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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">868723</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.868723</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>
<italic>Plasmodium falciparum</italic> Drug Resistance Genes <italic>pfmdr1</italic> and <italic>pfcrt In Vivo</italic> Co-Expression During Artemether-Lumefantrine Therapy</article-title>
<alt-title alt-title-type="left-running-head">Silva et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<italic>P. falciparum</italic> <italic>pfmdr1</italic>/<italic>pfcrt</italic> Co-Expression <italic>In Vivo</italic>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Silva</surname>
<given-names>M.</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="https://loop.frontiersin.org/people/1664219/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Malmberg</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/811842/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Otienoburu</surname>
<given-names>S. D.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1735369/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bj&#xf6;rkman</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1079712/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ngasala</surname>
<given-names>B.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/929409/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#xe5;rtensson</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gil</surname>
<given-names>J. P.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1271576/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Veiga</surname>
<given-names>M. I.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1501639/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Life and Health Sciences Research Institute (ICVS)</institution>, <institution>School of Medicine</institution>, <institution>University of Minho</institution>, <addr-line>Braga</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>ICVS/3B&#x2019;s&#x2013;PT Government Associate Laboratory</institution>, <addr-line>Braga</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>SLU Global Bioinformatics Centre</institution>, <institution>Department of Animal Breeding and Genetics</institution>, <institution>Swedish University of Agricultural Sciences</institution>, <addr-line>Uppsala</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Section of Virology</institution>, <institution>Department of Biomedical Sciences and Veterinary Public Health</institution>, <institution>Swedish University of Agricultural Sciences</institution>, <addr-line>Uppsala</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>College of STEM</institution>, <institution>Johnson C. Smith University</institution>, <addr-line>Charlotte</addr-line>, <addr-line>NC</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Microbiology</institution>, <institution>Tumor and Cell Biology</institution>, <institution>Karolinska Institutet</institution>, <addr-line>Stockholm</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Muhimbili University of Health and Allied Sciences</institution>, <addr-line>Dar Es Salaam</addr-line>, <country>Tanzania</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Women&#x2019;s and Children&#x2019;s Health</institution>, <institution>International Maternal and Child Health (IMCH)</institution>, <institution>Uppsala University</institution>, <addr-line>Uppsala</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Center for Biodiversity</institution>, <institution>Functional &#x26; Integrative Genomics</institution>, <institution>Faculdade de Ci&#xea;ncias</institution>, <institution>Universidade de Lisboa</institution>, <addr-line>Lisboa</addr-line>, <country>Portugal</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Global Health and Tropical Medicine</institution>, <institution>Institute of Hygiene and Tropical Medicine</institution>, <institution>Nova University of Lisbon</institution>, <addr-line>Lisbon</addr-line>, <country>Portugal</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1157173/overview">Rafael V. C. Guido</ext-link>, University of S&#xe3;o Paulo, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/391779/overview">Daniel Youssef Bargieri</ext-link>, University of S&#xe3;o Paulo, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1193778/overview">Gisely Melo</ext-link>, Funda&#xe7;&#xe3;o de Medicina Tropical Doutor Heitor Vieira Dourado, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: J. P. Gil, <email>jose.pedro.gil@ki.se</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Experimental Pharmacology and Drug Discovery, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>868723</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Silva, Malmberg, Otienoburu, Bj&#xf6;rkman, Ngasala, M&#xe5;rtensson, Gil and Veiga.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Silva, Malmberg, Otienoburu, Bj&#xf6;rkman, Ngasala, M&#xe5;rtensson, Gil and Veiga</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>
<bold>Background:</bold> Artemisinin-based combination therapies (ACTs) are the global mainstay treatment of uncomplicated <italic>Plasmodium falciparum</italic> infections. <italic>Pf</italic>MDR1 and <italic>Pf</italic>CRT are two transmembrane transporters, associated with sensitivity to several antimalarials, found in the parasite food vacuole. Herein, we explore if their relatedness extends to overlapping patterns of gene transcriptional activity before and during ACT administration.</p>
<p>
<bold>Methods:</bold> In a clinical trial performed in Tanzania, we explored the <italic>pfmdr1</italic> and <italic>pfcrt</italic> transcription levels from 48 patients with uncomplicated <italic>P. falciparum</italic> malaria infections who underwent treatment with artemether-lumefantrine (AL). Samples analyzed were collected before treatment initiation and during the first 24&#xa0;h of treatment. The frequency of <italic>Pf</italic>MDR1 N86Y and <italic>Pf</italic>CRT K76T was determined through PCR-RFLP or direct amplicon sequencing. Gene expression was analyzed by real-time quantitative PCR<italic>.</italic>
</p>
<p>
