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PftetQ and pfmdt copy numbers as predictive molecular markers of decreased ex vivo doxycycline susceptibility in imported Plasmodium falciparum malaria

Identifieur interne : 000162 ( Pmc/Curation ); précédent : 000161; suivant : 000163

PftetQ and pfmdt copy numbers as predictive molecular markers of decreased ex vivo doxycycline susceptibility in imported Plasmodium falciparum malaria

Auteurs : Tiphaine Gaillard [France] ; Sébastien Briolant [France] ; Sandrine Houzé [France] ; Meïli Baragatti [France] ; Nathalie Wurtz [France] ; Véronique Hubert [France] ; Morgane Lavina [France] ; Aurélie Pascual [France] ; Christelle Travaillé [France] ; Jacques Le Bras [France] ; Bruno Pradines [France]

Source :

RBID : PMC:3831056

Abstract

Background

The objective of this study was to evaluate the distribution of a series of independent doxycycline inhibitory concentration 50% (IC50) values to validate the trimodal distribution previously described and to validate the use of the pftetQ and pfmdt genes as molecular markers of decreased in vitro doxycycline susceptibility in Plasmodium falciparum malaria.

Methods

Doxycycline IC50 values, from 484 isolates obtained at the French National Reference Centre for Imported Malaria (Paris) between January 2006 and December 2010, were analysed for the first time by a Bayesian mixture modelling approach to distinguish the different in vitro phenotypic groups by their IC50 values. Quantitative real-time polymerase chain reaction was used to evaluate the pftetQ and pfmdt copy numbers of 89 African P. falciparum isolates that were randomly chosen from the phenotypic groups.

Results

The existence of at least three doxycycline phenotypes was demonstrated. The mean doxycycline IC50 was significantly higher in the group with a pftetQ copy number >1 compared to the group with a pftetQ copy number = 1 (33.17 μM versus 17.23 μM) and the group with a pfmdt copy number >1 (28.28 μM versus 16.11 μM). There was a significant difference between the combined low and medium doxycycline IC50 group and the high IC50 group in terms of the per cent of isolates with one or more copy numbers of the pftetQ gene (0% versus 20.69%) or pfmdt gene (8.33% versus 37.93%). In the logistic regression model, the pfmdt and pftetQ copy numbers >1 (odds ratio = 4.65 and 11.47) were independently associated with the high IC50 group.

Conclusions

Copy numbers of pftetQ and pfmdt are potential predictive molecular markers of decreased susceptibility to doxycycline.


