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

TitleMetabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis
Authors
KeywordsBurkholderia pseudomallei
Melioidosis
Biomarkers
Metabolomics
Plasma
Issue Date2016
PublisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijms
Citation
International Journal of Molecular Sciences, 2016, v. 17 n. 3, p. 307 How to Cite?
Abstract© 2016 by the authors; licensee MDPI, Basel, Switzerland.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.
Persistent Identifierhttp://hdl.handle.net/10722/229685
ISSN
2015 Impact Factor: 3.257
2015 SCImago Journal Rankings: 1.160
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorLau, SKP-
dc.contributor.authorLee, KC-
dc.contributor.authorLO, CS-
dc.contributor.authorDing, SY-
dc.contributor.authorChow, WN-
dc.contributor.authorKe, Y-
dc.contributor.authorCurreem, SOT-
dc.contributor.authorTo, KKW-
dc.contributor.authorHo, TY-
dc.contributor.authorSridhar, S-
dc.contributor.authorWong, SC-
dc.contributor.authorChan, JFW-
dc.contributor.authorHung, FNI-
dc.contributor.authorSze, KH-
dc.contributor.authorLam, CW-
dc.contributor.authorYuen, KY-
dc.contributor.authorWoo, PCY-
dc.date.accessioned2016-08-23T14:12:39Z-
dc.date.available2016-08-23T14:12:39Z-
dc.date.issued2016-
dc.identifier.citationInternational Journal of Molecular Sciences, 2016, v. 17 n. 3, p. 307-
dc.identifier.issn1422-0067-
dc.identifier.urihttp://hdl.handle.net/10722/229685-
dc.description.abstract© 2016 by the authors; licensee MDPI, Basel, Switzerland.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.-
dc.languageeng-
dc.publisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijms-
dc.relation.ispartofInternational Journal of Molecular Sciences-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBurkholderia pseudomallei-
dc.subjectMelioidosis-
dc.subjectBiomarkers-
dc.subjectMetabolomics-
dc.subjectPlasma-
dc.titleMetabolomic Profiling of Plasma from Melioidosis Patients Using UHPLC-QTOF MS Reveals Novel Biomarkers for Diagnosis-
dc.typeArticle-
dc.identifier.emailLau, SKP: skplau@hkucc.hku.hk-
dc.identifier.emailDing, SY: sydin1@hku.hk-
dc.identifier.emailTo, KKW: kelvinto@hkucc.hku.hk-
dc.identifier.emailHo, TY: tipyinho@HKUCC-COM.hku.hk-
dc.identifier.emailSridhar, S: sid8998@hku.hk-
dc.identifier.emailChan, JFW: jfwchan@hku.hk-
dc.identifier.emailHung, FNI: ivanhung@hkucc.hku.hk-
dc.identifier.emailSze, KH: khsze@hku.hk-
dc.identifier.emailLam, CW: ching-wanlam@pathology.hku.hk-
dc.identifier.emailYuen, KY: kyyuen@hkucc.hku.hk-
dc.identifier.emailWoo, PCY: pcywoo@hkucc.hku.hk-
dc.identifier.authorityLau, SKP=rp00486-
dc.identifier.authorityTo, KKW=rp01384-
dc.identifier.authorityChan, JFW=rp01736-
dc.identifier.authorityHung, FNI=rp00508-
dc.identifier.authoritySze, KH=rp00785-
dc.identifier.authorityLam, CW=rp00260-
dc.identifier.authorityYuen, KY=rp00366-
dc.identifier.authorityWoo, PCY=rp00430-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/ijms17030307-
dc.identifier.pmid26927094-
dc.identifier.pmcidPMC4813170-
dc.identifier.scopuseid_2-s2.0-84959422680-
dc.identifier.hkuros262239-
dc.identifier.volume17-
dc.identifier.issue3-
dc.identifier.spage307-
dc.identifier.epage307-
dc.publisher.placeSwitzerland-

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