<bold>Results:</bold> A wide range of pre-treatment expression levels was observed for both genes, approximately 10-fold for <italic>pfcrt</italic> and 50-fold for <italic>pfmdr1.</italic> In addition, a significant positive correlation demonstrates <italic>pfmdr1</italic> and <italic>pfcrt</italic> co-expression. After AL treatment initiation, <italic>pfmdr1</italic> and <italic>pfcrt</italic> maintained the positive co-expression correlation, with mild downregulation throughout the 24&#xa0;h post-treatment. Additionally, a trend was observed for <italic>Pf</italic>MDR1 N86 alleles and higher expression before treatment initiation.</p>
<p>
<bold>Conclusion:</bold> <italic>pfmdr1</italic> and <italic>pfcrt</italic> showed significant co-expression patterns <italic>in vivo</italic>, which were generally maintained during ACT treatment. This observation points to relevant related roles in the normal parasite physiology, which seem essential to be maintained when the parasite is exposed to drug stress. In addition, keeping the simultaneous expression of both transporters might be advantageous for responding to the drug action.</p>
</abstract>
<kwd-group>
<kwd>malaria</kwd>
<kwd>mRNA</kwd>
<kwd>
<italic>in vivo</italic>
</kwd>
<kwd>
<italic>P. falciparum</italic>
</kwd>
<kwd>artemether-lumefantrine</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>
<italic>Plasmodium falciparum</italic> malaria is responsible for nearly half a million deaths every year, despite the recent worldwide reduction in the incidence of the disease. Worryingly, the trend of decreasing malaria mortality has stagnated since 2015, followed recently by a steep increase due to the impact of the Covid-19 pandemic (<xref ref-type="bibr" rid="B28">WHO, 2021</xref>). This later tendency highlights the necessity to develop new strategies to tackle the disease, which in turn requires new valuable knowledge on parasite biology.</p>
<p>
<italic>Plasmodium falciparum</italic> is notorious for its high capacity to develop drug resistance. Since the first reports of quinine resistance, more than 100&#xa0;years ago (<xref ref-type="bibr" rid="B42">Rodrigues Coura, 1987</xref>), this parasite has demonstrated the ability to circumvent the action of essentially every antimalarial treatment deployed to a significant scale. Artemisinin combination therapies (ACTs) were introduced to curb the phenomenon of drug resistance, being the mainstay in uncomplicated malaria therapy since their global adoption during the first decade of the 21st century. Nevertheless, even for these generally highly efficacious therapies, reports suggest a progressive trend of reduction in efficacy. This has been first recognized for artesunate-mefloquine (<xref ref-type="bibr" rid="B40">Price et al., 2004</xref>) and artesunate-amodiaquine (<xref ref-type="bibr" rid="B21">Holmgren et al., 2006</xref>; <xref ref-type="bibr" rid="B23">Humphreys et al., 2007</xref>). In addition, the recent failure of dihydroartemisinin-piperaquine (DHA-PPQ) therapy in Cambodia just a few years after its formal implementation in the country, showcases the remarkable resilience of this parasite to drug pressure (<xref ref-type="bibr" rid="B3">Amaratunga et al., 2016</xref>; <xref ref-type="bibr" rid="B4">Amato et al., 2017</xref>; <xref ref-type="bibr" rid="B20">Hamilton et al., 2019</xref>). Nevertheless, and until recently, the globally most used ACT, artemether-lumefantrine (AL) has shown remarkable resilience.</p>
<p>In Africa, the global malaria epicenter, AL is the key ACT, present in essentially every national malaria program of the continent and represents the backbone of malaria clinical management. Accordingly, recent reports of decreased AL efficacy have been met with considerable concern (<xref ref-type="bibr" rid="B39">Plucinski et al., 2015</xref>; <xref ref-type="bibr" rid="B38">Plucinski et al., 2017</xref>).</p>
<p>The main culprit of artemisinin reduced susceptibility, clinically characterized as an infection with a clearance half-time of &#x3e;5&#xa0;h (<xref ref-type="bibr" rid="B14">Dondorp et al., 2009</xref>), has been identified as the <italic>P. falciparum</italic> Kelch 13 (<italic>Pf</italic>K13) (<xref ref-type="bibr" rid="B52">Straimer et al., 2015</xref>), with other players possibly augmenting the susceptibility (<xref ref-type="bibr" rid="B57">Veiga et al., 2014</xref>). However, therapy failure has been more likely to result from failure of the long half-life partner drug. As so, it is of importance to monitor and find novel markers of partner drug resistance. At present, most partner drugs are from the quinoline family and while a complete understanding of the molecular basis of resistance is still not clarified, two transporters, <italic>P. falciparum</italic> multidrug resistance protein 1 (<italic>PfMDR1</italic>) and <italic>P. falciparum</italic> chloroquine resistance transporter (<italic>PfCRT</italic>), have been shown to be pivotal in the parasite response to ACT partner drugs.</p>
<p>
<italic>Pf</italic>MDR1 (also referred to as the P-glycoprotein homologue, Pgh) is a ca. 1419 amino acid protein comprising 12 trans-membrane domains, and a member of the ATP-binding cassette (ABC) superfamily (<xref ref-type="bibr" rid="B18">Foote et al., 1989</xref>). <italic>Pf</italic>MDR1 is oriented toward the digestive vacuole (DV) lumen and works as an importer of solutes toward this organelle, including antimalarials (<xref ref-type="bibr" rid="B43">Rohrbach et al., 2006</xref>). <italic>Pf</italic>MDR1 single nucleotide polymorphisms (SNPs), and of particular importance, the N86Y allele, have been associated with <italic>in vivo</italic> and <italic>in vitro</italic> sensitivity to a range of quinoline antimalarials (e.g., mefloquine, lumefantrine, amodiaquine) and artemisinin derivatives (<xref ref-type="bibr" rid="B53">Veiga et al., 2016</xref>; <xref ref-type="bibr" rid="B19">Gil and Krishna, 2017</xref>).</p>
<p>
<italic>Pf</italic>CRT was identified as the main determinant of chloroquine resistance (<xref ref-type="bibr" rid="B17">Fidock et al., 2000</xref>). <italic>Pf</italic>CRT is a 424 amino acid protein with 10 transmembrane domains, a member of the drug-metabolite transport superfamily (<xref ref-type="bibr" rid="B33">Martin and Kirk, 2004</xref>), and localizes in the DV membrane of the parasite being able to pump antimalarial drugs out of this organelle (<xref ref-type="bibr" rid="B34">Martin et al., 2009</xref>). The <italic>Pf</italic>CRT physiological function has been proposed to be related to the export of host-derived peptides to the cytoplasm (<xref ref-type="bibr" rid="B44">Shafik et al., 2020</xref>). The critical chloroquine resistance mutation K76T and other polymorphisms have been documented to influence parasite sensitivity to quinolines (<xref ref-type="bibr" rid="B47">Sidhu et al., 2002</xref>; <xref ref-type="bibr" rid="B25">Johnson et al., 2004</xref>; <xref ref-type="bibr" rid="B50">Sisowath et al., 2009</xref>; <xref ref-type="bibr" rid="B2">Agrawal et al., 2017</xref>) and artemisinin compounds (<xref ref-type="bibr" rid="B47">Sidhu et al., 2002</xref>; <xref ref-type="bibr" rid="B13">Cooper et al., 2005</xref>).</p>
