<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2020.82007</article-id><article-id pub-id-type="publisher-id">JBM-98264</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Resistance of &lt;i&gt;Plasmodium falciparum&lt;/i&gt; to Sulfadoxine-Pyrimethamine (&lt;i&gt;Dhfr&lt;/i&gt; and &lt;i&gt;Dhps&lt;/i&gt;) and Artemisinin and Its Derivatives (K13): A Major Challenge for Malaria Elimination in West Africa
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Valérie</surname><given-names>B. Bazie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Karim Ouattara</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tani</surname><given-names>Sagna</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tegwindé</surname><given-names>Rebeca Compaore</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Serge</surname><given-names>Théophile Soubeiga</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pegdwendé</surname><given-names>Abel Sorgho</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Albert</surname><given-names>Théophane Yonli</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jacques</surname><given-names>Simpore</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>National Center for Scientific and Technological Research (CNRST), Ouagadougou, Burkina Faso</addr-line></aff><aff id="aff1"><addr-line>Laboratory of Molecular Biology and Genetics (LABIOGENE), UFR-SVT, University Joseph KI-ZERBO, Ouagadougou, Burkina Faso</addr-line></aff><aff id="aff2"><addr-line>Pietro Annigoni Biomolecular Research Center (CERBA), Ouagadougou, Burkina Faso</addr-line></aff><pub-date pub-type="epub"><day>17</day><month>01</month><year>2020</year></pub-date><volume>08</volume><issue>02</issue><fpage>82</fpage><lpage>95</lpage><history><date date-type="received"><day>24,</day>	<month>December</month>	<year>2019</year></date><date date-type="rev-recd"><day>11,</day>	<month>February</month>	<year>2020</year>	</date><date date-type="accepted"><day>14,</day>	<month>February</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The spread of resistance to antimalarials is a major public health problem worldwide and especially in sub-Saharan Africa where the highest morbidity and mortality rates are found with a critical scarcity of data on resistance. The objective of this review is to describe the mutations in the 
  <em>pfdhfr</em>, 
  <em>pfdhps</em> and k13 genes associated with resistance to artemisinin and Sulfadoxine-Pyrimethamine reported in West Africa during the decade 2007 to 2017 followed by a meta-analysis of their prevalence. A bibliographic search on the MEDLINE, PubMed, EMBASE and Sciences Direct databases made it possible to find 405 scientific papers relating to resistance to artemisinin and to Sulfadoxine-Pyrimethamine during the period 2007-2017. The analysis has concerned 217 scientific articles after the elimination of duplicates with 57 articles included in this review after the examination of titles and abstracts. The results of the present review show that the 
  <em>dhfr</em> and 
  <em>dhps</em> mutants are widespread in sub-Saharan Africa. Although, Kelch 13 mutants from Southeast Asia associated with artemisinin resistance are still absent in West Africa, studies have reported the presence of synonymous or non-K13 mutations correlated with a delay in parasite clearance in Burkina Faso (2.26%), Senegal (5.5%) and Togo (1.8%). The increased prevalence of 
  <em>dhfr</em> and 
  <em>dhps</em> mutants in West Africa could jeopardize its use for intermittent preventive treatment in the near future. Despite the absence of strains resistant to artemisinin-based combination therapy in the West African region, increased surveillance is necessary to prevent the rapid occurrence of possible resistance, especially in the context of synonymous or non-K13 mutations correlated with a delay in parasitic clearance.
