%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Bertin, G. I.
%A Sabbagh, A.
%A Guillonneau, F.
%A Guemouri, Sayeh
%A Ezinmegnon, S.
%A Federici, C.
%A Hounkpatin, B.
%A Fievet, Nadine
%A Deloron, Philippe
%T Differential protein expression profiles between plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin
%D 2013
%L fdi:010061336
%G ENG
%J Journal of Infectious Diseases
%@ 0022-1899
%K mass spectrometry ; Plasmodium falciparum ; pregnancy-associated malaria ; field isolate ; protein identification ; protein abundance
%K BENIN
%M ISI:000327544600009
%N 12
%P 1987-1997
%R 10.1093/infdis/jit377
%U https://www.documentation.ird.fr/hor/fdi:010061336
%> https://www.documentation.ird.fr/intranet/publi/2013/12/010061336.pdf
%V 208
%W Horizon (IRD)
%X 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.
%$ 052 ; 050