<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2021.734122</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Mechanistic Modeling of Maternal Lymphoid and Fetal Plasma Antiretroviral Exposure During the Third Trimester</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Shenkoya</surname> <given-names>Babajide</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1393359/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Atoyebi</surname> <given-names>Shakir</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1429941/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Eniayewu</surname> <given-names>Ibrahim</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1397162/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Akinloye</surname> <given-names>Abdulafeez</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1248736/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Olagunju</surname> <given-names>Adeniyi</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="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1290426/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pharmaceutical Chemistry, Obafemi Awolowo University</institution>, <addr-line>Ile-Ife</addr-line>, <country>Nigeria</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pharmaceutical and Medicinal Chemistry, University of Ilorin</institution>, <addr-line>Ilorin</addr-line>, <country>Nigeria</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Andr&#x000E9; Dallmann, Bayer, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Karthik Lingineni, Novartis, United States; Stein Schalkwijk, GlaxoSmithKline, United Kingdom</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Adeniyi Olagunju <email>olagunju&#x00040;liverpool.ac.uk</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Obstetric and Pediatric Pharmacology, a section of the journal Frontiers in Pediatrics</p></fn></author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>09</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>734122</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>06</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>08</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Shenkoya, Atoyebi, Eniayewu, Akinloye and Olagunju.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Shenkoya, Atoyebi, Eniayewu, Akinloye and Olagunju</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p>Pregnancy-induced changes in plasma pharmacokinetics of many antiretrovirals (ARV) are well-established. Current knowledge about the extent of ARV exposure in lymphoid tissues of pregnant women and within the fetal compartment is limited due to their inaccessibility. Subtherapeutic ARV concentrations in HIV reservoirs like lymphoid tissues during pregnancy may constitute a barrier to adequate virological suppression and increase the risk of mother-to-child transmission (MTCT). The present study describes the pharmacokinetics of three ARVs (efavirenz, dolutegravir, and rilpivirine) in lymphoid tissues and fetal plasma during pregnancy using materno-fetal physiologically-based pharmacokinetic models (m-f-PBPK). Lymphatic and fetal compartments were integrated into our previously validated adult PBPK model. Physiological and drug disposition processes were described using ordinary differential equations. For each drug, virtual pregnant women (<italic>n</italic> &#x0003D; 50 per simulation) received the standard dose during the third trimester. Essential pharmacokinetic parameters, including Cmax, Cmin, and AUC (0&#x02013;24), were computed from the concentration-time data at steady state for lymph and fetal plasma. Models were qualified by comparison of predictions with published clinical data, the acceptance threshold being an absolute average fold-error (AAFE) within 2.0. AAFE for all model predictions was within 1.08&#x02013;1.99 for all three drugs. Maternal lymph concentration 24 h after dose exceeded the reported minimum effective concentration (MEC) for efavirenz (11,514 vs. 800 ng/ml) and rilpivirine (118.8 vs. 50 ng/ml), but was substantially lower for dolutegravir (16.96 vs. 300 ng/ml). In addition, predicted maternal lymph-to-plasma AUC ratios vary considerably (6.431&#x02014;efavirenz, 0.016&#x02014;dolutegravir, 1.717&#x02014;rilpivirine). Furthermore, fetal plasma-to-maternal plasma AUC ratios were 0.59 for efavirenz, 0.78 for dolutegravir, and 0.57 for rilpivirine. Compared with rilpivirine (0 h), longer dose forgiveness was observed for dolutegravir in fetal plasma (42 h), and for efavirenz in maternal lymph (12 h). The predicted low lymphoid tissue penetration of dolutegravir appears to be significantly offset by its extended dose forgiveness and adequate fetal compartment exposure. Hence, it is unlikely to be a predictor of maternal virological failure or MTCT risks. Predictions from our m-f-PBPK models align with recommendations of no dose adjustment despite moderate changes in exposure during pregnancy for these drugs. This is an important new application of PBPK modeling to evaluate the adequacy of drug exposure in otherwise inaccessible compartments.</p>
</abstract>
<kwd-group>
<kwd>pregnancy</kwd>
<kwd>antiretroviral</kwd>
<kwd>lymph</kwd>
<kwd>pharmacokinetics</kwd>
<kwd>PBPK</kwd>
<kwd>fetus</kwd>
<kwd>adherence</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="3"/>
<ref-count count="72"/>
<page-count count="11"/>
<word-count count="7499"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Pregnancy-induced physiological changes reduce plasma concentrations of antiretrovirals (ARV), especially in the third trimester (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B4">4</xref>). Mother-to-child transmission (MTCT) of HIV is reduced significantly at the standard dose of current ARVs in use (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>&#x02013;<xref ref-type="bibr" rid="B7">7</xref>). Cases of perinatal transmission, although not common, and vaginal shedding of HIV RNA among pregnant women with undetectable or low plasma HIV RNA suggest that declining MTCT may not be attributed to low plasma HIV RNA viral load alone (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>The use of ARVs suppresses plasma HIV RNA levels below the limit of detection (<xref ref-type="bibr" rid="B11">11</xref>). However, rapid viral rebound in non-adhering patients suggests that replication-competent viruses persist in HIV reservoirs during treatment (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Suboptimal adherence may therefore cause a viral rebound in pregnant women, which can increase the risk of mother-to-child transmission (MTCT) (<xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>). The lymphoid tissues constitute the largest HIV reservoir sites because they are the primary sites for viral replication, and therefore contain a high proportion of viral genetic components and free virions (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Furthermore, persistent isolates of HIV particles in lymph nodes of patients on active ART also suggest that the virus may be capable of evading lethal ARV concentrations in maternal plasma. This has constituted a major barrier in HIV eradication (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>). Penetration of ARVs into the lymphatic tissues is crucial for prevention of viral replication, rebound, drug resistance and MTCT (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>Quantification of drug distribution into the lymphatic system of living persons has not been studied due to the challenges with sample collection. Macaque mass spectrometry imaging, human lymph node mononuclear cells, and human primary lymphoid endothelial cells are methods that have been reported so far in the literature for drug quantification in lymphoid tissues (<xref ref-type="bibr" rid="B24">24</xref>&#x02013;<xref ref-type="bibr" rid="B26">26</xref>). Ethical considerations around sample collection and safety concerns limit fetal pharmacokinetics studies before delivery (<xref ref-type="bibr" rid="B27">27</xref>). These gaps may be filled through physiologically-based pharmacokinetic (PBPK) modeling and simulation.</p>
<p>Materno-fetal PBPK (m-f-PBPK) modeling strategy has advanced from simple models to using highly representative models that include gestational-age dependent changes in maternal and fetal anatomy and physiology (<xref ref-type="bibr" rid="B27">27</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). M-f-PBPK models have been used to reliably estimate fetal concentrations of emtricitabine, tenofovir, nevirapine, darunavir, efavirenz, and thalidomide (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). These predictions sometimes rely on a number of assumptions based on data derived from <italic>in vitro</italic> or animal models in the absence of relevant clinical pregnancy data. However, a robust mechanistic workflow on PBPK models starting from simple non-pregnant models validated with available clinical data to more complex materno-fetal models, often builds confidence in the data output from such models. Applications of such models to HIV tissue reservoirs could support the development of molecules with optimal characteristics for enhanced distribution in HIV eradication studies. There is currently no published description of ARV distribution into lymphoid tissues during pregnancy.</p>
<p>In the current work, we describe the extension of our previous m-f PBPK model (<xref ref-type="bibr" rid="B28">28</xref>) to describe the penetration of efavirenz, dolutegravir and rilpivirine into the lymph and fetal plasma during pregnancy.</p></sec>
<sec id="s2">
<title>Method</title>
<sec>
<title>Model Structure and Parameterisation</title>
<p>The present model is an extension of a previously described materno-fetal PBPK model composed of integrated whole-body maternal model and multi-compartmental fetal model (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 1</xref>) (<xref ref-type="bibr" rid="B28">28</xref>). The model was implemented in Simbiology&#x000AE; (v. 9.5, MATLAB&#x000AE; 2018b, Mathworks Inc., Natick, Massachusetts, USA) and extended to include the lymphatic circulation (<xref ref-type="fig" rid="F1">Figure 1</xref>). Organ weights in the maternal model were predicted anthropometrically using the population physiology model described by Bosgra et al. (<xref ref-type="bibr" rid="B31">31</xref>). The compartments represented in the fetal model included the placenta, the amniotic fluid, fetal kidney, fetal liver, and fetal brain. Other organs were lumped together and represented by a single compartment as previously described (<xref ref-type="bibr" rid="B32">32</xref>). The structure of the fetal circulatory system was based on a published description (<xref ref-type="bibr" rid="B33">33</xref>) and organ blood flows were modeled using equations described by Zhang et al. (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>PBPK Model development workflow adopted.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-09-734122-g0001.tif"/>
</fig>
<p>Efavirenz, dolutegravir, and rilpivirine were selected for this study because they are approved for use in pregnancy and there is sufficient clinical data available on the pharmacokinetics of these drugs in pregnancy. Values of parameters representing the physicochemical properties of the study drugs (efavirenz, dolutegravir, and rilpivirine) such as octanol-water partition coefficient, acid dissociation constant and blood-to-plasma ratio, as well as their intrinsic hepatic clearances were obtained from literature (<xref ref-type="table" rid="T1">Table 1</xref>). Maternal and fetal anatomical and physiological adaptations to pregnancy were accounted for by the use of gestational-age dependent parameters where relevant (<xref ref-type="bibr" rid="B41">41</xref>). In some cases where necessary parameter values were not reported, published graph-plots of changes in the parameters: the placental thickness (<xref ref-type="bibr" rid="B18">18</xref>), rates of blood flow through the foramen ovale and ductus arteriosus (<xref ref-type="bibr" rid="B42">42</xref>), over the course of pregnancy were digitized (Plotdigitizer&#x000AE; version 2.6.6, Free Software Foundation, Boston, MA, USA). The data points obtained were used to generate equations of best-fit which were subsequently inputted into the model as previously described (<xref ref-type="bibr" rid="B28">28</xref>). Sensitivity analyses was conducted to observe the extent in which uncertainty in placental diffusion constant propagated into the fetal plasma predictions in the model (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Drug-specific parameters for efavirenz, dolutegravir, and rilpivirine used in building the lymph-PBPK model.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Parameters</bold></th>
<th valign="top" align="left"><bold>Description</bold></th>
<th valign="top" align="center"><bold>Efavirenz (<xref ref-type="bibr" rid="B34">34</xref>)</bold></th>
<th valign="top" align="center"><bold>Dolutegravir (<xref ref-type="bibr" rid="B34">34</xref>)</bold></th>
<th valign="top" align="center"><bold>Rilpivirine (<xref ref-type="bibr" rid="B34">34</xref>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MW (g)</td>
<td valign="top" align="left">Molecular weight</td>
<td valign="top" align="center">316</td>
<td valign="top" align="center">419</td>
<td valign="top" align="center">366</td>
</tr>
<tr>
<td valign="top" align="left">Log P<sub>ow</sub></td>
<td valign="top" align="left">Octanol-water partition coefficient</td>
<td valign="top" align="center">4.60</td>
<td valign="top" align="center">2.20</td>
<td valign="top" align="center">4.32</td>
</tr>
<tr>
<td valign="top" align="left">pKa</td>
<td valign="top" align="left">Dissociation constant</td>
<td valign="top" align="center">10.2</td>
<td valign="top" align="center">8.3</td>
<td valign="top" align="center">3.26</td>
</tr>
<tr>
<td valign="top" align="left">R</td>