Url:
DOI: 10.1186/1475-2875-12-414
PubMed: 24225377
PubMed Central: 3831056

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PMC:3831056

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<title xml:lang="en" level="a" type="main">PftetQ and pfmdt copy numbers as predictive molecular markers of decreased ex vivo doxycycline susceptibility in imported Plasmodium falciparum malaria</title>
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<name sortKey="Gaillard, Tiphaine" sort="Gaillard, Tiphaine" uniqKey="Gaillard T" first="Tiphaine" last="Gaillard">Tiphaine Gaillard</name>
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<affiliation wicri:level="1">
<nlm:aff id="I3">Fédération des Laboratoires, Hôpital d’Instruction des Armées Saint Anne, Toulon, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Fédération des Laboratoires, Hôpital d’Instruction des Armées Saint Anne, Toulon</wicri:regionArea>
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<name sortKey="Briolant, Sebastien" sort="Briolant, Sebastien" uniqKey="Briolant S" first="Sébastien" last="Briolant">Sébastien Briolant</name>
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<nlm:aff id="I1">Unité de Parasitologie, Institut de Recherche Biomédicale des Armées, Marseille, France</nlm:aff>
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<name sortKey="Houze, Sandrine" sort="Houze, Sandrine" uniqKey="Houze S" first="Sandrine" last="Houzé">Sandrine Houzé</name>
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<country xml:lang="fr">France</country>
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<wicri:regionArea>Centre National de Référence du Paludisme, Paris</wicri:regionArea>
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<name sortKey="Travaille, Christelle" sort="Travaille, Christelle" uniqKey="Travaille C" first="Christelle" last="Travaillé">Christelle Travaillé</name>
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<nlm:aff id="I8">Unité de Recherche Mixte MD3, Institut de Recherche Biomédicale des Armées, Marseille, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Unité de Recherche Mixte MD3, Institut de Recherche Biomédicale des Armées, Marseille</wicri:regionArea>
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<name sortKey="Le Bras, Jacques" sort="Le Bras, Jacques" uniqKey="Le Bras J" first="Jacques" last="Le Bras">Jacques Le Bras</name>
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<nlm:aff id="I4">Laboratoire de Parasitologie-Mycologie, Hôpital Bichat-Claude Bernard, Paris, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Laboratoire de Parasitologie-Mycologie, Hôpital Bichat-Claude Bernard, Paris</wicri:regionArea>
</affiliation>
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<nlm:aff id="I5">Unité Mixte de Recherche 216 IRD, Université Paris Descartes, Paris, France</nlm:aff>
<country xml:lang="fr">France</country>
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</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="I6">Centre National de Référence du Paludisme, Paris, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Centre National de Référence du Paludisme, Paris</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Pradines, Bruno" sort="Pradines, Bruno" uniqKey="Pradines B" first="Bruno" last="Pradines">Bruno Pradines</name>
<affiliation wicri:level="1">
<nlm:aff id="I1">Unité de Parasitologie, Institut de Recherche Biomédicale des Armées, Marseille, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Unité de Parasitologie, Institut de Recherche Biomédicale des Armées, Marseille</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="I2">Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Aix Marseille Université, Marseille, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Aix Marseille Université, Marseille</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="I6">Centre National de Référence du Paludisme, Paris, France</nlm:aff>
<country xml:lang="fr">France</country>
<wicri:regionArea>Centre National de Référence du Paludisme, Paris</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Malaria Journal</title>
<idno type="eISSN">1475-2875</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>The objective of this study was to evaluate the distribution of a series of independent doxycycline inhibitory concentration 50% (IC
<sub>50</sub>
) values to validate the trimodal distribution previously described and to validate the use of the
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
genes as molecular markers of decreased
<italic>in vitro</italic>
doxycycline susceptibility in
<italic>Plasmodium falciparum</italic>
malaria.</p>
</sec>
<sec>
<title>Methods</title>
<p>Doxycycline IC
<sub>50</sub>
values, from 484 isolates obtained at the French National Reference Centre for Imported Malaria (Paris) between January 2006 and December 2010, were analysed for the first time by a Bayesian mixture modelling approach to distinguish the different
<italic>in vitro</italic>
phenotypic groups by their IC
<sub>50</sub>
values. Quantitative real-time polymerase chain reaction was used to evaluate the
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
copy numbers of 89 African
<italic>P. falciparum</italic>
isolates that were randomly chosen from the phenotypic groups.</p>
</sec>
<sec>
<title>Results</title>
<p>The existence of at least three doxycycline phenotypes was demonstrated. The mean doxycycline IC
<sub>50</sub>
was significantly higher in the group with a
