Quantitative assessment of multiple pathogen exposure and immune dynamics at scale

Lusheng Song, Femina Rauf, Ching Wen Hou, Ji Qiu, Vel Murugan, Yunro Chung, Huafang Lai, Deborah Adam, D. Mitchell Magee, Guillermo Trivino Soto, Milene Peterson, Karen S. Anderson, Stephen G. Rice, Benjamin Readhead, Jin G. Park, Joshua LaBaer

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

IMPORTANCE: Serology reveals exposure to pathogens, as well as the state of autoimmune and other clinical conditions. It is used to evaluate individuals and their histories and as a public health tool to track epidemics. Employing a variety of formats, studies nearly always perform serology by testing response to only one or a few antigens. However, clinical outcomes of new infections also depend on which previous infections may have occurred. We developed a high-throughput serology method that evaluates responses to hundreds of antigens simultaneously. It can be used to evaluate thousands of samples at a time and provide a quantitative readout. This tool will enable doctors to monitor which pathogens an individual has been exposed to and how that changes in the future. Moreover, public health officials could track populations and look for infectious trends among large populations. Testing many potential antigens at a time may also aid in vaccine development.

Original languageEnglish (US)
Pages (from-to)e0239923
JournalMicrobiology Spectrum
Volume12
Issue number1
DOIs
StatePublished - Jan 11 2024

Keywords

  • human microbiome
  • immunoassays
  • immunoserology
  • infectious disease surveillance
  • molecular diagnosis
  • multiplex assay
  • proteomics
  • virology

ASJC Scopus subject areas

  • Physiology
  • Ecology
  • General Immunology and Microbiology
  • Genetics
  • Microbiology (medical)
  • Cell Biology
  • Infectious Diseases

Fingerprint

Dive into the research topics of 'Quantitative assessment of multiple pathogen exposure and immune dynamics at scale'. Together they form a unique fingerprint.

Cite this