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[ Article ] Differential protein expression profiles between Plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin

Date de soumission: 17-02-2018
Année de Publication: 2013
Entité/Laboratoire Unité de Gynécologie Obstétrique
Document type : Article
Discipline(s) : Médécine de la reproduction ( Gynécologie, Andrologie, obstétique)
Titre Differential protein expression profiles between Plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin
Auteurs BERTIN GWLADYS [1], Sabbagh Audrey [2], JAFARI-GUEMOURI SAYEH [3], EZINMEGNON SEM [4], FEDERICI CHRISTIAN [5], HOUNKPATIN BENJAMIN IGNACE BODOUNRIN [6],
Journal: JID
Catégorie Journal: Internationale
Impact factor: 6.273
Volume Journal: 208
DOI: 10.1093/infdis/jit377
Resume 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.
Mots clés mass spectrometry; Plasmodium falciparum; pregnancy-associated malaria; field isolate; protein identification; protein abundance.
Pages 1987 - 1997
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