48, 72, and 96 h after drug administration. The concentration of tilmicosin in ELF was detected at 0, 0.5, 2, 4, 6, 8, 12, 24, 36, 48, 72, and 96 h post-drug administration.</p></caption>
<graphic xlink:href="fmicb-07-00385-g004.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Pharmacokinetic parameters in plasma and ELF after oral administration of tilmicosin at a single dose of 40 mg/kg.bw.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Parameters</th>
<th valign="top" align="center" colspan="2">Mean &#x00B1; SD values<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="left">Plasma</th>
<th valign="top" align="left">ELF</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AUC<sub>24</sub> (&#x03BC;g.h/mL)</td>
<td valign="top" align="left">20.13 &#x00B1; 5.26</td>
<td valign="top" align="left">74.41 &#x00B1; 17.98</td>
</tr>
<tr>
<td valign="top" align="left">T<sub>max</sub> (h)</td>
<td valign="top" align="left">3.52 &#x00B1; 0.34</td>
<td valign="top" align="left">40.80 &#x00B1; 6.57</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max</sub> (&#x03BC;g/mL)</td>
<td valign="top" align="left">1.57 &#x00B1; 0.46</td>
<td valign="top" align="left">5.36 &#x00B1; 0.74</td>
</tr>
<tr>
<td valign="top" align="left">A (&#x03BC;g/mL)</td>
<td valign="top" align="left">2.67 &#x00B1; 0.99</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">B (&#x03BC;g/mL)</td>
<td valign="top" align="left">0.09 &#x00B1; 0.01</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">&#x03B1; (L/h)</td>
<td valign="top" align="left">0.11 &#x00B1; 0.01</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2; (L/h)</td>
<td valign="top" align="left">0.002 &#x00B1; 0.001</td>
<td valign="top" align="left"></td>
</tr>
<tr>
<td valign="top" align="left">MRT (h)</td>
<td valign="top" align="left">16.45 &#x00B1; 1.67</td>
<td valign="top" align="left">37.64 &#x00B1; 1.86</td></tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>AUC<sub><italic>24</italic></sub> was area under the curve from 0 to 24 h; T<sub><italic>max</italic></sub> was time to peak concentration. C<sub><italic>max</italic></sub> was peak concentration; A was intercept for the distribution phase; B was intercept for the elimination phase; &#x03B1; was distribution rate constant. &#x03B2; was elimination rate constant; MRT was mean residence time.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Pharmacokinetic Characteristics of Tilmicosin in PELF</title>
<p>After drug administration, the tilmicosin concentration in PELF reached to a higher level at 3 h and kept at that level until 96 h. A non-compartment model was selected to analyze the drug concentration and time characteristics for PELF samples. The pharmacokinetic parameters for PELF samples are summarized in <bold>Table <xref ref-type="table" rid="T2">2</xref></bold>. The values (mean &#x00B1; SD) of T<sub>max</sub>, C<sub>max</sub>, AUC<sub>24</sub>, and MRT were 40.80 &#x00B1; 6.57 h, 5.36 &#x00B1; 0.74 &#x03BC;g/Ml, 74.41 &#x00B1; 17.98 &#x03BC;g.h/mL, and 37.64 &#x00B1; 1.86 h, respectively.</p>
</sec>
<sec><title>Comparison of Pharmacokinetics in Plasma and PELF</title>
<p>The concentration-time curves both in plasma and in PELF after oral administration of tilmicosin at a single dose of 40 mg/kg/bw are shown in <bold>Figure <xref ref-type="fig" rid="F4">4</xref></bold>. The drug concentration in plasma and in PELF was lower than 2 &#x03BC;g/mL during 0&#x007E;4 h. The concentration of tilmicosin in plasma rapidly decreased from 1.36 &#x03BC;g/mL at 6 h to 0.11 &#x03BC;g/mL at 72 h. In contrast, the drug concentration in PELF remained more stable, as values were higher than 4 &#x03BC;g/mL from 6 to 48 h and then showed a rapid decrease from 4.72 &#x03BC;g/mL at 48 h to 0.68 &#x03BC;g/mL at 96 h. Significant differences were observed between drug concentrations in plasma and in PELF. It was noteworthy that the drug concentration in PELF at 48 h reached 4.72 &#x00B1; 0.44 &#x03BC;g/mL, which was more than 40 times of that (0.11 &#x00B1; 0.03 &#x03BC;g/mL) detected in plasma. Both the values for C<sub>max</sub> and AUC<sub>24</sub> in PELF were obviously higher than those in plasma (<bold>Table <xref ref-type="table" rid="T2">2</xref></bold>).</p>
</sec>
<sec><title>Monte Carlo Simulation and CO<sub>PD</sub></title>
<p>As presented in <bold>Table <xref ref-type="table" rid="T3">3</xref></bold>, 10,000 subjects were modeled by employing Monte Carlo simulation. The PTA under different WT MICs was calculated. The PTA achieved to 100% when MIC value of 1 &#x03BC;g/mL was employed. However, the PTA was merely 76% (far below 90%) under the MIC value of 2 &#x03BC;g/mL. Consequently, the CO<sub>PD</sub> was defined as 1 &#x03BC;g/mL.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>The AUC/MIC value calculated by Monte Carlo simulation and the accumulated probability of target attainment (PTA) of the target AUC/MIC (&#x2265;30) at specific MIC breakpoints.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">AUC<sub>24</sub> (&#x03BC;g.h/mL)</th>