 
</p></abstract><kwd-group><kwd>Resistance</kwd><kwd> Mutations</kwd><kwd> Artemisinin</kwd><kwd> Sulfadoxine-Pyrimethamine</kwd><kwd> West Africa</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>In 2017, WHO estimated that 219 million people experience a malarial illness worldwide with 435,000 deaths, more than 90% of them in tropical Africa and 61% of children under five years of age [<xref ref-type="bibr" rid="scirp.98264-ref1">1</xref>]. About 41.1 million of morbidity and 18,400 deaths were recorded in West Africa [<xref ref-type="bibr" rid="scirp.98264-ref1">1</xref>]. This disease represents a serious threat to health systems in sub-Saharan Africa where morbidity and mortality from malaria are the highest and inadequate surveillance systems to better control its spread [<xref ref-type="bibr" rid="scirp.98264-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref4">4</xref>]. One of the major challenges in malaria elimination is the resistance of Plasmodium falciparum to antimalarials today. According to WHO recommendations, artemisinin and Sulfadoxine-pyrimethamine (SP) are currently the most used drugs as the first line of treatment against malaria in Africa [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>]. But a decade ago, the first cases of parasites resistant to artemisinin and its derivatives were detected in western Cambodia and then spread to the area of Southeast Asia [<xref ref-type="bibr" rid="scirp.98264-ref6">6</xref>]. In the case of Sub-Saharan Africa, the data in the literature are controversial on the probable relationship between the presence of k13 mutants and resistance to artemisinin [<xref ref-type="bibr" rid="scirp.98264-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref7">7</xref>]. On the other hand, cases of resistance to SP have already been demonstrated by several authors, while SP continues to be offered as an intermittent and preventive treatment against malaria [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref11">11</xref>]. In the current context of West Africa, the insufficiency of information and the divergence of the conclusions of most of the studies on the Plasmodium resistance genes to SP and to artemisinin contribute to disseminate uncertainties on the choice of certain molecules such as SP for intermittent preventive treatment (IPT) and the probable presence of mutations in the k13 gene associated with resistance to artemisinin [<xref ref-type="bibr" rid="scirp.98264-ref12">12</xref>]. To prevent resistance in this area, strict diagnosis of malaria infections prior to treatment and good compliance with antimalarial drugs accompany WHO recommendation of artemisinin-based combinations (ACT) for the management of simple malaria and the administration of 3 doses of SP in IPT in each pregnancy [<xref ref-type="bibr" rid="scirp.98264-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref14">14</xref>]. In the absence of a vaccine with sufficient and lasting efficacy, preserving the efficacy of antimalarials, in particular artemisinin and SP in IPT, therefore constitutes a major challenge for Sub-Saharan Africa and in particular for West African in malaria control.</p><p>A synthesis of work on the resistance of Plasmodium to these main antimalarials is necessary to guide public health policies for the elimination of malaria in endemic areas of sub-Saharan Africa. To take stock of possible resistance to artemisinin and SP, this review will generally describe the situation of the resistance genes pfdhfr, pfdhps and k13 in West Africa during the decade 2007 to 2017. It will then be focused on a meta-analysis of the prevalence of mutations reported by the included studies in order to provide information that can facilitate decision-making on the effectiveness of SP and artemisinin.</p><sec id="s1_1"><title>1.1. Sulfadoxine-Pyrimethamine Mechanism of Action</title><p>Sulfadoxine (sulfonamide) is an antibiotic that inhibits the metabolism of folic acid (vitamin B9). Folic acid is essential for Plasmodium development [<xref ref-type="bibr" rid="scirp.98264-ref15">15</xref>]. Plasmodium synthesizes folic acid in 2 enzymatic steps using dihydropteroate synthetase (DHPS) then dihydrofolate reductase (DHFR). Blocking one of these pathways prevents the development of the parasite. Thus, sulfadoxine would inhibit the first synthetic enzyme, dihydropteroate synthetase (DHPS) and pyrimethamine would act on the second enzyme called dihydrofolate reductase (DHFR). SP has an erythrocyte and tissue schizonticidal effect, the action of which is prolonged by sulfadoxine. SP is most often recommended for intermittent and preventive treatment, especially in pregnant women [<xref ref-type="bibr" rid="scirp.98264-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref17">17</xref>].</p></sec><sec id="s1_2"><title>1.2. Resistance to Sulfadoxine-Pyrimethamine</title><p>At the genetic level, resistance to SP is caused by mutations in the dhfr and dhps genes of Plasmodium falciparum. Mutations in the dhfr gene cause resistance to pyrimethamine; they are amino acid substitutions on codons S108N, N51I, C59R and I164L. For the dhps gene, the substitutions responsible for sulfadoxine resistance are located on codons S436A/F, A437G, K540E, A581G and A613T/S [<xref ref-type="bibr" rid="scirp.98264-ref18">18</xref>].