Developing a multivariate prediction model of antibody features associated with protection of malaria-infected pregnant women from placental malaria.

ABSTRACT:

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 regression, partial least squares discriminant analysis, and a case-control stud

SUBMITTER: Aitken EH 

PROVIDER: S-EPMC8241440 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature