<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.16367.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Prevalence of Molecular Markers of Resistance to Antimalarial Drugs Three Years After Perennial Malaria Chemoprevention in Sierra Leone</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Chen</surname>
                        <given-names>Haily</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes" equal-contrib="yes">
                    <name>
                        <surname>Owusu-Kyei</surname>
                        <given-names>Kwabena</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0006-3733-7936</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fombah</surname>
                        <given-names>Augustin E.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Williams</surname>
                        <given-names>Julian</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Garc&#x00ed;a-Fern&#x00e1;ndez</surname>
                        <given-names>Carla</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rovira-Vallbona</surname>
                        <given-names>Eduard</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
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                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bofill</surname>
                        <given-names>Andreu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Software</role>
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                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Quint&#x00f3;</surname>
                        <given-names>Lloren&#x00e7;</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9992-6951</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Figueroa-Romero</surname>
                        <given-names>Ant&#x00ed;a</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4682-1421</uri>
                    <xref ref-type="corresp" rid="c2">b</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mac-Abdul</surname>
                        <given-names>Falama</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Samai</surname>
                        <given-names>Mohamed</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mayor</surname>
                        <given-names>Alfredo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Men&#x00e9;ndez</surname>
                        <given-names>Clara</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2641-6907</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a6">6</xref>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>ISGlobal, Barcelona, Spain</aff>
                <aff id="a2">
                    <label>2</label>Facultat de Medicina i Ciencies de la Salut, Universitat de Barcelona, Barcelona, Spain</aff>
                <aff id="a3">
                    <label>3</label>Centro de Investigacion Biomedica en Red de Epidemiologia y Salud Publica, Madrid, Community of Madrid, Spain</aff>
                <aff id="a4">
                    <label>4</label>University of Sierra Leone College of Medicine and Allied Health Sciences, Freetown, Western Area, Sierra Leone</aff>
                <aff id="a5">
                    <label>5</label>Ministry of Health, Freetown, Sierra Leone</aff>
                <aff id="a6">
                    <label>6</label>Centro de Investiga&#x00e7;&#x00e3;o em Saude de Manhi&#x00e7;a, Manhi&#x00e7;a, Maputo Province, Mozambique</aff>
                <aff id="a7">
                    <label>7</label>Department of Physiological Sciences, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique</aff>
                <aff id="a8">
                    <label>8</label>Servicio de Salud Internacional, Hospital Cl&#x00ed;nic de Barcelona, Barcelona, Spain</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:kwabena.owusukyei@isglobal.org">kwabena.owusukyei@isglobal.org</email>
                </corresp>
                <corresp id="c2">
                    <label>b</label>
                    <email xlink:href="mailto:antia.figueroa@isglobal.org">antia.figueroa@isglobal.org</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>8</day>
                <month>10</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>81</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>27</day>
                    <month>9</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Chen H et al.</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/9-81/pdf"/>
            <related-article ext-link-type="doi" id="related-article-version-17769" related-article-type="preprint" xlink:href="10.12688/verixiv.1155.1"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Monitoring parasite resistance to antimalarial drugs is essential for detecting potential changes in drug efficacy. This study assessed the prevalence of molecular markers of resistance to sulfadoxine-pyrimethamine (SP), chloroquine, and artemisinin in Sierra Leone, where SP is used for intermittent preventive treatment in pregnancy (IPTp) and perennial malaria chemoprevention (PMC) in young children, while artemisinin is used to treat malaria episodes.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A cross-sectional survey was conducted between June and August 2021 in three districts of Sierra Leone. A total of 440 febrile children aged 2-5 years attending the health facilities were screened for 