</p></sec><sec id="s1_3"><title>1.3. The Mechanism of Action of Artemisinin and Its Derivatives</title><p>Artemisinin or qinghaosu is a sesquiterpene lactone extracted from the leaves of a plant called Artemisia annua. Its biosynthesis is not yet fully understood [<xref ref-type="bibr" rid="scirp.98264-ref19">19</xref>]. The semi-synthetic derivatives of artemisinin are dihydroartemisinin (DHA), artesunate, artemether and arteether [<xref ref-type="bibr" rid="scirp.98264-ref20">20</xref>]. Artemisinin and its derivatives are pro-drugs that act on the schizonts of Plasmodium in erythrocytes. They cross the membrane of the red blood cells and then that of the parasites and accumulate in the digestive vacuoles of the parasite. Two main mechanisms of action are attributed to them. It would be the blocking of a SERCA (Sarco/Endoplasmic Reticulum Ca<sup>2+</sup> ATPase) or PfATPase enzyme which would allow the parasite to pump calcium for its development [<xref ref-type="bibr" rid="scirp.98264-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref21">21</xref>]. The other mechanism of action results from the presence in the structure of artemisinin of an endoperoxide bridge playing a major role in the effectiveness of the molecule. The activation of the endoperoxide bridge during the endo-erythrocytic phase generates free radicals which alter the membrane of the parasite thus causing its death by oxidative stress [<xref ref-type="bibr" rid="scirp.98264-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref23">23</xref>]. There are two ways of activating the endo-peroxide bridge. The mitochondria are said to be the seat of the first pathway which is caused by the electron transport chain, the consequence of which is a large production of Reactive Oxygen Species (ROS) [<xref ref-type="bibr" rid="scirp.98264-ref7">7</xref>]. The second way takes place in the digestive vacuoles thanks to the heme (Fe<sup>2+</sup>) resulting from the catabolism of hemoglobin [<xref ref-type="bibr" rid="scirp.98264-ref24">24</xref>]. Artemisinin is toxic to chloroquine resistant strains. It acts mainly on rings and trophozoites in the growth phase. Its toxicity on the early stages of gametocytes gives it effectiveness in inhibiting the transmission of the parasite [<xref ref-type="bibr" rid="scirp.98264-ref19">19</xref>]. Artemisinin is however inactive on merozoites, pre-erythrocytic forms and other forms present in the parasite development cycle at the level of the malaria vector [<xref ref-type="bibr" rid="scirp.98264-ref19">19</xref>]. The World Health Organization issued guidelines in 2015 to recommend Artemisinin and its derivatives as first-line malaria treatment and two artemisinin derivatives can be used together. Children and adults with uncomplicated malaria in endemic area are strongly recommended to be treated with one of the following artemisinin-based combination therapies (ACT): artemether + lumefantrine, artesunate + amodiaquine, artesunate + mefloquine, dihydroartemisinin + piperaquine, artesunate + sulfadoxine pyrimethamine (SP).</p></sec><sec id="s1_4"><title>1.4. Resistance to Artemisinin and Derivatives</title><p>Resistance to artemisinin and its derivatives results from certain mutations in the Kelch or k13 gene located on chromosome 13 of Plasmodium falciparum [<xref ref-type="bibr" rid="scirp.98264-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref27">27</xref>]. Any mutation in the Kelch 13 gene does not systematically confer resistance to artemisinin; two main criteria validate the mutations as being associated with artemisinin resistance. Resistance should be correlated with slow parasitic clearance in clinical studies and reduced sensitivity of the drug in vitro [<xref ref-type="bibr" rid="scirp.98264-ref28">28</xref>]. The assessment of drug sensitivity is based on the quantitative microscopic measurement of delayed parasite clearance following the first days of treatment with ACT or artemisinin monotherapy. This results in a longer parasite clearance half-life. The half-life parameter is measurable by the phenotype ring-stage survival assay or RSA which measures the parasite survival rate in the stage of young trophozoites at an exposure of 700 nM of dihydroartemisinin for 6 h [<xref ref-type="bibr" rid="scirp.98264-ref29">29</xref>]. WHO defines eight K13 mutants associated with the resistance of Plasmodium falciparum to artemisinin which are F446I, P553L, N458Y, R561H, M476I, C580Y, Y493H, R539T and I543T. The other mutants with one of the criteria described above are classified as associated candidates [<xref ref-type="bibr" rid="scirp.98264-ref28">28</xref>]. Resistance to an artemisinin derivative or ACT is considered resistance to artemisinin [<xref ref-type="bibr" rid="scirp.98264-ref30">30</xref>].</p></sec></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Collection of Data</title><p>A bibliographic search on the MEDLINE, PubMed, EMBASE and Sciences Direct databases was carried out using as keywords: “Plasmodium falciparum (+) resistances (+) sulfadoxine-pyrimethamine”, “Plasmodium falciparum (+) resistances (+) Artemisinin”, “Plasmodium falciparum (+) resistances (+) sulfadoxine-pyrimethamine (+) Artemisinin AND/OR X (X = countries of West Africa)”. 