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DETECTION OF SARS-COV-2 NEUTRALIZING ANTIBODIES IN RETROPHARYNGEAL LYMPH NODE EXUDATES OF WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) FROM NEBRASKA, USA

Supporting Files
File Language:
English


Details

  • Alternative Title:
    J Wildl Dis
  • Personal Author:
  • Description:
    Disease surveillance testing for emerging zoonotic pathogens in wildlife is a key component in understanding the epidemiology of these agents and potential risk to human populations. Recent emergence of SARS-CoV-2 in humans, and subsequent detection of this virus in wildlife, highlights the need for developing new One Health surveillance strategies. We used lymph node exudate, a sample type that is routinely collected in hunter-harvested white-tailed deer (WTD, Odocoileus virginianus) for surveillance of chronic wasting disease, to assess anti-SARS-CoV-2 neutralizing antibodies. A total of 132 pairs of retropharyngeal lymph nodes collected from Nebraska WTD harvested in Nebraska, US, in 2019 (pre-SARS-CoV-2 pandemic) and 2021 (post-SARS-CoV-2 pandemic) were tested for SARS-CoV-2 with reverse transcription PCR. Thereafter, exudates obtained from these same lymph nodes were tested for SARS-CoV-2 neutralizing antibodies using a surrogate virus neutralization test. Neutralizing antibodies were detected in the exudates with high diagnostic specificity (100% at proposed cutoff of 40% inhibition). Application of this testing approach to samples collected for use in other disease surveillance activities may provide additional epidemiological data on SARS-CoV-2 exposure, and there is further potential to apply this sample type to detection of other pathogens of interest.
  • Subjects:
  • Keywords:
  • Source:
    J Wildl Dis. 59(4):702-708
  • Pubmed ID:
    37768779
  • Pubmed Central ID:
    PMC10913095
  • Document Type:
  • Funding:
  • Volume:
    59
  • Issue:
    4
  • Download URL:
  • File Type:
    Filetype[PDF - 443.47 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:ec7674667f780d7cb4da4896264cc690ee28fc37d3fdca5e752d71ca8662dc860470f8509a5fc47f9f402728840338785dbe388a7a79a1c599ffb0e56d60a638
File Language:
English
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