Toward a surrogate marker of malaria exposure: Modeling longitudinal antibody measurements under outbreak conditions

Campo, Joseph J., Whitman, Timothy J., Freilich, Daniel, Burgess, Timothy H., Martin, Gregory J. and Doolan, Denise L. (2011) Toward a surrogate marker of malaria exposure: Modeling longitudinal antibody measurements under outbreak conditions. PLoS One, 6 7: 1-6. doi:10.1371/journal.pone.0021826


Author Campo, Joseph J.
Whitman, Timothy J.
Freilich, Daniel
Burgess, Timothy H.
Martin, Gregory J.
Doolan, Denise L.
Title Toward a surrogate marker of malaria exposure: Modeling longitudinal antibody measurements under outbreak conditions
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2011-07-01
Sub-type Article (original research)
DOI 10.1371/journal.pone.0021826
Open Access Status DOI
Volume 6
Issue 7
Start page 1
End page 6
Total pages 6
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Collection year 2012
Language eng
Formatted abstract
Background: Biomarkers of exposure to Plasmodium falciparum would be a useful tool for the assessment of malaria burden and analysis of intervention and epidemiological studies. Antibodies to pre-erythrocytic antigens represent potential surrogates of exposure.

Methods and Findings: In an outbreak cohort of U.S. Marines deployed to Liberia, we modeled pre- and post-deployment IgG against P. falciparum sporozoites by immunofluorescence antibody test, and both IgG and IgM against the P. falciparum circumsporozoite protein by enzyme-linked immunosorbant assay. Modeling seroconversion thresholds by a fixed ratio, linear regression or nonlinear regression produced sensitivity for identification of exposed U.S. Marines between 58–70% and specificities between 87–97%, compared with malaria-na─▒¨ve U.S. volunteers. Exposure was predicted in 30–45% of the cohort.

Conclusion: Each of the three models tested has merits in different studies, but further development and validation in endemic populations is required. Overall, these models provide support for an antibody-based surrogate marker of exposure to malaria.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Medicine Publications
 
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