654 publications were found over the period 1981 to 2018; 405 publications over a 10-year period (2007-2017) were selected. Duplicates have been removed to retain only 217 publications. The articles included in the database were selected on the basis of the title and the abstract. Other articles that escaped our initial research were added based on the reading of the references of the included articles in the review (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s2_2"><title>2.2. Statistical Analysis</title><p>The prevalence of the mutations was calculated with the Epi-info version 6 software and the RevMan 5.3 software was used for the meta-analysis. The Cochran’s Q test was used to calculate the percentage of the total variance (I2) between the studies involved. “I2” reflects the heterogeneity between these studies. It is weak for the values of I2 ≤ 25%, moderate for 25% &lt; I<sup>2</sup> ≤ 50% and strong for I<sup>2</sup> ≥ 75% [<xref ref-type="bibr" rid="scirp.98264-ref31">31</xref>]. In this comparison, two (2) meta-analyzes concerned the publications</p><p>on the DHPS (codon 437) and DHFR mutations (codons 51, 59 and 108) and the DHFR triple mutation (51 + 59 + 108). A first meta-analysis made it possible to target the publications having negatively impacted the variance and a second was made by eliminating these scientific publications.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Dhfr and Dhps Genes in West Africa</title><p>In 2010, “DRUG RESISTANCE MAP” had mapped 4 dhfr mutations (51, 58, 108 and 164) and 5 dhps mutations (437, 540, 581 and 613S/T) on the African continent [<xref ref-type="bibr" rid="scirp.98264-ref32">32</xref>]. The data collected over the period 2007-2017 showed that the dhfr and dhps mutants are widespread in sub-Saharan Africa in general and in the countries of West Africa (Ivory Coast, Benin, Burkina Faso, Senegal, Ghana, Mali, Gambia and Nigeria) at quite varied frequencies (Tables 1-3). The highest prevalence of dhfr mutants (codon 51, 59, 108) are found in Benin (<xref ref-type="table" rid="table1">Table 1</xref>) [<xref ref-type="bibr" rid="scirp.98264-ref33">33</xref>]. The A437G mutation in the dhps gene is the most frequent with high prevalence in Benin and Burkina Faso (<xref ref-type="table" rid="table2">Table 2</xref>) [<xref ref-type="bibr" rid="scirp.98264-ref34">34</xref>]. The triple dhfr mutation is mainly found in Benin and Senegal (<xref ref-type="table" rid="table3">Table 3</xref>) [<xref ref-type="bibr" rid="scirp.98264-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref36">36</xref>].</p></sec><sec id="s3_2"><title>3.2. K13 Mutants in West Africa</title><p>In 2016 none of the previously described substitutions had been observed generally in sub-Saharan Africa apart from the P553L mutation which was observed at low frequencies in Kenya (0.53%) and in Malawi (0.59%) [<xref ref-type="bibr" rid="scirp.98264-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref38">38</xref>]. Other studies have however observed the presence of synonymous or non-K13 mutations correlated with a delay in parasite clearance in Burkina Faso (2.26%), Senegal (5.5%) and Togo (1.8%) [<xref ref-type="bibr" rid="scirp.98264-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref40">40</xref>] (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_3"><title>3.3. Meta-Analysis of SP Resistance Data in Plasmodium falciparum</title><p>A first meta-analysis of the data showed strong heterogeneity (I<sup>2</sup> &gt; 90%) between the studies compared (Tables 1-4). Considering the analysis for each type of mutation and the triple mutation, we observed a decrease in the percentage of variance when the Cochran’s Q test from RevMan 5.3 was repeated without considering the studies which negatively influenced it (Triple mutation Dhfr + Dhps: heterogeneity chi<sup>2</sup> = 723.39; df = 12 (p &lt; 0.001; I<sup>2</sup> = 98%. Dhps mutation A437G: heterogeneity chi<sup>2</sup> = 142.85; df = 13 (p &lt; 0.001; I<sup>2</sup> = 91%. Dhfr mutation N51I: heterogeneity chi<sup>2</sup> = 410.78; df = 10 (p &lt; 0.001; I<sup>2</sup> = 98%. Dhfr mutation C59R: heterogeneity chi<sup>2</sup> = 7.979; df = 10 (p &lt; 0.001; I<sup>2</sup> = 100%. Dhfr mutation S108N: heterogeneity chi<sup>2</sup> = 219.05; df = 12 (p &lt; 0.00001; I<sup>2</sup> = 95%).</p></sec></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Dhfr and Dhps Genes in West Africa</title><p>The use of SP in West Africa for the intermittent and preventive treatment of malaria has not so far been associated with a loss of birth weight and a drop in</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Prevalence of dhfr codons 51, 59, 108 conferring resistance to SP in Plasmodium falciparum [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref45">45</xref>] - [<xref ref-type="bibr" rid="scirp.98264-ref51">51</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Authors</th><th align="center" valign="middle"  rowspan="2"  >Countries</th><th align="center" valign="middle"  rowspan="2"  >Type of study</th><th align="center" valign="middle"  rowspan="2"  >Sample (N)</th><th align="center" valign="middle"  colspan="2"  >N51I</th><th align="center" valign="middle"  colspan="2"  >C59R</th><th align="center" valign="middle"  colspan="2"  >S108N</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td></tr><tr><td align="center" valign="middle" >Ciss&#233; et al., 2017</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >71.29 (61.30 - 79.64)</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >42.57 (32.91 - 52.80)</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >64.35 (54.14 - 73.46)</td></tr><tr><td align="center" valign="middle" >Som&#233; et al., 2016</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >51I (243), 59R (242), 108N (235)</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >60.90 (54.44 - 67.02)</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >53.72 (47.22 - 60.09)</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >63.83 (57.29 - 69.90)</td></tr><tr><td align="center" valign="middle" >Tahita et al., 2015</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >255</td><td