Prion Amplification and Hierarchical Bayesian Modeling Refine Detection of Prion Infection

Wykoff A, Galloway, Meyerett-Reid, Powers J, Spraker T, Monello R, Pulford B, Wild M, Antolin M, Van Cauteren K, Zabel M. 2015. Prion Amplification and Hierarchical Bayesian Modeling Refine Detection of Prion Infection. Scientific Reports. 5 : 8358 | DOI: 10.1038/srep08358

Prions are unique infectious agents that replicate without a genome and cause neurodegenerative diseases that include chronic wasting disease (CWD) of cervids. Immunohistochemistry (IHC) is currently considered the gold standard for diagnosis of a prion infection but may be insensitive to early or sub-clinical CWD that are important to understanding CWD transmission and ecology. We assessed the potential of serial protein misfolding cyclic amplification (sPMCA) to improve detection of CWD prior to the onset of clinical signs. We analyzed tissue samples from free-ranging Rocky Mountain elk (Cervus elaphus nelsoni) and used hierarchical Bayesian analysis to estimate the specificity and sensitivity of IHC and sPMCA conditional on simultaneously estimated disease states. Sensitivity estimates were higher for sPMCA (99.51%, credible interval (CI) 97.15–100%) than IHC of obex (brain stem, 76.56%, CI 57.00–91.46%) or retropharyngeal lymph node (90.06%, CI 74.13–98.70%) tissues, or both (98.99%, CI 90.01–100%). Our hierarchical Bayesian model predicts the prevalence of prion infection in this elk population to be 18.90% (CI 15.50–32.72%), compared to previous estimates of 12.90%. Our data reveal a previously unidentified sub-clinical prion-positive portion of the elk population that could represent silent carriers capable of significantly impacting CWD ecology.

Type
Journal Article
Authors
Wykoff, A.Christy; Galloway; Meyerett-Reid; Powers, Jenny; Spraker, Terry; Monello, Ryan; Pulford, Bruce; Wild, Margaret; Antolin, Michael; Van Cauteren, Kurt; Zabel, Mark
Units
ROMO
Keywords
Chronic Wasting Disease, CWD, Detection, immunohistochemistry, Prions, silent carriers
Subjects
Ecological Framework: Biological Integrity | Infestations and Disease | Animal Diseases

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