PT  - JOURNAL ARTICLE
AU  - Gage R. Rowden
AU  - Catalina Picasso-Risso
AU  - Manci Li
AU  - Marc D. Schwabenlander
AU  - Tiffany Wolf
AU  - Peter Larsen
TI  - Standardization of Data Analysis for RT-QuIC-based Detection of Chronic Wasting Disease
AID  - 10.1101/2022.11.17.516950
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.11.17.516950
4099  - http://biorxiv.org/content/early/2022/11/17/2022.11.17.516950.short
4100  - http://biorxiv.org/content/early/2022/11/17/2022.11.17.516950.full
AB  - Chronic wasting disease (CWD) is a disease affecting cervids and is caused by prions accumulating as pathogenic fibrils in lymphoid tissue and the central nervous system. Approaches for detecting CWD prions historically relied on antibody-based assays. However, recent advancements in protein amplification technology provided the foundation for a new class of CWD diagnostic tools. In particular, real-time quaking-induced conversion (RT-QuIC) has rapidly become a feasible option for CWD diagnosis. Despite its increased usage for CWD-focused research, there lacks consensus regarding the interpretation of RT-QuIC data for diagnostic purposes. It is imperative then to identify a standardized and replicable method for determining CWD status from RT-QuIC data. Here, we assessed variables that could impact RT-QuIC results and explored the use of maxpoint ratios (maximumRFU/backgroundRFU) to improve the consistency of RT-QuIC analysis. We examined a variety of statistical analyses to retrospectively analyze CWD status based on RT-QuIC and ELISA results from 668 white-tailed deer lymph nodes. Our results revealed an MPR threshold of 2.0 for determining the rate of amyloid formation, and MPR analysis showed excellent agreement with independent ELISA results. These findings suggest that the use of MPR is a statistically viable option for normalizing between RT-QuIC experiments and defining CWD status.Competing Interest StatementThe authors have declared no competing interest.