align="center" valign="middle" >31</td><td align="center" valign="middle" >12.2 (8.53 - 16.96)</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >61.17 (54.87 - 67.13)</td><td align="center" valign="middle" >142</td><td align="center" valign="middle" >55.69 (49.35 - 61.84)</td></tr><tr><td align="center" valign="middle" >Amor et al., 2014</td><td align="center" valign="middle" >Africa</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >159</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >94.34 (89.20 - 97.21)</td><td align="center" valign="middle" >149</td><td align="center" valign="middle" >93.71 (88.42 - 96.77)</td><td align="center" valign="middle" >156</td><td align="center" valign="middle" >98.11 (94.15 - 99.51)</td></tr><tr><td align="center" valign="middle" >Ndiaye., 2013</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross sectional</td><td align="center" valign="middle" >416</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >368</td><td align="center" valign="middle" >88.46 (84.90 - 91.29)</td></tr><tr><td align="center" valign="middle" >Fall et al., 2013</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >77.57 (70.30 - 83.54)</td><td align="center" valign="middle" >131</td><td align="center" valign="middle" >79.39 (72.26 - 85.13)</td><td align="center" valign="middle" >135</td><td align="center" valign="middle" >81.81 (74.90 - 87.21)</td></tr><tr><td align="center" valign="middle" >Ogouyemi-Hounto et al., 2013</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >212</td><td align="center" valign="middle" >204</td><td align="center" valign="middle" >96.23 (92.43 - 98.23)</td><td align="center" valign="middle" >199</td><td align="center" valign="middle" >93.87 (89.50 - 96.56)</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >97.64 (94.28 - 99.13)</td></tr><tr><td align="center" valign="middle" >Doumbo et al., 2013</td><td align="center" valign="middle" >Mali</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >12.50 (2.19 - 39.59)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wurtz et al., 2012</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >174</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >83.33 (76.77 - 88.38)</td><td align="center" valign="middle" >129</td><td align="center" valign="middle" >74.17 (66.86 - 80.33)</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >82.18 (75.51 - 87.40)</td></tr><tr><td align="center" valign="middle" >Duah et al., 2012</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >945</td><td align="center" valign="middle" >522</td><td align="center" valign="middle" >55.24 (52 - 58.43)</td><td align="center" valign="middle" >623</td><td align="center" valign="middle" >65.92 (62.79 - 68.92)</td><td align="center" valign="middle" >647</td><td align="center" valign="middle" >68.46 (65.38 - 71.40)</td></tr><tr><td align="center" valign="middle" >Fabrice et al., 2011</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >random sample</td><td align="center" valign="middle" >51I/108N (260), 59R (261)</td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >50.08 (51.81 - 64.10)</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >54.79 (48.53 - 60.90)</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >55 (48.73 - 61.12)</td></tr><tr><td align="center" valign="middle" >Faye et al., 2011</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >480</td><td align="center" valign="middle" >179</td><td align="center" valign="middle" >37.29 (32.98 - 41.80)</td><td align="center" valign="middle" >177</td><td align="center" valign="middle" >36.87 (32.58 - 41.38)</td><td align="center" valign="middle" >241</td><td align="center" valign="middle" >50.21 (45.65 - 54.76)</td></tr><tr><td align="center" valign="middle" >Alam et al., 2011</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >50 (2.66 - 97.33)</td></tr><tr><td align="center" valign="middle" >Nahum et al., 2009</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >68 (46.45 - 84.27)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Djaman et al., 2007</td><td align="center" valign="middle" >C&#244;te d’Ivoire</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >38.98 (30.26 - 48.42)</td></tr></tbody></table></table-wrap><p>the level of maternal hemoglobin [<xref ref-type="bibr" rid="scirp.98264-ref41">41</xref>]. The distribution of mutations at codons 59, 540 and triple/quadruple/quintuple mutations of the pfdhfr and pfdhps genes would be highly predictive of treatment failures in SP [<xref ref-type="bibr" rid="scirp.98264-ref42">42</xref>]. Most of these SP resistance markers present at the majority of sites in West Africa could seriously compromise the effectiveness of intermittent preventive treatment for years to come [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref43">43</xref>]. This situation would call for new approaches and new strategies with regard to the efficient use of SP in West Africa and in general in sub-Saharan Africa.