Identification and validation of a novel panel of Plasmodium knowlesi biomarkers of serological exposure

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] LSHTM Data Compass. 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

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 (Published in a 3rd party system) 14 June 2018
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
5.99125116.1155.95164116.062
Language(s) of written materials English
Funders
ProjectFunderGrant NumberFunder URI
UNSPECIFIEDWellcome Trust091924/Z/10/Z; G1100796; MR/M021157/1;UNSPECIFIED
UNSPECIFIEDMedical Research CouncilUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDDepartment for International DevelopmentUNSPECIFIEDUNSPECIFIED
Depositor Gareth Knight
Date Deposited 20 Jun 2018 15:01
Last Modified 20 Jun 2018 15:01
Publisher PLOS Neglected Tropical Diseases

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