Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Core facilities Center, Capital Medical University, Beijing 100069, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Aug 15;1124:290-297. doi: 10.1016/j.jchromb.2019.06.022. Epub 2019 Jun 21.
Urolithiasis is a common urological disease with a high morbidity and recurrence rate, of which calcium oxalate (CaOx) is the most common type of stone that underlies the disease. However, the potential metabolic mechanisms of CaOx urolithiasis remain unclear. The present study aimed to seek potential biomarkers and metabolic mechanisms of CaOx urolithiasis in adults. Urine samples were collected from 36 healthy individuals and 36 patients diagnosed with bilateral upper-urinary-tract stones. All of the stones were composed of CaOx. Ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to perform a metabolic fingerprinting analysis. Principal component analysis (PCA) and orthogonal partial least-squares determinant analysis (OPLS-DA) were carried out to analyze the multivariate data. There were 18 differential metabolites identified, which mainly involved caffeine, phenylalanine, galactose, and tyrosine metabolism. The results revealed potential urinary biomarkers, via metabolic fingerprinting of adults with CaOx urolithiasis, which may help to improve future metabolic evaluation of urolithiasis. The elucidated metabolic pathways may have potential applications as novel treatment targets of CaOx urolithiasis. Additionally, our study suggests that the UPLC-Q-TOF/MS platform may offer new insights into the pathobiology of urolithiasis.
尿石症是一种常见的泌尿外科疾病,其发病率和复发率均较高,其中草酸钙(CaOx)是最常见的结石类型,也是导致该病的主要原因。然而,CaOx 尿石症的潜在代谢机制仍不清楚。本研究旨在寻找成人 CaOx 尿石症的潜在生物标志物和代谢机制。收集了 36 名健康个体和 36 名双侧上尿路结石患者的尿液样本。所有结石均由 CaOx 组成。采用超高效液相色谱-四极杆飞行时间质谱联用(UPLC-Q-TOF/MS)进行代谢指纹图谱分析。采用主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)对多变量数据进行分析。共鉴定出 18 种差异代谢物,主要涉及咖啡因、苯丙氨酸、半乳糖和酪氨酸代谢。这些结果揭示了成人 CaOx 尿石症潜在的尿生物标志物,通过代谢指纹图谱分析,可能有助于改善未来对尿石症的代谢评估。阐明的代谢途径可能作为 CaOx 尿石症的新型治疗靶点具有潜在应用价值。此外,本研究表明 UPLC-Q-TOF/MS 平台可能为尿石症的病理生物学提供新的见解。