Back to Search
Start Over
LC-Q-TOF-MS based plasma metabolomic profile of subclinical pelvic inflammatory disease: A pilot study.
- Source :
-
Clinica Chimica Acta . Aug2018, Vol. 483, p164-169. 6p. - Publication Year :
- 2018
-
Abstract
- Background No index for non-invasive diagnosis of subclinical pelvic inflammatory disease (PID) is available at this time. Here we carried out a plasma metabolomic study to search for potential biomarkers to facilitate its non-invasive diagnosis. Method The metabolites in plasma were detected by using an LC-Q-TOF-MS method. The metabolic profiles of subclinical PID patients and healthy controls were discriminated by multivariate analysis. 30 patients and 28 controls were enrolled for PLS-DA model construction, and further 8 patients and 8 controls were employed for model validation. Univariate analysis was performed to evaluate potential biomarkers. Results The metabolic profiles of subclinical PID patients were different from those of healthy controls in a PLS-DA model, and this model was validated by permutation test and could accurately classify further 16 samples in T-prediction. Eleven differentiating metabolites, with the variable importance in the project >1 and corrected P < 0.05, were found as potential biomarkers. These metabolites included eight lipids, p-cresol, 3-indolepropionic acid and indoxylsulfuric acid. Among them, lysophosphatidic acid (16,0/0:0) showed a highest AUC value of receiver operating characteristic curve (0.855), with sensitivity of 89.3% and specificity of 73.3%. Conclusion Through an LC-Q-TOF-MS based metabolomic analysis on subclinical PID, this study reports the potential plasma biomarkers which may be helpful for its non-invasive diagnosis. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00098981
- Volume :
- 483
- Database :
- Academic Search Index
- Journal :
- Clinica Chimica Acta
- Publication Type :
- Academic Journal
- Accession number :
- 129921892
- Full Text :
- https://doi.org/10.1016/j.cca.2018.04.034