<th valign="top" align="center" colspan="5">MIC (&#x03BC;g/mL)<hr/></th>
</tr>
<tr>
<td valign="top" align="left"></td>
<th valign="top" align="left">0.5</th>
<th valign="top" align="left">1</th>
<th valign="top" align="left">2</th>
<th valign="top" align="left">4</th>
<th valign="top" align="left">8</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">47</td>
<td valign="top" align="left">94</td>
<td valign="top" align="left">47</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">6</td>
</tr>
<tr>
<td valign="top" align="left">94</td>
<td valign="top" align="left">188</td>
<td valign="top" align="left">94</td>
<td valign="top" align="left">47</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">12</td></tr>
<tr>
<td valign="top" align="left">69</td>
<td valign="top" align="left">138</td>
<td valign="top" align="left">69</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">9</td>
</tr>
<tr>
<td valign="top" align="left">76</td>
<td valign="top" align="left">152</td>
<td valign="top" align="left">76</td>
<td valign="top" align="left">38</td>
<td valign="top" align="left">19</td>
<td valign="top" align="left">10</td></tr>
<tr>
<td valign="top" align="left">63</td>
<td valign="top" align="left">126</td>
<td valign="top" align="left">63</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">8</td>
</tr>
<tr>
<td valign="top" align="left">87</td>
<td valign="top" align="left">174</td>
<td valign="top" align="left">87</td>
<td valign="top" align="left">44</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">11</td></tr>
<tr>
<td valign="top" align="left">&#x2026;</td>
<td valign="top" align="left">&#x2026;</td>
<td valign="top" align="left">&#x2026;</td>
<td valign="top" align="left">&#x2026;</td>
<td valign="top" align="left">&#x2026;</td>
<td valign="top" align="left">&#x2026;</td>
</tr>
<tr>
<td valign="top" align="left">PTA (%)</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">76</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0</td></tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec><title>Discussion</title>
<p>Temporal and geographic differences could be frequently found on the prevalence of resistance. For instance, <italic>H. parasuis</italic> isolates from Denmark exhibited higher MIC<sub>90</sub> to tilmicosin than those isolated from Czech Republic (8 &#x03BC;g/mL vs. 2 &#x03BC;g/mL; <xref ref-type="bibr" rid="B1">Aarestrup et al., 2004</xref>; <xref ref-type="bibr" rid="B33">Nedbalcov&#x00E1; and Ku&#x010D;erov&#x00E1;, 2013</xref>). In our study, 103 <italic>H. parasuis</italic> isolates were collected in 2014 and antimicrobial susceptibility tests were performed using the agar dilution method according to CLSI documents. The MIC<sub>90</sub> (4 &#x03BC;g/mL) of the 103 <italic>H. parasuis</italic> isolates was higher than that (2 &#x03BC;g/mL) of strains isolated by <xref ref-type="bibr" rid="B48">Zhou et al. (2010)</xref>.</p>
<p>Wild type isolates do not harbor any acquired mutational resistance mechanisms. Hence, resistance markers specific for a microorganism-drug combination should be determined (<xref ref-type="bibr" rid="B28">Meletiadis et al., 2012</xref>). However, no mutations associated with tilmicosin resistance have been confirmed in <italic>H. parasuis</italic> isolates so far. The mutations associated with macrolide resistance in the target gene of 23S rRNA did not occur in our <italic>H. parasuis</italic> isolates. Conservatively, all <italic>H. parasuis</italic> isolates used in this study could be considered WT strains.</p>
<p>The bactericidal characteristic of an antibiotic is closely dependent on the organism-drug combination. The same drug is likely to show distinct bactericidal features to different bacterial strains. Most macrolide drugs exhibited time-dependent antibacterial activity and two parameters (T > MIC and AUC/MIC) were generally used for PK/PD modeling (<xref ref-type="bibr" rid="B34">Owens and Ambrose, 2007</xref>). However, the effect of tilmicosin against <italic>H. parasuis</italic> was concentration-dependent, according to the result of the <italic>in vitro</italic> time kill test.</p>
<p>In previous reports, the drug concentrations at the infection site were highly correlated to that in blood (<xref ref-type="bibr" rid="B12">Craig, 1998</xref>). However, as macrolide drugs may accumulate in respiratory organs, the concentrations of macrolides at the infection site were undoubtedly better to predict the clinical outcome. Although several intrapulmonary pharmacokinetic studies have been conducted using BAL in humans (<xref ref-type="bibr" rid="B8">Conte et al., 2000a</xref>,<xref ref-type="bibr" rid="B9">b</xref>, <xref ref-type="bibr" rid="B10">2005</xref>; <xref ref-type="bibr" rid="B21">Heng et al., 2013</xref>), the BAL technique was still only limitedly applied to establish intrapulmonary pharmacokinetic models among mammal animals (<xref ref-type="bibr" rid="B45">Womble et al., 2007</xref>; <xref ref-type="bibr" rid="B43">Villarino et al., 2013</xref>). Those intrapulmonary pharmacokinetics experiments using BAL technique were normally designed for long term studies with long sampling intervals. In our study, the PK data of tilmicosin in PELF in pigs were obtained for the first time by use of the BAL technique and intrapulmonary model on the basis of our modified anesthesia method.</p>
