Association of Serum Metabolites and Salt Sensitivity of Blood Pressure in Chinese Population: The EpiSS Study

被引:4
|
作者
Zhang, Fengxu [1 ,2 ]
Xie, Yunyi [1 ,2 ]
Yang, Xiaojun [1 ,2 ]
Peng, Wenjuan [1 ,2 ]
Qi, Han [1 ,2 ]
Li, Bingxiao [1 ,2 ]
Wen, Fuyuan [1 ,2 ]
Li, Pandi [1 ,2 ]
Sun, Yuan [1 ,2 ]
Zhang, Ling [1 ,2 ]
机构
[1] Capital Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Beijing 100069, Peoples R China
[2] Beijing Municipal Key Lab Clin Epidemiol, Beijing 100069, Peoples R China
基金
中国国家自然科学基金;
关键词
metabolomics; salt sensitivity; blood pressure; biomarkers; diagnostic efficiency; SODIUM SENSITIVITY; HYPERTENSION; IDENTIFICATION; METABOLOMICS; URINARY;
D O I
10.3390/nu15030690
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: To identify novel metabolites associated with salt sensitivity of blood pressure (SSBP) in Chinese Han population. Methods: A case-control study was conducted with 25 salt sensitive (SS) and 26 salt resistant (SR) participants, which was selected from the Systems Epidemiology Study on Salt Sensitivity of Blood Pressure (EpiSS) study. The modified Sullivan's acute oral saline load and diuresis shrinkage test (MSAOSL-DST) was conducted to identify SS. Untargeted, ultra-high performance liquid chromatograph-high resolution mass spectrometer (UPLC-HRMS) was conducted and orthogonal partial least squares-discriminate analysis (OPLS-DA) and multivariable logistic regression model were used to screen the metabolites related to SS, mixed linear regressions models were used to examined the association of SSBP with metabolites during saline load period and diuresis shrinkage period. Receiver operating characteristic (ROC) curve analysis was performed. The area under the curve's (AUC) sensitivity and specificity were calculated to identified metabolites biomarkers for SS. Results: There were 39 differentially expressed metabolites (DE-metabolites) between SS and SR. Thirty-five and four of DE-metabolites were inversely or positively associated with SS, respectively. Four biochemical pathways demonstrated significant enrichment for identified metabolites. In single-metabolite analyses, L-Glutamine displayed the best diagnostic performance (AUC = 0.88, 95% CI: 0.78-0.97). In multi-metabolites analyses, L-Glutamine + Cholesterol ester 22:5n6 combination showed the best diagnostic performance (AUC = 0.96, 95% CI: 0.91-1.00). Adjusted for traditional risk factors, L-Glutamine and Cholesterol ester 22:5n6 explained an additional 38.3% of SS susceptibility. Conclusions: This study provide potential evidence for clarifying the mechanism of SS and provide novel biological insights into salt sensitive hypertension.
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页数:13
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