Unknown

Dataset Information

0

Discovery, screening and evaluation of a plasma biomarker panel for subjects with psychological suboptimal health state using (1)H-NMR-based metabolomics profiles.


ABSTRACT: Individuals in the state of psychological suboptimal health keep increasing, only scales and questionnaires were used to diagnose in clinic under current conditions, and symptoms of high reliability and accuracy are destitute. Therefore, the noninvasive and precise laboratory diagnostic methods are needed. This study aimed to develop an objective method through screen potential biomarkers or a biomarker panel to facilitate the diagnosis in clinic using plasma metabolomics. Profiles were based on H-nuclear magnetic resonance ((1)H-NMR) metabolomics techniques combing with multivariate statistical analysis. Furthermore, methods of correlation analysis with Metaboanalyst 3.0 for selecting a biomarker panel, traditional Chinese medicine (TCM) drug intervention for validating the close relations between the biomarker panel and the state and the receiver operating characteristic curves (ROC curves) analysis for evaluation of clinical diagnosis ability were carried out. 9 endogenous metabolites containing trimethylamine oxide (TMAO), glutamine, N-acetyl-glycoproteins, citrate, tyrosine, phenylalanine, isoleucine, valine and glucose were identified and considered as potential biomarkers. Then a biomarker panel consisting of phenylalanine, glutamine, tyrosine, citrate, N-acetyl-glycoproteins and TMAO was selected, which exhibited the highest area under the curve (AUC?=?0.971). This study provided critical insight into the pathological mechanism of psychological suboptimal health and would supply a novel and valuable diagnostic method.

SUBMITTER: Tian JS 

PROVIDER: S-EPMC5030673 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Discovery, screening and evaluation of a plasma biomarker panel for subjects with psychological suboptimal health state using (1)H-NMR-based metabolomics profiles.

Tian Jun-Sheng JS   Xia Xiao-Tao XT   Wu Yan-Fei YF   Zhao Lei L   Xiang Huan H   Du Guan-Hua GH   Zhang Xiang X   Qin Xue-Mei XM  

Scientific reports 20160921


Individuals in the state of psychological suboptimal health keep increasing, only scales and questionnaires were used to diagnose in clinic under current conditions, and symptoms of high reliability and accuracy are destitute. Therefore, the noninvasive and precise laboratory diagnostic methods are needed. This study aimed to develop an objective method through screen potential biomarkers or a biomarker panel to facilitate the diagnosis in clinic using plasma metabolomics. Profiles were based on  ...[more]

Similar Datasets

| S-EPMC11292812 | biostudies-literature
| S-EPMC4324437 | biostudies-other
| S-EPMC8001698 | biostudies-literature
| S-EPMC6572582 | biostudies-literature
| S-EPMC4537470 | biostudies-literature
| S-EPMC3608878 | biostudies-literature
| S-EPMC8389671 | biostudies-literature
| S-EPMC7022985 | biostudies-literature
| S-EPMC6523085 | biostudies-other
| S-EPMC7073850 | biostudies-literature