Herman, LS, Fornace, K, Phelan, J, Grigg, MJ, Anstey, NM, William, T, Moon, RW, Blackman, MJ, Drakeley, CJ and Tetteh, KKA. 2018. Identification and validation of a novel panel of Plasmodium knowlesi biomarkers of serological exposure. [Online]. PLOS Neglected Tropical Diseases. Available from: https://doi.org/10.1371/journal.pntd.0006457
Herman, LS, Fornace, K, Phelan, J, Grigg, MJ, Anstey, NM, William, T, Moon, RW, Blackman, MJ, Drakeley, CJ and Tetteh, KKA. Identification and validation of a novel panel of Plasmodium knowlesi biomarkers of serological exposure [Internet]. PLOS Neglected Tropical Diseases; 2018. Available from: https://doi.org/10.1371/journal.pntd.0006457
Herman, LS, Fornace, K, Phelan, J, Grigg, MJ, Anstey, NM, William, T, Moon, RW, Blackman, MJ, Drakeley, CJ and Tetteh, KKA (2018). Identification and validation of a novel panel of Plasmodium knowlesi biomarkers of serological exposure. [Data Collection]. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0006457
Description
Plasmodium knowlesi is the most common cause of malaria in Malaysian Borneo, with reporting limited to clinical cases presenting to health facilities and scarce data on the true extent of transmission. Serological estimations of transmission have been used with other malaria species to garner information about epidemiological patterns. However, there are a distinct lack of suitable serosurveillance tools for this neglected disease.
| Description of data capture | Using in silico tools, we designed and expressed four novel P. knowlesi protein products to address the distinct lack of suitable serosurveillance tools: PkSERA3 antigens 1 and 2, PkSSP2/TRAP and PkTSERA2 antigen 1. Antibody prevalence to these antigens was determined by ELISA for three time-points post-treatment from a hospital-based clinical treatment trial in Sabah, East Malaysia (n = 97 individuals; 241 total samples for all time points). Higher responses were observed for the PkSERA3 antigen 2 (67%, 65/97) across all time-points (day 0: 36.9% 34/92; day 7: 63.8% 46/72; day 28: 58.4% 45/77) with significant differences between the clinical cases and controls (n = 55, mean plus 3 SD) (day 0 p<0.0001; day 7 p<0.0001; day 28 p<0.0001). Using boosted regression trees, we developed models to classify P. knowlesi exposure (cross-validated AUC 88.9%; IQR 86.1-91.3%) and identified the most predictive antibody responses. The PkSERA3 antigen 2 had the highest relative variable importance in all models. Further validation of these antigens is underway to determine the specificity of these tools in the context of multi-species infections at the population level. | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Data capture method | Experiment: Field Intervention | ||||||||
| Date (Date published in a 3rd party system) | 14 June 2018 | ||||||||
| Geographical area covered (offline during plugin upgrade) |
|
||||||||
| Language(s) of written materials | English |
| Data Creators | Herman, LS, Fornace, K, Phelan, J, Grigg, MJ, Anstey, NM, William, T, Moon, RW, Blackman, MJ, Drakeley, CJ and Tetteh, KKA |
|---|---|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Disease Control Faculty of Infectious and Tropical Diseases > Dept of Immunology and Infection Faculty of Infectious and Tropical Diseases > Dept of Pathogen Molecular Biology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
|
|---|
| Date Deposited | 20 Jun 2018 15:01 |
|---|---|
| Last Modified | 27 Apr 2022 18:20 |
| Publisher | PLOS Neglected Tropical Diseases |
