Discovery of potential biomarkers in acute kidney injury by ultra-high-performance liquid chromatography-tandem quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS).

OBJECTIVE

The LC-MS/MS-based non-targeted metabolomics method was used to differentially screen serum and urine metabolites of acute kidney injury (AKI) patients and healthy people, to explore potential biomarkers of AKI and analyze related pathways, and explain the potential mechanism and biological significance of AKI.

METHODS

The serum and urine samples from 30 AKI patients and 20 healthy people were selected to conduct a non-targeted metabolomics study by ultra-high-performance liquid chromatography-tandem quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS). The differential metabolites between the two groups were searched by the human metabolome (HMDB) database ( https://hmdb.ca/ ) and the related pathways of these potential biomarkers were identified by searching the Kyoto encyclopedia of genes and genomes (KEGG) database ( https://www.kegg.jp/ ). The total metabolic pathways were analyzed by the MS Peaks to Pathways module of MetaboAnalyst ( https://www.metaboanalyst.ca/ ).

RESULTS

Multivariate data analysis found that serum and urine metabolism in AKI patients was significantly different from healthy people. We found three metabolites in urine (2-S-glutathionyl glutathione acetate, 5-L-Glutamyl-taurine, and L-Phosphoarginine) contributing to the separation of AKI patients from healthy people, and major metabolic pathways associated with these potential biomarkers including cytochrome P450 metabolism, arginine, and proline metabolism.

CONCLUSION

2-S-glutathionyl glutathione acetate, 5-L-Glutamyl-taurine, and L-Phosphoarginine were associated with AKI patients, which could be selected as potential biomarkers to predicate AKI disease.