Pan Libin, Han Pei, Ma Shurong, Peng Ran, Wang Can, Kong Weijia, Cong Lin, Fu Jie, Zhang Zhengwei, Yu Hang, Wang Yan, Jiang Jiandong
State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100050, China.
Insitute of Medicinal Biotechnology, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing 100050, China.
Acta Pharm Sin B. 2020 Feb;10(2):249-261. doi: 10.1016/j.apsb.2019.10.007. Epub 2019 Oct 30.
The progression of hyperuricemia disease is often accompanied by damage to renal function. However, there are few studies on hyperuricemia nephropathy, especially its association with intestinal flora. This study combines metabolomics and gut microbiota diversity analysis to explore metabolic changes using a rat model as well as the changes in intestinal flora composition. The results showed that amino acid metabolism was disturbed with serine, glutamate and glutamine being downregulated whilst glycine, hydroxyproline and alanine being upregulated. The combined glycine, serine and glutamate could predict hyperuricemia nephropathy with an area under the curve of 1.00. Imbalanced intestinal flora was also observed. , , , , and other conditional pathogens increased significantly in the model group, while and , the short-chain fatty acid producing bacteria, declined greatly. At phylum, family and genus levels, disordered nitrogen circulation in gut microbiota was detected. In the model group, the uric acid decomposition pathway was enhanced with reinforced urea liver-intestine circulation. The results implied that the intestinal flora play a vital role in the pathogenesis of hyperuricemia nephropathy. Hence, modulation of gut microbiota or targeting at metabolic enzymes, , urease, could assist the treatment and prevention of this disease.
高尿酸血症疾病的进展通常伴随着肾功能损害。然而,关于高尿酸血症肾病的研究很少,尤其是其与肠道菌群的关联。本研究结合代谢组学和肠道微生物群多样性分析,利用大鼠模型探索代谢变化以及肠道菌群组成的变化。结果表明,氨基酸代谢受到干扰,丝氨酸、谷氨酸和谷氨酰胺下调,而甘氨酸、羟脯氨酸和丙氨酸上调。联合甘氨酸、丝氨酸和谷氨酸可预测高尿酸血症肾病,曲线下面积为1.00。还观察到肠道菌群失衡。模型组中, 、 、 、 等条件致病菌显著增加,而短链脂肪酸产生菌 和 则大幅下降。在门、科和属水平上,检测到肠道微生物群中氮循环紊乱。在模型组中,尿酸分解途径增强,肝肠尿素循环加强。结果表明,肠道菌群在高尿酸血症肾病的发病机制中起重要作用。因此,调节肠道菌群或靶向代谢酶,如脲酶,可能有助于该病的治疗和预防。