<td valign="top" align="left">Blood-to-Plasma ratio</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">PSA (&#x000C5;<sup>2</sup>)</td>
<td valign="top" align="left">Polar Surface Area</td>
<td valign="top" align="center">38.33</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">HBD</td>
<td valign="top" align="left">Hydrogen Bond Donor</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">f<sub>u</sub></td>
<td valign="top" align="left">Fraction unbound</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">V<sub>d</sub> (L/kg)</td>
<td valign="top" align="left">Volume of distribution</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">P<sub>eff</sub> (10<sup>&#x02212;6</sup> cm/s)</td>
<td valign="top" align="left">Effective permeability (Caco-2)</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">12.0</td>
</tr>
<tr>
<td valign="top" align="left">ClintCYP2A6 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">CYP2A6 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">ClintCYP2B6 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">CYP2B6 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">ClintCYP1A2 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">CYP1A2 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">0.07</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">ClintCYP3A4 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">CYP3A4 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">2.04</td>
</tr>
<tr>
<td valign="top" align="left">ClintCYP3A5 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">CYP3A5 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">ClintUGT1A1 (&#x003BC;L/min/pmol)</td>
<td valign="top" align="left">UGT1A1 Intrinsic Hepatic clearance</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">d</td>
<td valign="top" align="left">Particle size (Mean &#x000B1; SD)</td>
<td valign="top" align="center">2.35 &#x000B1; 0.48 &#x003BC;m (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">5.7 &#x003BC;m (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">200 nm (<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Plasma MEC (&#x003BC;g/mL)</td>
<td valign="top" align="left">Minimum Effective Concentration</td>
<td valign="top" align="center">8E-1 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">3.0E-1 (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">5.0E-2 (<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>In-vitro</italic> adjusted PBIC (&#x003BC;g/mL)</td>
<td valign="top" align="left">Protein Binding Inhibitory Concentration</td>
<td valign="top" align="center">1.26E-1</td>
<td valign="top" align="center">6.40E-2</td>
<td valign="top" align="center">2.03E-2</td>
</tr>
<tr>
<td valign="top" align="left">Water Solubility (mg/mL)</td>
<td valign="top" align="left">Water solubility at 25&#x000B0;C</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="center">0.094</td>
</tr>
</tbody>
</table>
</table-wrap></sec>
<sec>
<title>Modeling the Lymphatic Circulation</title>
<p>The lymph node draining each organ was collected into a central lymph node compartment. The lymph returns back to the venous circulation at 1.7% rate of cardiac output to maintain body fluid balance (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B43">43</xref>). The lymph flow and volume of extracellular water for each organ represented in the model is presented in <xref ref-type="table" rid="T2">Table 2</xref> (<xref ref-type="bibr" rid="B44">44</xref>). Small drug molecules disintegrating from formulation matrix were assumed to be equilibrated between plasma and interstitial fluid (<xref ref-type="bibr" rid="B45">45</xref>). The model assumed transfer of drug from interstitial fluid into the lymphatic circulation by diffusion due to low transporter expression in the lymph nodes (<xref ref-type="bibr" rid="B16">16</xref>). The diffusion process was described by adapting Fick&#x00027;s diffusion equation (<xref ref-type="bibr" rid="B46">46</xref>) as shown below:
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi>l</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi><mml:mo>,</mml:mo><mml:mtext>&#x000A0;</mml:mtext><mml:mi>d</mml:mi><mml:mi>r</mml:mi><mml:mi>u</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi><mml:mi>r</mml:mi><mml:mi>u</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000D7;</mml:mo><mml:mi>T</mml:mi><mml:mi>S</mml:mi><mml:msub><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mi>l</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000D7;</mml:mo><mml:msub><mml:mrow><mml:mi>f</mml:mi></mml:mrow><mml:mrow><mml:mi>u</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000D7;</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mrow><mml:mi>C</mml:mi></mml:mrow><mml:mrow><mml:mi>l</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mi>L</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
where <italic>k</italic><sub><italic>drug</italic></sub> is the diffusion coefficient of the drug, <italic>TSA</italic><sub><italic>lymph</italic></sub> is the total surface area of initial lymphatics, <italic>f</italic><sub><italic>u</italic></sub> is the fraction of unbound drug, (<italic>C</italic><sub><italic>int</italic></sub> &#x02212; <italic>C</italic><sub><italic>lym</italic></sub>) is the drug concentration gradient across interstitial-lymph barrier, and <italic>LT</italic> is the wall thickness of initial lymphatics.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Lymph flow draining various tissues in the human body (<xref ref-type="bibr" rid="B44">44</xref>).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Tissues</bold></th>
<th valign="top" align="center"><bold>Lymph flow (% CO)</bold></th>
<th valign="top" align="center"><bold>Fraction of extracellular water</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Adipose</td>
<td valign="top" align="center">12.8</td>
<td valign="top" align="center">0.141</td>
</tr>
<tr>
<td valign="top" align="left">Bone</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.098</td>
</tr>
<tr>
<td valign="top" align="left">Brain</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">0.092</td>
</tr>
<tr>
<td valign="top" align="left">Gut</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">0.267</td>
</tr>
<tr>
<td valign="top" align="left">Heart</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.313</td>
</tr>
<tr>
<td valign="top" align="left">Kidney</td>
<td valign="top" align="center">8.50</td>
<td valign="top" align="center">0.283</td>
</tr>
<tr>
<td valign="top" align="left">Liver</td>
<td valign="top" align="center">33.0</td>
<td valign="top" align="center">0.165</td>
</tr>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">0.348</td>
</tr>
<tr>
<td valign="top" align="left">Muscle</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.120</td>
</tr>
<tr>
<td valign="top" align="left">Skin</td>
<td valign="top" align="center">7.30</td>
<td valign="top" align="center">0.623</td>
</tr>
<tr>
<td valign="top" align="left">Spleen</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.208</td>
</tr>
<tr>
<td valign="top" align="left">Subcutaneous</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.623</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CO, Cardiac output</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The diffusion coefficient of each drug, <italic>k</italic><sub><italic>drug</italic></sub>, was calculated based on the Stokes-Einstein equation (<xref ref-type="bibr" rid="B47">47</xref>), as shown below:
<disp-formula id="E2"><label>(2)</label><mml:math id="M2"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:msub><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi><mml:mi>r</mml:mi><mml:mi>u</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi>R</mml:mi><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn><mml:mi>&#x003C0;</mml:mi><mml:mo>&#x000D7;</mml:mo><mml:msub><mml:mrow><mml:mi>N</mml:mi></mml:mrow><mml:mrow><mml:mi>a</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000D7;</mml:mo><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi><mml:mi>r</mml:mi><mml:mi>u</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:msub><mml:mo>&#x000D7;</mml:mo><mml:mi>&#x003B7;</mml:mi></mml:mrow></mml:mfrac></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
where <italic>RT</italic> is the product of gas constant and body temperature at 37&#x000B0;C = 2.5 &#x000D7; 10<sup>5</sup> Ncm/mol, <italic>N</italic><sub><italic>a</italic></sub> is the Avogadro&#x00027;s constant = 6.022 &#x000D7; 10<sup>23</sup> /mol, <italic>r</italic><sub><italic>drug</italic></sub> is radius of drug, and &#x003B7; is the viscosity of water = 1.17 &#x000D7; 10<sup>&#x02212;9</sup> Nmin/cm<sup>2</sup>.</p>
<p>Lymph is collected by diffusion through the initial lymphatics in various organs. The shape of initial lymphatics was modeled to be a cone with a closed smaller end because it has a blinded (closed) end with a small diameter, which increases along the lymphatic vessels up to the pre-collecting lymphatic vessels (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). The formula for the surface area of a cone was used to represent the surface area of a lymphatic vessels, <italic>SA</italic><sub><italic>lymph</italic></sub>, as shown in the equation below:
<disp-formula id="E3"><label>(3)</label><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="right center left"><mml:mtr><mml:mtd><mml:mi>S</mml:mi><mml:msub><mml:mrow><mml:mi>A</mml:mi></mml:mrow><mml:mrow><mml:mi>l</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mi>&#x003C0;</mml:mi><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msqrt><mml:mrow><mml:msup><mml:mrow><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo>&#x0002B;</mml:mo><mml:msup><mml:mrow><mml:msub><mml:mrow><mml:mi>r</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>l</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:msqrt></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
where <italic>r</italic><sub><italic>il</italic></sub> and <italic>l</italic><sub><italic>il</italic></sub> are the radius and length of the initial lymphatic vessel, respectively. The mean (&#x000B1;standard deviation) diameter and length of the closed end of an initial lymphatics had earlier been determined to be 30.8 &#x000B1; 9.5 &#x003BC;m and 834 &#x000B1; 796 &#x003BC;m, respectively (<xref ref-type="bibr" rid="B48">48</xref>). The suggested number of lymph nodes in the body is 500&#x02013;600 (<xref ref-type="bibr" rid="B43">43</xref>), it was therefore assumed that the total surface area of initial lymphatic vessels, <italic>TSA</italic><sub><italic>lymph</italic></sub>, is 500 times the surface area of an initial lymphatic vessel. The wall thickness of initial lymphatics has been reported to be in the range of 50&#x02013;100 nm (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>Absorption, distribution, metabolism and elimination were modeled as previously described for the base model (<xref ref-type="bibr" rid="B28">28</xref>). Previously undescribed model equations are presented in <xref ref-type="supplementary-material" rid="SM2">Supplementary Table 1</xref> for reference.</p></sec>
<sec>
<title>Model Verification and Model Simulation</title>
<p>Model predictions for key system parameters, including organ weights and blood flow, were compared with published reference values (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B49">49</xref>&#x02013;<xref ref-type="bibr" rid="B51">51</xref>). Published clinical pharmacokinetic studies on efavirenz, dolutegravir, and rilpivirine during pregnancy were searched through PubMed using combinations of drug name, pharmacokinetics, fetal exposure, infant washout, and pregnancy as keywords. In each case, the predicted steady-state pharmacokinetic parameters computed from simulated concentration-time data were compared with published data. Importantly, to ensure that the introduction of the lymphatic model into our previously published materno-fetal model does not affect key predictions, the model was revalidated for key system parameters relevant to drug disposition, and pharmacokinetic parameters in virtual populations of non-pregnant adults and pregnant women. To facilitate validation against clinical pharmacokinetic data from non-pregnant adult populations, non-pregnant equivalent of relevant model parameters and equations describing key processes were created. This allowed for easy activation/deactivation of model equations for the pregnant population while running simulation for the non-pregnant population. An absolute average fold error of &#x0003C;2.0 in predictions when compared with clinical data was set as acceptance threshold for model verification.</p>
<p>Verified models were used to predict the lymph and fetal concentration-time profiles of efavirenz, dolutegravir and rilpivirine following 100% adherence to therapy. Each simulation consisted of a virtual population of 50 females, non-pregnant or pregnant. Study drugs were administered orally at standard doses, 600 mg for efavirenz, 50 mg for dolutegravir, and 25 mg for rilpivirine. Concentration-time data were collected at steady state over a 24 h dosing period at 30 min and then hourly. Infant washout delivery was modeled by dose cessation in the maternal PBPK submodel. The extent of exposure to study drug was calculated as the ratio of AUC in compartments of interest within the same time interval. Non-adherence was modeled by dose cessation at steady state. Dose forgiveness was estimated in lymph and fetal compartment as the time it takes for drug concentration to decrease below the published minimum effective concentration (MEC) after the last dosing interval for each drug: 800 for efavirenz, 300 for rilpivirine and 50 ng/ml for dolutegravir (<xref ref-type="bibr" rid="B52">52</xref>&#x02013;<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>Essential pharmacokinetic parameters, including Cmax, Cmin, and AUC (0&#x02013;24) at steady state, for both maternal lymph and fetal compartments were computed from the corresponding concentration-time data. Dose input was stopped at delivery, and infant plasma exposure was predicted by measuring drug concentration 2&#x02013;10 h post dose.</p></sec></sec>
