Application of ¹H NMR metabonomics in predicting renal function recoverability after the relief of obstructive uropathy in adult patients

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• 作者：Baijun Dong^a ; ¹ ; Jianmin Jia^b ; ¹ ; Wenyi Hu^b ; Qi Chen^a ; Chen Jiang^a ; Jiahua Pan^a ; Yiran Huang^a ; Wei Xue^a ; ^{xuewei1124@yahoo.com.cn} ; Hongchang Gao^b ; ^{gaohc27@gmail.com}
• 关键词：NMR ; Nuclear magnetic resonance ; BUO ; Bilateral ureteral obstruction ; UUO ; Unilateral ureteral obstruction ; OU ; Obstructive uropathy ; BUN ; Blood urea nitrogen ; SCr ; Serum creatinine ; eGFR ; Estimated glomerular filtration rate ; MDRD ; Modification of diet i
• 刊名：Clinical Biochemistry
• 出版年：2013
• 出版时间：March, 2013
• 年：2013
• 卷：46
• 期：4-5
• 页码：346-353
• 全文大小：1374 K

文摘

Objective

To evaluate a method for predicting renal function recoverability after the relief of obstructive uropathy using ¹H NMR-based metabonomics.

Design and methods

This study included 16 bilateral ureteral obstruction (BUO) patients and 9 unilateral ureteral obstruction (UUO) patients. The obstructions in all of the patients were successfully relieved after treatment. Urine samples at different time points before and after treatment were obtained, and their ¹H NMR spectra were recorded and analyzed using multivariate statistical techniques combined with quantitative statistical analyses.

Results

A distinctive pattern in the metabolite profile of urine samples from preoperation and early and late stages after treatment was observed, which was in good agreement with the clinical chemistry analyses. Some important systemic perturbations in endogenous metabolites were correlated with different recoverability stages of renal function after obstruction relief. In addition, the OPLS-DA model of BUO patients could help predict the recovery of renal function of UUO patients.

Conclusion

The results suggest that ¹H NMR-based metabonomics can be used to evaluate the recoverability of renal function after obstruction relief. Our results suggest that ¹H NMR-based metabonomics may help stratify patients according to disease stages, provide prognostic information, and be useful for postoperative surveillance.