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

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

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-quadrup...

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Main Authors: 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.
Format: Online
Language:English
Published: MDPI 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813170/
id pubmed-4813170
recordtype oai_dc
spelling pubmed-48131702016-04-06 Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis 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. Article 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. MDPI 2016-02-27 /pmc/articles/PMC4813170/ /pubmed/26927094 http://dx.doi.org/10.3390/ijms17030307 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author 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.
spellingShingle 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.
Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
author_facet 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.
author_sort Lau, Susanna K. P.
title Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
title_short Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
title_full Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
title_fullStr Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
title_full_unstemmed Metabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
title_sort metabolomic profiling of plasma from melioidosis patients using uhplc-qtof ms reveals novel biomarkers for diagnosis
description 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.
publisher MDPI
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813170/
_version_ 1613559593724542976

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