                        <italic toggle="yes">P. falciparum</italic> malaria using a rapid diagnostic test, and 300 participants with positive RDT were enrolled. Capillary blood samples were collected as dried blood spots, analyzed using quantitative PCR to confirm 
                        <italic toggle="yes">P. falciparum,
</italic> and sequenced for resistance markers in 
                        <italic toggle="yes">pfdhfr, pfdhps, pfcrt, pfmdr1,
</italic> and 
                        <italic toggle="yes">pfK13.</italic>
                    </p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Of 298 blood samples, 237 (79.5%) were qPCR-positive and 230 samples were successfully genotyped. The 
                        <italic toggle="yes">pfdhfr</italic> triple mutant (N51I/C59R/S108N) was detected in 99.5% of samples (217/218), while 
                        <italic toggle="yes">pfdhps</italic> mutations A437G and K540E were detected in 92.1% (211/229) and 19.1% (42/220), respectively. The 
                        <italic toggle="yes">pfdhfr/dhps</italic> quintuple mutant (triple mutant + A437G/K540E) prevalence was 4.6% (7/151), and no sextuple mutants (quintuple + 
                        <italic toggle="yes">pfdhps</italic>-A581G) were observed. Chloroquine resistance-associated mutations in 
                        <italic toggle="yes">pfcrt</italic> (CVIET haplotype) were detected in 36.6% of samples, while 
                        <italic toggle="yes">pfmdr1</italic> mutations at codon 86, 184, 1042, and 1246 occurred in 2.3%, 71.7%, 0.9% and 1.8%, respectively. No validated 
                        <italic toggle="yes">pfK13</italic> markers of artemisinin resistance were detected.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>In this study, the sustained low prevalence of 
                        <italic toggle="yes">pfdhfr/dhps</italic> quintuple mutant justifies the continued use of SP- containing IPTp and PMC, as well as its expansion in the country into the second year of life with additional SP doses. Importantly, no validated 
                        <italic toggle="yes">pfK13</italic> markers were found supporting the use of artemisinin-based combination therapies in Sierra Leone.</p>
                </sec>
                <sec>
                    <title>Trial registration</title>
                    <p>Clinicaltrials.gov 
                        <uri xlink:href="https://clinicaltrials.gov/study/NCT04235816">NCT04235816</uri>. Registered on January 17, 2020</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>malaria</kwd>
                <kwd>chemoprevention</kwd>
                <kwd>resistance</kwd>
                <kwd>IPTi</kwd>
                <kwd>PMC</kwd>
                <kwd>U5</kwd>
                <kwd>sulfadoxine-pyrimethamine</kwd>
                <kwd>Sierra Leone</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Departament d&#x2019;Universitats i Recerca de la Generalitat de Catalunya</funding-source>
                </award-group>
                <award-group id="fund-2" xlink:href="https://doi.org/10.13039/100000865">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>OPP1196642</award-id>
                </award-group>
                <funding-statement>This work was financially supported by the Gates Foundation (OPP1196642 and INV-067310, A.M.), La Caixa Foundation and the Departament d&#x2019;Universitats i Recerca de la Generalitat de Catalunya (AGAUR; grant 2021 SGR 01517, A.M.).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec7" sec-type="intro">
            <title>Introduction</title>
            <p>Malaria accounted for an estimated 246 million cases and 569,000 deaths globally in 2023.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The African region contributed 95% of malaria cases and 96% of malaria-related deaths, with children under five years of age (U5) being disproportionately affected.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Effective treatment and prevention of 
                <italic toggle="yes">Plasmodium falciparum</italic> infections with antimalarial drugs are critical for malaria control and elimination. To treat 
                <italic toggle="yes">P. falciparum</italic> malaria, the WHO recommends six artemisinin-based combination therapies (ACTs): artemether-lumefantrine (AL), artesunate-amodiaquine (ASAQ), artesunate-mefloquine (ASMQ), dihydroartemisinin-piperaquine (DP), artesunate-sulfadoxine/pyrimethamine (ASSP), and artesunate-pyronaridine (AP).
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>Chemoprevention is a key strategy for malaria control in areas with stable transmission. The WHO recommends three chemoprevention approaches involving sulfadoxine-pyrimethamine (SP) administered at curative doses, irrespective of infection status: intermittent preventive treatment in pregnancy (IPTp), seasonal malaria chemoprevention (SMC), and intermittent preventive treatment in infants (IPTi), now referred to as Perennial Malaria Chemoprevention (PMC).
