Antibody Profiling by Proteome Microarray with Multiplex Isotype Detection Reveals Overlap between Human and Aotus nancymaae Controlled Malaria Infections.

Published

Journal Article

The development of vaccines against malaria and serodiagnostic tests for detecting recent exposure requires tools for antigen discovery and suitable animal models. The protein microarray is a high-throughput, sample sparing technique, with applications in infectious disease research, clinical diagnostics, epidemiology, and vaccine development. We recently demonstrated Qdot-based indirect immunofluorescence together with portable optical imager ArrayCAM using single isotype detection could replicate data using the conventional laser confocal scanner system. We developed a multiplexing protocol for simultaneous detection of IgG, IgA, and IgM and compared samples from a controlled human malaria infection model with those from controlled malaria infections of Aotus nancymaae, a widely used non-human primate model of human malaria. IgG profiles showed the highest concordance in number of reactive antigens; thus, of the 139 antigens recognized by human IgG antibody, 111 were also recognized by Aotus monkeys. Interestingly, IgA profiles were largely non-overlapping. Finally, on the path toward wider deployment of the portable platform, we show excellent correlations between array data obtained in five independent laboratories around the United States using the multiplexing protocol (R2 : 0.60-0.92). This study supports the use of this platform for wider deployment, particularly in endemic areas where such a tool will have the greatest impact on global human health.

Full Text

Duke Authors

Cited Authors

  • Taghavian, O; Jain, A; Joyner, CJ; Ketchum, S; Nakajima, R; Jasinskas, A; Liang, L; Fong, R; King, C; Greenhouse, B; Murphy, M; Bailey, J; Galinski, MR; Barnwell, JW; Plowe, CV; Davies, DH; Felgner, PL

Published Date

  • January 2018

Published In

Volume / Issue

  • 18 / 2

PubMed ID

  • 29266845

Pubmed Central ID

  • 29266845

Electronic International Standard Serial Number (EISSN)

  • 1615-9861

International Standard Serial Number (ISSN)

  • 1615-9853

Digital Object Identifier (DOI)

  • 10.1002/pmic.201700277

Language

  • eng