摘要
分析抑郁症和心理亚健康的关联代谢生物标志物,为二者的临床诊断识别以及早期药物防治提供参考。筛选18例抑郁症患者和23例心理亚健康受试者,空腹采集其静脉血。采用1H-NMR代谢组学技术并结合单变量、多元统计、相关性以及倍数变化(Fold Change,FC)等分析方法,筛选二者内源性差异代谢物,并作为候选的关联代谢生物标志物,再以受试者工作曲线(receiver operating characteristic curve,ROC)对其诊断识别能力进行评估。选择1r1>0.6、FC>1.5为临界指标,对候选的代谢生物标志物进行筛选,候选的差异代谢物在两组受试者之间存在显著差异(P<0.05,0.01)。主要有3-OH-丁酸盐、醋酸盐、丙氨酸、甜菜碱和肉碱等。受试者工作曲线下面积(AUC)结果显示,肉碱、胆碱、组氨酸和脂质(AUC>0.85)对于关联抑郁症和心理亚健康,具有较高的诊断价值以及预测能力,为提高抑郁症临床诊断准确度和可信度开辟新途径,并为心理亚健康受试者的早期识别和防治,阻止其发展成为精神类疾病提供参考。
Many people in the modern society are inflicted with depression and psychological suboptimal health. Here we analyzed the metabolic biomarkers associated with these two conditions,aiming to provide a reference for the clinical diagnosis and identification as well as the early therapeutic prevention and treatment. 18 patients with depression and 23 suboptimal health subjects were screened,and their venous blood was collected. We used the method of ^1 H-NMR metabolomics,combined with the univariate analysis,multivariate statistics,correlation and Fold Change（ FC）,and screened the endogenousdifferential metabolites as potential metabolic biomarkers by 1 r1 〉0. 6 and FC 〉1. 5 as critical indicators. Metabolites including 3-OH-butyrate,acetate,alanine,betaine and carnitine and so on showed significant differences between the two groups（ P 〈0. 05,0. 01）. Then the receiver operating characteristic curve（ ROC） was used to assess the ability of identification and diagnosis. The area under the receiver operating characteristic curve（ AUC） showed that carnitine,choline,histidine,and lipid（ AUC 〉0. 85） had a high diagnostic value and predictive ability for associating depression and psychological suboptimal health. In summary,the present research could set up new measures for improving the accuracy and reliability of clinical diagnosis of depression. It will play a critical role in the early identification of psychological suboptimal health and prevent it from turning into mental diseases.
出处
《中国生物化学与分子生物学报》
CAS
CSCD
北大核心
2018年第2期204-212,共9页
Chinese Journal of Biochemistry and Molecular Biology
基金
国家自然科学基金项目(No.81441096)
山西省卫生和计划生育委员会项目(No.2014ZY01)
山西省科技研究计划(No.201603D321077
No.201603D3113013
No.201601D011122
No.201701D22111344)
山西省科技创新重点团队(No.201605D131045-18)
山西省重点实验室(No.201605D111004)资助~~
关键词
抑郁症
心理亚健康
相关分析
代谢生物标志物
受试者工作曲线
depression
psychological suboptimal health
correlation analysis
biomarkers
receiver operating characteristic curve