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> SP remains the preferred drug for IPTp, PMC, and SMC (the latter co-packaged with amodiaquine) due to its safety, tolerability, and cost-effectiveness in reducing malaria-related morbidity and neonatal mortality.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Experiences of SP resistance in Southeast Asia regularly raised concerns about its use for malaria prevention in Africa.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Pyrimethamine and other antifolates target 
                <italic toggle="yes">P. falciparum</italic> dihydrofolate reductase (DHFR), while sulfadoxine and other sulfonamides act on dihydropteroate synthase (DHPS). Resistance arises from single nucleotide polymorphisms (SNPs) in the 
                <italic toggle="yes">dhfr</italic> and 
                <italic toggle="yes">dhps</italic> genes. Mutations in 
                <italic toggle="yes">dhfr</italic> at codons 51, 59, 108, and 164 confer resistance to pyrimethamine, while SNPs in 
                <italic toggle="yes">dhps</italic> at codons 437, 540, 581, and 613 drive resistance to sulfadoxine.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> These mutations typically accumulate stepwise, leading to stronger drug resistance and the 
                <italic toggle="yes">dhfr/dhps</italic> quintuple mutant (51I, 59R, 108N + 437G, 540E) has been associated with SP treatment failure.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> On the other hand, a pooled study suggested that in areas where the sextuple mutant (quintuple + 
                <italic toggle="yes">dhps</italic> 581G) is present, the effectiveness of IPTp with SP may decline when the prevalence of this mutation exceeds 10%.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
            </p>
            <p>Currently, validated resistance markers for other antimalarial drugs include some single nucleotide polymorphisms (SNPs) in the 
                <italic toggle="yes">kelch 13</italic> gene, providing partial resistance to artemisinin,
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> and the K76T in the 
                <italic toggle="yes">pfcrt</italic> gene (
                <italic toggle="yes">P. falciparum</italic> chloroquine-CQ- resistance transporter) regarding chloroquine.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>In Sierra Leone, malaria is endemic with perennial transmission and seasonal peaks occurring from May to October. Over 90% of cases are caused by 
                <italic toggle="yes">P. falciparum</italic>, with pregnant women and U5 being the most vulnerable to the infection.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Malaria prevalence in U5 measured by rapid diagnostic tests (RDTs), declined from 40% in 2016 to 22% in 2021.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Malaria-attributed mortality has declined significantly since 2000 in Sierra Leone, driven by free diagnostic testing, widespread deployment of insecticide-treated bed nets, and malaria chemoprevention programs. Nationwide IPTp has been implemented in antenatal clinics since 2014 and PMC has been integrated into the Expanded Program on Immunization (EPI) alongside immunization contacts at 10 weeks, 14 weeks, and 9 months, since 2018. Chloroquine, introduced as the first-line treatment for uncomplicated malaria in the 1940s, was replaced in 2004 with artemether-lumefantrine.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>The main objective of this study is to report on the prevalence of molecular markers associated with SP resistance in Sierra Leone seven and three years after the nationwide implementation of IPTp and PMC, respectively. As a secondary objective, we also assessed the prevalence of molecular markers associated with resistance to chloroquine and artemisinin.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
        </sec>
        <sec id="sec8">
            <title>Methodology</title>
            <sec id="sec9">
                <title>Study design and sample size</title>
                <p>The study was designed as a cross-sectional, health facility-based survey conducted in three districts of Sierra Leone&#x2019;s Northern Province: Tonkolili, Bombali, and Port Loko. A sample size of 300 children was calculated to detect an &#x2265;8.4% increase in SP resistance prevalence, assuming a baseline prevalence of 10% and accounting for a 10% potential sample loss.
                    <sup>
                        <xref ref-type="bibr" rid="ref15">15</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec10">
                <title>Participants recruitment and sample collection</title>
                <p>From June to August 2021, children attending outpatient departments of five health facilities in the study area were screened for eligibility. Children who met the following criteria were invited to participate in the study: (i) aged two to five years old, (ii) an axillary temperature &#x2265;37.5 &#x00b0;C or a history of fever in the preceding 24 hours, iii) no signs of severe malaria,
                    <sup>
                        <xref ref-type="bibr" rid="ref2">2</xref>
                    </sup> iv) and a positive result for malaria with an HPR (histidine-rich protein) 2-based rapid diagnostic test (RDT) (Malaria Ag P.f/Pan, SD Bioline
                    <sup>TM</sup>, Gyeonggi-do, Republic of Korea). The RDT used in this study is listed in the WHO-prequalified in vitro Diagnostic Products used by the Sierra Leone National Malaria Control Program.