<p>Increased gene expression has been associated with drug resistance in <italic>Plasmodium falciparum</italic> by the causal link of augmented protein levels and treatment outcome. This is evidenced by <italic>pfmdr1</italic> duplications leading to mefloquine and lumefantrine decreased efficacy (<xref ref-type="bibr" rid="B41">Price et al., 2006</xref>; <xref ref-type="bibr" rid="B10">Calcada et al., 2020</xref>), and through the association of <italic>plasmepsin 2</italic> and <italic>3</italic> amplifications with the collapse of piperaquine containing ACTs in Southeast Asia (<xref ref-type="bibr" rid="B48">Silva et al., 2020</xref>). From this background, it is conceivable that changes in transcription activity can also play a role in therapy response. Accordingly, we have previously shown that the levels of <italic>pfk13</italic> expression negatively correlate with <italic>P. falciparum</italic> infection clearance time (<xref ref-type="bibr" rid="B49">Silva et al., 2019</xref>) upon AL treatment. In this study, we sought to evaluate the <italic>in vivo</italic> gene expression of the two most-known modulators of drug resistance, <italic>pfcrt</italic> and <italic>pfmdr1</italic>, during AL treatment.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Clinical Material&#x2014;Study Site and Sample Collection</title>
<p>The trial was conducted at Fukayosi Primary Health Care Centre, Bagamoyo District, Tanzania (<xref ref-type="bibr" rid="B11">Carlsson et al., 2011</xref>) (Clinical Trials (United States), identifier NCT00336375) between March and May of 2006. This was when AL had not yet been nationally implemented in the country, allowing the analysis of an ACT naive population still not genetically or epigenetically modulated by the selective pressure of these drugs.</p>
<p>Briefly, 50 patients between 1 and 10&#xa0;years old, 31 girls and 19 boys, were included with microscopically confirmed acute uncomplicated <italic>P. falciparum</italic> malaria defined as a 2 &#x2013;200 <italic>P. falciparum</italic>/&#xb5;L of blood, an axillary temperature of &#x2265;37.5&#xb0;C, and whose parent or legal guardian gave their written informed consent. Exclusion criteria included anemia (hemoglobin &#x3c;70&#xa0;g/L), significant malnutrition, signs of severe malaria, or any other danger signs.</p>
<p>All patients were hospitalized and followed up for 72&#xa0;h during the AL treatment course. Six weight-adjusted doses of Coartem&#xae; (20&#xa0;mg of artemether plus 120&#xa0;mg of lumefantrine, Novartis AG, Basel) were administered under supervision at 0, 8, 24, 36, 48, and 60&#xa0;h. Patients weighing 5&#x2013;14&#xa0;kg received one tablet/dose, patients weighing 15&#x2013;24&#xa0;kg received two tablets/dose, and patients weighing 25&#x2013;34&#xa0;kg received three tablets/dose. A clinical assessment was performed at 0, 2, 4, 8, 16, 24, 36, 48, 60, and 72&#xa0;h. Parasite densities were determined in Giemsa-stained and parasite clearance (PC) was evaluated as a proportion of patients with positive microscopy (<xref ref-type="bibr" rid="B11">Carlsson et al., 2011</xref>). Venous blood samples (1&#xa0;ml) were obtained at all clinical assessment points. The total amount of blood harvested for each patient during the study period was inside the general recommended parameters of &#x3c;5% of the patient&#x2019;s blood volume (<xref ref-type="bibr" rid="B22">Howie, 2011</xref>). As expected for uncomplicated malaria patients, the majority of the circulating parasites were in the ring and early trophozoite forms. For molecular analysis, 500&#xa0;&#x3bc;L of collected blood was mixed with 500&#xa0;&#x3bc;L of 2x Nucleic Acid Purification Lysis Solution (Applied Biosystems, Fresno, CA, United States) and stored under liquid nitrogen conditions. Upon arrival to the laboratory, the materials were archived at -80&#xb0;C until RNA extraction.</p>
<p>The study was compliant with the ethical principles of the Declaration of Helsinki and ethically cleared by the National Institute for Medical Research, Dar-es-Salam, Tanzania, and the Regional Ethics Committee, Stockholm, Sweden, for the downstream molecular analysis of bio-samples.</p>
</sec>
<sec id="s2-2">
<title>RNA Extraction and mRNA Analysis</title>
<p>RNA was extracted using an ABIPRISM H6100 Nucleic Acid PrepStation (Applied Biosystems, Fresno, CA, United States), with the total RNA quality and quantity measured with an Agilent RNA 6000 Pico total RNA assay in an Agilent 2100 Bioanalyser&#x2122; (Agilent, Santa Clara, CA, United States). cDNA synthesis was performed with a High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Fresno, CA, United States) for the first six time points (T0, T2, T4, T8, T16, and T24&#xa0;h). Two out of 50 patient sample sets were excluded from this study due to low total RNA quality.</p>
<p>Real-time analyses of the <italic>pfcrt</italic> and <italic>pfmdr1</italic> transcripts were performed with an ABIPRISM&#xae; 7900HT Sequence Detection System (Applied Biosystems, Fresno, CA, United States). TaqMan&#xae; probes and primer sequences for target genes, <italic>pfmdr1</italic> (PF3D7_0523000), <italic>pfcrt</italic> (PF3D7_0709000), and the endogenous control gene seryl-tRNA synthetase (PF3D7_0717700) that was shown to be transcribed stably throughout different intraerythrocytic stages (<xref ref-type="bibr" rid="B8">Bozdech et al., 2003</xref>; <xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>; <xref ref-type="bibr" rid="B31">Magallon-Tejada et al., 2016</xref>; <xref ref-type="bibr" rid="B36">Ngwa et al., 2017</xref>). Oligonucleotide primers and conditions are well established, having been previously developed for <italic>in vitro</italic> gene expression investigations with culture adapted clones (<xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>), <italic>pfmdr1</italic>, (6-FAM, TAMRA probe 5&#x2032;-GTA&#x200b;TTT&#x200b;AAT&#x200b;AAC&#x200b;CCT&#x200b;GAT&#x200b;CGA&#x200b;AAT&#x200b;GGA&#x200b;ACC&#x200b;TTT&#x200b;G-3&#x2032;, and