Developing a multivariate prediction model of antibody features associated with protection of malaria-infected pregnant women from placental malaria
Elizabeth H Aitken, Timon Damelang, Amaya Ortega-Pajares, Agersew Alemu, Wina Hasang, Saber Dini, Holger W Unger, Maria Ome-Kaius, Morten A Nielsen, Ali Salanti, Joe Smith, Stephen Kent, P Mark Hogarth, Bruce D Wines, Julie A Simpson, Amy Chung, Stephen J Rogerson
ELIFE | ELIFE SCIENCES PUBLICATIONS LTD | Published : 2021
Background: Plasmodium falciparum causes placental malaria, which results in adverse outcomes for mother and child. P. falciparum-infected erythrocytes that express the parasite protein VAR2CSA on their surface can bind to placental chondroitin sulfate A. It has been hypothesized that naturally acquired antibodies towards VAR2CSA protect against placental infection, but it has proven difficult to identify robust antibody correlates of protection from disease. The objective of this study was to develop a prediction model using antibody features that could identify women protected from placental malaria. Methods: We used a systems serology approach with elastic net-regularized logistic regress..View full abstract
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Awarded by National Health and Medical Research Council
Awarded by Bill and Melinda Gates Foundation
National Health and Medical Research Council APP1143946 Elizabeth H Aitken Amy Chung Stephen J Rogerson National Health and Medical Research Council GNT1145303 P Mark Hogarth Bruce D Wines National Health and Medical Research Council APP1092789 Stephen J Rogerson National Health and Medical Research Council APP1140509 Amy Chung University of Melbourne Amaya Ortega-Pajares Australian Society for Parasitology Elizabeth H Aitken National Health and Medical Research Council APP1104975 Julie A Simpson Bill and Melinda Gates Foundation 46099 Stephen J Rogerson Miller Foundation Australia Amaya Ortega-Pajares The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.