<sec id="s3">
<title>Result</title>
<sec>
<title>Model Validation</title>
<p>The predicted plasma pharmacokinetic parameters in the non-pregnant adult model were within 1.19&#x02013;1.80 average fold difference of clinically observed data (<xref ref-type="table" rid="T3">Table 3</xref>). Predicted plasma concentration-time curves were superimposed on clinically observed plasma concentration-time profiles (<xref ref-type="fig" rid="F2">Figure 2</xref>) of each drug to visually assess predictive performance of the model. There is lack of clinical data to validate the lymph pharmacokinetics predictions. Maternal plasma pharmacokinetic predictions of the m-f-PBPK model developed were validated with clinically observed pharmacokinetics data in third trimester, and were within 1.13&#x02013;1.76 average fold difference of clinically observed data (<xref ref-type="table" rid="T4">Table 4</xref>). The predicted concentration-time profiles were comparable with clinically observed maternal plasma concentration-time profiles in third trimester (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Median Plasma and Lymph pharmacokinetic parameters for efavirenz, dolutegravir, and rilpivirine in non-pregnant adult.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Plasma</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Lymph</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Lymph-to-plasma ratio</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Predicted</bold></th>
<th valign="top" align="center"><bold>Observed</bold></th>
<th valign="top" align="center"><bold>AAFE</bold></th>
<th valign="top" align="center"><bold>Predicted</bold></th>
<th valign="top" align="center"><bold>Observed</bold></th>
<th valign="top" align="center"><bold>Predicted</bold></th>
<th valign="top" align="center"><bold>Reported<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="8"><bold>Efavirenz 600 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (nghr/mL)</td>
<td valign="top" align="center">57,763</td>
<td valign="top" align="center">56,630 (<xref ref-type="bibr" rid="B55">55</xref>), 67,200 (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">1.46, 1.48</td>
<td valign="top" align="center">408,184</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">7.07</td>
<td valign="top" align="center">0.86&#x02013;7.14 (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">3,950</td>
<td valign="top" align="center">3,659 (<xref ref-type="bibr" rid="B55">55</xref>), 3,660 (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">1.36, 1.36</td>
<td valign="top" align="center">22,497</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">1,315</td>
<td valign="top" align="center">1,557 (<xref ref-type="bibr" rid="B55">55</xref>), 1,820 (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">1.70, 1.80</td>
<td valign="top" align="center">11,285</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Dolutegravir 50 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (nghr/mL)</td>
<td valign="top" align="center">46,114</td>
<td valign="top" align="center">47,137 (<xref ref-type="bibr" rid="B57">57</xref>), 50,300 (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">1.24, 1.26</td>
<td valign="top" align="center">765.7</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.082 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">2,924</td>
<td valign="top" align="center">3,250 (<xref ref-type="bibr" rid="B57">57</xref>), 2,650 (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">1.18, 1.19</td>
<td valign="top" align="center">46.3</td>
<td valign="top" align="center">&#x02212;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">992.0</td>
<td valign="top" align="center">950.0 (<xref ref-type="bibr" rid="B57">57</xref>), 750.0 (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">1.46, 1.55</td>
<td valign="top" align="center">17.4</td>
<td valign="top" align="center">&#x02212;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Rilpivirine 25 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (nghr/mL)</td>
<td valign="top" align="center">2,981</td>
<td valign="top" align="center">2,526 (<xref ref-type="bibr" rid="B59">59</xref>), 2,582 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">1.46, 1.45</td>
<td valign="top" align="center">4,653</td>
<td valign="top" align="center">&#x02212;</td>
<td valign="top" align="center">1.57</td>
<td valign="top" align="center">&#x0003E;1 (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">152</td>
<td valign="top" align="center">173 (<xref ref-type="bibr" rid="B59">59</xref>) 175 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">1.36, 1.37</td>
<td valign="top" align="center">225</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">97.2</td>
<td valign="top" align="center">91.0 (<xref ref-type="bibr" rid="B59">59</xref>), 92.0 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">1.57, 1.57</td>
<td valign="top" align="center">161</td>
<td valign="top" align="center">&#x02013;</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AAFE, Absolute Average Fold Error</italic>.</p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>Lymph-to-plasma ratios in vitro, ex vivo, and animal studies</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Median (IQR) Predicted vs. Observed plasma concentration-time profile following standard dose of <bold>(A)</bold> 600 mg efavirenz, <bold>(B)</bold> 50 mg dolutegravir, and <bold>(C)</bold> 25 mg rilpivirine in non-pregnant adults.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-09-734122-g0002.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Pharmacokinetic parameters of efavirenz, dolutegravir, and rilpivirine in third trimester of pregnancy and infant washout after delivery.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Maternal plasma (3rd trimester)</bold></th>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Infant washout after delivery</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Predicted</bold></th>
<th valign="top" align="center"><bold>Observed</bold></th>
<th valign="top" align="center"><bold>AAFE</bold></th>
<th/>
<th valign="top" align="center"><bold>Predicted</bold></th>
<th valign="top" align="center"><bold>Observed</bold></th>
<th valign="top" align="center"><bold>AAFE</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="8"><bold>Efavirenz 600 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (ng.h/mL)</td>
<td valign="top" align="center">58,120</td>
<td valign="top" align="center">42,943 (<xref ref-type="bibr" rid="B61">61</xref>), 55,400 (<xref ref-type="bibr" rid="B62">62</xref>), 60,020 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">1.57, 1.47, 1.46</td>
<td valign="top" align="center">C<sub>2&#x02212;10h</sub></td>
<td valign="top" align="center">1,016</td>
<td valign="top" align="center">1,100 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">1.08</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">3,270</td>
<td valign="top" align="center">3,331 (<xref ref-type="bibr" rid="B61">61</xref>), 5,440 (<xref ref-type="bibr" rid="B62">62</xref>), 5,130 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">1.33, 1.76, 1.68</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">1,724</td>
<td valign="top" align="center">1,002 (<xref ref-type="bibr" rid="B61">61</xref>), 1,600 (<xref ref-type="bibr" rid="B62">62</xref>), 1,480 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">1.99, 1.66, 1.68</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Dolutegravir 50 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (ng.h/mL)</td>
<td valign="top" align="center">41,166</td>
<td valign="top" align="center">40,800 (<xref ref-type="bibr" rid="B64">64</xref>)<xref ref-type="table-fn" rid="TN2"><sup>&#x000A7;</sup></xref>, 49,119 (<xref ref-type="bibr" rid="B2">2</xref>), 35,322 (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">1.18, 1.24, 1.24</td>
<td valign="top" align="center">C<sub>2&#x02212;10h</sub></td>
<td valign="top" align="center">907.4</td>
<td valign="top" align="center">1,730 (<xref ref-type="bibr" rid="B2">2</xref>)</td>
<td valign="top" align="center">1.91</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">2,899</td>
<td valign="top" align="center">3,150 (<xref ref-type="bibr" rid="B64">64</xref>), 3,137 (<xref ref-type="bibr" rid="B2">2</xref>), 2,534 (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">1.13, 1.13, 1.18</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">1,035</td>
<td valign="top" align="center">1,000 (<xref ref-type="bibr" rid="B64">64</xref>), 921.5 (<xref ref-type="bibr" rid="B2">2</xref>), 642 (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">1.28, 1.30, 1.68</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="8"><bold>Rilpivirine 25 mg</bold></td>
</tr>
<tr>
<td valign="top" align="left">AUC<sub>css, 0&#x02212;24/&#x0221E;</sub> (nghr/mL)</td>
<td valign="top" align="center">2,205</td>
<td valign="top" align="center">1,684 (<xref ref-type="bibr" rid="B65">65</xref>), 1,762 (<xref ref-type="bibr" rid="B3">3</xref>)<xref ref-type="table-fn" rid="TN2"><sup>&#x000A7;</sup></xref>, 1,710 (<xref ref-type="bibr" rid="B66">66</xref>)<xref ref-type="table-fn" rid="TN2"><sup>&#x000A7;</sup></xref></td>
<td valign="top" align="center">1.46, 1.43, 1.45</td>
<td valign="top" align="center">C<sub>2&#x02212;10h</sub></td>
<td valign="top" align="center">44.59</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">C<sub>max, css</sub> (ng/mL)</td>
<td valign="top" align="center">121.8</td>
<td valign="top" align="center">108 (<xref ref-type="bibr" rid="B65">65</xref>), 123 (<xref ref-type="bibr" rid="B3">3</xref>), 110 (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="center">1.29, 1.26, 1.28</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">C<sub>24, css</sub> (ng/mL)</td>
<td valign="top" align="center">66.9</td>
<td valign="top" align="center">56 (<xref ref-type="bibr" rid="B65">65</xref>), 53 (<xref ref-type="bibr" rid="B3">3</xref>), 50 (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="center">1.55, 1.58, 1.61</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AAFE, Absolute Average Fold Error. All values are reported in median;</italic></p>
<fn id="TN2">
<label>&#x000A7;</label>
<p><italic>Mean values</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Median (IQR) Predicted vs. Observed plasma concentration-time profile following standard dose of <bold>(A)</bold> 600 mg efavirenz, <bold>(B)</bold> 50 mg dolutegravir, and <bold>(C)</bold> 25 mg rilpivirine in third trimester.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-09-734122-g0003.tif"/>
</fig>
<p>Obtaining fetal plasma pharmacokinetic parameters for many drugs during clinical studies remains a challenge, but some clinical data on concentration of efavirenz and dolutegravir in non-breastfed infants shortly after delivery (2&#x02013;10 h) are available (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B63">63</xref>). However, the time of delivery was not reported in any of these studies. Thus, a delivery time of 12:00 after the last maternal dose was assumed in the model. The model-predicted infant plasma concentration 2&#x02013;10 h post-delivery was similar to the reported infant concentration for efavirenz and dolutegravir within the same period. The model-predicted infant median concentration for rilpivirine 2&#x02013;10 h post-delivery was 44.59 ng/mL.</p>
<p>The result of the sensitivity analysis showed that placental diffusion constant is a significant parameter that affect movement of drugs studied into the fetal compartment (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure 2</xref>). Also, possible influence of the lymph component on accuracy of prediction in the full m-f-PBPK model was evaluated. The median maternal and fetal plasma AUC (0&#x02013;24) for efavirenz (58,120 vs. 51,984 ng.h/ml; and 34,404 vs. 30,864 ng.h/ml) in the full m-f-PBPK model was similar to predictions in the m-f-PBPK model without lymphatic component (<italic>data not shown</italic>).</p></sec>
<sec>
<title>Model Predictions</title>
<p>Simulation was run for 50 virtual patients with mean &#x000B1; SD age and gestational age of 29 &#x000B1; 12 years and 39 &#x000B1; 2.25 weeks, respectively. Each virtual patient was administered a single dose of 600 mg of efavirenz, 50 mg of dolutegravir, or 25 mg of rilpivirine. Concentration-time data was collected after reaching steady state. The validated model was employed to predict the maternal lymph and fetal plasma pharmacokinetics of 600 mg, 50 mg and 25 mg daily dose of efavirenz, dolutegravir, and rilpivirine, respectively (<xref ref-type="fig" rid="F4">Figure 4</xref>). The maternal lymph-to-plasma and fetal-to-maternal plasma AUC ratios of 0.592, 0.781, and 0.573 were obtained for efavirenz, dolutegravir and rilpivirine, respectively (<xref ref-type="table" rid="T5">Table 5</xref>). Efavirenz was predicted to accumulate in maternal lymph by over 6-folds and rilpivirine accumulated by &#x0003C;2-folds. Poor lymph penetration was predicted for dolutegravir with only 1.6% of plasma dolutegravir entering the lymph. Predictions of fetal plasma concentrations of efavirenz, dolutegravir, and rilpivirine were 59.2, 78.1, and 57.3% of maternal plasma concentrations, respectively.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Median (IQR) Predicted maternal plasma and lymph; and fetal plasma concentration-time profile following standard dose of 600 mg efavirenz, 50 mg dolutegravir, and 25 mg rilpivirine in third trimester. Dotted line represent the reported minimum effective concentration (MEC) for each drug at the standard dose.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fped-09-734122-g0004.tif"/>
