血浆代谢轮廓分析在慢性肾脏病早期诊断中的应用价值  

Application Value of Plasma Metabolic Profile Analysis in Early Diagnosis of Chronic Kidney Disease

作　　者：樊子勉 张俊 江蔓 张文龙[4] 陈春燕[5] FAN Zi-mian;ZHANG Jun;JIANG Man;ZHANG Wen-long;CHEN Chun-yan(Laboratory Department of Chengdu Sixth People's Hospital,Chengdu,Sichuan,610051,China;Laboratory Department of Chengdu Women and Children's Center Hospital,Chengdu,Sichuan,610073,China;Department of Renal Medicine of Chengdu Sixth People's Hospital,Chengdu,Sichuan,610051,China;Endocrinology Department of Chengdu Second People's Hospital,Chengdu,Sichuan,610021,China;Laboratory Department of Dazhou Integrated Traditional Chinese and Western Medicine Hospital,Dazhou,Sichuan,635099,China)

机构地区：[1]成都市第六人民医院检验科,四川成都610051 [2]成都市妇女儿童中心医院检验科,四川成都610073 [3]成都市第六人民医院肾内科,四川成都610051 [4]成都市第二人民医院内分泌科,四川成都610021 [5]达州市中西医结合医院检验科,四川达州635099

出　　处：《现代生物医学进展》2023年第17期3345-3348,3375,共5页Progress in Modern Biomedicine

基　　金：成都市医学科研基金项目(2021353)。

摘　　要：目的:探究血浆代谢轮廓分析在慢性肾脏病早期诊断中的应用价值。方法:选取我院在2019-2021收治的120例慢性肾病(CKD)患者,运用相色谱-四级杆飞行时间质谱(liquid chromatography quadrupole time-of-flight mass spectrometry,LC-QTOF/MS)联用技术对参与本次研究的患者的血浆样品进行非靶向代谢组学分析,判断不同时期慢性肾病患者与健康对照者的血浆代谢轮廓谱,同时利用多变量结合单变量统计分析方法筛选差异代谢物。结果:慢性肾脏病(CKD)肌酐、尿酸、尿素、血红蛋白等检测物质多项生化指标异常,且据统计分析可知,在不同阶段CKD患者的血浆中找到了多种差异化合物,其中磺基丙氨鞘酸、氨醇-1-磷酸、醛固酮差异显著。结论:研究证明血浆代谢轮廓分析可以增进对慢性肾病发病机制的了解,为之后早期诊断慢性肾病具有重大意义,值得推广与应用。Objective:To explore the application value of plasma metabolic profile analysis in the early diagnosis of chronic kidney disease.Methods:120 patients with chronic kidney disease(CKD)admitted to our hospital from 2019 to 2021 were selected to perform non-targeted metabonomic analysis of plasma samples of patients with chronic kidney disease(CKD)in different periods and healthy controls by using liquid chromatography-quadrupole time-of-flight mass spectrometry(LC-QTOF/MS),At the same time,multivariable and univariate statistical analysis methods were used to screen differential metabolites.Results:Many biochemical indexes of creatinine,uric acid,urea,hemoglobin and other test substances in patients with chronic kidney disease(CKD)were abnormal.According to statistical analysis,a variety of different compounds were found in the plasma of patients with CKD at different stages.Among them,there were significant differences in sulfonylalanine sheath acid,aminool-1-phosphate,and aldosterone.Conclusion:The study has proved that plasma metabolic profile analysis can improve the understanding of the pathogenesis of chronic kidney disease,which is of great significance for the early diagnosis of chronic kidney disease in the future,and is worthy of promotion and application.

关 键 词：慢性肾脏病 代谢组学 生物标志物 

分 类 号：R692[医药卫生—泌尿科学] R446.1[医药卫生—外科学]