Quantitative assessment of multiple pathogen exposure and immune dynamics at scale.

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

Journal

Microbiology spectrum
ISSN: 2165-0497
Titre abrégé: Microbiol Spectr
Pays: United States
ID NLM: 101634614

Informations de publication

Date de publication:
08 Dec 2023
Historique:
medline: 8 12 2023
pubmed: 8 12 2023
entrez: 8 12 2023
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38063388
doi: 10.1128/spectrum.02399-23
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0239923

Auteurs

Lusheng Song (L)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Femina Rauf (F)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Ching-Wen Hou (C-W)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Ji Qiu (J)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Vel Murugan (V)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Yunro Chung (Y)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
College of Health Solutions, Arizona State University, Tempe, Arizona, USA.

Huafang Lai (H)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Deborah Adam (D)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

D Mitchell Magee (DM)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Guillermo Trivino Soto (G)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Milene Peterson (M)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Karen S Anderson (KS)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
School of Life Sciences, Arizona State University, Tempe, Arizona, USA.

Stephen G Rice (SG)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Benjamin Readhead (B)

Arizona State University-Banner Neurodegenerative Disease Research Center, Tempe, Arizona, USA.

Jin G Park (JG)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Joshua LaBaer (J)

Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
School of Molecular Sciences, Arizona State University, Tempe, Arizona, USA.

Classifications MeSH