Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
AbstractTo identify potential biomarkers for improving diagnosis of melioidosis, we compared plasma metabolome profiles of melioidosis patients compared to patients with other bacteremia and controls without active infection, using ultra-high-performance liquid chromatography-electrospray ionization-quadruple time-of-flight mass spectrometry. Principal component analysis (PCA) showed that the metabolomic profiles of melioidosis patients are distinguishable from bacteremia patients and controls. Using multivariate and univariate analysis, 12 significant metabolites from four lipid classes, acylcarnitine (n = 6), lysophosphatidylethanolamine (LysoPE) (n = 3), sphingomyelins (SM) (n = 2) and phosphatidylcholine (PC) (n = 1), with significantly higher levels in melioidosis patients than bacteremia patients and controls, were identified. Ten of the 12 metabolites showed area-under-receiver operating characteristic curve (AUC) >0.80 when compared both between melioidosis and bacteremia patients, and between melioidosis patients and controls. SM(d18:2/16:0) possessed the largest AUC when compared, both between melioidosis and bacteremia patients (AUC 0.998, sensitivity 100% and specificity 91.7%), and between melioidosis patients and controls (AUC 1.000, sensitivity 96.7% and specificity 100%). Our results indicate that metabolome profiling might serve as a promising approach for diagnosis of melioidosis using patient plasma, with SM(d18:2/16:0) representing a potential biomarker. Since the 12 metabolites were related to various pathways for energy and lipid metabolism, further studies may reveal their possible role in the pathogenesis and host response in melioidosis. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lau, S.K.P.; Lee, K.-C.; Lo, G.C.S.; Ding, V.S.Y.; Chow, W.-N.; Ke, T.Y.H.; Curreem, S.O.T.; To, K.K.W.; Ho, D.T.Y.; Sridhar, S.; Wong, S.C.Y.; Chan, J.F.W.; Hung, I.F.N.; Sze, K.-H.; Lam, C.-W.; Yuen, K.-Y.; Woo, P.C.Y. Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis. Int. J. Mol. Sci. 2016, 17, 307.
Lau SKP, Lee K-C, Lo GCS, Ding VSY, Chow W-N, Ke TYH, Curreem SOT, To KKW, Ho DTY, Sridhar S, Wong SCY, Chan JFW, Hung IFN, Sze K-H, Lam C-W, Yuen K-Y, Woo PCY. Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis. International Journal of Molecular Sciences. 2016; 17(3):307.Chicago/Turabian Style
Lau, Susanna K.P.; Lee, Kim-Chung; Lo, George C.S.; Ding, Vanessa S.Y.; Chow, Wang-Ngai; Ke, Tony Y.H.; Curreem, Shirly O.T.; To, Kelvin K.W.; Ho, Deborah T.Y.; Sridhar, Siddharth; Wong, Sally C.Y.; Chan, Jasper F.W.; Hung, Ivan F.N.; Sze, Kong-Hung; Lam, Ching-Wan; Yuen, Kwok-Yung; Woo, Patrick C.Y. 2016. "Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis." Int. J. Mol. Sci. 17, no. 3: 307.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.