Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies
Author(s) -
Agnes L. Karmaus,
Kamel Mansouri,
Kimberly T. To,
Bevin E. Blake,
Jeremy Fitzpatrick,
Judy Strickland,
Grace Patlewicz,
David Allen,
Warren Casey,
Nicole Kleinstreuer
Publication year - 2022
Publication title -
toxicological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.352
H-Index - 183
eISSN - 1096-6080
pISSN - 1096-0929
DOI - 10.1093/toxsci/kfac042
Subject(s) - protocol (science) , replicate , categorization , computer science , data set , hazard , set (abstract data type) , acute toxicity , metadata , statistics , risk assessment , variance (accounting) , toxicology , toxicity , medicine , biology , artificial intelligence , mathematics , pathology , ecology , alternative medicine , computer security , programming language , operating system , accounting , business
Regulatory agencies rely upon rodent in vivo acute oral toxicity data to determine hazard categorization, require appropriate precautionary labeling, and perform quantitative risk assessments. As the field of toxicology moves toward animal-free new approach methodologies (NAMs), there is a pressing need to develop a reliable, robust reference data set to characterize the reproducibility and inherent variability in the in vivo acute oral toxicity test method, which would serve to contextualize results and set expectations regarding NAM performance. Such a data set is also needed for training and evaluating computational models. To meet these needs, rat acute oral LD50 data from multiple databases were compiled, curated, and analyzed to characterize variability and reproducibility of results across a set of up to 2,441 chemicals with multiple independent study records. Conditional probability analyses reveal that replicate studies only result in the same hazard categorization on average at 60% likelihood. Although we did not have sufficient study metadata to evaluate the impact of specific protocol components (e.g., strain, age, or sex of rat, feed used, treatment vehicle, etc.), studies were assumed to follow standard test guidelines. We investigated, but could not attribute, various chemical properties as the sources of variability (i.e., chemical structure, physiochemical properties, functional use). Thus, we conclude that inherent biological or protocol variability likely underlies the variance in the results. Based on the observed variability, we were able to quantify a margin of uncertainty of ± 0.24 log10 (mg/kg) associated with discrete in vivo rat acute oral LD50 values.
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