Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti

van den Hoogen, Lotus L.; Présumé, Jacquelin; Romilus, Ithamare; Mondélus, Gina; Elismé, Tamara; Sepúlveda, Nuno; Stresman, Gillian; Druetz, Thomas; Ashton, Ruth A.; Joseph, Vena; Eisele, Thomas P.; Hamre, Karen E. S.; Chang, Michelle A.; Lemoine, Jean F.; Tetteh, Kevin K. A.; Boncy, Jacques; Existe, Alexandre; Drakeley, Chris; Rogier, Eric

Measuring antimalarial antibodies can estimate transmission in a population. To compare outputs, standardized laboratory testing is required. Here we describe the in-country establishment and quality control (QC) of a multiplex bead assay (MBA) for three sero-surveys in Haiti. Total IgG data against 21 antigens were collected for 32,758 participants. Titration curves of hyperimmune sera were included on assay plates, assay signals underwent 5-parameter regression, and inspection of the median and interquartile range (IQR) for the y-inflection point was used to determine assay precision. The medians and IQRs were similar for Surveys 1 and 2 for most antigens, while the IQRs increased for some antigens in Survey 3. Levey-Jennings charts for selected antigens provided a pass/fail criterion for each assay plate and, of 387 assay plates, 13 (3.4%) were repeated. Individual samples failed if IgG binding to the generic glutathione-S-transferase protein was observed, with 659 (2.0%) samples failing. An additional 455 (1.4%) observations failed due to low bead numbers (<20/analyte). The final dataset included 609,438 anti-malaria IgG data points from 32,099 participants; 96.6% of all potential data points if no QC failures had occurred. The MBA can be deployed with high-throughput data collection and low inter-plate variability while ensuring data quality.