RELSA—A multidimensional procedure for the comparative assessment of well-being and the quantitative determination of severity in experimental procedures

Autor: Steven R. Talbot, Birgitta Struve, Laura Wassermann, Miriam Heider, Nora Weegh, Tilo Knape, Martine C. J. Hofmann, Andreas von Knethen, Paulin Jirkof, Christine Häger, André Bleich
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Veterinary Science, Vol 9 (2022)
Druh dokumentu: article
ISSN: 2297-1769
DOI: 10.3389/fvets.2022.937711
Popis: Good science in translational research requires good animal welfare according to the principles of 3Rs. In many countries, determining animal welfare is a mandatory legal requirement, implying a categorization of animal suffering, traditionally dominated by subjective scorings. However, how such methods can be objectified and refined to compare impairments between animals, subgroups, and animal models remained unclear. Therefore, we developed the RELative Severity Assessment (RELSA) procedure to establish an evidence-based method based on quantitative outcome measures such as body weight, burrowing behavior, heart rate, heart rate variability, temperature, and activity to obtain a relative metric for severity comparisons. The RELSA procedure provided the necessary framework to get severity gradings in TM-implanted mice, yielding four distinct RELSA thresholds L1 surgery > restraint stress > colitis. The bootstrapped 95% confidence intervals reliably show that RELSA estimates are conditionally invariant against missing information but precise in ranking the quantitative severity information to the moderate context of the transmitter-implantation model. In conclusion, we propose the RELSA as a validated tool for an objective, computational approach to comparative and quantitative severity assessment and grading. The RELSA procedure will fundamentally improve animal welfare, data quality, and reproducibility. It is also the first step toward translational risk assessment in biomedical research.
Databáze: Directory of Open Access Journals