primers 5&#x2032;-TGC&#x200b;ATC&#x200b;TAT&#x200b;AAA&#x200b;ACG&#x200b;ATC&#x200b;AGA&#x200b;CAA&#x200b;A-3&#x2032; and 5&#x2032;- TCG&#x200b;TGT&#x200b;GTT&#x200b;CCA&#x200b;TGT&#x200b;GAC&#x200b;TGT-3&#x2032;); <italic>pfcrt</italic>, (6-FAM, MGB probe 5&#x2032;-CTA&#x200b;TAT&#x200b;CCA&#x200b;TGT&#x200b;TAG&#x200b;ATG&#x200b;CC-3&#x2032;, and primers 5&#x2032;-CGA&#x200b;CAC&#x200b;CGA&#x200b;AGC&#x200b;TTT&#x200b;AAT&#x200b;TTA&#x200b;CAA&#x200b;T-3&#x2032; and 5&#x2032;-AAG&#x200b;ACC&#x200b;TAT&#x200b;GAA&#x200b;GGC&#x200b;CAA&#x200b;AAT&#x200b;GAC-3&#x2032;); seryl-tRNA synthetase (VIC, TAMRA Probe 5&#x2032;-TGA&#x200b;AAC&#x200b;TAT&#x200b;AGA&#x200b;ATC&#x200b;AAA&#x200b;AAG&#x200b;GTT&#x200b;ACC&#x200b;ACT&#x200b;CAA&#x200b;ATA&#x200b;CGC&#x200b;T-3&#x2032; and primers 5&#x2032;-CCT&#x200b;CAG&#x200b;AAC&#x200b;AAC&#x200b;CAT&#x200b;TAT&#x200b;GTG&#x200b;CTT-3&#x2032; and 5&#x2032;-TGT&#x200b;GCC&#x200b;CCT&#x200b;GCT&#x200b;TCT&#x200b;TTT&#x200b;CTA-3&#x2032;). <xref ref-type="sec" rid="s11">Supplementary Figure S1</xref> details the probes&#x2019; efficiency and further details can be resourced from the original report (<xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>). Amplification reactions were done in triplicate in 384-well plates with 10&#xa0;&#xb5;L total volume reactions containing TaqMan&#xae; Gene Expression Mastermix (Applied Biosystems, Fresno, CA, United States), 300&#xa0;nM of each forward and reverse primer, 100&#xa0;nM of TaqMan&#xae; probe, and 4&#xa0;&#xb5;L of cDNA. The thermal cycle program was 50&#xb0;C for 2&#xa0;min, 95&#xb0;C for 10&#xa0;min, and forty cycles of 95&#xb0;C for 15&#xa0;s and 60&#xb0;C for 1&#xa0;min.</p>
</sec>
<sec id="s2-3">
<title>
<italic>pfcrt</italic> and <italic>pfmdr1</italic> Molecular Genotyping</title>
<p>
<italic>Pf</italic>CRT K76T and <italic>Pf</italic>MDR1 N86Y, Y184F and D1246Y alleles were analyzed for all samples before treatment initiation. <italic>Pf</italic>CRT K76T and <italic>Pf</italic>MDR1 N86Y were further analyzed during the treatment period for the time points 2&#xa0;h (T2), 4&#xa0;h (T4), 8&#xa0;h (T8), 16&#xa0;h (T16), and 24&#xa0;h (T24) hours.</p>
<p>PfCRT K76T SNP was evaluated through published PCR-RFLP methods (<xref ref-type="bibr" rid="B54">Veiga et al., 2006</xref>). <italic>Pf</italic>MDR1 N86Y, Y184F, and D1246Y SNPs were analyzed through direct PCR amplicon sequencing, as previously described (<xref ref-type="bibr" rid="B32">Malmberg et al., 2013</xref>). The <italic>pfmdr1</italic> gene copy number was performed in all samples using housekeeping gene tubulin beta chain putative (PF3D7_1008700) with probes and primers, as described by <xref ref-type="bibr" rid="B40">Price et al. (2004</xref>). <italic>P. falciparum</italic> DNA from 3D7 and FCB reference strains were used as the calibrator and the positive control, respectively (known copy number variation). All reactions were performed in an ABI PRISMH 7000 Sequence Detection System (Applied Biosystems&#x2122;, Fresno, CA, United States).</p>
</sec>
<sec id="s2-4">
<title>Data Analysis</title>
<p>RealTime StatMiner&#xae; software (Integromics, <ext-link ext-link-type="uri" xlink:href="http://www.integromics.com/StatMiner">http://www.integromics.com/StatMiner</ext-link>) was used to obtain the &#x394;C<sub>t</sub> (target transporter gene C<sub>t</sub> values minus endogenous PF3D7_0717700 control gene C<sub>t</sub> values) for each patient. The amplification efficiency was used as the correction factor as previously defined (<xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>). Formula 2<sup>-&#x394;Ct</sup> was used to obtain the fold change expression pre-treatment (T0). For each patient, the <italic>pfmdr1</italic> and <italic>pfcrt</italic> transcript fold change relative expression was calculated by the 2<sup>-&#x394;&#x394;Ct</sup> method (<xref ref-type="bibr" rid="B30">Livak and Schmittgen, 2001</xref>), in which the &#x394;&#x394;C<sub>t</sub> was calculated using the &#x394;C<sub>t</sub> from T0 as the calibrator of the matching patient sample. The Shapiro&#x2013;Wilk test was used for assessing the data set normality and Spearman correlation applied to assess linear relations between <italic>pfmdr1</italic> and <italic>pfcrt</italic> expression variation throughout time.</p>
<p>Patients&#x2019; data and <italic>pfmdr1</italic> and <italic>pfcrt</italic> transcript expressions were stratified into two groups defined as containing the wild type or mutant allele for <italic>Pf</italic>MDR1 N86Y and <italic>Pf</italic>CRT K76T SNP (mixed infections excluded (<xref ref-type="table" rid="T1">Table 1</xref>). The Mann&#x2013;Whitney test was used on the patient data and <italic>pfmdr1</italic> and <italic>pfcrt</italic> relative expression data.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>
<italic>pfmdr1</italic> and <italic>pfcrt</italic> expression data.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">
</th>
<th colspan="4" align="center">PfMDR1</th>
<th colspan="4" align="center">PfCRT</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left"/>
<td align="center">
<bold>Total (N&#x3d;48)</bold>
</td>
<td align="center">
<bold>N86 (n&#x3d;10)&#x2a;</bold>
</td>
<td align="center">
<bold>Y86 (n&#x3d;25)&#x2a;</bold>
</td>
<td rowspan="2" align="center">
<bold>P value</bold>
</td>
<td align="center">
<bold>Total (N&#x3d;48)</bold>
</td>
<td align="center">
<bold>K76 (n&#x3d;23)&#x2a;</bold>
</td>
<td align="center">
<bold>T76 (n&#x3d;15)&#x2a;</bold>
</td>
<td rowspan="2" align="center">
<bold>P value</bold>
</td>
</tr>
<tr>
<td align="left"/>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
<td align="center">
<bold>Mean &#xb1; SD (min - max)</bold>
</td>
</tr>
<tr>
<td colspan="9" align="left">Expression (2&#x2013;&#x2206;Ct)</td>
</tr>
<tr>
<td align="left">0 h</td>
<td align="center">12.84 &#xb1; 11.53 (2.19 - 56.79)</td>
<td align="center">19.68 &#xb1; 17.43 (4.96 - 56.79)</td>
<td align="center">11.34 &#xb1; 10.20 (3.76-17.39)</td>
<td align="center">0.10</td>
<td align="center">4.71 &#xb1; 2.44 (1.45 - 13.80)</td>
<td align="center">4.92 &#xb1; 2.26 (3.64 - 6.92)</td>
<td align="center">3.85 &#xb1; 1.92 (1.45 - 5.83)</td>
<td align="center">0.55</td>
</tr>
<tr>
<td colspan="9" align="left">Relative expression (2&#x2013;&#x2206;&#x2206;Ct)</td>
</tr>
<tr>
<td align="left">2 h</td>
<td align="center">1.05 &#xb1; 0.72 (0.30 - 3.43)</td>
<td align="center">0.79 &#xb1; 0.29 (0.3 - 1.15)</td>
<td align="center">1.25 &#xb1; 0.90 (0.58 - 2.23)</td>
<td align="center">0.39</td>
<td align="center">0.90 &#xb1; 0.47 (0.28 - 2.91)</td>
<td align="center">0.80 &#xb1; 0.20 (0.6 - 1.05)</td>
<td align="center">1.10 &#xb1; 0.75 (0.28 - 2.91)</td>
<td align="center">0.89</td>
</tr>
<tr>
<td align="left">4 h</td>
<td align="center">0.96 &#xb1; 0.85 (0.18 - 3.62)</td>
<td align="center">0.55 &#xb1; 0.25 (0.18-1.01)</td>
<td align="center">1.14 &#xb1; 1.03 (0.55 - 2.02)</td>
<td align="center">0.08</td>
<td align="center">0.77 &#xb1; 0.32 (0.25 - 1.99)</td>
<td align="center">0.73 &#xb1; 0.18 (0.49 - 1.2)</td>
<td align="center">0.92 &#xb1; 0.47 (0.57 - 1.99)</td>
<td align="center">0.66</td>
</tr>
<tr>
<td align="left">8 h</td>
<td align="center">0.92 &#xb1; 1.00 (0.12 - 4.66)</td>
<td align="center">0.50 &#xb1; 0.28 (0.12-1.08)</td>
<td align="center">1.11 &#xb1; 1.18 (0.37 - 1.96)</td>
<td align="center">0.12</td>
<td align="center">0.63 &#xb1; 0.49 (0.09 - 2.80)</td>
<td align="center">0.54 &#xb1; 0.21 (0.37 - 0.79)</td>
<td align="center">0.83 &#xb1; 0.77 (0.39 - 2.8)</td>
<td align="center">0.44</td>
</tr>
<tr>
<td align="left">16 h</td>
<td align="center">0.76 &#xb1; 0.83 (0.09 - 3.65)</td>
<td align="center">0.37 &#xb1; 0.20 (0.11-0.77)</td>
<td align="center">0.90 &#xb1; 0.98 (0.28 - 1.23)</td>
<td align="center">0.06</td>
<td align="center">0.37 &#xb1; 0.32 (0.05 - 1.89)</td>
<td align="center">0.35 &#xb1; 0.17 (0.25 - 0.79)</td>
<td align="center">0.42 &#xb1; 0.47 (0.18 - 1.89)</td>
<td align="center">0.92</td>
</tr>
<tr>
<td align="left">24 h</td>
<td align="center">0.70 &#xb1; 0.79 (0.03 - 3.30)</td>
<td align="center">0.35 &#xb1; 0.20 (0.09-0.74)</td>
<td align="center">0.83 &#xb1; 0.91 (0.03-1.26)</td>
<td align="center">0.08</td>
<td align="center">0.37 &#xb1; 0.30 (0.06 - 2.01)</td>
<td align="center">0.34 &#xb1; 0.15 (0.13 - 0.52)</td>
<td align="center">0.37 &#xb1; 0.25 (0.15 - 0.99)</td>
<td align="center">0.77</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;Mixed infections excluded from statistical calculations.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline <italic>pfcrt</italic> and <italic>pfcrt</italic> mRNA Levels</title>
<p>
<italic>Pfmdr1</italic> and <italic>pfcrt</italic> transcript data obtained from 48 out of the 50 infections were analyzed at the six time points T0, T2, T4, T8, T16, and T24. Blood sampling at T0, T8, and T24 was done just before AL administration. A large range of mRNA baseline values (T0, pre-treatment) was observed for both genes. <italic>pfcrt</italic> transcripts span from 1.45 to 13.80-fold as compared with the internal control gene (PF3D7_0717700), whereas <italic>pfmdr1</italic> showed a larger window from 2.19 to 56.79-fold (<xref ref-type="table" rid="T1">Table 1</xref>). The most striking observation was the strong positive correlation of the large range of mRNA baseline values between <italic>pfcrt</italic> and <italic>pfmdr1</italic> (Spearman, R&#x3d;0.82) supporting the possibility of these genes being functionally associated with the normal physiology of the parasite (<xref ref-type="fig" rid="F1">Figure 1A</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<italic>pfmdr1</italic> and <italic>pfcrt</italic> expression in the infection before treatment with artemether-lumefantrine. <bold>(A)</bold> Correlation between the <italic>pfmdr1</italic> and <italic>pfcrt</italic> mRNA levels (Spearman correlation, R &#x3d; 0.85, <italic>p</italic> &#x3c; 0.0001). Expression fold change was calculated by the 2<sup>&#x2013;&#x2206;Ct</sup> method normalized with the housekeeping gene seryl-tRNA synthetase. <bold>(B)</bold> Mean &#xb1; SEM expression according to the <italic>Pf</italic>MDR1 N86Y and <italic>Pf</italic>CRT K76T SNP status. Statistical evaluations comparing allele variants were performed using the two-tailed Mann&#x2013;Whitney U-test. Mixed infections were excluded from the analysis.</p>
</caption>
<graphic xlink:href="fphar-13-868723-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Post-Artemether-Lumefantrine Treatment <italic>pfmdr1</italic> and <italic>pfcrt</italic> mRNA Levels</title>
<p>After AL treatment initiation, <italic>pfmdr1</italic> and <italic>pfcrt</italic> expressions were analyzed relative to the expression before treatment of the matching patient. An intra-infection positive correlation between <italic>pfcrt</italic> and <italic>pfmdr1</italic> responses was observed for all six monitored time points after treatment (<xref ref-type="fig" rid="F2">Figure 2A</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<italic>pfmdr1</italic> and <italic>pfcrt</italic> expression in patients&#x2019; post-treatment with artemether-lumefantrine. <bold>(A)</bold> Figure on the let: Correlation between the <italic>pfmdr1</italic> and <italic>pfcrt</italic> mRNA levels (Spearman correlation, T2: R &#x3d; 0.55, <italic>p</italic> &#x3c; 0.0001; T4: R &#x3d; 0.79, <italic>p</italic> &#x3c; 0.0001; T8: R &#x3d; 0.67, <italic>p</italic> &#x3c; 0.0001; T16: R &#x3d; 0.60, <italic>p</italic> &#x3c; 0.0001; and T24: R &#x3d; 0.61, <italic>p</italic> &#x3c; 0.0001). Post-treatment transcripts were measured from 2&#xa0;h up to 24&#xa0;h. The average expression fold change was calculated by the 2<sup>&#x2013;&#x2206;&#x2206;Ct</sup> method normalized with the housekeeping gene seryl-tRNA synthetase and calibrated with paired infection data before treatment initiation (T0). <bold>(B)</bold> Bar plot of <italic>pfmdr1</italic> and <italic>pfcrt</italic> allele relative expression to T0 of the 48 infections discriminating by allele and time point, data presented as mean &#xb1; SEM.</p>
</caption>
<graphic xlink:href="fphar-13-868723-g002.tif"/>
</fig>
<p>The most frequent individual occurrence for both genes was a decrease in the <italic>pfmdr1</italic> and <italic>pfcrt</italic> mRNA levels during the first 24&#xa0;h on treatment initiation. The <italic>pfmdr1</italic> relative expression decreased from 1.05 &#xb1; 0.72-fold (&#xb1;SD) in T2 to 0.70 &#xb1; 0.79-fold (&#xb1;SD) in T24, decreasing at all time points. The <italic>pfcrt</italic> relative expression decreased from 0.90 &#xb1; 0.42-fold (&#xb1;SD) in T2 to 0.37 &#xb1; 0.30-fold (&#xb1;SD) in T24, decreasing at all time points, except from T16 to T24 which remained constant. Of note, a subset of infections (17%, 8/48) showed a clear rise in <italic>pfmdr1</italic> mRNA levels during the treatment period (threshold &#x2265;1.5 fold).</p>