<italic>pftetQ</italic>
copy number >1 compared to the group with a
<italic>pftetQ</italic>
copy number = 1 (33.17 μM
<italic>versus</italic>
17.23 μM) and the group with a
<italic>pfmdt</italic>
copy number >1 (28.28 μM
<italic>versus</italic>
16.11 μM). There was a significant difference between the combined low and medium doxycycline IC
<sub>50</sub>
group and the high IC
<sub>50</sub>
group in terms of the per cent of isolates with one or more copy numbers of the
<italic>pftetQ</italic>
gene (0%
<italic>versus</italic>
20.69%) or
<italic>pfmdt</italic>
gene (8.33%
<italic>versus</italic>
37.93%). In the logistic regression model, the
<italic>pfmdt</italic>
and
<italic>pftetQ</italic>
copy numbers >1 (odds ratio = 4.65 and 11.47) were independently associated with the high IC
<sub>50</sub>
group.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Copy numbers of
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
are potential predictive molecular markers of decreased susceptibility to doxycycline.</p>
</sec>
</div>
</front>
<back>
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</author>
<author>
<name sortKey="Mosnier, J" uniqKey="Mosnier J">J Mosnier</name>
</author>
<author>
<name sortKey="Daries, W" uniqKey="Daries W">W Daries</name>
</author>
<author>
<name sortKey="Barret, E" uniqKey="Barret E">E Barret</name>
</author>
<author>
<name sortKey="Parzy, D" uniqKey="Parzy D">D Parzy</name>
</author>
</analytic>
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<analytic>
<author>
<name sortKey="Sibley, Ch" uniqKey="Sibley C">CH Sibley</name>
</author>
<author>
<name sortKey="Barnes, Ki" uniqKey="Barnes K">KI Barnes</name>
</author>
<author>
<name sortKey="Watkins, Wm" uniqKey="Watkins W">WM Watkins</name>
</author>
<author>
<name sortKey="Plowe, Cv" uniqKey="Plowe C">CV Plowe</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gaillard, T" uniqKey="Gaillard T">T Gaillard</name>
</author>
<author>
<name sortKey="Fall, B" uniqKey="Fall B">B Fall</name>
</author>
<author>
<name sortKey="Tall, A" uniqKey="Tall A">A Tall</name>
</author>
<author>
<name sortKey="Wurtz, N" uniqKey="Wurtz N">N Wurtz</name>
</author>
<author>
<name sortKey="Diatta, B" uniqKey="Diatta B">B Diatta</name>
</author>
<author>
<name sortKey="Lavina, M" uniqKey="Lavina M">M Lavina</name>
</author>
<author>
<name sortKey="Fall, Kb" uniqKey="Fall K">KB Fall</name>
</author>
<author>
<name sortKey="Sarr, Fd" uniqKey="Sarr F">FD Sarr</name>
</author>
<author>
<name sortKey="Baret, E" uniqKey="Baret E">E Baret</name>
</author>
<author>
<name sortKey="Dieme, Y" uniqKey="Dieme Y">Y Diémé</name>
</author>
<author>
<name sortKey="Wade, B" uniqKey="Wade B">B Wade</name>
</author>
<author>
<name sortKey="Bercion, R" uniqKey="Bercion R">R Bercion</name>
</author>
<author>
<name sortKey="Briolant, S" uniqKey="Briolant S">S Briolant</name>
</author>
<author>
<name sortKey="Pradines, B" uniqKey="Pradines B">B Pradines</name>
</author>
</analytic>
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</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article" xml:lang="en">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Malar J</journal-id>
<journal-id journal-id-type="iso-abbrev">Malar. J</journal-id>
<journal-title-group>
<journal-title>Malaria Journal</journal-title>
</journal-title-group>
<issn pub-type="epub">1475-2875</issn>
<publisher>
<publisher-name>BioMed Central</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">24225377</article-id>
<article-id pub-id-type="pmc">3831056</article-id>
<article-id pub-id-type="publisher-id">1475-2875-12-414</article-id>
<article-id pub-id-type="doi">10.1186/1475-2875-12-414</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>PftetQ and pfmdt copy numbers as predictive molecular markers of decreased ex vivo doxycycline susceptibility in imported Plasmodium falciparum malaria</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" id="A1">
<name>
<surname>Gaillard</surname>
<given-names>Tiphaine</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I3">3</xref>
<email>tiphaine.rousselgaillard@gmail.com</email>
</contrib>
<contrib contrib-type="author" id="A2">
<name>
<surname>Briolant</surname>
<given-names>Sébastien</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<email>sbriolant@wanadoo.fr</email>
</contrib>
<contrib contrib-type="author" id="A3">
<name>
<surname>Houzé</surname>
<given-names>Sandrine</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<xref ref-type="aff" rid="I5">5</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>sandrine.houze@bch.aphp.fr</email>
</contrib>
<contrib contrib-type="author" id="A4">
<name>
<surname>Baragatti</surname>
<given-names>Meïli</given-names>
</name>
<xref ref-type="aff" rid="I7">7</xref>
<email>Meili.baragatti@supagro.inra.fr</email>
</contrib>
<contrib contrib-type="author" id="A5">
<name>
<surname>Wurtz</surname>
<given-names>Nathalie</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<email>nathalie_wurtz@yahoo.fr</email>
</contrib>
<contrib contrib-type="author" id="A6">
<name>
<surname>Hubert</surname>
<given-names>Véronique</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>hubevero@yahoo.fr</email>
</contrib>
<contrib contrib-type="author" id="A7">
<name>
<surname>Lavina</surname>
<given-names>Morgane</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<email>morgane.lavina@laposte.net</email>
</contrib>
<contrib contrib-type="author" id="A8">
<name>
<surname>Pascual</surname>
