Determining diagnostic sensitivity loss limits for sample pooling in duplex rtPCR surveillance testing: <i>Theileria orientalis</i> and <i>Anaplasma marginale</i>

To expand surveillance testing capacity through sample pooling, a thorough understanding is needed of how sample dilution through pooling affects the sensitivity of candidate assays. We validated a robust and representative framework for assessing the dilution effect of sample pooling using duplex rtPCR surveillance of <i>Theileria orientalis</i> and <i>Anaplasma marginale</i>, both of which are causative agents of severe anemia in cattle and a serious threat to the cattle industry in Virginia and many other states. We used 200 known-positive samples with Ct values representative of typical surveillance results in a series of pools in which we re-tested each sample individually, followed by each sample diluted in equal volumes with negative samples to make pools of 2, 4, 6, 8, and 10 total samples. We compared the Ct values of the individual positives with the Ct values of each pool size to determine if Ct values increase past the limit of detection in the 45-cycle assay. We observed a maximum of 2% sensitivity loss (no more than 2 of 100 samples returned a false-negative result) for both <i>T. orientalis</i> and <i>A. marginale</i> during the pooling series, with lower-than-expected average Ct increase and sensitivity loss. We conclude that pooling up to 10 samples would be acceptable for regional surveillance of <i>T. orientalis</i> and <i>A. marginale</i> using our rtPCR assay. The described strategy is applicable to validate pooling for a wide range of single and duplex rtPCR assays, which could expand efficient disease surveillance.

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Publication Details

Journal
Journal of Veterinary Diagnostic Investigation
Published
2024-10-26
DOI
https://doi.org/10.1177/10406387241287516
Citations
4
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
2.16

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article

Determining diagnostic sensitivity loss limits for sample pooling in duplex rtPCR surveillance testing: Theileria orientalis and Anaplasma marginale

Laura L. Hungerford, Kevin K. Lahmers, S. Michelle Todd, C.A. Burgess
4 citations
Journal of Veterinary Diagnostic Investigation
Insect and Pesticide Research
2.16
article

Determining diagnostic sensitivity loss limits for sample pooling in duplex rtPCR surveillance testing: Theileria orientalis and Anaplasma marginale

Laura L. Hungerford, Kevin K. Lahmers, S. Michelle Todd, C.A. Burgess
article en
4 citations

Abstract

To expand surveillance testing capacity through sample pooling, a thorough understanding is needed of how sample dilution through pooling affects the sensitivity of candidate assays. We validated a robust and representative framework for assessing the dilution effect of sample pooling using duplex rtPCR surveillance of <i>Theileria orientalis</i> and <i>Anaplasma marginale</i>, both of which are causative agents of severe anemia in cattle and a serious threat to the cattle industry in Virginia and many other states. We used 200 known-positive samples with Ct values representative of typical surveillance results in a series of pools in which we re-tested each sample individually, followed by each sample diluted in equal volumes with negative samples to make pools of 2, 4, 6, 8, and 10 total samples. We compared the Ct values of the individual positives with the Ct values of each pool size to determine if Ct values increase past the limit of detection in the 45-cycle assay. We observed a maximum of 2% sensitivity loss (no more than 2 of 100 samples returned a false-negative result) for both <i>T. orientalis</i> and <i>A. marginale</i> during the pooling series, with lower-than-expected average Ct increase and sensitivity loss. We conclude that pooling up to 10 samples would be acceptable for regional surveillance of <i>T. orientalis</i> and <i>A. marginale</i> using our rtPCR assay. The described strategy is applicable to validate pooling for a wide range of single and duplex rtPCR assays, which could expand efficient disease surveillance.

Journal of Veterinary Diagnostic InvestigationVol. 37(1)
Virginia–Maryland College of Veterinary Medicine (US), Virginia Tech (US)
U.S. Department of Agriculture, Virginia Department of Agriculture and Consumer Services, National Institute of Food and Agriculture, Agricultural Research Service, Animal and Plant Health Inspection Service
Openalex Percentile: Top 13%
Insect and Pesticide Research
2.16
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