Study the therapeutic mechanism of Amomum compactum in gentamicin-induced acute kidney injury rat based on a back propagation neural network algorithm

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• 作者：Xiye Wang^a ; Hongmei Chen^b ; ^c ; Chun Chang^b ; ^c ; Mingyang Jiang^d ; ^e ; Xiulan Wang^b ; ^c ; ^{ld.312@163.com} ; Liang Xu^a ; ^{mdxuliang@163.com}
• 关键词：AKI ; acute kidney injury ; AC ; Amomum compactum ; UPLC Q-TOF-MS ; ultra-performance liquid chromatography together with quadrupole time-of-flight mass spectrometry ; BP ; back propagation ; OPLS-DA ; orthogonal partial least squares discriminant analysis ; TCM ; traditional Chinese medicine ; ANNs ; neural networks algorithm ; Scr ; Serum creatinine ; BUN ; blood urea nitrogen ; CG ; control group ; MG ; model group ; LA ; low-dose AC group ; HA ; and high-dose AC group ; VIP ; variable importance in the projection ; PC
• 刊名：Journal of Chromatography B
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：1040
• 期：Complete
• 页码：81-88
• 全文大小：1855 K
• 卷排序：1040

文摘

Back propagation neural network models were established for metabonomics analysis. Amomum compactum was used to treat acute kidney injury for the first time. Potential biomarkers related to acute kidney injury have been identified. The mechanism of gentamicin-induced acute kidney injury have been elucidated. The therapeutic mechanisms of Amomum compactum against acute kidney injury have been understood.