| Autor: |
Proietti, Carla, Krause, Lutz, Trieu, Angela, Dodoo, Daniel, Gyan, Ben, Koram, Kwadwo A., Rogers, William O., Richie, Thomas L., Crompton, Peter D., Felgner, Philip L., Doolan, Denise L. |
| Zdroj: |
Molecular and Cellular Proteomics (MCP Online); January 2020, Vol. 19 Issue: 1 p101-113, 13p |
| Abstrakt: |
We have established a predictive modelling framework to systematically analyze IgG antibody responses against a large panel of P. falciparum-specific antigens and identify a predictive signature of naturally acquired immunity to malaria. Our results show that an individual's immune status can be accurately predicted by measuring IgG antibody responses to a parsimonious set of 15 target antigens. The identified immune signature is highly versatile and capable of providing precise and accurate estimates of clinical protection from malaria in demographically distinct populations. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