</fig>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Predicted median (IQR) maternal plasma and lymph in third trimester; and fetal plasma pharmacokinetic parameters of efavirenz, dolutegravir and rilpivirine.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Pharmacokinetic parameters</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>AUC (ng.h/mL)</bold></th>
<th valign="top" align="center"><bold>Cmax (ng/mL)</bold></th>
<th valign="top" align="center"><bold>C24 (ng/mL)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Efavirenz 600 mg (</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 50)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maternal Plasma</td>
<td valign="top" align="center">58,120 (41,149&#x02013;78,030)</td>
<td valign="top" align="center">3,270 (2,478&#x02013;4,035)</td>
<td valign="top" align="center">1,724 (1,132&#x02013;2,547)</td>
</tr>
<tr>
<td valign="top" align="left">Maternal Lymph</td>
<td valign="top" align="center">373,790 (264,477&#x02013;502,688)</td>
<td valign="top" align="center">19,470 (14,560&#x02013;24,579)</td>
<td valign="top" align="center">11,514 (7,666&#x02013;16,852)</td>
</tr>
<tr>
<td valign="top" align="left">Lymph-to-plasma AUCratio</td>
<td valign="top" align="center">6.431</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fetal Plasma</td>
<td valign="top" align="center">34,404 (24,236&#x02013;46,364)</td>
<td valign="top" align="center">1,689 (1,235&#x02013;2,170)</td>
<td valign="top" align="center">1,123 (758.4&#x02013;1,630)</td>
</tr>
<tr>
<td valign="top" align="left">Fetal-to-plasma ratio</td>
<td valign="top" align="center">0.5919</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Dolutegravir 50 mg (</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 50)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maternal Plasma</td>
<td valign="top" align="center">41,166 (36,660&#x02013;48,827)</td>
<td valign="top" align="center">2,899 (2,707&#x02013;3,259)</td>
<td valign="top" align="center">1,035 (865.3&#x02013;1,313)</td>
</tr>
<tr>
<td valign="top" align="left">Maternal Lymph</td>
<td valign="top" align="center">643.7 (571.7&#x02013;759.9)</td>
<td valign="top" align="center">39.26 (35.74&#x02013;44.01)</td>
<td valign="top" align="center">16.96 (14.29&#x02013;21.49)</td>
</tr>
<tr>
<td valign="top" align="left">Lymph-to-plasma ratio</td>
<td valign="top" align="center">0.0156</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fetal Plasma</td>
<td valign="top" align="center">32,152 (28,905&#x02013;38,541)</td>
<td valign="top" align="center">1,742 (1,620&#x02013;2,007)</td>
<td valign="top" align="center">927.4 (784.7&#x02013;1,170)</td>
</tr>
<tr>
<td valign="top" align="left">Fetal-to-plasma ratio</td>
<td valign="top" align="center">0.781</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Rilpivirine 25 mg (</bold><italic><bold>n</bold></italic> <bold>&#x0003D; 50)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Maternal Plasma</td>
<td valign="top" align="center">22,05 (1,649&#x02013;2,674)</td>
<td valign="top" align="center">121.8 (96.71&#x02013;141.4)</td>
<td valign="top" align="center">66.91 (45.01&#x02013;85.67)</td>
</tr>
<tr>
<td valign="top" align="left">Maternal Lymph</td>
<td valign="top" align="center">3,788 (2,841&#x02013;4,592)</td>
<td valign="top" align="center">195.1 (151.8&#x02013;227.8)</td>
<td valign="top" align="center">118.8 (81.43&#x02013;151.4)</td>
</tr>
<tr>
<td valign="top" align="left">Lymph-to-plasma ratio</td>
<td valign="top" align="center">1.717</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fetal Plasma</td>
<td valign="top" align="center">1,263 (888.5&#x02013;1,591)</td>
<td valign="top" align="center">61.66 (45.46&#x02013;76.0)</td>
<td valign="top" align="center">41.26 (26.83&#x02013;54.11)</td>
</tr>
<tr>
<td valign="top" align="left">Fetal-to-plasma ratio</td>
<td valign="top" align="center">0.573</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Dose forgiveness of 600 mg efavirenz, 50 mg dolutegravir, and 25 mg rilpivirine were determined in order to estimate the time it takes for the drug concentration to persist above the MEC in the maternal lymph and fetal plasma after dose cessation in third trimester. Model-predicted efavirenz and rilpivirine maternal lymph concentration remained above MEC for 150 and 56 h, respectively, but dolutegravir concentration was persistently below the MEC. In fetal plasma however, dolutegravir and efavirenz were above MEC for 36 and 66 h, respectively, but rilpivirine concentration persisted below the MEC (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Predicted maternal lymph and fetal plasma dose forgiveness of 600 mg efavirenz, 50 mg dolutegravir and 25 mg rilpivirine during third trimester.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold><italic>n</italic> &#x0003D; 50</bold></th>
<th valign="top" align="center"><bold>Efavirenz</bold></th>
<th valign="top" align="center"><bold>Dolutegravir</bold></th>
<th valign="top" align="center"><bold>Rilpivirine</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Maternal Lymph</bold></td>
</tr>
<tr>
<td valign="top" align="left">Duration of action (h)</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">56</td>
</tr>
<tr>
<td valign="top" align="left">Dosing interval (h)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">Forgiveness (h)</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">32</td>
</tr>
<tr>
<td valign="top" align="left">Forgiveness index</td>
<td valign="top" align="center">5.25</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1.33</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fetal Plasma</bold></td>
</tr>
<tr>
<td valign="top" align="left">Duration of action (h)</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Dosing interval (h)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">Forgiveness (h)</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Forgiveness index</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">1.75</td>
<td valign="top" align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our extended m-f-PBPK model which incorporated lymphatic circulation into an existing whole-body pregnancy model was successfully used to predict maternal lymph and fetal plasma pharmacokinetics of the ARVs efavirenz, dolutegravir, and rilpivirine. Model predictions for maternal plasma pharmacokinetics during the third trimester and infant delivery drug exposures were within 1.08&#x02013;1.99 average fold difference of clinical data. Predicted maternal lymph-to-plasma AUC ratio was highest for efavirenz at 6.4, followed by rilpivirine at 1.7 and lowest for dolutegravir at 0.016. Model-predicted fetal plasma-to-maternal plasma AUC ratios were 0.59 for efavirenz, 0.78 for dolutegravir, and 0.57 for rilpivirine. The median predicted lymph concentration at 24 h after dose was above the published MEC for efavirenz and rilpivirine only. The predicted low lymphoid tissue penetration of dolutegravir appears to be significantly counterbalanced by its extended dose forgiveness (42 h compared with 12 h for efavirenz and 0 h for rilpivirine) and adequate fetal compartment exposure. Hence, it is unlikely to be a predictor of maternal virological failure or mother-to-child transmission risks.</p>
<p>Although ART suppresses plasma viraemia below the limit of detection, persistence of latent but replication-competent HIV in sanctuary tissues during active treatment constitutes a challenge in HIV cure research (<xref ref-type="bibr" rid="B38">38</xref>). Despite lymphoid tissues having the highest proportion of latent HIV (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>), no comprehensive assessment of lymph pharmacokinetics of ARVs in humans (pregnant and non-pregnant) is available due to the invasiveness of the conventional lymph node aspiration technique. Although, a number of studies have used <italic>in-vitro, ex-vivo</italic>, and <italic>in vivo</italic> animals models to determine lymphatic exposure of efavirenz, dolutegravir, and rilpivirine (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B67">67</xref>), such models are known to be inadequate representations of what is expected in humans. It is known that suboptimal adherence to ART may lead to subtherapeutic drug levels in the systemic circulation, stimulating latent HIV in lymphoid tissues to resume active replication, thereby causing viral rebound (<xref ref-type="bibr" rid="B19">19</xref>). Detectable viral load is a known risk factor for MTCT and optimal adherence during pregnancy remains critical.</p>
<p>Administration of ARVs during pregnancy has several benefits, notably PMTCT which may be partly due to fetal prophylactic pre-exposure to ARVs. Past studies have relied on umbilical cord blood concentration at delivery to measure the extent of fetal exposure of ARVs. This method has limitations such as single time-point measurement and sample-time variation relative to maternal dosing. In this study, the infant plasma concentration prediction was validated with efavirenz and dolutegravir clinical data for infant washout in non-breastfed babies 2&#x02013;10 h post-delivery. Post-delivery scenarios were simulated by stopping maternal dosing at term, and then estimating median fetal concentration after 2&#x02013;10 h. The results were within the acceptable 2-fold difference for efavirenz and dolutegravir. The validated model was applied to rilpivirine and its fetal plasma concentration-time profile was also predicted successfully. The predicted fetal-to-maternal plasma ratio of efavirenz, dolutegravir, and rilpivirine were 0.591, 0.781 and 0.573, respectively. The predicted median fetal concentration at 24 h was higher than MEC for efavirenz (1,123 vs. 800 ng/mL) and dolutegravir (927.4 vs. 300 ng/mL), but lower for rilpivirine (41.26 vs. 50 ng/mL). Differential concentrations of efavirenz, dolutegravir and rilpivirine in maternal lymph and fetal plasma is, to a certain extent, as a result of differences in their physicochemical properties such as plasma protein binding, log P, molecular weight, and pKa (<xref ref-type="bibr" rid="B68">68</xref>&#x02013;<xref ref-type="bibr" rid="B70">70</xref>). For instance, high pKa, log P and hydrophobicity of efavirenz were identified to be responsible for high penetration of efavirenz into human lymphoid endothelial cells compared to dolutegravir (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Our present study predicted C<sub>trough</sub> of 992 ng/mL and AUC of 46,114 ng/mL for dolutegravir in non-pregnant women, these are similar to predictions by Freriksen et al. (<xref ref-type="bibr" rid="B71">71</xref>), and Liu et al. (<xref ref-type="bibr" rid="B72">72</xref>) respectively, and are within 1.5-fold error to clinically observed data of the drug. This further indicated a strong reliability in the non-pregnant model and the confidence to extend it to incorporate the pregnancy model. Furthermore, the maternal dolutegravir PK parameters during pregnancy predicted by the model employed in this present study were similar to those predicted by Liu et al. (<xref ref-type="bibr" rid="B72">72</xref>). Additionally, the predicted fetal exposure to dolutegravir in the present study was comparable to that reported by Freriksen et al. (<xref ref-type="bibr" rid="B71">71</xref>). Although, fetal-to-maternal AUC plasma exposure ratio was predicted in our study, it was assumed to be similar to and within the range of the cord blood-to-maternal blood concentration ratios predicted in their study and observed clinical data. Likewise, the C<sub>max</sub> and the C<sub>min</sub> of the maternal plasma concentration predicted by our model was lower and higher, respectively, in comparison to their reported values (<xref ref-type="bibr" rid="B71">71</xref>). Further studies are still suggested to establish this assumption of similarity.</p>
<p>Dose forgiveness was used to estimate how long it would take for drug concentration in maternal lymph and fetal plasma to reduce below MEC in non-adhering pregnant mothers. Efavirenz and rilpivirine lymph concentrations remained above MEC for 126 and 32 h, respectively; efavirenz may therefore offer a longer protection in lymph against latent HIV in non-adhering pregnant women. While this may be an advantage, the ability of wild-type HIV to develop resistance to efavirenz monotherapy is of concern (<xref ref-type="bibr" rid="B67">67</xref>). Therefore, further investigation is required to know the extent of lymph exposure of tenofovir and emtricitabine which are commonly used in combination with efavirenz. In fetal plasma, efavirenz and dolutegravir concentration remained above MEC for 12 and 42 h, respectively. These results showed that efavirenz and rilpivirine may offer adequate protection against viral rebound from the maternal lymph nodes, but in rare situations where the virus enters the systemic circulation, efavirenz and dolutegravir may offer adequate fetal pre-exposure prophylaxis. Longer dose forgiveness of dolutegravir in fetal plasma offers sustained pre-exposure prophylaxis to fetus in pregnant women with suboptimal adherence. These results do not reflect the enzyme induction or inhibition effect of other drugs used as combination therapy. Therefore, interpretation of these results may be limited clinically.</p>
<p>Although, the current model reliably predicted lymphatic and fetal exposure to efavirenz, dolutegravir, and rilpivirine during the third trimester, a number of limitations are identifiable. Firstly, our model did not account for the possible role of transporter activities in placental drug transfer due to lack of sufficient data for model parameterization. The use of data from cell lines expressing relevant transporters such the BeWo monolayer are possible options to mechanistically describe these processes. Unfortunately, these data are not currently available in the literature and thus the option of relying only on passive processes for our predictions. Additionally, such models do not adequately recapitulate these processes in humans. The inclusion of drug transporters and associated variability in their expression can potentially improve the accuracy of model predictions, particularly for drugs that are substrates for these transporters. Secondly, due to lack of data we relied on key assumptions supported by sensitivity analyses for placental diffusion constants of study drugs. Model predictions were fitted to clinically observed infant plasma concentration at delivery. While this resulted in adequate predictions of infant exposure of the study drugs at delivery, further enhancement is desirable in future studies. Thirdly, there was no previous study to validate rilpivirine infant washout data. The validated model with available clinical data on infant washout for efavirenz and dolutegravir was extended to predict for rilpivirine. Furthermore, there are no clinical data available in humans to validate the predictions of the lymphatic model. Although lymph exposure data are available from <italic>ex-vivo, in-vitro</italic>, and animal studies, we could not rely on them to assess the predictive performance of the lymphatic model due to well-established inter-species variation.</p>
<p>In conclusion, predictions from our extended m-f-PBPK model showed differences in the distribution of efavirenz, rilpivirine, and dolutegravir into the lymph during pregnancy and the fetal compartment. Importantly, the inclusion of dose forgiveness predictions indicate alignment with recommendations of no dose adjustment despite moderate changes in exposure during pregnancy observed in clinical studies. This is an important new application of PBPK modeling strategy to evaluate the adequacy of drug exposure in an otherwise inaccessible compartment.</p></sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p></sec>
<sec id="s6">
<title>Author Contributions</title>
<p>All co-authors contributed equally to the conception of the ideas presented here, the conduct of the research, and the preparation of this manuscript.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec sec-type="disclaimer" id="s7">
<title>Publisher&#x00027;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>
</body>
<back>
<sec sec-type="supplementary-material" id="s8">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2021.734122/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2021.734122/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Data_Sheet_2.PDF" id="SM2" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dooley</surname> <given-names>KE</given-names></name> <name><surname>Denti</surname> <given-names>P</given-names></name> <name><surname>Martinson</surname> <given-names>N</given-names></name> <name><surname>Cohn</surname> <given-names>S</given-names></name> <name><surname>Mashabela</surname> <given-names>F</given-names></name> <name><surname>Hoffmann</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of efavirenz and treatment of HIV-1 among pregnant women with and without tuberculosis coinfection</article-title>. <source>J Infect Dis.</source> (<year>2015</year>) <volume>211</volume>:<fpage>197</fpage>&#x02013;<lpage>205</lpage>. <pub-id pub-id-type="doi">10.1093/infdis/jiu429</pub-id><pub-id pub-id-type="pmid">25081933</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mulligan</surname> <given-names>N</given-names></name> <name><surname>Best</surname> <given-names>BM</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Capparelli</surname> <given-names>EV</given-names></name> <name><surname>Stek</surname> <given-names>A</given-names></name> <name><surname>Barr</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Dolutegravir pharmacokinetics in pregnant and postpartum women living with HIV</article-title>. <source>AIDS.</source> (<year>2018</year>) <volume>32</volume>:<fpage>729</fpage>&#x02013;<lpage>37</lpage>. <pub-id pub-id-type="doi">10.1097/QAD.0000000000001755</pub-id><pub-id pub-id-type="pmid">29369162</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Osiyemi</surname> <given-names>O</given-names></name> <name><surname>Yasin</surname> <given-names>S</given-names></name> <name><surname>Zorrilla</surname> <given-names>C</given-names></name> <name><surname>Bicer</surname> <given-names>C</given-names></name> <name><surname>Hillewaert</surname> <given-names>V</given-names></name> <name><surname>Brown</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics, antiviral activity, and safety of rilpivirine in pregnant women with hiv-1 infection: results of a phase 3b, multicenter, open-label study</article-title>. <source>Infect Dis Ther.</source> (<year>2018</year>) <volume>7</volume>:<fpage>147</fpage>&#x02013;<lpage>59</lpage>. <pub-id pub-id-type="doi">10.1007/s40121-017-0184-8</pub-id><pub-id pub-id-type="pmid">29335895</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Colbers</surname> <given-names>A</given-names></name> <name><surname>Greupink</surname> <given-names>R</given-names></name> <name><surname>Burger</surname> <given-names>D</given-names></name></person-group>. <article-title>Pharmacological considerations on the use of antiretrovirals in pregnancy</article-title>. <source>Curr Opin Infect Dis.</source> (<year>2013</year>) <volume>26</volume>:<fpage>575</fpage>&#x02013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1097/QCO.0000000000000017</pub-id><pub-id pub-id-type="pmid">24152762</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nduati</surname> <given-names>R</given-names></name> <name><surname>John</surname> <given-names>G</given-names></name> <name><surname>Mbori-Ngacha</surname> <given-names>D</given-names></name> <name><surname>Richardson</surname> <given-names>B</given-names></name> <name><surname>Overbaugh</surname> <given-names>J</given-names></name> <name><surname>Mwatha</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Effect of breastfeeding and formula feeding on transmission of HIV-1: a randomized clinical trial</article-title>. <source>JAMA.</source> (<year>2000</year>) <volume>283</volume>:<fpage>1167</fpage>&#x02013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1001/jama.283.9.1167</pub-id><pub-id pub-id-type="pmid">10703779</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zorrilla</surname> <given-names>CD</given-names></name> <name><surname>Wright</surname> <given-names>R</given-names></name> <name><surname>Osiyemi</surname> <given-names>OO</given-names></name> <name><surname>Yasin</surname> <given-names>S</given-names></name> <name><surname>Baugh</surname> <given-names>B</given-names></name> <name><surname>Brown</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Total and unbound darunavir pharmacokinetics in pregnant women infected with HIV-1: results of a study of darunavir/ritonavir 600/100 mg administered twice daily</article-title>. <source>HIV Med.</source> (<year>2014</year>) <volume>15</volume>:<fpage>50</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1111/hiv.12047</pub-id><pub-id pub-id-type="pmid">23731450</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kreitchmann</surname> <given-names>R</given-names></name> <name><surname>Best</surname> <given-names>BM</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Stek</surname> <given-names>A</given-names></name> <name><surname>Caparelli</surname> <given-names>E</given-names></name> <name><surname>Watts</surname> <given-names>DH</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of an increased atazanavir dose with and without tenofovir during the third trimester of pregnancy</article-title>. <source>JAIDS J Acquired Immune Defic Syndr.</source> (<year>2013</year>) <volume>63</volume>:<fpage>59</fpage>&#x02013;<lpage>66</lpage>. <pub-id pub-id-type="doi">10.1097/QAI.0b013e318289b4d2</pub-id><pub-id pub-id-type="pmid">23392467</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tubiana</surname> <given-names>R</given-names></name> <name><surname>Le Chenadec</surname> <given-names>J</given-names></name> <name><surname>Rouzioux</surname> <given-names>C</given-names></name> <name><surname>Mandelbrot</surname> <given-names>L</given-names></name> <name><surname>Hamrene</surname> <given-names>K</given-names></name> <name><surname>Dollfus</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Factors associated with mother-to-child transmission of HIV-1 despite a maternal viral load &#x0003C;500 copies/ml at delivery: a case-control study nested in the French Perinatal cohort (EPF-ANRS CO1)</article-title>. <source>Clin Infect Dis.</source> (<year>2010</year>) <volume>50</volume>:<fpage>585</fpage>&#x02013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1086/650005</pub-id><pub-id pub-id-type="pmid">20070234</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Launay</surname> <given-names>O</given-names></name> <name><surname>Tod</surname> <given-names>M</given-names></name> <name><surname>Tsch&#x000F6;pe</surname> <given-names>I</given-names></name> <name><surname>Si-Mohamed</surname> <given-names>A</given-names></name> <name><surname>B&#x000E9;larbi</surname> <given-names>L</given-names></name> <name><surname>Charpentier</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Residual HIV-1 RNA and HIV-1 DNA production in the genital tract reservoir of women treated with HAART: the prospective ANRS EP24 GYNODYN study</article-title>. <source>Antiviral Ther.</source> (<year>2011</year>) <volume>16</volume>:<fpage>843</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.3851/IMP1856</pub-id><pub-id pub-id-type="pmid">21900716</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>European Collaborative Study</collab></person-group>. <article-title>Mother-to-child transmission of HIV infection in the era of highly active antiretroviral therapy</article-title>. <source>Clin Infect Dis</source>. (<year>2005</year>) <volume>40</volume>:<fpage>458</fpage>&#x02013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.1086/427287</pub-id><pub-id pub-id-type="pmid">15668871</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Quinn</surname> <given-names>TC</given-names></name> <name><surname>Wawer</surname> <given-names>MJ</given-names></name> <name><surname>Sewankambo</surname> <given-names>N</given-names></name> <name><surname>Serwadda</surname> <given-names>D</given-names></name> <name><surname>Li</surname> <given-names>C</given-names></name> <name><surname>Wabwire-Mangen</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Viral load and heterosexual transmission of human immunodeficiency virus type 1. Rakai Project Study Group</article-title>. <source>N Engl J Med.</source> (<year>2000</year>) <volume>342</volume>:<fpage>921</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1056/NEJM200003303421303</pub-id><pub-id pub-id-type="pmid">10738050</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Eisele</surname> <given-names>E</given-names></name> <name><surname>Siliciano</surname> <given-names>RF</given-names></name></person-group>. <article-title>Redefining the viral reservoirs that prevent HIV-1 eradication</article-title>. <source>Immunity.</source> (<year>2012</year>) <volume>37</volume>:<fpage>377</fpage>&#x02013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1016/j.immuni.2012.08.010</pub-id><pub-id pub-id-type="pmid">22999944</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jilek</surname> <given-names>BL</given-names></name> <name><surname>Zarr</surname> <given-names>M</given-names></name> <name><surname>Sampah</surname> <given-names>ME</given-names></name> <name><surname>Rabi</surname> <given-names>SA</given-names></name> <name><surname>Bullen</surname> <given-names>CK</given-names></name> <name><surname>Lai</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>A quantitative basis for antiretroviral therapy for HIV-1 infection</article-title>. <source>Nat Med.</source> (<year>2012</year>) <volume>18</volume>:<fpage>446</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1038/nm.2649</pub-id><pub-id pub-id-type="pmid">22344296</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Estes</surname> <given-names>JD</given-names></name> <name><surname>Kityo</surname> <given-names>C</given-names></name> <name><surname>Ssali</surname> <given-names>F</given-names></name> <name><surname>Swainson</surname> <given-names>L</given-names></name> <name><surname>Makamdop</surname> <given-names>KN</given-names></name> <name><surname>Del Prete</surname> <given-names>GQ</given-names></name> <etal/></person-group>. <article-title>Defining total-body AIDS-virus burden with implications for curative strategies</article-title>. <source>Nat Med.</source> (<year>2017</year>) <volume>23</volume>:<fpage>1271</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1038/nm.4411</pub-id><pub-id pub-id-type="pmid">28967921</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Henrich</surname> <given-names>TJ</given-names></name> <name><surname>Deeks</surname> <given-names>SG</given-names></name> <name><surname>Pillai</surname> <given-names>SK</given-names></name></person-group>. <article-title>Measuring the size of the latent human immunodeficiency virus reservoir: the present and future of evaluating eradication strategies</article-title>. <source>J Infect Dis.</source> (<year>2017</year>) <volume>215</volume>:<fpage>S134</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1093/infdis/jiw648</pub-id><pub-id pub-id-type="pmid">28520968</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burgunder</surname> <given-names>E</given-names></name> <name><surname>Fallon</surname> <given-names>JK</given-names></name> <name><surname>White</surname> <given-names>N</given-names></name> <name><surname>Schauer</surname> <given-names>AP</given-names></name> <name><surname>Sykes</surname> <given-names>C</given-names></name> <name><surname>Remling-Mulder</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Antiretroviral drug concentrations in lymph nodes: a cross-species comparison of the effect of drug transporter expression, viral infection, and sex in humanized mice, nonhuman primates, and humans</article-title>. <source>J Pharmacol Exp Ther.