Differential Protein Expression Profiles Between Plasmodium falciparum Parasites Isolated From Subjects Presenting With Pregnancy-Associated Malaria and Uncomplicated Malaria in Benin

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...

Full description

Saved in:
Bibliographic Details
Published inThe Journal of infectious diseases Vol. 208; no. 12; pp. 1987 - 1997
Main Authors Bertin, Gwladys I., Sabbagh, Audrey, Guillonneau, François, Jafari-Guemouri, Sayeh, Ezinmegnon, Sem, Federici, Christian, Hounkpatin, Benjamin, Fievet, Nadine, Deloron, Philippe
Format Journal Article
LanguageEnglish
Published Oxford Oxford University Press 15.12.2013
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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 providing new insights for the definition of potential new targets for a vaccine against PAM.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0022-1899
1537-6613
1537-6613
DOI:10.1093/infdis/jit377