期刊
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
卷 1040, 期 -, 页码 81-88出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jchromb.2016.12.002
关键词
Amomum compactum; Metabonomics; UPLC-MS; Acute kidney injury; BP neural network algorithm; Gentamicin
资金
- National Natural Science Foundation of China [81560702, 81260682]
- Inner Mongolia Mongolian medicine science and technology major special sub topics [GCY201508034]
- open subject of Inner Mongolia Key Laboratory for the Natural Products Chemistry and Functional Molecular Synthesis [MDK2016011]
- research program of science and technology at universities of Inner Mongolia Autonomous Region [NJZY16177]
- Nature Science Foundation of Inner Mongolia Autonomous Region of China [2016MS0624, 2012ZD12]
Acute kidney injury (AKI) is a major global public health problems, as it causes high morbidity and serious injury to renal function. However, the etiology for AKI is not very clear. In this study, a serum metabolite profile analysis was performed to identify potential biomarkers for gentamicin-induced AKI and to investigate the mechanism of action of Amomum compactum (AC) used for treatment. A metabonomics approach by ultra-performance liquid chromatography together with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was applied to perform the analysis. Back propagation (BP) neural network models were established for classifying data from the control, model, and AC-treated groups. Accuracy rate for classification was 91.7% in positive ion mode and 87.5% in negative ion mode. By orthogonal partial least squares discriminant analysis (OPLS-DA), 29 metabolites were identified as potential biomarkers of gentamicin-induced AKI. Most of them are related to phospholipid metabolism. After treatment with AC, the levels of sphingomyelin, sphingosine, phytosphingosine, and arachidonic acid were restored to normal. The results indicate that AC plays a protective role in rats with gentamicin-induced AKI via regulation of the phospholipid metabolic pathway. In this work, early biomarkers of AKI has been identified and underlying therapeutic mechanism of AC has been understood, therefore, AC can be further investigated and tested for clinical application. (C) 2016 Elsevier B.V. All rights reserved.
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