</source> (<year>2019</year>) <volume>370</volume>:<fpage>360</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1124/jpet.119.259150</pub-id><pub-id pub-id-type="pmid">31235531</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Embretson</surname> <given-names>J</given-names></name> <name><surname>Zupancic</surname> <given-names>M</given-names></name> <name><surname>Ribas</surname> <given-names>JL</given-names></name> <name><surname>Burke</surname> <given-names>A</given-names></name> <name><surname>Racz</surname> <given-names>P</given-names></name> <name><surname>Tenner-Racz</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Massive covert infection of helper T lymphocytes and macrophages by HIV during the incubation period of AIDS</article-title>. <source>Nature.</source> (<year>1993</year>) <volume>362</volume>:<fpage>359</fpage>&#x02013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1038/362359a0</pub-id><pub-id pub-id-type="pmid">8096068</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pantaleo</surname> <given-names>G</given-names></name> <name><surname>Graziosi</surname> <given-names>C</given-names></name> <name><surname>Demarest</surname> <given-names>JF</given-names></name> <name><surname>Butini</surname> <given-names>L</given-names></name> <name><surname>Montroni</surname> <given-names>M</given-names></name> <name><surname>Fox</surname> <given-names>CH</given-names></name> <etal/></person-group>. <article-title>HIV infection is active and progressive in lymphoid tissue during the clinically latent stage of disease</article-title>. <source>Nature.</source> (<year>1993</year>) <volume>362</volume>:<fpage>355</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1038/362355a0</pub-id><pub-id pub-id-type="pmid">8455722</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barton</surname> <given-names>K</given-names></name> <name><surname>Winckelmann</surname> <given-names>A</given-names></name> <name><surname>Palmer</surname> <given-names>S</given-names></name></person-group>. <article-title>HIV-1 reservoirs during suppressive therapy</article-title>. <source>Trends Microbiol.</source> (<year>2016</year>) <volume>24</volume>:<fpage>345</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1016/j.tim.2016.01.006</pub-id><pub-id pub-id-type="pmid">26875617</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rothenberger</surname> <given-names>MK</given-names></name> <name><surname>Keele</surname> <given-names>BF</given-names></name> <name><surname>Wietgrefe</surname> <given-names>SW</given-names></name> <name><surname>Fletcher</surname> <given-names>CV</given-names></name> <name><surname>Beilman</surname> <given-names>GJ</given-names></name> <name><surname>Chipman</surname> <given-names>JG</given-names></name> <etal/></person-group>. <article-title>Large number of rebounding/founder HIV variants emerge from multifocal infection in lymphatic tissues after treatment interruption</article-title>. <source>Proc Natl Acad Sci USA.</source> (<year>2015</year>) <volume>112</volume>:<fpage>E1126</fpage>&#x02013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1414926112</pub-id><pub-id pub-id-type="pmid">25713386</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kuo</surname> <given-names>HH</given-names></name> <name><surname>Lichterfeld</surname> <given-names>M</given-names></name></person-group>. <article-title>Recent progress in understanding HIV reservoirs</article-title>. <source>Curr Opin HIV AIDS</source>. (<year>2018</year>) <volume>13</volume>:<fpage>137</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1097/COH.0000000000000441</pub-id><pub-id pub-id-type="pmid">29232209</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kulpa</surname> <given-names>DA</given-names></name> <name><surname>Chomont</surname> <given-names>N</given-names></name></person-group>. <article-title>HIV persistence in the setting of antiretroviral therapy: when, where and how does HIV hide?</article-title> <source>J Virus Erad</source>. (<year>2015</year>) <volume>1</volume>:<fpage>59</fpage>&#x02013;<lpage>68</lpage>. <pub-id pub-id-type="doi">10.1016/S2055-6640(20)30490-8</pub-id><pub-id pub-id-type="pmid">26448966</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="book"><person-group person-group-type="author"><name><surname>Fletcher</surname> <given-names>CV</given-names></name> <name><surname>Podany</surname> <given-names>AT</given-names></name></person-group>. <article-title>Antiretroviral drug penetration into lymphoid tissue</article-title>. In: <person-group person-group-type="editor"><name><surname>Hope</surname> <given-names>TJ</given-names></name> <name><surname>Stevenson</surname> <given-names>M</given-names></name> <name><surname>Richman</surname> <given-names>D</given-names></name></person-group>, editors. <source>Encyclopedia of AIDS</source>. <publisher-loc>New York, NY</publisher-loc>: <publisher-name>Springer</publisher-name> (<year>2014</year>). pp. <fpage>1</fpage>&#x02013;<lpage>9</lpage>.</citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dyavar</surname> <given-names>SR</given-names></name> <name><surname>Gautam</surname> <given-names>N</given-names></name> <name><surname>Podany</surname> <given-names>AT</given-names></name> <name><surname>Winchester</surname> <given-names>LC</given-names></name> <name><surname>Weinhold</surname> <given-names>JA</given-names></name> <name><surname>Mykris</surname> <given-names>TM</given-names></name> <etal/></person-group>. <article-title>Assessing the lymphoid tissue bioavailability of antiretrovirals in human primary lymphoid endothelial cells and in mice</article-title>. <source>J Antimicrob Chemother.</source> (<year>2019</year>) <volume>74</volume>:<fpage>2974</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1093/jac/dkz273</pub-id><pub-id pub-id-type="pmid">31335938</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thompson</surname> <given-names>CG</given-names></name> <name><surname>Cohen</surname> <given-names>MS</given-names></name> <name><surname>Kashuba</surname> <given-names>ADM</given-names></name></person-group>. <article-title>Antiretroviral pharmacology in mucosal tissues</article-title>. <source>J Acquired Immune Defic Syndr.</source> (<year>2013</year>) <volume>63</volume>:<fpage>S240</fpage>&#x02013;<lpage>S7</lpage>. <pub-id pub-id-type="doi">10.1097/QAI.0b013e3182986ff8</pub-id><pub-id pub-id-type="pmid">23764642</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fletcher</surname> <given-names>CV</given-names></name> <name><surname>Staskus</surname> <given-names>K</given-names></name> <name><surname>Wietgrefe</surname> <given-names>SW</given-names></name> <name><surname>Rothenberger</surname> <given-names>M</given-names></name> <name><surname>Reilly</surname> <given-names>C</given-names></name> <name><surname>Chipman</surname> <given-names>JG</given-names></name> <etal/></person-group>. <article-title>Persistent HIV-1 replication is associated with lower antiretroviral drug concentrations in lymphatic tissues</article-title>. <source>Proc Natl Acad Sci USA.</source> (<year>2014</year>) <volume>111</volume>:<fpage>2307</fpage>&#x02013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1318249111</pub-id><pub-id pub-id-type="pmid">24469825</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>Z</given-names></name> <name><surname>Unadkat</surname> <given-names>JD</given-names></name></person-group>. <article-title>Development of a novel maternal-fetal physiologically based pharmacokinetic model II: verification of the model for passive placental permeability drugs</article-title>. <source>Drug Metab Dispos.</source> (<year>2017</year>) <volume>45</volume>:<fpage>939</fpage>&#x02013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.1124/dmd.116.073957</pub-id><pub-id pub-id-type="pmid">28049636</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Atoyebi</surname> <given-names>SA</given-names></name> <name><surname>Rajoli</surname> <given-names>RKR</given-names></name> <name><surname>Adejuyigbe</surname> <given-names>E</given-names></name> <name><surname>Owen</surname> <given-names>A</given-names></name> <name><surname>Bolaji</surname> <given-names>O</given-names></name> <name><surname>Siccardi</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Using mechanistic physiologically-based pharmacokinetic models to assess prenatal drug exposure: thalidomide versus efavirenz as case studies</article-title>. <source>Eur J Pharmaceut Sci.</source> (<year>2019</year>) <volume>140</volume>:<fpage>105068</fpage>. <pub-id pub-id-type="doi">10.1016/j.ejps.2019.105068</pub-id><pub-id pub-id-type="pmid">31518681</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>De Sousa Mendes</surname> <given-names>M</given-names></name> <name><surname>Lui</surname> <given-names>G</given-names></name> <name><surname>Zheng</surname> <given-names>Y</given-names></name> <name><surname>Pressiat</surname> <given-names>C</given-names></name> <name><surname>Hirt</surname> <given-names>D</given-names></name> <name><surname>Valade</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>A physiologically-based pharmacokinetic model to predict human fetal exposure for a drug metabolized by several CYP450 pathways</article-title>. <source>Clin Pharmacokinet.</source> (<year>2017</year>) <volume>56</volume>:<fpage>537</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1007/s40262-016-0457-5</pub-id><pub-id pub-id-type="pmid">27766562</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schalkwijk</surname> <given-names>S</given-names></name> <name><surname>Buaben</surname> <given-names>AO</given-names></name> <name><surname>Freriksen</surname> <given-names>JJM</given-names></name> <name><surname>Colbers</surname> <given-names>AP</given-names></name> <name><surname>Burger</surname> <given-names>DM</given-names></name> <name><surname>Greupink</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Prediction of fetal darunavir exposure by integrating human <italic>ex-vivo</italic> placental transfer and physiologically based pharmacokinetic modeling</article-title>. <source>Clin Pharmacokinet.</source> (<year>2018</year>) <volume>57</volume>:<fpage>705</fpage>&#x02013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1007/s40262-017-0583-8</pub-id><pub-id pub-id-type="pmid">28744795</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bosgra</surname> <given-names>S</given-names></name> <name><surname>van Eijkeren</surname> <given-names>J</given-names></name> <name><surname>Bos</surname> <given-names>P</given-names></name> <name><surname>Zeilmaker</surname> <given-names>M</given-names></name> <name><surname>Slob</surname> <given-names>W</given-names></name></person-group>. <article-title>An improved model to predict physiologically based model parameters and their inter-individual variability from anthropometry</article-title>. <source>Crit Rev Toxicol.</source> (<year>2012</year>) <volume>42</volume>:<fpage>751</fpage>&#x02013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.3109/10408444.2012.709225</pub-id><pub-id pub-id-type="pmid">22954170</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>Z</given-names></name> <name><surname>Imperial</surname> <given-names>MZ</given-names></name> <name><surname>Patilea-Vrana</surname> <given-names>GI</given-names></name> <name><surname>Wedagedera</surname> <given-names>J</given-names></name> <name><surname>Gaohua</surname> <given-names>L</given-names></name> <name><surname>Unadkat</surname> <given-names>JD</given-names></name></person-group>. <article-title>Development of a novel maternal-fetal physiologically based pharmacokinetic model I: insights into factors that determine fetal drug exposure through simulations and sensitivity analyses</article-title>. <source>Drug Metab Dispos Biol Fate Chem.</source> (<year>2017</year>) <volume>45</volume>:<fpage>920</fpage>&#x02013;<lpage>38</lpage>. <pub-id pub-id-type="doi">10.1124/dmd.117.075192</pub-id><pub-id pub-id-type="pmid">28588050</pub-id></citation></ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>ICRP</collab></person-group>. <article-title>Basic anatomical and physiological data for use in radiological protection: reference values: ICRP Publication 89</article-title>. <source>Ann ICRP.</source> (<year>2002</year>) <volume>32</volume>:<fpage>5</fpage>&#x02013;<lpage>265</lpage>. <pub-id pub-id-type="doi">10.1016/S0146-6453(03)00002-2</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rajoli</surname> <given-names>RKR</given-names></name> <name><surname>Back</surname> <given-names>DJ</given-names></name> <name><surname>Rannard</surname> <given-names>S</given-names></name> <name><surname>Freel Meyers</surname> <given-names>CL</given-names></name> <name><surname>Flexner</surname> <given-names>C</given-names></name> <name><surname>Owen</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Physiologically based pharmacokinetic modelling to inform development of intramuscular long-acting nanoformulations for HIV</article-title>. <source>Clin Pharmacokinet.</source> (<year>2015</year>) <volume>54</volume>:<fpage>639</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1007/s40262-014-0227-1</pub-id><pub-id pub-id-type="pmid">25523214</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fandaruff</surname> <given-names>C</given-names></name> <name><surname>Segatto Silva</surname> <given-names>MA</given-names></name> <name><surname>Galindo Bedor</surname> <given-names>DC</given-names></name> <name><surname>de Santana</surname> <given-names>DP</given-names></name> <name><surname>Rocha</surname> <given-names>HVA</given-names></name> <name><surname>Rebuffi</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Correlation between microstructure and bioequivalence in Anti-HIV Drug Efavirenz</article-title>. <source>Eur J Pharmaceut Biopharmaceut.