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup>
                </p>
                <p>After written informed consent was obtained from caretakers, a questionnaire was administered to collect socio-demographic information and clinical information. Enrolled children underwent clinical assessments, including anthropometric measurements (weight, height/length, and mid-upper arm circumference [MUAC]). Finger-prick blood samples were collected on Whatman
                    <sup>&#x00ae;</sup> FTA filter papers in the form of Dried Blood Spots (DBSs), labeled with unique identifiers, were dried completely for 24 hours at room temperature, and stored at 4&#x00b0;C with silica gel until shipment to the Hospital Cl&#x00ed;nic in Barcelona where they were stored at -20&#x00b0;c until further molecular analysis.</p>
            </sec>
            <sec id="sec11">
                <title>Laboratory procedures</title>
                <p>Parasite genomic DNA was extracted from one 5 mm diameter punch from DBS using a Tween-Chelex-based protocol Merck, Ref: P1379 and C7901,
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> eluted in 100 ul of water, and subsequently quantified via qPCR targeting the pf18S ribosomal RNA (rRNA).
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>,
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> Sequencing of genetic markers of interest (
                    <italic toggle="yes">pfdhps</italic>, 
                    <italic toggle="yes">pfdhfr</italic>, 
                    <italic toggle="yes">pfcrt</italic>, 
                    <italic toggle="yes">pfmdr1</italic>, and 
                    <italic toggle="yes">pfK13</italic>) was performed using the MAD4HatTeR multiplex amplicon sequencing panel (Paragon Genomics Inc, California, USA, Ref: PDG268),
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> following previously described procedures.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> Libraries were paired-end sequenced in a NextSeq 2000 system with P1 reagents (Illumina, ref. 20050264). Fastq files were analyzed with MAD4HatTeR Nextflow-based pipeline version 0.1.8
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> using default parameters and the 
                    <italic toggle="yes">P. falciparum</italic> 3D7 genome as the reference for alternative allele calling, with the exception of 
                    <italic toggle="yes">pfdhps</italic>-A437G where the reference allele G was considered mutant.
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup> Alleles with fewer reads than the maximum observed in any locus for negative controls were removed, along with alleles with a &lt;1% within-sample frequency. Reconstruction of 
                    <italic toggle="yes">pfdhps</italic> double, 
                    <italic toggle="yes">pfdhfr</italic> triple and 
                    <italic toggle="yes">pfdhfr/pfdhps</italic> quintuple haplotypes was done for samples with no mixed genotypes at selected loci, to minimize phasing complexities.</p>
            </sec>
            <sec id="sec12">
                <title>Statistical analysis</title>
                <p>Descriptive statistics summarized participant characteristics, with continuous variables reported as means &#x00b1; standard deviations (SDs) and categorical variables as frequencies and percentages.</p>
                <p>Crude and multivariate logistic regression models were estimated using Firth&#x2019;s Penalized Likelihood method to address data separation.
                    <sup>
                        <xref ref-type="bibr" rid="ref26">26</xref>,
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup> Profile Penalized-Log Likelihood was used to compute 95% confidence intervals (CIs). Anthropometric z-scores were computed using the LMS method and WHO reference charts,
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup> with underweight defined as a weight-for-age z-score (WAZ) &lt; -2. Analyses were performed using Stata/SE 18.0, with logistic regression conducted via the 
                    <italic toggle="yes">firthlogit</italic> program.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec13">
                <title>Ethics statement</title>
                <p>The study protocol and informed consent forms were approved by the Sierra Leone Ethics and Scientific Review Committee (dated August 9, 2020, no approval number) and the Hospital Cl&#x00ed;nic Research Ethics Committee (Barcelona, Spain) (Registration No: HCB/2020/0173, dated August 28, 2020). The study adheres to the Declaration of Helsinki. The study funder had no role in the design, data collection, analysis, interpretation, or manuscript writing.</p>
            </sec>
            <sec id="sec14">
                <title>Consent</title>
                <p>Written informed consent for publication of the participants details was obtained from the participants&#x2019; guardian.</p>
            </sec>
        </sec>
        <sec id="sec15" sec-type="results">
            <title>Results</title>
            <sec id="sec16">
                <title>Participants characteristics</title>
                <p>The study was conducted from June to August 2021. Out of 440 children attending the U5 outpatient department with signs and/or symptoms suggestive of malaria, 306 (74.5%) had a positive malaria RDT test. Of them, 300 (98.0%) were enrolled. A capillary sample was collected from these participants for molecular analysis (
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>). The characteristics of the participants are shown in 
                    <xref ref-type="table" rid="T1">
Table 1</xref>. The majority of the children were from Tonkolili District (180, 60.0%) and the most common ethnic group was Themne (218, 72.7%). The participants&#x2019; mean age was 37.8 months (&#x00b1;10.5) and more than half of the participants (158, 52.7%) were male. A total of 62 (20.7%) children were underweight (defined as having a weight-for-age z-score (WAZ) &lt;-2), and 78 (26.0%) children had an axillary temperature of &#x2265;37.5&#x00b0;C. Most children (211, 70.3%) had slept under a bed net the previous night. A total of 113 (37.7%) children had received an antimalarial within the last month. The mean time since the participants&#x2019; last PMC dose was 27.3 months (&#x00b1;10.1).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Survey profile.</title>
                        <p>ICF: Informed consent form, RDT: Rapid diagnostic test.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/17769/922fc08a-9903-4a49-a5a6-33f1b09b45c4_figure1.gif"/>
