1. Urinary chemical fingerprint left behind by repeated NSAID administration: Discovery of putative biomarkers using artificial intelligence.
- Author
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Broughton-Neiswanger LE, Rivera-Velez SM, Suarez MA, Slovak JE, Piñeyro PE, Hwang JK, and Villarino NF
- Subjects
- Animals, Anti-Inflammatory Agents, Non-Steroidal urine, Artificial Intelligence, Butyrates urine, Cats, Chromatography, Cluster Analysis, Female, Humans, Mass Spectrometry, Metabolomics methods, Pseudouridine urine, ROC Curve, Sugar Alcohols urine, Taurine urine, Tyrosine urine, Xylitol urine, Anti-Inflammatory Agents, Non-Steroidal administration & dosage, Biomarkers urine
- Abstract
Prediction and early detection of kidney damage induced by nonsteroidal anti-inflammatories (NSAIDs) would provide the best chances of maximizing the anti-inflammatory effects while minimizing the risk of kidney damage. Unfortunately, biomarkers for detecting NSAID-induced kidney damage in cats remain to be discovered. To identify potential urinary biomarkers for monitoring NSAID-based treatments, we applied an untargeted metabolomics approach to urine collected from cats treated repeatedly with meloxicam or saline for up to 17 days. Applying multivariate analysis, this study identified a panel of seven metabolites that discriminate meloxicam treated from saline treated cats. Combining artificial intelligence machine learning algorithms and an independent testing urinary metabolome data set from cats with meloxicam-induced kidney damage, a panel of metabolites was identified and validated. The panel of metabolites including tryptophan, tyrosine, taurine, threonic acid, pseudouridine, xylitol and lyxitol, successfully distinguish meloxicam-treated and saline-treated cats with up to 75-100% sensitivity and specificity. This panel of urinary metabolites may prove a useful and non-invasive diagnostic tool for monitoring potential NSAID induced kidney injury in feline patients and may act as the framework for identifying urine biomarkers of NSAID induced injury in other species., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2020
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