</p></sec><sec id="s4_2"><title>4.2. K13 Mutants in West Africa</title><p>Current data would show that most West African countries have not yet recorded Kelch 13 (K13) mutations similar to those observed in Southeast Asia and which</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Prevalence of dhps codon 431, 436, 437, 540, 581 and 613 conferring resistance to SP in Plasmodium falciparum [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref47">47</xref>] - [<xref ref-type="bibr" rid="scirp.98264-ref51">51</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Authors</th><th align="center" valign="middle"  rowspan="2"  >Countries</th><th align="center" valign="middle"  rowspan="2"  >Type of study</th><th align="center" valign="middle"  rowspan="2"  >Sample (N)</th><th align="center" valign="middle"  colspan="2"  >431V</th><th align="center" valign="middle"  colspan="2"  >S436A/F</th><th align="center" valign="middle"  colspan="2"  >A437G</th><th align="center" valign="middle"  colspan="2"  >K540E</th><th align="center" valign="middle"  colspan="2"  >A581G</th><th align="center" valign="middle"  colspan="2"  >A613T/S</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td></tr><tr><td align="center" valign="middle" >Ciss&#233; et al., 2017</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >80.20 (70.84 - 87.21)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Som&#233; et al., 2016</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >236</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >64 (57.46 - 70.03)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Oguike et al., 2016</td><td align="center" valign="middle" >Nigeria</td><td align="center" valign="middle" >Retrospective</td><td align="center" valign="middle" >589</td><td align="center" valign="middle" >223</td><td align="center" valign="middle" >37.86 (33.95 - 41.93)</td><td align="center" valign="middle" >318</td><td align="center" valign="middle" >53.99 (49.87 - 58.06)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >578</td><td align="center" valign="middle" >98.13 (96.58 - 99.01)</td><td align="center" valign="middle" >442</td><td align="center" valign="middle" >75.04 (71.30 - 78.45)</td><td align="center" valign="middle" >413</td><td align="center" valign="middle" >70.11 (66.21 - 73.75)</td></tr><tr><td align="center" valign="middle" >Tahita et al, 2015</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >34.19 (28.18 - 40.75)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Amor et al., 2014</td><td align="center" valign="middle" >Africa</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >159</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >8 (5.08 - 14.61)</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >74 (66.57 - 80.67</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >23.90 (17.66 - 31.43)</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >4.4 (1.94 - 9.21)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fall et al., 2013</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >38.79 (31.40 - 46.70)</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >54.54 (46.63 - 62.24)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.6 (0.031 - 3.841)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.21 (0.21 - 4.76)</td></tr><tr><td align="center" valign="middle" >Ogouyemi-Hounto et al., 2013</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >71.43 (64.73 - 77.33)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Moussiliou et al., 2013</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Prospective</td><td align="center" valign="middle" >212</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >173</td><td align="center" valign="middle" >81.60 (75.58 - 86.45)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Doumbo et al., 2013</td><td align="center" valign="middle" >Mali</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >25 (19.28 - 31.70)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wurtz et al., 2012</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >174</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >35.06 (28.09 - 42.69)</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >40.23 (32.96 - 47.94)</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >40.23 (32.96 - 47.94)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.72 (0.45 - 5.36)</td></tr><tr><td align="center" valign="middle" >Duah et al., 2012</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >945</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >689</td><td align="center" valign="middle" >72.91 (69.93 - 75.70)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.32 (0.08 - 1.00)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Fabrice et al., 2011</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >random sample</td><td align="center" valign="middle" >259</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >35.52 (29.76 - 41.71)</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >56.76 (50.47 - 62.83)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Faye et al., 2011</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >480</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >228</td><td align="center" valign="middle" >47.50 (42.97 - 52.07)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Alam et al., 2011</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >436S (21); 437G (63)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >14.28 (3.76 - 37.35)</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >36.51 (25.02 - 49.65)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nahum et al., 2009</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >437G (30); K540 (3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >83.33 (64.55 - 93.69)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >33.33 (1.76 - 87.46)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Djaman et al., 2007</td><td align="center" valign="middle" >C&#244;te d’Ivoire</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >65.25 (55.87 - 73.63)</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >51.70 (42.35 - 60.92)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >27.11 (19.54 - 