                </fig>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Characteristics of study participants.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n/N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage or mean &#x00b1; SD [N]</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">District</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bombali</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Port Loko</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tonkolili</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">180/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Age (months)</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.8 (10.5) [300]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">Sex</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">158/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">142/296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="4" valign="top">Ethnic group</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Themne</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">218/296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">72.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mende</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22/296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Limba</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18/296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Others</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42/296</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">Underweight (WAZ &lt;-2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">238/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">79.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">Axillary temperature</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;37.5&#x00b0;C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">222/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">74.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2265;37.5&#x00b0;C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">78/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">High parasitemia (&#x2265;500 parasites/&#x03bc;L)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38/229</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.6%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">191/229</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">83.4%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Bed net use</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">88/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">211/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">70.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do not know</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">Antimalarials received within last month</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">179/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">113/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do not know</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">On cotrimoxazole (more than 2 weeks)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">285/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95.0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.7%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do not know</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7/300</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.3%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Time since last SP dose (months)</td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">27.3 (10.1) [214]</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>SP: Sulfadoxine-pyrimethamine, WAZ: Weight-for-Age Z-score.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec17">
                <title>Molecular markers of resistance to sulfadoxine-pyrimethamine, chloroquine and artemisinin derivatives</title>
                <p>Two (0.7%) out of the 300 dried blood spots samples were excluded due to laboratory processing errors. A total of 79.5% (237/298) blood samples were positive for 
                    <italic toggle="yes">P. falciparum</italic> by 18S qPCR. Among these, 229 (96.6%) samples were successfully sequenced at 
                    <italic toggle="yes">pfdhfr</italic>, and 
                    <italic toggle="yes">pfdhps</italic> loci (i.e. allele calls passed both negative controls and allele frequency filters). Of the sequenced blood samples, median parasite density was 13,850 parasites/&#x03bc;L (IQR: 372&#x2013;79,219), ranging from 0.8 to 737,253 parasites/&#x03bc;L.</p>
                <p>Prevalence rates of molecular markers associated to antimalarial drug resistance are presented in 
                    <xref ref-type="table" rid="T2">Table 2</xref>. Six mutations were found in the 
                    <italic toggle="yes">pfdhps</italic> gen (I431V, S436A, A437G, K540E and A613S). The single mutant alleles harboring 437A and 540E were found in 211/229 (92.1%; 95% CI 87.9&#x2013;95.3) of the isolates and in 42/220 (19.1%; 95% CI 14.1&#x2013;24.9) of isolates, respectively. The double 437/540 mutant allele haplotype was observed in 7/151 (4.6%; 95% CI 1.9&#x2013;9.3) of isolates.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Molecular markers of resistance to sulfadoxine-pyrimethamine, chloroquine and artemisinin derivatives.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gene</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Marker</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">n/N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
% (95% CI)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="7" valign="top">
                                    <italic toggle="yes">pfdhps</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">I431V</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4/229</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.7% (0.5-4.4)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">S436A</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">125/229</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.6% (47.9-61.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">A437G</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">211/229</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">92.1% (87.9-95.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">K540E</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42/220</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.1% (14.1-24.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">A581G</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0/220</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0% (0.0-1.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">A613S</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47/217</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.7% (16.4-27.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">double 437-540
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7/152</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.6 % (1.9-9.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="5" valign="top">
                                    <italic toggle="yes">pfdhfr</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">N51I</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">221/222</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.5% (97.5-100.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">C59R</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">221/222</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.5% (97.5-100.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">S108N</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">222/223</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.6% (97.5, 100.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">I164L</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0/223</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0% (0.0-1.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Triple 51-59-108
