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from plasma creatinine and body weight
ACLARA works on a similar concept to human glomerular filtration rate (GFR)-estimating formulas to provide rat estimated creatinine clearance (eClCr) from a single analytical parameter (i.e., plasma creatinine) measured in a spot blood sample, and a body habitus indicator (i.e., body weight).
ACLARA is a neural network-based calculator developed from matched pCr, weight, and experimentally measured ClCr data trios from our historical records on male Wistar rats. When evaluated on the training (1165 samples), validation (389), and test sets (660), the model committed an average prediction error of 0.196, 0.178, and 0.203 mL/min and had a correlation coefficient of 0.863, 0.902, and 0.856, respectively.
The eClCr value provided by ACLARA is therefore an accurate substitute for the measurement of creatinine clearance, a long and tedious procedure involving isolation of experimental animals in metabolic cages for 24 hours. ACLARA thus reduces experimental time and cost, facilitates research, and minimizes animal stress in line with the 3Rs principles for a more humane animal research.
Pellicer-Valero, Ó. J., Massaro, G. A., Casanova, A. G., Paniagua-Sancho, M., Fuentes-Calvo, I., Harvat, M., Martín-Guerrero, J. D., Martínez-Salgado, C., & López-Hernández, F. J, Neural network-based calculator for rat glomerular filtration rate, Biomedicines, 10(3), 610-621, 2022, doi: 10.3390/biomedicines10030610
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Beyond a useful research tool, ACLARA is an ongoing project open to the scientific community. Researchers and groups generating rat creatinine clearance data may get involved by: