Department of Gastroenterology, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266000, China.
Department of Cosmetic surgery, Kunming Medical University, Kunming, 650000, China.
BMC Microbiol. 2023 Jul 13;23(1):187. doi: 10.1186/s12866-023-02932-8.
Dysbiosis of the gut microbiota is closely linked to hyperuricemia. However, the effect of the microbiome on uric acid (UA) metabolism remains unclear. This study aimed to explore the mechanisms through which microbiomes affect UA metabolism with the hypothesis that modifying the intestinal microbiota influences the development of hyperuricemia.
We proposed combining an antibiotic strategy with protein-protein interaction analysis to test this hypothesis. The data demonstrated that antibiotics altered the composition of gut microbiota as UA increased, and that the spectrum of the antibiotic was connected to the purine salvage pathway. The antibiotic-elevated UA concentration was dependent on the increase in microbiomes that code for the proteins involved in purine metabolism, and was paralleled by the depletion of bacteria-coding enzymes required for the purine salvage pathway. On the contrary, the microbiota with abundant purine salvage proteins decreased hyperuricemia. We also found that the antibiotic-increased microbiota coincided with a higher relative abundance of bacteria in hyperuricemia mice.
An antibiotic strategy combined with the prediction of microbiome bacterial function presents a feasible method for defining the key bacteria involved in hyperuricemia. Our investigations discovered that the core microbiomes of hyperuricemia may be related to the gut microbiota that enriches purine metabolism related-proteins. However, the bacteria that enrich the purine salvage-proteins may be a probiotic for decreasing urate, and are more likely to be killed by antibiotics. Therefore, the purine salvage pathway may be a potential target for the treatment of both hyperuricemia and antibiotic resistance.
肠道微生物群落失调与高尿酸血症密切相关。然而,微生物组对尿酸(UA)代谢的影响仍不清楚。本研究旨在探索微生物组影响 UA 代谢的机制,假设通过改变肠道微生物群来影响高尿酸血症的发展。
我们提出了将抗生素策略与蛋白质-蛋白质相互作用分析相结合来验证这一假设。数据表明,抗生素改变了肠道微生物群落的组成,随着 UA 的增加,抗生素的作用范围与嘌呤补救途径有关。抗生素升高的 UA 浓度依赖于参与嘌呤代谢的蛋白质编码微生物组的增加,并且与嘌呤补救途径所需的细菌编码酶的消耗平行。相反,富含嘌呤补救蛋白的微生物组降低了高尿酸血症。我们还发现,抗生素增加的微生物组与高尿酸血症小鼠中更多的细菌相对丰度相吻合。
抗生素策略与微生物组细菌功能预测相结合,为定义参与高尿酸血症的关键细菌提供了一种可行的方法。我们的研究发现,高尿酸血症的核心微生物组可能与富含嘌呤代谢相关蛋白的肠道微生物组有关。然而,富含嘌呤补救蛋白的细菌可能是降低尿酸的益生菌,更有可能被抗生素杀死。因此,嘌呤补救途径可能是治疗高尿酸血症和抗生素耐药性的一个潜在靶点。