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">217/218</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.5% (97.5-100.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="top">
                                    <italic toggle="yes">Pfdhps/dhfr</italic>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Quintuple mutant
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7/151</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.6% (1.9-9.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sextuple mutant
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0/196</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">pfcrt</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">72-76 CVIET</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">82/224</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.6% (30.3-43.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="6" valign="top">pfmdr1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">N86Y</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5/221</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.3% (0.7-5.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Y184F</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">160/223</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">71.7% (65.4-77.6)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">S1034C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0/224</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0%</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">N1042D</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2/224</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.9% (0.11-3.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D1246Y</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4/226</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.8% (0.48-4,47)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">86-184-1034-1042-1246 NFSND</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150/220</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">68.2% (61.6-74.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">pfK13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Validated mutations
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0/219</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0%</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CI: Confidence interval; pfdhfr: Plasmodium falciparum dihydrofolate reductase; pfdhps: Plasmodium falciparum dihydropteroate synthase; pfcrt: Plasmodium falciparum chloroquine resistance transporter; pfmdr1: Plasmodium falciparum multidrug drug resistance gene 1; pfK13: Plasmodium falciparum Kelch 13.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>Only monoallelic infections are included.</p>
                            </fn>
                            <fn id="tfn2">
                                <label>**</label>
                                <p>Report on antimalarial drug efficacy, resistance and response: 10 years of surveillance (2010&#x2013;2019). Geneva: World Health Organization; 2020. License: CC BY-NC-SA 3.0 IGO.
                                    <sup>
                                        <xref ref-type="bibr" rid="ref12">12</xref>
                                    </sup>
                                </p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <p>Regarding mutations in the 
                    <italic toggle="yes">pfdhfr</italic> gen
                    <italic toggle="yes">,
</italic> three mutations (N51I, C59R, S108N) were detected, with the triple N51I/C59R/S108N mutant allele present in 217/218 (99.5%; 95% CI 97.5-100) of the isolates. The 
                    <italic toggle="yes">pfdhps/pfdhfr</italic> quintuple mutant (N51I/C59R/S108N + A437G/K540E) was detected in 7/151 (4.6%; 95% CI: 1.9&#x2013;9.3) of the isolates. No statistically significant associations were observed between the presence of quintuple mutations to SP and potential host risk factors (
                    <xref ref-type="table" rid="T3">
Table 3</xref>). No sextuple mutant (N51I/C59R/S108N + A437G/K540E/A581S) was detected in any of the samples analysed.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Logistic regression of risk factors associated to 
                            <italic toggle="yes">P. falciparum</italic> infection with 
                            <italic toggle="yes">pfdhps</italic>/
                            <italic toggle="yes">dhfr</italic> quintuple mutations
                            <xref ref-type="table-fn" rid="tfn3">*</xref>.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top"/>
                                <th align="left" colspan="2" rowspan="1" valign="top">Univariable models</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Multivariable model</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top">Variables</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Crude odds ratios (95% CI)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Adjusted odds ratios (95% CI)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
P-value
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">District</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bombali</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">0.7747</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="3" valign="top">0.9019</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Port Loko</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.58 (0.02-15.92)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.59 (0.01-23.05)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tonkolili</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.14 (0.06-23.11)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.95 (0.04-23.64)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Age (months)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.04 (0.97-1.11)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.3092</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.02 (0.93-1.13)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.6203</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.62 (0.53-12.94)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.2360</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.16 (0.45-10.43)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.3393</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Underweight (WAZ &lt;-2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.02 (0.16-6.61)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.9825</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.77 (0.12-5.00)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.7885</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Axillary temperature &#x2265;37.5&#x00b0;C</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.74 (0.12-4.73)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.7495</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.76 (0.13-4.58)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.7616</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">High parasitemia (&#x2265;500 parasites/ul)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.22 (0.19-7.85)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.8325</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.23 (0.19-7.85)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.8256</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Bed net use</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.45 (0.10-2.08)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.3052</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.50 (0.11-2.33)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.3750</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Antimalarials received last month</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.34 (0.29-6.23)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.7048</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.53 (0.29-8.06)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.6153</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">Time since last SP dose received (months)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.05 (0.97-1.13)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.2254</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.01 (0.93-1.11)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.7917</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>SP: sulfadoxine-pyrimethamine, WAZ: Weight-for-Age Z-score.</p>
                        <p>Penalized maximum likelihood logistic regression.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn3">
                                <label>*</label>
                                <p>n = 101 observations.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <p>The 
                    <italic toggle="yes">pfcrt</italic> 72&#x2013;76 CVIET haplotype that has been associated with 
                    <italic toggle="yes">P. falciparum</italic> resistance to chloroquine was detected in 82/224 (36.6%; 95% CI: 30.3-43.3) of the isolates.</p>
                <p>Regarding the 
                    <italic toggle="yes">pfmdr1</italic> gene, four mutations were detected (N86Y, Y184F, N1042D and D1246Y) in 2.3% (5/221; 95% CI: 0.7-5.2), 71.7% (95% CI: 65.4-77.6), 0.9% (95% CI: 0.11-3.2) and 1.8% (95% CI: 0.48-4.47) of the tested isolates, respectively. No S1034C mutant was detected. Out of the 220 samples with a determinable full haplotype, 61 (27.7%, 95% CI: 21.9-34.1) were wild type for all five loci (NYSND haplotype), and 150 (68.2%; 95% CI: 61.6-74.3) were single mutants (codon 184, NFSND haplotype).</p>
                <p>No validated mutations in the 
                    <italic toggle="yes">pfk13</italic> gene were detected in any of the 219 sequenced samples (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            </sec>
        </sec>
        <sec id="sec18" sec-type="discussion">
            <title>Discussion</title>
            <p>The study was conducted in Sierra Leone seven and three years after the nationwide implementation of IPTp and PMC, respectively. Since 2015, artemisinin-lumefantrine (AL) is the first-line treatment for uncomplicated malaria in the country. The latest national Malaria Indicator Survey and a household survey from another study, both conducted in 2021, reported that more than half of pregnant women received at least three doses of IPTp, and nearly 60% of infants had received three PMC doses.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> Despite the wide implementation of these SP-based strategies the findings from this study show a low prevalence (4.6%) of the 
                <italic toggle="yes">pfdhfr/pfdhps</italic> quintuple mutant and no presence of the sextuple mutant.</p>
            <p>The prevalence of 
                <italic toggle="yes">pfdhfr</italic> triple mutations was nearly fixed (99.5%), consistent with country reports from 2016 and 2018.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>,
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> Nevertheless, the prevalence of the 
                <italic toggle="yes">pfdhps/pfdhfr</italic> quintuple mutant was found at a lower prevalence (4.6%) in the current study as compared to the prevalence observed (10%) in the previous survey in 2016, with no data on quintuple mutant reported in 2018.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> The low prevalence of the quintuple mutant in Sierra Leone aligns with rates reported in West Africa, like 15.4% in Guinea (2013-2016),
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> 0% in Senegal (2010)
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> and 1.6% in Mali (2012).
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup>
            </p>
            <p>The low prevalence of the quintuple mutant and the absence of the sextuple mutant in this study support the continued use of SP for chemoprevention in young children and pregnant women in Sierra Leone. Although the presence of SP resistance markers alone does not determine drug efficacy, especially when used for prevention, sustained drug pressure may drive these mutations toward saturation.
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> Therefore, regular monitoring of molecular resistance markers is important to understand how their prevalence affects drug effectiveness and to tailor malaria prevention programs.</p>
            <p>In this study, we also assessed the prevalence of molecular markers associated with chloroquine and artemisinin resistance in the country. Mutations in the 
                <italic toggle="yes">pfcrt</italic> gene at codon 72-76 have been associated with 
                <italic toggle="yes">P. falciparum</italic> tolerance to chloroquine and other 4-aminoquinolines such as amodiaquine and piperaquine. The 
                <italic toggle="yes">pfcrt</italic> prevalence reported in this study is higher than the 22% observed in 2018 in a Southern district in the country, though the latter was based on a sample size of only 95 participants.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> The 
                <italic toggle="yes">pfcrt</italic> prevalence varies across West Africa, ranging from the highest in Liberia (87.9%, 2018),
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> a moderate level in the Democratic Republic of Congo (22.7%, 2019),
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> to low in Equatorial Guinea (2.8%, 2019)
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> and Togo (0.6%, 2021).
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup> Mutations in the 
                <italic toggle="yes">pfmdr1</italic> gene also modulate parasite susceptibility to several ACT partner drugs (e.g. lumefantrine, mefloquine, and piperaquine). The predominant 
                <italic toggle="yes">pfmdr1</italic> NFSND haplotype detected in Sierra Leone is consistent with trends observed across West African countries that adopted artemether-lumefantrine (AL) and discontinued chloroquine as first-line treatment.