<p>All enrolled patients were tested for infections carrying the <italic>pfmdr1</italic> increased copy number, with no such events having been detected.</p>
</sec>
<sec id="s3-3">
<title>
<italic>Pf</italic>MDR1 and <italic>Pf</italic>CRT Alleles and mRNA Levels</title>
<p>The <italic>Pf</italic>MDR1 N86Y and <italic>Pf</italic>CRT K76T mutations are considered risk factors for AL treatment failure (<xref ref-type="bibr" rid="B51">Sisowath et al., 2005</xref>; <xref ref-type="bibr" rid="B50">Sisowath et al., 2009</xref>). A pertinent question is if these mutations are associated with allele-specific upregulation of the respective genes. Comparing the abundance of baseline transcripts, we observed a pattern for higher mRNA transcripts when parasites contained the wild-type allele (<xref ref-type="fig" rid="F1">Figure 1B</xref>), with <italic>Pf</italic>MDR1 N86 having a fold change of 19.7 &#xb1; 17.4 (&#xb1;SD) versus the Y86 11.3 &#xb1; 10.2 fold change and <italic>Pf</italic>CRT K76 having a fold change of 4.9 &#xb1; 0.5 <italic>vs</italic> the T76 3.8 &#xb1; 0.5 (<xref ref-type="table" rid="T1">Table 1</xref>). These patterns anyway did not reach statistical significance for both genes.</p>
<p>Concerning post-treatment expression levels, we did not detect significant differences between the <italic>Pf</italic>MDR1 N86 and Y86 or <italic>Pf</italic>CRT K76 and T76 alleles carrying parasites, at any time point (<xref ref-type="fig" rid="F2">Figure 2B</xref>; <xref ref-type="table" rid="T1">Table 1</xref>). The only observable trend was that the <italic>Pf</italic>MDR1 86Y allele had a less steep decrease of expression over the course of treatment from 1.25 &#xb1; 0.90-fold (&#xb1;SD) on T2 to 0.83 &#xb1; 0.91-fold (&#xb1;SD) on T24 compared with <italic>Pf</italic>MDR1 N86 allele, which decreased from 0.79 &#xb1; 0.29-fold (&#xb1;SD) on T2 to 0.35 &#xb1; 0.20-fold (&#xb1;SD) on T24.</p>
<p>The <italic>Pf</italic>CRT K76 and T76 alleles decreased in relative expression during the treatment from 0.80 &#xb1; 0.20-fold (&#xb1;SD) and 1.10 &#xb1; 0.75-fold (&#xb1;SD) on T0 to 0.34 &#xb1; 0.15-fold (&#xb1;SD) and 0.37 &#xb1; 0.25-fold (&#xb1;SD) on T24, respectively. T2 was the only time point at which a <italic>Pf</italic>CRT allele (T76) had an increase in the mean of relative expression compared with pre-treatment.</p>
<p>Parasite treatment response, measured by parasite clearance (PC) time did not differ between <italic>Pf</italic>MDR1 N86Y and <italic>Pf</italic>CRT K76T SNP distribution (<xref ref-type="table" rid="T2">Table 2</xref>). PC<sub>50</sub> for <italic>Pf</italic>MDR1 N86 was 6.48 &#xb1; 2.57&#xa0;h (&#xb1;SD) compared with 86Y of 6.09 &#xb1; 3.31&#xa0;h (&#xb1;SD). PC<sub>50</sub> for <italic>Pf</italic>CRT K76 was 5.67 &#xb1; 2.46&#xa0;h (&#xb1;SD) compared with 76T of 5.69 &#xb1; 3.63&#xa0;h (&#xb1;SD).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Characteristics of the studied population and differential PfMDR1 N86Y and PfCRT K76T SNP distribution.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">
</th>
<th align="center">Total (N&#x3d;48)</th>
<th align="center">PfMDR1 N86 (n&#x3d;10)&#x2a;</th>
<th align="center">PfMDR1 Y86 (n&#x3d;25)&#x2a;</th>
<th rowspan="2" align="center">P value</th>
<th align="center">PfCRT K76 (n&#x3d;23)&#x2a;</th>
<th align="center">PfCRT T76 (n&#x3d;15)&#x2a;</th>
<th rowspan="2" align="center">P value</th>
</tr>
<tr>
<th align="center">Mean &#xb1; SD (min - max)</th>
<th align="center">Mean &#xb1; SD</th>
<th align="center">Mean &#xb1; SD</th>
<th align="center">Mean &#xb1; SD</th>
<th align="center">Mean &#xb1; SD</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (months)</td>
<td align="center">49.88 &#xb1; 29.68 (12 - 119)</td>
<td align="center">45.00 &#xb1; 23.19</td>
<td align="center">50.52 &#xb1; 33.00</td>
<td align="center">0.89</td>
<td align="center">58.22 &#xb1; 32.54</td>
<td align="center">35.47 &#xb1; 22.97</td>
<td align="center">0.04</td>
</tr>
<tr>
<td align="left">Weight (kg)</td>
<td align="center">14.24 &#xb1; 5.46 (8 - 30)</td>
<td align="center">12.70 &#xb1; 3.34</td>
<td align="center">14.15 &#xb1; 6.12</td>
<td align="center">0.92</td>
<td align="center">16.12 &#xb1; 6.49</td>
<td align="center">11.53 &#xb1; 2.83</td>
<td align="center">0.03</td>
</tr>
<tr>
<td align="left">Parasitemia <sup>&#x23;</sup>
</td>
<td align="center">60.51 &#xb1; 51.30 (2.12 &#x2013; 200.4)</td>
<td align="center">79.14 &#xb1; 60.51</td>
<td align="center">65.04 &#xb1; 54.32</td>
<td align="center">0.66</td>
<td align="center">68.89 &#xb1; 58.25</td>
<td align="center">56.61 &#xb1; 51.87</td>
<td align="center">0.91</td>
</tr>
<tr>
<td align="left">Hemoglobin</td>
<td align="center">100.50 &#xb1; 16.88 (71 - 134)</td>
<td align="center">103.6 &#xb1; 19.75</td>
<td align="center">97.64 &#xb1; 14.34</td>
<td align="center">0.33</td>
<td align="center">103.90 &#xb1; 19.51</td>
<td align="center">91.87 &#xb1; 12.24</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="left">Temperature (&#xb0;C)</td>
<td align="center">37.91 &#xb1; 0.97 (36.20 - 40.80)</td>
<td align="center">38.51 &#xb1; 1.21</td>
<td align="center">37.70 &#xb1; 0.97</td>
<td align="center">0.06</td>
<td align="center">38.03 &#xb1; 1.14</td>
<td align="center">37.53 &#xb1; 0.57</td>
<td align="center">0.37</td>
</tr>
<tr>
<td align="left">Slope half-life</td>
<td align="center">2.49 &#xb1; 1.12 (0.54 - 5.21)</td>
<td align="center">2.36 &#xb1; 1.46</td>
<td align="center">2.64 &#xb1; 1.10</td>
<td align="center">0.48</td>
<td align="center">2.50 &#xb1; 1.13</td>
<td align="center">2.41 &#xb1; 1.34</td>
<td align="center">0.97</td>
</tr>
<tr>
<td align="left">PC50 (h)</td>
<td align="center">6.00 &#xb1; 3.13 (0.80 - 14.78)</td>
<td align="center">6.48 &#xb1; 2.57</td>
<td align="center">6.09 &#xb1; 3.31</td>
<td align="center">0.62</td>
<td align="center">5.67 &#xb1; 2.46</td>
<td align="center">5.69 &#xb1; 3.63</td>
<td align="center">0.94</td>
</tr>
<tr>
<td align="left">PC90 (h)</td>
<td align="center">11.60 &#xb1; 4.79 (2.07 - 21.80)</td>
<td align="center">11.95 &#xb1; 4.63</td>
<td align="center">11.87 &#xb1; 5.01</td>
<td align="center">0.87</td>
<td align="center">11.47 &#xb1; 4.06</td>
<td align="center">10.73 &#xb1; 6.03</td>
<td align="center">0.80</td>
</tr>
<tr>
<td align="left">PC95 (h)</td>
<td align="center">14.09 &#xb1; 5.68 (2.61 - 26.18)</td>
