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      <source-app name="Horizon">Horizon</source-app>
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      <ref-type name="Journal Article">17</ref-type>
      <work-type>ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES</work-type>
      <contributors>
        <authors>
          <author>
            <style face="normal" font="default" size="100%">Bertin, G. I.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Sabbagh, A.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Guillonneau, F.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Guemouri, Sayeh</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Ezinmegnon, S.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Federici, C.</style>
          </author>
          <author>
            <style face="normal" font="default" size="100%">Hounkpatin, B.</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Fievet, Nadine</style>
          </author>
          <author>
            <style face="bold" font="default" size="100%">Deloron, Philippe</style>
          </author>
        </authors>
      </contributors>
      <titles>
        <title>Differential protein expression profiles between plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin</title>
        <secondary-title>Journal of Infectious Diseases</secondary-title>
      </titles>
      <pages>1987-1997</pages>
      <keywords>
        <keyword>mass spectrometry</keyword>
        <keyword>Plasmodium falciparum</keyword>
        <keyword>pregnancy-associated malaria</keyword>
        <keyword>field isolate</keyword>
        <keyword>protein identification</keyword>
        <keyword>protein abundance</keyword>
        <keyword>BENIN</keyword>
      </keywords>
      <dates>
        <year>2013</year>
      </dates>
      <call-num>fdi:010061336</call-num>
      <language>ENG</language>
      <periodical>
        <full-title>Journal of Infectious Diseases</full-title>
      </periodical>
      <isbn>0022-1899</isbn>
      <accession-num>ISI:000327544600009</accession-num>
      <number>12</number>
      <electronic-resource-num>10.1093/infdis/jit377</electronic-resource-num>
      <urls>
        <related-urls>
          <url>https://www.documentation.ird.fr/hor/fdi:010061336</url>
        </related-urls>
        <pdf-urls>
          <url>https://www.documentation.ird.fr/intranet/publi/2013/12/010061336.pdf</url>
        </pdf-urls>
      </urls>
      <volume>208</volume>
      <remote-database-provider>Horizon (IRD)</remote-database-provider>
      <abstract>Background. Plasmodium falciparum is responsible for severe malaria, including pregnancy-associated malaria (PAM). During intra-erythrocytic maturation, the infected erythrocyte (iE) membrane is modified by insertion of parasite-derived proteins, primarily consisting of variant surface antigens such as P. falciparum erythrocyte membrane protein-1. Methods. To identify new PAM-specific parasite membrane proteins, we conducted a mass spectrometry-based proteomic study and compared the protein expression profiles of 10 PAM and 10 uncomplicated malaria (UM) samples. Results. We focused on the 454/1139 membrane-associated and hypothetical proteins for comparative analysis. Using filter-based feature-selection methods combined with supervised data analysis, we identified a subset of 53 proteins that distinguished PAM and UM samples. Up to 19/20 samples were correctly assigned to their respective clinical group. A hierarchical clustering analysis of these 53 proteins based on the similarity of their expression profiles revealed 2 main clusters of 40 and 13 proteins that were under-or over-expressed, respectively, in PAM. Conclusions. VAR2CSA is identified and associated with PAM, validating our experimental approach. Other PAM-predictive proteins included PFI1785w, PF14_0018, PFB0115w, PFF0325c, and PFA_0410w. These proteomics data demonstrate the involvement of selected proteins in the pathophysiology of PAM, providing new insights for the definition of potential new targets for a vaccine against PAM.</abstract>
      <custom6>052 ; 050</custom6>
      <custom1>UR216</custom1>
      <custom7>Bénin</custom7>
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