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小檗碱通过多靶点代谢网络调控改善非细菌性前列腺炎。

Berberine ameliorates nonbacterial prostatitis via multi-target metabolic network regulation.

作者信息

Sun Hui, Wang Huiyu, Zhang Aihua, Yan Guangli, Zhang Yue, An Na, Wang Xijun

机构信息

National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics and Chinmedomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine , Harbin, China .

出版信息

OMICS. 2015 Mar;19(3):186-95. doi: 10.1089/omi.2014.0112. Epub 2015 Jan 14.

Abstract

Metabolomics has been increasingly applied to discovering biomarkers and identifying perturbed pathways. Berberine has been shown to exhibit anti-inflammatory, antioxidant, and anticancer properties, but its mechanisms for treating nonbacterial prostatitis (NBP) remain unclear completely. We developed the untargeted metabolomics approach based on UPLC-Q-TOF-HDMS to profile the metabolite changes in urine samples in order to discover novel potential biomarkers to clarify mechanisms of berberine in treating a rat model of capsaicin-induced nonbacterial prostatitis (NBP). The changes in metabolic profiling were restored to their base-line values after berberine treatment according to the principal component analysis (PCA) score plots. Fourteen different potential biomarkers and five acutely perturbed metabolic pathways contributing to the treatment of NBP were discovered and identified. Specifically, the berberine-treated rats are located closer to the normal group, indicating that the NBP-induced disturbances to the metabolic profile were partially reversed by berberine treatment. After treatment with berberine, the relative contents of 12 potential biomarkers were effectively regulated, which suggested that the therapeutic effects of berberine on NBP may involve regulating disturbances to the metabolism. Our results show that the protective effect of berberine occurs in part through a reversal of the NBP-caused disturbances.

摘要

代谢组学已越来越多地应用于发现生物标志物和识别受干扰的途径。黄连素已被证明具有抗炎、抗氧化和抗癌特性,但其治疗非细菌性前列腺炎(NBP)的机制仍不完全清楚。我们基于超高效液相色谱-四极杆-飞行时间-高分辨质谱联用(UPLC-Q-TOF-HDMS)开发了非靶向代谢组学方法,以分析尿液样本中的代谢物变化,从而发现新的潜在生物标志物,阐明黄连素治疗辣椒素诱导的大鼠非细菌性前列腺炎(NBP)模型的机制。根据主成分分析(PCA)得分图,黄连素治疗后代谢谱的变化恢复到基线值。发现并鉴定了14种不同的潜在生物标志物和5条对NBP治疗有贡献的急性受干扰代谢途径。具体而言,黄连素治疗的大鼠更接近正常组,表明黄连素治疗部分逆转了NBP对代谢谱的干扰。黄连素治疗后,12种潜在生物标志物的相对含量得到有效调节,这表明黄连素对NBP的治疗作用可能涉及调节代谢紊乱。我们的结果表明,黄连素的保护作用部分是通过逆转NBP引起的紊乱来实现的。

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