<td align="center">14.31 &#xb1; 5.91</td>
<td align="center">14.52 &#xb1; 5.84</td>
<td align="center">0.87</td>
<td align="center">13.96 &#xb1; 5.02</td>
<td align="center">13.13 &#xb1; 7.13</td>
<td align="center">0.87</td>
</tr>
<tr>
<td align="left">PC99 (h)</td>
<td align="center">19.87 &#xb1; 7.96 (3.86 - 37.84)</td>
<td align="center">19.79 &#xb1; 9.08</td>
<td align="center">20.65 &#xb1; 8.02</td>
<td align="center">0.58</td>
<td align="center">19.76 &#xb1; 7.44</td>
<td align="center">18.72 &#xb1; 9.91</td>
<td align="center">0.91</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;Mixed infections excluded from statistical calculations.</p>
</fn>
<fn>
<p>
<sup>&#x23;</sup>Pf/mm<sup>3</sup> of blood</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Protein levels associated with increased gene expression have been related to several drug resistant-phenotypes in <italic>P. falciparum</italic> (<xref ref-type="bibr" rid="B40">Price et al., 2004</xref>; <xref ref-type="bibr" rid="B46">Sidhu et al., 2006</xref>; <xref ref-type="bibr" rid="B45">Sharma et al., 2013</xref>; <xref ref-type="bibr" rid="B4">Amato et al., 2017</xref>; <xref ref-type="bibr" rid="B24">Inoue et al., 2018</xref>; <xref ref-type="bibr" rid="B10">Calcada et al., 2020</xref>).</p>
<p>
<italic>Pf</italic>MDR1 expression has been implicated in the resistance to multiple drugs, mostly because of an increased gene copy number. Of note, increased <italic>Pf</italic>MDR1 expression is associated with mefloquine resistance and can lead to the inefficacy of the artesunate-mefloquine combination (<xref ref-type="bibr" rid="B40">Price et al., 2004</xref>). Gene expression can modulate protein levels and is a potential mechanism to modulate drug response. There are very few studies assessing the patterns of <italic>P. falciparum</italic> gene expression on ACT in uncomplicated malaria patients. Of interest, albeit artemisinin resistance is mainly associated with decreased <italic>Pf</italic>K13 levels resultant of SNPs (<xref ref-type="bibr" rid="B7">Birnbaum et al., 2020</xref>), lower <italic>pfk13</italic> transcript levels <italic>in vivo</italic> have also been linked with longer parasite clearance times, along the course of AL treatment (<xref ref-type="bibr" rid="B49">Silva et al., 2019</xref>). In this work, we focused on two key players of parasite resistance against the long half-life quinoline partner drugs, the <italic>pfmdr1</italic> and <italic>pfcrt</italic>.</p>
<p>A large range of baseline expression levels was observed for both <italic>pfcrt</italic> and <italic>pfmdr1</italic>, of approximately 10 and 30-fold, respectively. For <italic>pfmdr1</italic>, these <italic>in vivo</italic> data are supportive of previous expression studies using clinical isolates, where a similar range was reported (<xref ref-type="bibr" rid="B29">Legrand et al., 2012</xref>). The reasons for these inter-infection differences are unclear. The possibility of a significant influence from the presence of other intra-erythrocytic stages should be relatively small, considering that it involved patients experiencing fever, a status known to drive parasite cycle synchronization (<xref ref-type="bibr" rid="B27">Kwiatkowski, 1989</xref>; <xref ref-type="bibr" rid="B15">Engelbrecht and Coetzer, 2013</xref>). Moreover, even if there would be an influence of later stages inter-stage, differences in expression <italic>in vitro</italic> are not in the same order of magnitude, compared with those observed in our study (<xref ref-type="bibr" rid="B59">Young et al., 2005</xref>; <xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>).</p>
<p>A central observation was the clear correlation between the expression of both <italic>pfcrt</italic> and <italic>pfmdr1</italic>. This was most evident before treatment initiation but extended itself to post AL drug exposure. These data support <italic>in vitro</italic> reports by <xref ref-type="bibr" rid="B1">Adjalley et al. (2015)</xref> with individual clones, which further linked these transporters inside a larger set of co-regulated <italic>loci</italic>. Our work shows that this is a regular event during infection, supporting a complementary role of these food vacuole-located transporters in the parasite regular physiology.</p>
<p>Albeit the majority of the studied parasites did not experience an induction on their <italic>pfmdr1</italic> and <italic>pfcrt</italic> genes, our work shows that such events are not apparently uncommon during infections (particularly <italic>pfmdr1</italic>) (<xref ref-type="fig" rid="F2">Figure 2</xref>). These observations raise the issue of how much &#x201c;hard-wired&#x201d; the parasite transcription is when considering clinically relevant <italic>in vivo</italic> situations and analyzing a sufficiently large sample. For most <italic>in vitro</italic> studies&#x2014;including our own (<xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>)&#x2014;drug exposure has not been reported to drive large transcriptomic changes. Large differences in the baseline gene expression between <italic>P. falciparum</italic> strains have been proposed to be slow and likely driven by epigenetic processes (<xref ref-type="bibr" rid="B6">Batugedara et al., 2017</xref>; <xref ref-type="bibr" rid="B5">Arama et al., 2018</xref>). Such processes have been, to a certain extent, showcased in the <italic>in vitro</italic> selection of blasticidin-resistant parasites, based on the epigenetic driven suppression of <italic>clag3</italic> gene expression (<xref ref-type="bibr" rid="B45">Sharma et al., 2013</xref>; <xref ref-type="bibr" rid="B12">Chan et al., 2020</xref>). From this perspective, it is possible that what we are observing <italic>in vivo</italic> are minor sub-populations already expressing <italic>pfmdr1</italic> and <italic>pfcrt</italic> at more than average levels that happen to be selected during drug treatment. Epigenetic-based mechanisms might co-exist with events of promoter-driven gene upregulation. As referred, increases of &#x3e;2-fold have been reported <italic>in vitro</italic> upon exposure to common antimalarials using clonal populations (<xref ref-type="bibr" rid="B56">Veiga et al., 2010</xref>).</p>
<p>The molecular basis of the observed <italic>pfmdr1/pfcrt</italic> co-expression is not known. Of note, both genes harbor common putative xenobiotic response DNA elements in their 5&#x2019; promoter regions (up to 5&#xa0;Kb upstream of the transcription initiation), especially nuclear receptor-recognition sequences (<xref ref-type="bibr" rid="B26">Johnson et al., 2008</xref>). Of interest for this discussion, a number of those are common for both <italic>pfcrt</italic> and <italic>pfmdr1,</italic> including BARBIE (barbiturate-inducible element) boxes, retinoic acid receptor (RAR) and retinoic acid receptor half-site (RXR) elements, and progesterone receptor-binding sites (PRE). It is conceivable that, similar to other eukaryotic systems (<xref ref-type="bibr" rid="B37">Penvose et al., 2019</xref>), some of these elements might be mechanistically associated with the observed co-regulation pattern between these two genes. In fact, artemisinin derivatives are known agonist ligands of the nuclear pregnane-X-receptor (PXR) and constitutive androstane receptor (CAR) in higher mammals, leading to an increased activity of targeted genes, through the interaction with regulatory sequences as previously mentioned (<xref ref-type="bibr" rid="B9">Burk et al., 2005</xref>; <xref ref-type="bibr" rid="B60">Zang et al., 2014</xref>). This includes genes coding for P-glycoprotein (Pgp)-type ABC transporters, evolutionary related to the parasite <italic>pfmdr1</italic> product. Moreover, investigations using luciferase expression constructs to probe <italic>pfmdr1</italic> promoter regions have shown these as significantly responsive (<xref ref-type="bibr" rid="B35">Myrick et al., 2003</xref>). Furthermore, when applying the classical ADME inducer phenobarbital, five- to sixfold increases in the <italic>Pf</italic>MDR1 protein content were also reported, albeit <italic>Pf</italic>CRT stayed non-responsive, suggesting no significant involvement in our observations of the BARBIE Box (<xref ref-type="bibr" rid="B26">Johnson et al., 2008</xref>). Moreover, it is conceivable that the opportunity for <italic>pfmdr1</italic> to be induced might be ruled by the epigenetic status of the proximal 5&#x2032; promoter, with favorable conditions only statistically happening in a fraction of the parasite population at any time point. Further studies will be required to investigate this possibility.</p>
<p>An increased copy number of N86 carrying <italic>Pf</italic>MDR1, which leads to significant increases in this gene transcript and associated protein, is a well-documented factor in the <italic>in vivo</italic> and <italic>in vitro</italic> parasite susceptibility to aminoalcohol quinolines and artemisinins (<xref ref-type="bibr" rid="B55">Veiga et al., 2011</xref>; <xref ref-type="bibr" rid="B10">Calcada et al., 2020</xref>; <xref ref-type="bibr" rid="B48">Silva et al., 2020</xref>). Linking this information with the known importance of the <italic>Pf</italic>MDR1 N86 allele modulating AL therapy in Africa (<xref ref-type="bibr" rid="B32">Malmberg et al., 2013</xref>; <xref ref-type="bibr" rid="B58">Venkatesan et al., 2014</xref>), we initially hypothesized that in a clinical setting, the carriers of this critical allele would tend to have significantly higher baseline levels of expression. Our results do not support this hypothesis, as N86 carrying parasites did not show a significant difference in <italic>pfmdr1</italic> expression compared with the Y86 ones. In fact, if we consider any trend, it is for a higher expression among the 86Y carriers. The consistently observed selection of 86N alleles during AL treatment is more likely to be associated with SNP-driven changes in the structure of the protein, as predicted from <italic>in silico</italic> studies (<xref ref-type="bibr" rid="B16">Ferreira et al., 2011</xref>) and not through a link with increased transcriptional activity.</p>
<p>A major limitation of the present study is the participant numbers, a factor related to the outstanding demands of these types of field studies. In addition, the nature of the study limited the availability of biological material for analysis, precluding the consistent use of multiple internal qPCR controls. However, the project&#x2019;s exploratory nature did not prevent us from providing new insights into <italic>in vivo</italic> gene expression of two key markers of antimalarial resistance.</p>
<p>In conclusion, this work represents, to our knowledge, the first detailed qPCR-based analysis of the parasite <italic>pfcrt</italic> and <italic>pfmdr1</italic> genes during an ACT clinical exposure. By challenging the general view of a rather inert parasite transcriptome, at least concerning the genes under focus, we highlight the need to link valuable <italic>in vitro</italic> data on the parasite drug response mechanisms to the <italic>in vivo</italic> therapy context.</p>
</sec>
</body>
<back>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Materials</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee, National Institute for Medical Research, Dar-es-Salam, Tanzania, and the Regional Ethics Committee, Stockholm, Sweden. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>SM participated in the analysis and interpretation of the data; MM produced genotyping data, OS performed the field work and study design; BA participated in the interpretation of the data, NB contributed to the field work and study design, MA contributed to the field work and study design, GJ participated in the study design and interpretation of the data, VMI participated in the laboratory analysis and interpretation of the data. All authors were involved in the writing of the manuscript.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work was funded by the Swedish Research Council Grant (ref. 2021-05666), Foundation for Science and Technology (FCT), Portugal&#x2014;project UIDB/50026/2020 and UIDP/50026/2020, fellowships SFRH/BD/129769/2017 and COVID/BD/151882/2021 to SM and contract 2020.03113.CEECIND to VMI. By the project NORTE-01-0145-FEDER-000039, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2022.868723/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.868723/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material>
<label>Supplementary Figure S1</label>
<caption>
<p>qPCR analysis of <italic>Plasmodium falciparum</italic> 3D7 reference strain using TaqManR probes. Standard curve analyses data for comparing amplification efficiency and linearity are tabulated.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image1.jpeg" id="SM1" mimetype="application/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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