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). e21826. pp. 1-6.
|
PDF (Published Version)
- Published Version
Available under License Creative Commons Public Domain Dedication. Download (572kB) | Preview |
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-naïve 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.
Item ID: | 41452 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 1932-6203 |
Funders: | United States Army Medical Research and Material Command (USAMRMC) |
Projects and Grants: | USAMRMC 6000.RAD1.F.A030 |
Date Deposited: | 11 Feb 2016 03:40 |
FoR Codes: | 11 MEDICAL AND HEALTH SCIENCES > 1107 Immunology > 110799 Immunology not elsewhere classified @ 100% |
SEO Codes: | 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 100% |
Downloads: |
Total: 1002 Last 12 Months: 11 |
More Statistics |