Next Article in Journal
Potentially Treatable Disorder Diagnosed Post Mortem by Exome Analysis in a Boy with Respiratory Distress
Next Article in Special Issue
Transcriptome and Gene Ontology (GO) Enrichment Analysis Reveals Genes Involved in Biotin Metabolism That Affect l-Lysine Production in Corynebacterium glutamicum
Previous Article in Journal
Tamoxifen Treatment of Breast Cancer Cells: Impact on Hedgehog/GLI1 Signaling
Previous Article in Special Issue
Multiple Evolutionary Selections Involved in Synonymous Codon Usages in the Streptococcus agalactiae Genome
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Int. J. Mol. Sci. 2016, 17(3), 307; doi:10.3390/ijms17030307

Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis

1
State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong, China
2
Research Centre of Infection and Immunology, The University of Hong Kong, Pokfulam, Hong Kong, China
3
Carol Yu Centre for Infection, The University of Hong Kong, Pokfulam, Hong Kong, China
4
Department of Microbiology, The University of Hong Kong, Pokfulam, Hong Kong, China
5
Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
6
Department of Pathology, The University of Hong Kong, Pokfulam, Hong Kong, China
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Academic Editor: Ting-Li (Morgan) Han
Received: 8 January 2016 / Revised: 15 February 2016 / Accepted: 22 February 2016 / Published: 27 February 2016
(This article belongs to the Special Issue Microbial Genomics and Metabolomics)
View Full-Text   |   Download PDF [3273 KB, uploaded 27 February 2016]   |  

Abstract

To 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
Keywords: Burkholderia pseudomallei; melioidosis; plasma; metabolomics; biomarkers Burkholderia pseudomallei; melioidosis; plasma; metabolomics; biomarkers
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never 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

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top