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref45">45</xref>
                </sup> 
                <italic toggle="yes">pfmdr1</italic> mutations exhibit pleiotropic effects, with N86Y driving resistance to chloroquine and amodiaquine while sensitizing parasites to lumefantrine, mefloquine, and artemisinin derivatives.
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref49">49</xref>
                </sup> These findings underscore the importance of molecular surveillance to optimize ACT use in different regions.</p>
            <p>Several mutations in the 
                <italic toggle="yes">pfK13</italic> gene are associated with artemisinin resistance.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> However, none were detected in this study, indicating no molecular evidence of compromised efficacy of artemisinin and its derivatives in Sierra Leone. Nonetheless, the emergence of such mutations has been recently reported in Rwanda,
                <sup>
                    <xref ref-type="bibr" rid="ref50">50</xref>
                </sup> Uganda,
                <sup>
                    <xref ref-type="bibr" rid="ref51">51</xref>
                </sup> and the Democratic Republic of Congo,
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>
                </sup> mirroring the early stages of resistance observed in Southeast Asia. In that region, 
                <italic toggle="yes">P. falciparum</italic> developed partial resistance to artemisinin-based combination therapies (ACT), leading to treatment failures and the spread of resistance strains.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> To prevent a similar trend in Africa, regular surveillance and monitoring of artemisinin resistance are crucial.</p>
            <p>Nonetheless, the presence of resistance markers alone does not explain the reduced efficacy of antimalarial drugs. A meta-analysis of seven clinical trials concluded that IPTp with SP reduces placental malaria, low birthweight, and anemia in pregnant women, even in areas with SP treatment failure in children.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Factors such as patient adherence, metabolism, host immunity, and nutritional status also influence drug efficacy. These factors vary by individual, population, and region, requiring careful interpretation of molecular resistance markers and their impact on chemoprevention.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>This study has some strengths and limitations. A key strength is its geographical coverage, spanning three districts in Sierra Leone&#x2019;s Northern Province, making it more representative than previous surveys in 2016 and 2018, which were limited to the Kambia or Bo districts.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>,
                    <xref ref-type="bibr" rid="ref32">32</xref>,
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup>
            </p>
            <p>The study was limited by the fact that 20.5% (61/298) of blood samples from RDT-confirmed participants tested negative for 
                <italic toggle="yes">P. falciparum</italic> by qPCR. These potential false positives may be due to the residual presence of HRP2 antigens in the bloodstream, which can persist in the blood for up to 28 days after infection clearance.
                <sup>
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup> In addition, of the 61 participants with negative qPCR results, 28 reported having taken an antimalarial drug within the past month, which would be in line with the false-positive RDT results and better agrees with previously observed false positive rates of 10% with this RDT test.
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup> Another explanation is a potential DNA degradation during sample preservation.</p>
            <p>In 2022, the WHO recommended additional PMC-SP doses to extend protection beyond the first year of life.
                <sup>
                    <xref ref-type="bibr" rid="ref55">55</xref>
                </sup> The current findings showing a low prevalence of the 
                <italic toggle="yes">pfdhfr/pfdhps</italic> quintuple mutant and the absence of the sextuple mutant support the continued use of SP for IPTp and PMC, as well as the expansion of PMC with additional SP doses administered in the second year of life in Sierra Leone.</p>
        </sec>
    </body>
    <back>
        <sec id="sec21" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec22">
                <title>Underlying data</title>
                <p>As the dataset contains potentially identifying information on participants, it is stored under restricted access. For more detailed information beyond the metadata and documentation provided, there is a process of managed access requiring the submission of a request for consideration. Please contact this email for data access: 
                    <email xlink:href="mailto:andreu.bofill@isglobal.org">andreu.bofill@isglobal.org</email>
                </p>
                <p>Reporting guidelines: The manuscript adheres to STROBE checklist for observational cross-sectional studies.</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>We sincerely thank the study nurses for their dedication and hard work in sample and data collection. We are also deeply grateful to the caregivers and children for their invaluable participation and cooperation in this survey. Additionally, we thank Maximo Ram&#x00ed;rez for his contribution in data management and Arnau Va&#x00f1;&#x00f3;-Boira for his contribution to sample processing and sequencing.</p>
        </ack>
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