High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach. Issue 27 (18th April 2018)

• Record Type: Journal Article
• Authors: Li, Hai-Hong; Pan, Jian-Liang; Hui, Su; Ma, Xiao-Wei; Wang, Zhi-Long; Yao, Hui-Xin; Wang, Jun-Feng; Li, Hong
• Is Part Of: RSC advances. Volume 8:Issue 27(2018)
• Page Start: 14838
• Page End: 14847
• Publication Date: 2018-04-18
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c8ra01749b
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : Metabolomics can identify the small molecule endogenous metabolites in a biological system which is capable of further understanding the mechanisms of diseases for early diagnosis, effective treatment and prognosis. Abstract : Metabolomics, as a promising and powerful approach, refers to comprehensive assessment and identification of small molecule endogenous metabolites in a biological system which is capable of further understanding the mechanisms of diseases for early diagnosis, effective treatment and prognosis. Acute kidney injury (AKI) induced by contrast is a serious complication in patients undergoing administration of iodinated contrast media. It is becoming a major health concern in clinic, however, the molecular mechanisms of contrast-induced acute kidney injury (CI-AKI) have not been well characterized. In this study, we used serum metabolomics based on liquid chromatography-mass spectrometry (LC-MS) combined with pattern recognition to explore and characterize potential metabolites and metabolic pathway in an experimental model for CI-AKI. Seventeen differentiating metabolites in the serum were identified involving the pivotal metabolic pathways related to tryptophan metabolism, glycerophospholipid metabolism, steroid hormone biosynthesis, pyrimidine metabolism, sphingolipid metabolism, aminoacyl-tRNA biosynthesis. Our study provides novel insight into pathophysiologic mechanisms of AKI by changing biomarkers and pathways.