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.
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.
Entities:
Keywords:
Plasmodium falciparum; field isolate; mass spectrometry; pregnancy-associated malaria; protein abundance; protein identification
Authors: Gladys J Keitany; Bethany J Jenkins; Harold T Obiakor; Shaji Daniel; Atis Muehlenbachs; Jean-Philippe Semblat; Benoit Gamain; Justin Y A Doritchamou; Sanjay A Desai; Nicholas J MacDonald; David L Narum; Robert Morrison; Tracy Saveria; Marissa Vignali; Andrew V Oleinikov; Michal Fried; Patrick E Duffy Journal: J Infect Dis Date: 2022-06-01 Impact factor: 7.759
Authors: Andreas Hohn; Ivan Iovino; Fabrizio Cirillo; Hendrik Drinhaus; Kathrin Kleinbrahm; Lennert Boehm; Edoardo De Robertis; Jochen Hinkelbein Journal: Biomed Res Int Date: 2018-03-21 Impact factor: 3.411