Evaluation of SARS-CoV-2 antibody detection methods for wild Cervidae

Wildlife surveillance programs often use serological data to monitor exposure to pathogens. Diagnostic sensitivity and specificity of a serological assay quantify the true positive and negative rates of the diagnostic assay, respectively. However, an assay's accuracy can be affected by wild animals' pathogen exposure history and quality of the sample collected, requiring separate estimates of an assay's detection ability for wild-sampled animals where an animal's true disease status is unknown (referred to hereafter as sampling sensitivity and specificity). We assessed the sampling sensitivity and specificity of a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) surrogate virus neutralization test (sVNT) and conventional virus neutralization tests (cVNT) to detect antibodies for ancestral and Omicron B.1.1.529 variants of SARS-CoV-2 in wild white-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus). We studied the influence of sample collection method using paired blood samples collected in serum separator tubes and on Nobuto strips from the same animal. Mean estimates of sampling sensitivity and specificity ranged from 0.21-0.95 and 0.94-1.00, respectively, varying by sample collection method, host species, and SARS-CoV-2 variant targeted by the assay. Broadly, sampling sensitivity was estimated to be higher for 1) sera collected in tubes, 2) detecting pre-Omicron SARS-CoV-2 variants, and 3) sVNT relative to cVNT assays. Sampling specificity tended to be high for all tests. We augmented our study with SARS-CoV-2 spike protein sequences derived from sampling locations and times coincident with white-tailed deer captures, finding common amino acid mutations relative to the sVNT Omicron antigen variant. The mutations may indicate that the SARS-CoV-2 variants circulating in cervids from 2021 through 2024 may be better adapted to cervid hosts and more closely related to variants that circulated in humans prior to Omicron variants. We conclude our study with an inter-test comparison of sVNT results, revealing that 40 % inhibition is an optimal threshold for test positivity when testing deer sera for responses to Omicron variant B.1.1.529, compared to the 30 % inhibition recommended for ancestral variants.

Authors

Institutions

Publication Details

Journal
Preventive Veterinary Medicine
Published
2025-03-30
DOI
https://doi.org/10.1016/j.prevetmed.2025.106522
Citations
3
Primary Topic
Animal Virus Infections Studies
Type
article
Field-Weighted Citation Impact
3.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of SARS-CoV-2 antibody detection methods for wild Cervidae

Matthew J. Payne, Grete Wilson‐Henjum, Meggan E. Craft, Aaron T. Phillips et al.
3 citations
Preventive Veterinary Medicine
Animal Virus Infections Studies
3.58
article

Evaluation of SARS-CoV-2 antibody detection methods for wild Cervidae

Matthew J. Payne, Grete Wilson‐Henjum, Meggan E. Craft, Aaron T. Phillips, Joshua Hewitt, Kim M. Pepin, Meredith C. VanAcker, Jennifer M. Mullinax, W. David Walter, J.F. Alder, Kezia R. Manlove, Laura Plimpton, Diego G. Diel, George Wittemyer, S. A. Hathaway, Tiffany M. Wolf, M. Wilber, Lisa I. Muller, Maria A. Diuk‐Wasser, Travis Gallo, Justin R. Kosiewska, Guillaume Bastille‐Rousseau, Jeffrey C. Chandler, Daniel Grove, Tomomi Kishimoto, A Baker, Jennifer Høy‐Petersen, Carson Coriell, Tyler J Garwood
article en
3 citations

Abstract

Wildlife surveillance programs often use serological data to monitor exposure to pathogens. Diagnostic sensitivity and specificity of a serological assay quantify the true positive and negative rates of the diagnostic assay, respectively. However, an assay's accuracy can be affected by wild animals' pathogen exposure history and quality of the sample collected, requiring separate estimates of an assay's detection ability for wild-sampled animals where an animal's true disease status is unknown (referred to hereafter as sampling sensitivity and specificity). We assessed the sampling sensitivity and specificity of a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) surrogate virus neutralization test (sVNT) and conventional virus neutralization tests (cVNT) to detect antibodies for ancestral and Omicron B.1.1.529 variants of SARS-CoV-2 in wild white-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus). We studied the influence of sample collection method using paired blood samples collected in serum separator tubes and on Nobuto strips from the same animal. Mean estimates of sampling sensitivity and specificity ranged from 0.21-0.95 and 0.94-1.00, respectively, varying by sample collection method, host species, and SARS-CoV-2 variant targeted by the assay. Broadly, sampling sensitivity was estimated to be higher for 1) sera collected in tubes, 2) detecting pre-Omicron SARS-CoV-2 variants, and 3) sVNT relative to cVNT assays. Sampling specificity tended to be high for all tests. We augmented our study with SARS-CoV-2 spike protein sequences derived from sampling locations and times coincident with white-tailed deer captures, finding common amino acid mutations relative to the sVNT Omicron antigen variant. The mutations may indicate that the SARS-CoV-2 variants circulating in cervids from 2021 through 2024 may be better adapted to cervid hosts and more closely related to variants that circulated in humans prior to Omicron variants. We conclude our study with an inter-test comparison of sVNT results, revealing that 40 % inhibition is an optimal threshold for test positivity when testing deer sera for responses to Omicron variant B.1.1.529, compared to the 30 % inhibition recommended for ancestral variants.

Preventive Veterinary MedicineVol. 241
Southern Illinois University Carbondale (US), Utah State University (US), United States Geological Survey (US), Animal and Plant Health Inspection Service (US), University of Minnesota (US), Pennsylvania State University (US), United States Department of Agriculture (US), Cornell University (US), Smithsonian Conservation Biology Institute (US), University of Maryland, College Park (US), University of Tennessee at Knoxville (US), Columbia University (US), University of Pennsylvania (US), Colorado State University (US)
Openalex Percentile: Top 9%
Animal Virus Infections Studies
3.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.