Development and optimization of self-collected, field-stable, saliva-based immunoassays for scalable epidemiological surveillance of pathogen-specific immunity

Serological surveillance is fundamental to infectious disease research and informed public-health decision-making. Immunoassays used in the study of pathogen-specific immunity have historically relied on the collection of venous blood. While critical for many public-health applications, this sample collection method is invasive and resource-intensive. The costs and logistical barriers associated with venous blood collection are exacerbated in resource-limited regions, and the shift to less invasive sampling methods would increase sample availability for pathogen surveillance and study of pathogen-specific immunity. To this end, we have developed and optimized a self-collected, saliva-based immunoassay capable of quantifying pathogen-specific antibody binding in saliva samples. Using samples collected from geographically and epidemiologically diverse regions of the world, we compared antigen-specific IgG levels in paired plasma and saliva samples. We observed that levels of IgG against multiple pathogens of public health concern-including SARS-CoV-2 and dengue virus-were highly correlated in plasma and swab-collected saliva. In addition, the decay of maternally derived antibodies in saliva samples collected from infants was readily observed using this immunoassay, demonstrating the assay's sensitivity and potential for use in measuring antibody kinetics. We posit that this assay represents a climate-stable, non-invasive tool that can aid in the surveillance and study of pathogen-specific immunity across a broad range of public-health indications. IMPORTANCE: Traditional serological surveillance relies on venous blood collection, which is invasive, resource-intensive, and particularly burdensome in low-resource settings. To address these limitations, our team has developed and validated a self-collected, saliva-based immunoassay for quantifying pathogen-specific antibody levels. Testing paired plasma and saliva samples from geographically diverse populations, the authors found that IgG levels against SARS-CoV-2 and dengue virus were highly correlated between the two sample types. The assay was sensitive enough to detect the decay of maternally derived antibodies in infant saliva, demonstrating its utility for tracking antibody kinetics over time. The authors conclude that this non-invasive, climate-stable platform offers a practical alternative for broad pathogen surveillance and immune monitoring across a variety of public health contexts.

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Publication Details

Journal
Microbiology Spectrum
Published
2026-10-29
DOI
https://doi.org/10.1128/spectrum.02996-26
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and optimization of self-collected, field-stable, saliva-based immunoassays for scalable epidemiological surveillance of pathogen-specific immunity

Lauren E. Bahr, Lisa A. Ware, Erica Rapheal, Aaron R. Farmer et al.
Microbiology Spectrum
SARS-CoV-2 detection and testing
article

Development and optimization of self-collected, field-stable, saliva-based immunoassays for scalable epidemiological surveillance of pathogen-specific immunity

Lauren E. Bahr, Lisa A. Ware, Erica Rapheal, Aaron R. Farmer, Michelle D. Klick, Kathryn B. Anderson, Darunee Buddhari, Stephen James Thomas, Taweewun Hunsawong, Adam Tully Waickman, Frank A. Middleton, Peter Greco, Joseph Lu
article en

Abstract

Serological surveillance is fundamental to infectious disease research and informed public-health decision-making. Immunoassays used in the study of pathogen-specific immunity have historically relied on the collection of venous blood. While critical for many public-health applications, this sample collection method is invasive and resource-intensive. The costs and logistical barriers associated with venous blood collection are exacerbated in resource-limited regions, and the shift to less invasive sampling methods would increase sample availability for pathogen surveillance and study of pathogen-specific immunity. To this end, we have developed and optimized a self-collected, saliva-based immunoassay capable of quantifying pathogen-specific antibody binding in saliva samples. Using samples collected from geographically and epidemiologically diverse regions of the world, we compared antigen-specific IgG levels in paired plasma and saliva samples. We observed that levels of IgG against multiple pathogens of public health concern-including SARS-CoV-2 and dengue virus-were highly correlated in plasma and swab-collected saliva. In addition, the decay of maternally derived antibodies in saliva samples collected from infants was readily observed using this immunoassay, demonstrating the assay's sensitivity and potential for use in measuring antibody kinetics. We posit that this assay represents a climate-stable, non-invasive tool that can aid in the surveillance and study of pathogen-specific immunity across a broad range of public-health indications. IMPORTANCE: Traditional serological surveillance relies on venous blood collection, which is invasive, resource-intensive, and particularly burdensome in low-resource settings. To address these limitations, our team has developed and validated a self-collected, saliva-based immunoassay for quantifying pathogen-specific antibody levels. Testing paired plasma and saliva samples from geographically diverse populations, the authors found that IgG levels against SARS-CoV-2 and dengue virus were highly correlated between the two sample types. The assay was sensitive enough to detect the decay of maternally derived antibodies in infant saliva, demonstrating its utility for tracking antibody kinetics over time. The authors conclude that this non-invasive, climate-stable platform offers a practical alternative for broad pathogen surveillance and immune monitoring across a variety of public health contexts.

Microbiology Spectrum
University of Minnesota (US), SUNY Upstate Medical University (US), Armed Forces Research Institute of Medical Science (TH), Walter Reed Army Institute of Research (US)
National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 12%
SARS-CoV-2 detection and testing
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