Chen Dan-Qian, Cao Gang, Chen Hua, Liu Dan, Su Wei, Yu Xiao-Yong, Vaziri Nosratola D, Liu Xiu-Hua, Bai Xu, Zhang Li, Zhao Ying-Yong
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi 710069, China.
Research Center of TCM Processing Technology, Zhejiang Chinese Medical University, No. 548 Binwen Road, Hangzhou, Zhejiang 310053, China.
Redox Biol. 2017 Aug;12:505-521. doi: 10.1016/j.redox.2017.03.017. Epub 2017 Mar 23.
Changes in plasma concentration of small organic metabolites could be due to their altered production or urinary excretion and changes in their urine concentration may be due to the changes in their filtered load, tubular reabsorption, and/or altered urine volume. Therefore, these factors should be considered in interpretation of the changes observed in plasma or urine of the target metabolite(s). Fasting plasma and urine samples from 180 CKD patients and 120 age-matched healthy controls were determined by UPLC-HDMS-metabolomics and quantitative real-time RT-PCR techniques. Compared with healthy controls, patients with CKD showed activation of NF-κB and up-regulation of pro-inflammatory and pro-oxidant mRNA and protein expression as well as down-regulation of Nrf2-associated anti-oxidant gene mRNA and protein expression, accompanied by activated canonical Wnt/β-catenin signaling. 124 plasma and 128 urine metabolites were identified and 40 metabolites were significantly altered in both plasma and urine. Plasma concentration and urine excretion of 25 metabolites were distinctly different between CKD and controls. They were related to amino acid, methylamine, purine and lipid metabolisms. Logistic regression identified four plasma and five urine metabolites. Parts of them were good correlated with eGFR or serum creatinine. 5-Methoxytryptophan and homocystine and citrulline were good correlated with both eGFR and creatinine. Clinical factors were incorporated to establish predictive models. The enhanced metabolite model showed 5-methoxytryptophan, homocystine and citrulline have satisfactory accuracy, sensitivity and specificity for predictive CKD. The dysregulation of CKD was related to amino acid, methylamine, purine and lipid metabolisms. 5-methoxytryptophan, homocystine and citrulline could be considered as additional GFR-associated biomarker candidates and for indicating advanced renal injury. CKD caused dysregulation of the plasma and urine metabolome, activation of inflammatory/oxidative pathway and Wnt/β-catenin signaling and suppression of antioxidant pathway.
血浆中小有机代谢物浓度的变化可能是由于其生成或尿排泄的改变,而其尿液浓度的变化可能是由于其滤过量、肾小管重吸收和/或尿量的改变。因此,在解释目标代谢物血浆或尿液中观察到的变化时应考虑这些因素。采用超高效液相色谱-高分辨质谱代谢组学和定量实时逆转录-聚合酶链反应技术,对180例慢性肾脏病(CKD)患者和120例年龄匹配的健康对照者的空腹血浆和尿液样本进行检测。与健康对照相比,CKD患者表现出核因子κB(NF-κB)激活、促炎和促氧化mRNA及蛋白表达上调,以及核因子E2相关因子2(Nrf2)相关抗氧化基因mRNA及蛋白表达下调,并伴有经典Wnt/β-连环蛋白信号通路激活。共鉴定出124种血浆代谢物和128种尿液代谢物,其中40种代谢物在血浆和尿液中均有显著改变。25种代谢物的血浆浓度和尿排泄量在CKD患者和对照之间存在明显差异。它们与氨基酸、甲胺、嘌呤和脂质代谢有关。逻辑回归分析确定了4种血浆代谢物和5种尿液代谢物。其中部分与估算肾小球滤过率(eGFR)或血清肌酐具有良好的相关性。5-甲氧基色氨酸、同型半胱氨酸和瓜氨酸与eGFR和肌酐均具有良好的相关性。纳入临床因素建立预测模型。增强代谢物模型显示,5-甲氧基色氨酸、同型半胱氨酸和瓜氨酸对CKD的预测具有满意的准确性、敏感性和特异性。CKD的代谢失调与氨基酸、甲胺、嘌呤和脂质代谢有关。5-甲氧基色氨酸、同型半胱氨酸和瓜氨酸可被视为额外的与肾小球滤过率相关的生物标志物候选物,并用于指示晚期肾损伤。CKD导致血浆和尿液代谢组失调、炎症/氧化途径和Wnt/β-连环蛋白信号通路激活以及抗氧化途径受抑制。