Bertin G. I., Sabbagh A., Guillonneau F., Guemouri Sayeh, Ezinmegnon S., Federici C., Hounkpatin B., Fievet Nadine, Deloron Philippe. (2013). Differential protein expression profiles between plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin. Journal of Infectious Diseases, 208 (12), p. 1987-1997. ISSN 0022-1899.
Titre du document
Differential protein expression profiles between plasmodium falciparum parasites isolated from subjects presenting with pregnancy-associated malaria and uncomplicated malaria in Benin
Année de publication
2013
Auteurs
Bertin G. I., Sabbagh A., Guillonneau F., Guemouri Sayeh, Ezinmegnon S., Federici C., Hounkpatin B., Fievet Nadine, Deloron Philippe
Source
Journal of Infectious Diseases, 2013,
208 (12), p. 1987-1997 ISSN 0022-1899
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.
Plan de classement
Santé : généralités [050]
;
Entomologie médicale / Parasitologie / Virologie [052]
Description Géographique
BENIN
Localisation
Fonds IRD [F B010061336] ;
Montpellier (Centre IRD)
Identifiant IRD
fdi:010061336