36.21)</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Prevalence of dhfr triple mutation (51 + 59 + 108) conferring resistance to SP in Plasmodium falciparum [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref47">47</xref>] - [<xref ref-type="bibr" rid="scirp.98264-ref51">51</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Authors</th><th align="center" valign="middle"  rowspan="2"  >Countries</th><th align="center" valign="middle"  rowspan="2"  >Type of study</th><th align="center" valign="middle"  rowspan="2"  >Sample (N)</th><th align="center" valign="middle"  colspan="2"  >Triple mutation dhfr (N51I + C59R + S108N)</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" >% (CI)</td></tr><tr><td align="center" valign="middle" >Ruizendaal et al., 2017</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Longitudinal and cross-sectional</td><td align="center" valign="middle" >921</td><td align="center" valign="middle" >625.00</td><td align="center" valign="middle" >67.86 (64.72 - 70.85)</td></tr><tr><td align="center" valign="middle" >Ciss&#233; et al., 2017</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >25.74 (17.79 - 35.57)</td></tr><tr><td align="center" valign="middle" >Som&#233; et al., 2016</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >55.55 (44.73 - 65.90)</td></tr><tr><td align="center" valign="middle" >Tahita et al, 2015</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >255</td><td align="center" valign="middle" >2900</td><td align="center" valign="middle" >11.4 (7.90 - 16.08)</td></tr><tr><td align="center" valign="middle" >Amor et al., 2014</td><td align="center" valign="middle" >Africa</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >159</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >88.05 (81.73 - 92.47)</td></tr><tr><td align="center" valign="middle" >Ndiaye et al., 2013</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross sectional</td><td align="center" valign="middle" >416</td><td align="center" valign="middle" >358,00</td><td align="center" valign="middle" >86.06 (82.27 - 89.16)</td></tr><tr><td align="center" valign="middle" >Fall et al., 2013</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >121</td><td align="center" valign="middle" >73.33 (65.80 - 79.77)</td></tr><tr><td align="center" valign="middle" >Ogouyemi-Hounto et al., 2013</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >212</td><td align="center" valign="middle" >194</td><td align="center" valign="middle" >91.51 (86.70 - 94.75)</td></tr><tr><td align="center" valign="middle" >Moussiliou et al., 2013</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Prospective</td><td align="center" valign="middle" >212</td><td align="center" valign="middle" >187</td><td align="center" valign="middle" >88.20 (82.90 - 92.08)</td></tr><tr><td align="center" valign="middle" >Wurtz et al., 2012</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Longitudinal</td><td align="center" valign="middle" >174</td><td align="center" valign="middle" >131</td><td align="center" valign="middle" >75.29 (68.07 - 81.36)</td></tr><tr><td align="center" valign="middle" >Duah et al., 2012</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >945</td><td align="center" valign="middle" >379</td><td align="center" valign="middle" >40.10 (36.97 - 43.31)</td></tr><tr><td align="center" valign="middle" >Faye et al., 2011</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >480</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >22.70 (19.09 - 26.77)</td></tr><tr><td align="center" valign="middle" >Alam et al., 2011</td><td align="center" valign="middle" >Ghana</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >58.16 (47.76 - 67.91)</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Prevalence of Kelch 13 (K13) mutations conferring resistance to artemisinin in Plasmodium falciparum [<xref ref-type="bibr" rid="scirp.98264-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref47">47</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref52">52</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Authors</th><th align="center" valign="middle" >Countries</th><th align="center" valign="middle" >Type of study</th><th align="center" valign="middle" >Sample (N)</th><th align="center" valign="middle" >K13 mutations</th></tr></thead><tr><td align="center" valign="middle" >Som&#233; et al., 2016</td><td align="center" valign="middle" >Burkina Faso</td><td align="center" valign="middle" >clinical study</td><td align="center" valign="middle" >244</td><td align="center" valign="middle" >C469C (2), Y493Y (1), G496G (1), V589V (1)</td></tr><tr><td align="center" valign="middle" >Ogouyemi-Hounto et al., 2016</td><td align="center" valign="middle" >Benin</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >No detectable polymorphisms</td></tr><tr><td align="center" valign="middle" >Dieye et al., 2016</td><td align="center" valign="middle" >West Africa</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >463</td><td align="center" valign="middle" >No mutations for Kelch 13 (K13)</td></tr><tr><td align="center" valign="middle" >Dorkenoo et al., 2016</td><td align="center" valign="middle" >Togo</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >523</td><td align="center" valign="middle" >K13 propeller domain, only 9 (1.8%) mutations were reported.