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

Details

• Alternative Title:
  Sci Rep
• Personal Author:
  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
• Description:
  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.
• Subjects:
  Article Infectious-disease Diagnostics Malaria Parasite Host Response
• Source:
  Sci Rep. 10
• Pubmed ID:
  31980693
• Pubmed Central ID:
  PMC6981173
• Document Type:
  Journal Article
• Volume:
  10
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:a40cf1e66bacb9ae686073f98e83e710e165ed3fd6ca5c7de8939a7200209402
• Download URL:
  https://stacks.cdc.gov/view/cdc/87594/cdc_87594_DS1.pdf
• File Type:
  [PDF - 2.35 MB ]