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Deletion of a Malaria Invasion Gene Reduces Death and Anemia, in Model Hosts

Overview of attention for article published in PLOS ONE, September 2011
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Title
Deletion of a Malaria Invasion Gene Reduces Death and Anemia, in Model Hosts
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025477
Pubmed ID
Authors

Noé D. Gómez, Innocent Safeukui, Aanuoluwa A. Adelani, Rita Tewari, Janardan K. Reddy, Sam Rao, Anthony Holder, Pierre Buffet, Narla Mohandas, Kasturi Haldar

Abstract

Malaria parasites induce complex cellular and clinical phenotypes, including anemia, cerebral malaria and death in a wide range of mammalian hosts. Host genes and parasite 'toxins' have been implicated in malarial disease, but the contribution of parasite genes remains to be fully defined. Here we assess disease in BALB/c mice and Wistar rats infected by the rodent malaria parasite Plasmodium berghei with a gene knock out for merozoite surface protein (MSP) 7. MSP7 is not essential for infection but in P. falciparum, it enhances erythrocyte invasion by 20%. In vivo, as compared to wild type, the P. berghei Δmsp7 mutant is associated with an abrogation of death and a decrease from 3% to 2% in peak, circulating parasitemia. The Δmsp7 mutant is also associated with less anemia and modest increase in the size of follicles in the spleen. Together these data show that deletion of a single parasite invasion ligand modulates blood stage disease, as measured by death and anemia. This work is the first to assess the contribution of a gene present in all plasmodial species in severe disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Pakistan 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 8 22%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Professor 3 8%
Other 4 11%
Unknown 7 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 35%
Biochemistry, Genetics and Molecular Biology 6 16%
Immunology and Microbiology 4 11%
Veterinary Science and Veterinary Medicine 2 5%
Computer Science 2 5%
Other 4 11%
Unknown 6 16%