<given-names>Aurélie</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>aureliepascual@hotmail.com</email>
</contrib>
<contrib contrib-type="author" id="A9">
<name>
<surname>Travaillé</surname>
<given-names>Christelle</given-names>
</name>
<xref ref-type="aff" rid="I8">8</xref>
<email>christelletravaille@hotmail.fr</email>
</contrib>
<contrib contrib-type="author" id="A10">
<name>
<surname>Le Bras</surname>
<given-names>Jacques</given-names>
</name>
<xref ref-type="aff" rid="I4">4</xref>
<xref ref-type="aff" rid="I5">5</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>jacques.lebras@gmail.com</email>
</contrib>
<contrib contrib-type="author" corresp="yes" id="A11">
<name>
<surname>Pradines</surname>
<given-names>Bruno</given-names>
</name>
<xref ref-type="aff" rid="I1">1</xref>
<xref ref-type="aff" rid="I2">2</xref>
<xref ref-type="aff" rid="I6">6</xref>
<email>bruno.pradines@free.fr</email>
</contrib>
<on-behalf-of>The French National Reference Centre for Imported Malaria Study Group
<xref ref-type="corresp" rid="d33e117"></xref>
</on-behalf-of>
</contrib-group>
<aff id="I1">
<label>1</label>
Unité de Parasitologie, Institut de Recherche Biomédicale des Armées, Marseille, France</aff>
<aff id="I2">
<label>2</label>
Unité de Recherche sur les Maladies Infectieuses et Tropicales Emergentes, UM 63, CNRS 7278, IRD 198, Inserm 1095, Aix Marseille Université, Marseille, France</aff>
<aff id="I3">
<label>3</label>
Fédération des Laboratoires, Hôpital d’Instruction des Armées Saint Anne, Toulon, France</aff>
<aff id="I4">
<label>4</label>
Laboratoire de Parasitologie-Mycologie, Hôpital Bichat-Claude Bernard, Paris, France</aff>
<aff id="I5">
<label>5</label>
Unité Mixte de Recherche 216 IRD, Université Paris Descartes, Paris, France</aff>
<aff id="I6">
<label>6</label>
Centre National de Référence du Paludisme, Paris, France</aff>
<aff id="I7">
<label>7</label>
Unité de Recherche Mixte Sup-Agro-Inra MISTEA, SupAgro, Montpellier, France</aff>
<aff id="I8">
<label>8</label>
Unité de Recherche Mixte MD3, Institut de Recherche Biomédicale des Armées, Marseille, France</aff>
<author-notes>
<corresp id="d33e117">The French National Reference Centre for Imported Malaria Study Group</corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2013</year>
</pub-date>
<volume>12</volume>
<fpage>414</fpage>
<lpage>414</lpage>
<history>
<date date-type="received">
<day>2</day>
<month>7</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>11</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2013 Gaillard et al.; licensee BioMed Central Ltd.</copyright-statement>
<copyright-year>2013</copyright-year>
<copyright-holder>Gaillard et al.; licensee BioMed Central Ltd.</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0">
<license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.malariajournal.com/content/12/1/414"></self-uri>
<abstract>
<sec>
<title>Background</title>
<p>The objective of this study was to evaluate the distribution of a series of independent doxycycline inhibitory concentration 50% (IC
<sub>50</sub>
) values to validate the trimodal distribution previously described and to validate the use of the
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
genes as molecular markers of decreased
<italic>in vitro</italic>
doxycycline susceptibility in
<italic>Plasmodium falciparum</italic>
malaria.</p>
</sec>
<sec>
<title>Methods</title>
<p>Doxycycline IC
<sub>50</sub>
values, from 484 isolates obtained at the French National Reference Centre for Imported Malaria (Paris) between January 2006 and December 2010, were analysed for the first time by a Bayesian mixture modelling approach to distinguish the different
<italic>in vitro</italic>
phenotypic groups by their IC
<sub>50</sub>
values. Quantitative real-time polymerase chain reaction was used to evaluate the
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
copy numbers of 89 African
<italic>P. falciparum</italic>
isolates that were randomly chosen from the phenotypic groups.</p>
</sec>
<sec>
<title>Results</title>
<p>The existence of at least three doxycycline phenotypes was demonstrated. The mean doxycycline IC
<sub>50</sub>
was significantly higher in the group with a
<italic>pftetQ</italic>
copy number >1 compared to the group with a
<italic>pftetQ</italic>
copy number = 1 (33.17 μM
<italic>versus</italic>
17.23 μM) and the group with a
<italic>pfmdt</italic>
copy number >1 (28.28 μM
<italic>versus</italic>
16.11 μM). There was a significant difference between the combined low and medium doxycycline IC
<sub>50</sub>
group and the high IC
<sub>50</sub>
group in terms of the per cent of isolates with one or more copy numbers of the
<italic>pftetQ</italic>
gene (0%
<italic>versus</italic>
20.69%) or
<italic>pfmdt</italic>
gene (8.33%
<italic>versus</italic>
37.93%). In the logistic regression model, the
<italic>pfmdt</italic>
and
<italic>pftetQ</italic>
copy numbers >1 (odds ratio = 4.65 and 11.47) were independently associated with the high IC
<sub>50</sub>
group.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Copy numbers of
<italic>pftetQ</italic>
and
<italic>pfmdt</italic>
are potential predictive molecular markers of decreased susceptibility to doxycycline.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Malaria</kwd>
<kwd>
<italic>Plasmodium falciparum</italic>
</kwd>
<kwd>Anti-malarial</kwd>
<kwd>
<italic>In vitro</italic>
</kwd>
<kwd>Resistance</kwd>
<kwd>Molecular marker</kwd>
<kwd>Doxycycline</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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