Abstract

Nephrotoxicity is the dose-limiting adverse effect of cisplatin with large individual differences. Up to now, little has been done on how to recognize and predict the individual differences in either preclinical or clinical research. In the present study, important postdose indicators were screened out first and integrated into a grouping factor, according to which rats were recognized as lowly or highly sensitive individuals. Then, mass-spectrometry-based untargeted metabolomics approach was performed to dissect the metabolic differences in predose serum of the two groups. Eventually, branched-chain amino acids (BCAAs) were found to be most significant with the lowest p value of Mann-Whitney U test and the highest area under receiving operating characteristic curve (AUC-ROC). The findings were further confirmed by absolute quantitation of BCAAs using liquid chromatography-tandem mass spectrometry. Binary logistic regression showed that in the discovery set absolute BCAA contents in rat predose serum could predict cisplatin nephrotoxicity with accuracy of 85%. This result was validated by another two independent external validation sets with accuracy of 81.8 and 78.8%, respectively. This study could provide new insight into cisplatin nephrotoxicity and may help expedite personalized medicine of cisplatin or other antitumor drugs in future clinical studies.

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