</source> (<year>2015</year>) <volume>91</volume>:<fpage>52</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.ejpb.2015.01.020</pub-id><pub-id pub-id-type="pmid">25661587</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="book"><person-group person-group-type="author"><collab>Australian Government Department of Health</collab></person-group>. <source>Australian Public Assessment Report for Dolutegravir (as Sodium)</source> (<year>2014</year>).</citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>van</surname> <given-names>&#x00027;t Klooster G</given-names></name> <name><surname>Hoeben</surname> <given-names>E</given-names></name> <name><surname>Borghys</surname> <given-names>H</given-names></name> <name><surname>Looszova</surname> <given-names>A</given-names></name> <name><surname>Bouche</surname> <given-names>MP</given-names></name> <name><surname>van Velsen</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics and disposition of rilpivirine (TMC278) nanosuspension as a long-acting injectable antiretroviral formulation</article-title>. <source>Antimicrob Agents Chemother.</source> (<year>2010</year>) <volume>54</volume>:<fpage>2042</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.01529-09</pub-id><pub-id pub-id-type="pmid">20160045</pub-id></citation></ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davey</surname> <given-names>RT</given-names></name> <name><surname>Bhat</surname> <given-names>N</given-names></name> <name><surname>Yoder</surname> <given-names>C</given-names></name> <name><surname>Chun</surname> <given-names>TW</given-names></name> <name><surname>Metcalf</surname> <given-names>JA</given-names></name> <name><surname>Dewar</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>HIV-1 and T cell dynamics after interruption of highly active antiretroviral therapy (HAART) in patients with a history of sustained viral suppression</article-title>. <source>Proc Natl Acad Sci USA.</source> (<year>1999</year>) <volume>96</volume>:<fpage>15109</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.96.26.15109</pub-id><pub-id pub-id-type="pmid">10611346</pub-id></citation></ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Song</surname> <given-names>I</given-names></name> <name><surname>Borland</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>S</given-names></name> <name><surname>Peppercorn</surname> <given-names>A</given-names></name> <name><surname>Wajima</surname> <given-names>T</given-names></name> <name><surname>Piscitelli</surname> <given-names>SC</given-names></name></person-group>. <article-title>Effect of fosamprenavir-ritonavir on the pharmacokinetics of dolutegravir in healthy subjects</article-title>. <source>Antimicrob Agents Chemother.</source> (<year>2014</year>) <volume>58</volume>:<fpage>6696</fpage>&#x02013;<lpage>700</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.03282-14</pub-id><pub-id pub-id-type="pmid">25155604</pub-id></citation></ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>N&#x000E9;ant</surname> <given-names>N</given-names></name> <name><surname>Gattacceca</surname> <given-names>F</given-names></name> <name><surname>L&#x000EA;</surname> <given-names>MP</given-names></name> <name><surname>Yazdanpanah</surname> <given-names>Y</given-names></name> <name><surname>Dhiver</surname> <given-names>C</given-names></name> <name><surname>Bregigeon</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Population pharmacokinetics of Rilpivirine in HIV-1-infected patients treated with the single-tablet regimen rilpivirine/tenofovir/emtricitabine</article-title>. <source>Eur J Clin Pharmacol.</source> (<year>2018</year>) <volume>74</volume>:<fpage>473</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1007/s00228-017-2405-1</pub-id><pub-id pub-id-type="pmid">29374296</pub-id></citation></ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Abduljalil</surname> <given-names>K</given-names></name> <name><surname>Furness</surname> <given-names>P</given-names></name> <name><surname>Johnson</surname> <given-names>TN</given-names></name> <name><surname>Rostami-Hodjegan</surname> <given-names>A</given-names></name> <name><surname>Soltani</surname> <given-names>H</given-names></name></person-group>. <article-title>Anatomical, physiological and metabolic changes with gestational age during normal pregnancy: a database for parameters required in physiologically based pharmacokinetic modelling</article-title>. <source>Clin Pharmacokinet.</source> (<year>2012</year>) <volume>51</volume>:<fpage>365</fpage>&#x02013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.2165/11597440-000000000-00000</pub-id><pub-id pub-id-type="pmid">22515555</pub-id></citation></ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sutton</surname> <given-names>MS</given-names></name> <name><surname>Groves</surname> <given-names>A</given-names></name> <name><surname>MacNeill</surname> <given-names>A</given-names></name> <name><surname>Sharland</surname> <given-names>G</given-names></name> <name><surname>Allan</surname> <given-names>L</given-names></name></person-group>. <article-title>Assessment of changes in blood flow through the lungs and foramen ovale in the normal human fetus with gestational age: a prospective Doppler echocardiographic study</article-title>. <source>Br Heart J.</source> (<year>1994</year>) <volume>71</volume>:<fpage>232</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1136/hrt.71.3.232</pub-id><pub-id pub-id-type="pmid">8142191</pub-id></citation></ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moore</surname> <given-names>JE</given-names></name> <name><surname>Bertram</surname> <given-names>CD</given-names></name></person-group>. <article-title>Lymphatic system flows</article-title>. <source>Ann Rev Fluid Mech.</source> (<year>2018</year>) <volume>50</volume>:<fpage>459</fpage>&#x02013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1146/annurev-fluid-122316-045259</pub-id><pub-id pub-id-type="pmid">29713107</pub-id></citation></ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gill</surname> <given-names>KL</given-names></name> <name><surname>Gardner</surname> <given-names>I</given-names></name> <name><surname>Li</surname> <given-names>L</given-names></name> <name><surname>Jamei</surname> <given-names>M</given-names></name></person-group>. <article-title>A Bottom-up whole-body physiologically based pharmacokinetic model to mechanistically predict tissue distribution and the rate of subcutaneous absorption of therapeutic proteins</article-title>. <source>AAPS J.</source> (<year>2016</year>) <volume>18</volume>:<fpage>156</fpage>&#x02013;<lpage>70</lpage>. <pub-id pub-id-type="doi">10.1208/s12248-015-9819-4</pub-id><pub-id pub-id-type="pmid">26408308</pub-id></citation></ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Niederalt</surname> <given-names>C</given-names></name> <name><surname>Kuepfer</surname> <given-names>L</given-names></name> <name><surname>Solodenko</surname> <given-names>J</given-names></name> <name><surname>Eissing</surname> <given-names>T</given-names></name> <name><surname>Siegmund</surname> <given-names>HU</given-names></name> <name><surname>Block</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>A generic whole body physiologically based pharmacokinetic model for therapeutic proteins in PK-Sim</article-title>. <source>J Pharmacokinet Pharmacodyn.</source> (<year>2018</year>) <volume>45</volume>:<fpage>235</fpage>&#x02013;<lpage>57</lpage>. <pub-id pub-id-type="doi">10.1007/s10928-017-9559-4</pub-id><pub-id pub-id-type="pmid">29234936</pub-id></citation></ref>
<ref id="B46">
<label>46.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffiths</surname> <given-names>SK</given-names></name> <name><surname>Campbell</surname> <given-names>JP</given-names></name></person-group>. <article-title>Placental structure, function and drug transfer</article-title>. <source>Continuing Educ Anaesth Crit Care Pain.</source> (<year>2015</year>) <volume>15</volume>:<fpage>84</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1093/bjaceaccp/mku013</pub-id></citation></ref>
<ref id="B47">
<label>47.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Margaris</surname> <given-names>KN</given-names></name> <name><surname>Black</surname> <given-names>RA</given-names></name></person-group>. <article-title>Modelling the lymphatic system: challenges and opportunities</article-title>. <source>J R Soc Interface.</source> (<year>2012</year>) <volume>9</volume>:<fpage>601</fpage>&#x02013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1098/rsif.2011.0751</pub-id><pub-id pub-id-type="pmid">22237677</pub-id></citation></ref>
<ref id="B48">
<label>48.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sloas</surname> <given-names>DC</given-names></name> <name><surname>Stewart</surname> <given-names>SA</given-names></name> <name><surname>Sweat</surname> <given-names>RS</given-names></name> <name><surname>Doggett</surname> <given-names>TM</given-names></name> <name><surname>Alves</surname> <given-names>NG</given-names></name> <name><surname>Breslin</surname> <given-names>JW</given-names></name> <etal/></person-group>. <article-title>Estimation of the pressure drop required for lymph flow through initial lymphatic networks</article-title>. <source>Lymph Res Biol.</source> (<year>2016</year>) <volume>14</volume>:<fpage>62</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1089/lrb.2015.0039</pub-id><pub-id pub-id-type="pmid">27267167</pub-id></citation></ref>
<ref id="B49">
<label>49.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Molina</surname> <given-names>DK</given-names></name> <name><surname>DiMaio</surname> <given-names>VJM</given-names></name></person-group>. <article-title>Normal organ weights in women: part II-the brain, lungs, liver, spleen, and kidneys</article-title>. <source>Am J Forensic Med Pathol.</source> (<year>2015</year>) <volume>36</volume>:<fpage>182</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1097/PAF.0000000000000175</pub-id><pub-id pub-id-type="pmid">26108038</pub-id></citation></ref>
<ref id="B50">
<label>50.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Molina</surname> <given-names>DK</given-names></name> <name><surname>DiMaio</surname> <given-names>VJM</given-names></name></person-group>. <article-title>Normal organ weights in men: part I-the heart</article-title>. <source>Am J Forensic Med Pathol.</source> (<year>2012</year>) <volume>33</volume>:<fpage>362</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1097/PAF.0b013e31823d298b</pub-id><pub-id pub-id-type="pmid">22182983</pub-id></citation></ref>
<ref id="B51">
<label>51.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Archie</surname> <given-names>JG</given-names></name> <name><surname>Collins</surname> <given-names>JS</given-names></name> <name><surname>Lebel</surname> <given-names>RR</given-names></name></person-group>. <article-title>Quantitative standards for fetal and neonatal autopsy</article-title>. <source>Am J Clin Pathol.</source> (<year>2006</year>) <volume>126</volume>:<fpage>256</fpage>&#x02013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.1309/FK9D5WBA1UEPT5BB</pub-id><pub-id pub-id-type="pmid">16891202</pub-id></citation></ref>
<ref id="B52">
<label>52.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cerrone</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Neary</surname> <given-names>M</given-names></name> <name><surname>Weaver</surname> <given-names>C</given-names></name> <name><surname>Fedele</surname> <given-names>S</given-names></name> <name><surname>Day-Weber</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of Efavirenz 400 mg once daily coadministered with isoniazid and rifampicin in human immunodeficiency virus&#x02013;infected individuals</article-title>. <source>Clin Infect Dis.</source> (<year>2019</year>) <volume>68</volume>:<fpage>446</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1093/cid/ciy491</pub-id><pub-id pub-id-type="pmid">30084943</pub-id></citation></ref>
<ref id="B53">
<label>53.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aouri</surname> <given-names>M</given-names></name> <name><surname>Barcelo</surname> <given-names>C</given-names></name> <name><surname>Guidi</surname> <given-names>M</given-names></name> <name><surname>Rotger</surname> <given-names>M</given-names></name> <name><surname>Cavassini</surname> <given-names>M</given-names></name> <name><surname>Hizrel</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Population pharmacokinetics and pharmacogenetics analysis of rilpivirine in HIV-1-infected individuals</article-title>. <source>Antimicrob Agents Chemother.</source> (<year>2016</year>) <volume>61</volume>:<fpage>e00899</fpage>-<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.00899-16</pub-id><pub-id pub-id-type="pmid">27799217</pub-id></citation></ref>
<ref id="B54">
<label>54.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dailly</surname> <given-names>E</given-names></name> <name><surname>Allavena</surname> <given-names>C</given-names></name> <name><surname>Gr&#x000E9;goire</surname> <given-names>M</given-names></name> <name><surname>Reliquet</surname> <given-names>V</given-names></name> <name><surname>Bouqui&#x000E9;</surname> <given-names>R</given-names></name> <name><surname>Billaud</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Influence of nevirapine administration on the pharmacokinetics of dolutegravir in patients infected with HIV-1</article-title>. <source>J Antimicrob Chemother.</source> (<year>2015</year>) <volume>70</volume>:<fpage>3307</fpage>&#x02013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1093/jac/dkv245</pub-id><pub-id pub-id-type="pmid">26271944</pub-id></citation></ref>
<ref id="B55">
<label>55.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Villani</surname> <given-names>P</given-names></name> <name><surname>Regazzi</surname> <given-names>MB</given-names></name> <name><surname>Castelli</surname> <given-names>F</given-names></name> <name><surname>Viale</surname> <given-names>P</given-names></name> <name><surname>Torti</surname> <given-names>C</given-names></name> <name><surname>Seminari</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of efavirenz (EFV) alone and in combination therapy with nelfinavir (NFV) in HIV-1 infected patients</article-title>. <source>Br J Clin Pharmacol.</source> (<year>1999</year>) <volume>48</volume>:<fpage>712</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1046/j.1365-2125.1999.00071.x</pub-id><pub-id pub-id-type="pmid">10594473</pub-id></citation></ref>
<ref id="B56">
<label>56.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dickinson</surname> <given-names>L</given-names></name> <name><surname>Amin</surname> <given-names>J</given-names></name> <name><surname>Else</surname> <given-names>L</given-names></name> <name><surname>Boffito</surname> <given-names>M</given-names></name> <name><surname>Egan</surname> <given-names>D</given-names></name> <name><surname>Owen</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetic and pharmacodynamic comparison of once-daily efavirenz (400 mg vs</article-title>. 600 mg) in treatment-na&#x000EF;ve HIV-infected patients: results of the ENCORE1 study. <source>Clin Pharmacol Therapeut</source>. (<year>2015</year>) <volume>98</volume>:<fpage>406</fpage>&#x02013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1002/cpt.156</pub-id><pub-id pub-id-type="pmid">26044067</pub-id></citation></ref>
<ref id="B57">
<label>57.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Elliot</surname> <given-names>ER</given-names></name> <name><surname>Cerrone</surname> <given-names>M</given-names></name> <name><surname>Challenger</surname> <given-names>E</given-names></name> <name><surname>Else</surname> <given-names>L</given-names></name> <name><surname>Amara</surname> <given-names>A</given-names></name> <name><surname>Bisdomini</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of dolutegravir with and without darunavir/cobicistat in healthy volunteers</article-title>. <source>J Antimicrob Chemother.</source> (<year>2019</year>) <volume>74</volume>:<fpage>149</fpage>&#x02013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1093/jac/dky384</pub-id><pub-id pub-id-type="pmid">30778557</pub-id></citation></ref>
<ref id="B58">
<label>58.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Song</surname> <given-names>I</given-names></name> <name><surname>Borland</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>S</given-names></name> <name><surname>Patel</surname> <given-names>P</given-names></name> <name><surname>Wajima</surname> <given-names>T</given-names></name> <name><surname>Peppercorn</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Effect of food on the pharmacokinetics of the integrase inhibitor dolutegravir</article-title>. <source>Antimicrob Agents Chemother.</source> (<year>2012</year>) <volume>56</volume>:<fpage>1627</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.05739-11</pub-id><pub-id pub-id-type="pmid">22183173</pub-id></citation></ref>
<ref id="B59">
<label>59.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Crauwels</surname> <given-names>H</given-names></name> <name><surname>Vingerhoets</surname> <given-names>J</given-names></name> <name><surname>Ryan</surname> <given-names>R</given-names></name> <name><surname>Witek</surname> <given-names>J</given-names></name> <name><surname>Anderson</surname> <given-names>D</given-names></name></person-group>. <article-title>Pharmacokinetic parameters of once-daily rilpivirine following administration of efavirenz in healthy subjects</article-title>. <source>Antiviral Ther.</source> (<year>2011</year>) <volume>17</volume>:<fpage>439</fpage>&#x02013;<lpage>46</lpage>. <pub-id pub-id-type="doi">10.3851/IMP1959</pub-id><pub-id pub-id-type="pmid">22293086</pub-id></citation></ref>
<ref id="B60">
<label>60.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lamorde</surname> <given-names>M</given-names></name> <name><surname>Walimbwa</surname> <given-names>S</given-names></name> <name><surname>Byakika-Kibwika</surname> <given-names>P</given-names></name> <name><surname>Katwere</surname> <given-names>M</given-names></name> <name><surname>Mukisa</surname> <given-names>L</given-names></name> <name><surname>Sempa</surname> <given-names>JB</given-names></name> <etal/></person-group>. <article-title>Steady-state pharmacokinetics of rilpivirine under different meal conditions in HIV-1-infected Ugandan adults</article-title>. <source>J Antimicrob Chemother.</source> (<year>2015</year>) <volume>70</volume>:<fpage>1482</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1093/jac/dku575</pub-id><pub-id pub-id-type="pmid">25652748</pub-id></citation></ref>
<ref id="B61">
<label>61.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Olagunju</surname> <given-names>A</given-names></name> <name><surname>Bolaji</surname> <given-names>O</given-names></name> <name><surname>Amara</surname> <given-names>A</given-names></name> <name><surname>Waitt</surname> <given-names>C</given-names></name> <name><surname>Else</surname> <given-names>L</given-names></name> <name><surname>Adejuyigbe</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Breast milk pharmacokinetics of efavirenz and breastfed infants&#x00027; exposure in genetically defined subgroups of mother-infant pairs: an observational study</article-title>. <source>Clin Infect Dis.</source> (<year>2015</year>) <volume>61</volume>:<fpage>453</fpage>&#x02013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1093/cid/civ317</pub-id><pub-id pub-id-type="pmid">25882300</pub-id></citation></ref>
<ref id="B62">
<label>62.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cressey</surname> <given-names>TR</given-names></name> <name><surname>Stek</surname> <given-names>A</given-names></name> <name><surname>Capparelli</surname> <given-names>E</given-names></name> <name><surname>Bowonwatanuwong</surname> <given-names>C</given-names></name> <name><surname>Prommas</surname> <given-names>S</given-names></name> <name><surname>Sirivatanapa</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Efavirenz pharmacokinetics during the third trimester of pregnancy and postpartum</article-title>. <source>JAIDS J Acquired Immune Defic Syndr.</source> (<year>2012</year>) <volume>59</volume>:<fpage>245</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1097/QAI.0b013e31823ff052</pub-id><pub-id pub-id-type="pmid">22083071</pub-id></citation></ref>
<ref id="B63">
<label>63.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kreitchmann</surname> <given-names>R</given-names></name> <name><surname>Schalkwijk</surname> <given-names>S</given-names></name> <name><surname>Best</surname> <given-names>B</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Colbers</surname> <given-names>A</given-names></name> <name><surname>Stek</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Efavirenz pharmacokinetics during pregnancy and infant washout</article-title>. <source>Antiviral Ther.</source> (<year>2019</year>) <volume>24</volume>:<fpage>95</fpage>&#x02013;<lpage>103</lpage>. <pub-id pub-id-type="doi">10.3851/IMP3283</pub-id><pub-id pub-id-type="pmid">30530925</pub-id></citation></ref>
<ref id="B64">
<label>64.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bollen</surname> <given-names>P</given-names></name> <name><surname>Freriksen</surname> <given-names>J</given-names></name> <name><surname>Konopnicki</surname> <given-names>D</given-names></name> <name><surname>Weizs&#x000E4;cker</surname> <given-names>K</given-names></name> <name><surname>Hidalgo Tenorio</surname> <given-names>C</given-names></name> <name><surname>Molt&#x000F3;</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>The effect of pregnancy on the pharmacokinetics of total and unbound dolutegravir and its main metabolite in women living with human immunodeficiency virus</article-title>. <source>Clin Infect Dis.</source> (<year>2021</year>) <volume>72</volume>:<fpage>121</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1093/cid/ciaa006</pub-id><pub-id pub-id-type="pmid">32103260</pub-id></citation></ref>
<ref id="B65">
<label>65.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tran</surname> <given-names>AH</given-names></name> <name><surname>Best</surname> <given-names>BM</given-names></name> <name><surname>Stek</surname> <given-names>A</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>Capparelli</surname> <given-names>EV</given-names></name> <name><surname>Burchett</surname> <given-names>SK</given-names></name> <etal/></person-group>. <article-title>Pharmacokinetics of rilpivirine in HIV-infected pregnant women</article-title>. <source>JAIDS J Acquired Immune Defic Syndr.</source> (<year>2016</year>) <volume>72</volume>:<fpage>289</fpage>&#x02013;<lpage>96</lpage>. <pub-id pub-id-type="doi">10.1097/QAI.0000000000000968</pub-id><pub-id pub-id-type="pmid">26918544</pub-id></citation></ref>
<ref id="B66">
<label>66.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schalkwijk</surname> <given-names>S</given-names></name> <name><surname>Colbers</surname> <given-names>A</given-names></name> <name><surname>Konopnicki</surname> <given-names>D</given-names></name> <name><surname>Gingelmaier</surname> <given-names>A</given-names></name> <name><surname>Lambert</surname> <given-names>J</given-names></name> <name><surname>van der Ende</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Lowered rilpivirine exposure during the third trimester of pregnancy in human immunodeficiency virus type 1&#x02013;infected women</article-title>. <source>Clin Infect Dis.</source> (<year>2017</year>) <volume>65</volume>:<fpage>1335</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1093/cid/cix534</pub-id><pub-id pub-id-type="pmid">28595298</pub-id></citation></ref>
<ref id="B67">
<label>67.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clotet</surname> <given-names>B</given-names></name></person-group>. <article-title>Efavirenz: resistance and cross-resistance</article-title>. <source>Int J Clin Pract Suppl.</source> (<year>1999</year>) <volume>103</volume>:<fpage>21</fpage>&#x02013;<lpage>5</lpage>.</citation></ref>
<ref id="B68">
<label>68.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pacifici</surname> <given-names>GM</given-names></name> <name><surname>Nottoli</surname> <given-names>R</given-names></name></person-group>. <article-title>Placental transfer of drugs administered to the mother</article-title>. <source>Clin Pharmacokinet.</source> (<year>1995</year>) <volume>28</volume>:<fpage>235</fpage>&#x02013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.2165/00003088-199528030-00005</pub-id><pub-id pub-id-type="pmid">7758253</pub-id></citation></ref>
<ref id="B69">
<label>69.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ali Khan</surname> <given-names>A</given-names></name> <name><surname>Mudassir</surname> <given-names>J</given-names></name> <name><surname>Mohtar</surname> <given-names>N</given-names></name> <name><surname>Darwis</surname> <given-names>Y</given-names></name></person-group>. <article-title>Advanced drug delivery to the lymphatic system: lipid-based nanoformulations</article-title>. <source>Int J Nanomed.</source> (<year>2013</year>) <volume>8</volume>:<fpage>2733</fpage>&#x02013;<lpage>44</lpage>. <pub-id pub-id-type="doi">10.2147/IJN.S41521</pub-id><pub-id pub-id-type="pmid">23926431</pub-id></citation></ref>
<ref id="B70">
<label>70.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kashuba</surname> <given-names>ADM</given-names></name> <name><surname>Dyer</surname> <given-names>JR</given-names></name> <name><surname>Kramer</surname> <given-names>LM</given-names></name> <name><surname>Raasch</surname> <given-names>RH</given-names></name> <name><surname>Eron</surname> <given-names>JJ</given-names></name> <name><surname>Cohen</surname> <given-names>MS</given-names></name></person-group>. <article-title>Antiretroviral-drug concentrations in semen: implications for sexual transmission of human immunodeficiency virus type 1</article-title>. <source>Antimicrob Agents Chemother.</source> (<year>1999</year>) <volume>43</volume>:<fpage>1817</fpage>&#x02013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1128/AAC.43.8.1817</pub-id><pub-id pub-id-type="pmid">10428898</pub-id></citation></ref>
<ref id="B71">
<label>71.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Freriksen</surname> <given-names>JJM</given-names></name> <name><surname>Schalkwijk</surname> <given-names>S</given-names></name> <name><surname>Colbers</surname> <given-names>AP</given-names></name> <name><surname>Abduljalil</surname> <given-names>K</given-names></name> <name><surname>Russel</surname> <given-names>FGM</given-names></name> <name><surname>Burger</surname> <given-names>DM</given-names></name> <etal/></person-group>. <article-title>Assessment of maternal and fetal dolutegravir exposure by integrating <italic>ex vivo</italic> placental perfusion data and physiologically-based pharmacokinetic modeling</article-title>. <source>Clin Pharmacol Therapeut.</source> (<year>2020</year>) <volume>107</volume>:<fpage>1352</fpage>&#x02013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1002/cpt.1748</pub-id><pub-id pub-id-type="pmid">31868223</pub-id></citation></ref>
<ref id="B72">
<label>72.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>XI</given-names></name> <name><surname>Momper</surname> <given-names>JD</given-names></name> <name><surname>Rakhmanina</surname> <given-names>NY</given-names></name> <name><surname>Green</surname> <given-names>DJ</given-names></name> <name><surname>Burckart</surname> <given-names>GJ</given-names></name> <name><surname>Cressey</surname> <given-names>TR</given-names></name> <etal/></person-group>. <article-title>Prediction of maternal and fetal pharmacokinetics of dolutegravir and raltegravir using physiologically based pharmacokinetic modeling</article-title>. <source>Clin Pharmacokinet.</source> (<year>2020</year>) <volume>59</volume>:<fpage>1433</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1007/s40262-020-00897-9</pub-id><pub-id pub-id-type="pmid">32451908</pub-id></citation></ref>
</ref-list>
</back>
</article>