</td></tr><tr><td align="center" valign="middle" >Boussaroque et al., 2015</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >N554H, Q613H, and V637I in K13 region (5.5%)</td></tr><tr><td align="center" valign="middle" >Taylor et al., 2015</td><td align="center" valign="middle" >Subsaharian Africa</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1100</td><td align="center" valign="middle" >P553L for Kenya (0.53) and Malawi (0.59); 15 coding mutations and 12 novel mutations</td></tr><tr><td align="center" valign="middle" >Torrentino-Madamet et al., 2014</td><td align="center" valign="middle" >Senegal</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >T149S (6.3%) and K189T (42.2%), (N) or two (NN) asparagine insertion at the codon 142 (4.7% and 6.3%, respectively)</td></tr><tr><td align="center" valign="middle" >Issaka et al., 2013</td><td align="center" valign="middle" >Niger</td><td align="center" valign="middle" >Experimental</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >Parasites remained highly susceptible to new (dihydroartemisinin, lumefantrine, pyronaridine, and piperaquine)</td></tr><tr><td align="center" valign="middle" >Ibrahim et al., 2009</td><td align="center" valign="middle" >Niger</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >The pfATPase6S769N, candidate mutation of resistance to artemisinin was not found. However the pfATPsaeA623E mutation was found in 4 % of samples</td></tr><tr><td align="center" valign="middle" >Kaddouri et al., 2008</td><td align="center" valign="middle" >Mali</td><td align="center" valign="middle" >Cross-sectional</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >No decreased susceptibility to dihydroartemisinin or lumefantrine was detected</td></tr></tbody></table></table-wrap><p>are associated with resistance to artemisinin [<xref ref-type="bibr" rid="scirp.98264-ref37">37</xref>]. Taking as reference the list of validated mutations (F446I, N458Y, M476I, Y493H, R539T, I543T, P553L, R561H, C580Y) and candidates (P441l, G449A, C469F, A481V, P527H, N537I, G538V, V5 F673I, A675V) which may be associated with resistance to artemisinin [<xref ref-type="bibr" rid="scirp.98264-ref28">28</xref>], we found that the P553L mutant was present in Kenya (0.53%) and Malawi (5.5%) at fairly low frequencies. Most of the mutations reported in the reviewed publications relate to delayed parasite clearance but are not confirmed to be resistant to artemisinin. Artemisinin, its derivatives and artemisinin-based combinations (ACT) still remain effective as the first line of treatment for malaria in West Africa [<xref ref-type="bibr" rid="scirp.98264-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.98264-ref38">38</xref>].</p></sec><sec id="s4_3"><title>4.3. Meta-Analysis of SP Resistance Data in Plasmodium falciparum</title><p>The first meta-analysis revealed a large disparity (I<sup>2</sup> &gt; 90%) between the studies compared, which would not make the result obtained credible. A second comparison in the absence of certain studies made it possible to obtain better results with low or moderate heterogeneity. Analysis of the bias between the studies considered shows that there is a likely influence of the type of study and prevalence. This bias was minimized during the second comparison. The prevalence of each Dhps (A437G) or Dhfr mutant (N51I, C59R, S108N) is relatively high, unlike that of the triple Dhfr mutation. These data would suggest that SP could still be recommended with caution in the intermittent preventive treatment against malaria in the West African Region. However, the residual risk of increasing malaria could be high in the coming years with the emergence of double, triple, quadruple and quintuple mutations [<xref ref-type="bibr" rid="scirp.98264-ref44">44</xref>].</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>Despite the increasing prevalence of dhfr and dhps mutants in the West African region, SP is still recommended for prevention against malaria in this area. In addition, the emergence of triple, quadruple or quintuple Dhfr/Dhps mutation could in the near future dangerously jeopardize the use of SP for intermittent preventive treatment in West Africa. However, artemisinin, its derivatives and artemisinin-based combinations (ACT) are said to be still effective in West Africa at this time. The challenge of protecting the effectiveness of ACT for this region, is to maintain a high wakefulness level in the monitoring to prevent the rapid onset of possible resistance to artemisinin.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Bazie, V.B., Ouattara, A.K., Sagna, T., Compaore, T.R., Soubeiga, S.T., Sorgho, P.A., Yonli, A.T. and Simpore, J. (2020) Resistance of Plasmodium falciparum to Sulfadoxine-Pyrimethamine (Dhfr and Dhps) and Artemisinin and Its Derivatives (K13): A Major Challenge for Malaria Elimination in West Africa. Journal of Biosciences and Medicines, 8, 82-95. https://doi.org/10.4236/jbm.2020.82007</p></sec></body><back><ref-list><title>References</title><ref id="scirp.98264-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">World Health Organization (2018) World Malaria Report.</mixed-citation></ref><ref id="scirp.98264-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Organisation mondiale de la Santé (2014) Statistiques Sanitaires mondiales.</mixed-citation></ref><ref id="scirp.98264-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">WHO (2017) World Malaria Report 2017.</mixed-citation></ref><ref id="scirp.98264-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Organisation mondiale de la Santé (2017) Résistance aux médicaments antipaludiques.</mixed-citation></ref><ref id="scirp.98264-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Amor, A., Toro, C., Fernandez-Martinez, A., Baquero, M., Benito, A. and Berzosa, P. 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