<p>Although, the preparation methods for extraction of tilmicosin from plasma were available in previous studies, the extraction procedures were complex (<xref ref-type="bibr" rid="B29">Modric et al., 1998</xref>; <xref ref-type="bibr" rid="B39">Stobba-Wiley et al., 2000</xref>). To simplify the extraction procedure, we tested diverse chemical materials (acetonitrile, methyl alcohol, dichloromethane and trichloromethane) and found that dichloromethane was the optimum reagent for tilmicosin extraction. Selection of the mobile phase was important for HPLC methods. Complex chemical compositions had been required for use in the mobile phase of HPLC for detecting tilmicosin in previous studies (<xref ref-type="bibr" rid="B38">Shen et al., 2005</xref>; <xref ref-type="bibr" rid="B2">Abu-Basha et al., 2007</xref>; <xref ref-type="bibr" rid="B22">Herrera et al., 2007</xref>). To improve the efficiency of the HPLC method, we tried different mobile phases and found that a mobile phase with simple composition (5 mM ammonium formate: acetonitrile, 73:27, v/v) could satisfy requirements for HPLC analysis of tilmicosin in plasma and in PELF.</p>
<p>Drug concentrations in PELF have been positively related to antibiotic activity for treatment of intrapulmonary infections (<xref ref-type="bibr" rid="B23">Kiem and Schentag, 2007</xref>). Previous study found that alveolar macrophages with high concentrations of macrolide drugs could migrate into the alveolar space when organisms or dust intrude (<xref ref-type="bibr" rid="B18">Gladue et al., 1989</xref>). This is why we chose to establish our intrapulmonary model in healthy subjects rather than diseased animals, as the latter may influence the stability of the model. Additionally, drug concentrations in PELF in healthy animals should have more clinical relevance compared to that taken from blood in diseased animals.</p>
<p>Pharmacokinetics of tilmicosin in the plasma of cattle, sheep, swine and chicken have been previously described (<xref ref-type="bibr" rid="B29">Modric et al., 1998</xref>; <xref ref-type="bibr" rid="B38">Shen et al., 2005</xref>; <xref ref-type="bibr" rid="B2">Abu-Basha et al., 2007</xref>). The intrapulmonary pharmacokinetics of tilmicosin in swine was reported in the present study for the first time. The plasma pharmacokinetic data in this study was similar to what was reported by <xref ref-type="bibr" rid="B38">Shen et al. (2005)</xref>. Interestingly, the concentration in PELF reached the peak value at 48 h, which was significantly later than what was detected in plasma. This may because macrolide drugs can accumulate and persist in respiratory tissues for extended periods (<xref ref-type="bibr" rid="B44">Villarino and Martin-Jimenez, 2013</xref>).</p>
<p>The CO<sub>PD</sub> (1 &#x03BC;g/mL) was lower than the ECV (16 &#x03BC;g/mL) established in this study. The reasons may be: (1) the ECV was overestimated because of existing, but currently unknown, resistance mechanisms; or (2) the sample size in this study was not enough to ensure definite results. Compared to the breakpoint of tilmicosin against <italic>A. pleuropneumoniae</italic> and <italic>P. multocida</italic> (16 &#x03BC;g/mL), the ECV for <italic>H. parasuis</italic> seemed reasonable to be used as the final breakpoint of tilmicosin against <italic>H. parasuis</italic> in pigs.</p>
</sec>
<sec><title>Author Contributions</title>
<p>Experiment designation: PZ, HH; Experiment carry out: PZ, JL, IA, DC, YT, ZL; Manuscript writing: PZ, HH, GC, LH, YW, MD; Manuscript review and modification: HH, ZY.</p>
</sec>
<sec><title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by grants from the National Basic Research Program of China (2013CB127200), Fundamental Research Funds for the Central Universities (2662015PY035) and by the morning program of Wuhan in China (2015070404010191). National Natural Science Foundation of China (31101856), National Key Technology R&#x0026;D Program (2012BAK01B00). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p></fn></fn-group>
<ack>
<p>We appreciated Katherine Mcelhanywilliams from USA FDA national center of toxicological research for her help on the manuscript modification. We thank Yahong Liu from South China Agricultural University and Xuwang Cai and Long Guo from State Key Laboratory of Agricultural Microbiology in Huazhong Agricultural University for freely providing <italic>H. parasuis</italic> isolates. We also thank Xiaoli Liu for supplying the anesthetic. Thanks also to Xianqiang Li, Feng Mao, Yan Zhao, Xiuhua Kuang, and Linquan Yang for their assistance in the experiments.</p>
</ack>
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