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Article: Lipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia

TitleLipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia
Authors
Issue Date2015
PublisherWB Saunders Co Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jinf
Citation
Journal of Infection, 2015, v. 70 n. 5, p. 433-444 How to Cite?
AbstractObjectives: Rapid diagnostic tests for bacteremia are important for early treatment to improve clinical outcome. We sought to identify plasma biomarkers that can identify patients with bacteremia using an untargeted global metabolomic analysis. Methods: Plasma metabolomic profiles were analyzed for 145 adult patients with (cases) and without (controls) bacteremia using ultra-high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). All metabolites were compared between cases and controls using a 2-tier filtering approach, and each metabolite underwent receiver operating characteristic (ROC) curve analysis. Individual metabolites that distinguish between cases and controls were characterized. Subgroup analysis was performed to identify metabolites with prognostic significance. Results: After 2-tier filtering, 128 molecular features were identified to be potential biomarkers that could distinguish cases from controls. Five metabolites had an area under the ROC curve (AUC) of >0.8 in ROC curve analysis, including a sphingolipid, an acylcarnitine, a fatty acid ester, and 2 glycerophosphocholines. These metabolites could distinguish cases from controls in the unsupervised hierarchical clustering analysis. Subgroup analysis of bacteremic patients showed that the level of trans-2,3,4-trimethoxycinnamate was lower in fatal than non-fatal cases. Conclusions: Plasma lipid mediators of inflammation can distinguish bacteremia cases from non-bacteremia controls. These biomarkers may be used as targets for rapid test in clinical practice. © 2015 The British Infection Association.
Persistent Identifierhttp://hdl.handle.net/10722/211841
ISSN
2015 Impact Factor: 4.382
2015 SCImago Journal Rankings: 2.070
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTo, KKW-
dc.contributor.authorLee, KC-
dc.contributor.authorWong, SSY-
dc.contributor.authorLo, KC-
dc.contributor.authorLui, YM-
dc.contributor.authorAkhee, SJ-
dc.contributor.authorWu, L-
dc.contributor.authorKe, Y-
dc.contributor.authorLaw, CY-
dc.contributor.authorSze, KH-
dc.contributor.authorLau, SKP-
dc.contributor.authorWoo, PCY-
dc.contributor.authorLam, CW-
dc.contributor.authorYuen, KY-
dc.date.accessioned2015-07-21T02:13:00Z-
dc.date.available2015-07-21T02:13:00Z-
dc.date.issued2015-
dc.identifier.citationJournal of Infection, 2015, v. 70 n. 5, p. 433-444-
dc.identifier.issn0163-4453-
dc.identifier.urihttp://hdl.handle.net/10722/211841-
dc.description.abstractObjectives: Rapid diagnostic tests for bacteremia are important for early treatment to improve clinical outcome. We sought to identify plasma biomarkers that can identify patients with bacteremia using an untargeted global metabolomic analysis. Methods: Plasma metabolomic profiles were analyzed for 145 adult patients with (cases) and without (controls) bacteremia using ultra-high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). All metabolites were compared between cases and controls using a 2-tier filtering approach, and each metabolite underwent receiver operating characteristic (ROC) curve analysis. Individual metabolites that distinguish between cases and controls were characterized. Subgroup analysis was performed to identify metabolites with prognostic significance. Results: After 2-tier filtering, 128 molecular features were identified to be potential biomarkers that could distinguish cases from controls. Five metabolites had an area under the ROC curve (AUC) of >0.8 in ROC curve analysis, including a sphingolipid, an acylcarnitine, a fatty acid ester, and 2 glycerophosphocholines. These metabolites could distinguish cases from controls in the unsupervised hierarchical clustering analysis. Subgroup analysis of bacteremic patients showed that the level of trans-2,3,4-trimethoxycinnamate was lower in fatal than non-fatal cases. Conclusions: Plasma lipid mediators of inflammation can distinguish bacteremia cases from non-bacteremia controls. These biomarkers may be used as targets for rapid test in clinical practice. © 2015 The British Infection Association.-
dc.languageeng-
dc.publisherWB Saunders Co Ltd. The Journal's web site is located at http://www.elsevier.com/locate/jinf-
dc.relation.ispartofJournal of Infection-
dc.rightsPosting accepted manuscript (postprint): © <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.titleLipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia-
dc.typeArticle-
dc.identifier.emailTo, KKW: kelvinto@hkucc.hku.hk-
dc.identifier.emailLee, KC: lee1983@hku.hk-
dc.identifier.emailWong, SSY: samsonsy@hkucc.hku.hk-
dc.identifier.emailAkhee, SJ: akhee@hku.hk-
dc.identifier.emailWu, L: wuling89@HKUCC-COM.hku.hk-
dc.identifier.emailLaw, CY: ericlaw@pathology.hku.hk-
dc.identifier.emailSze, KH: khsze@hku.hk-
dc.identifier.emailLau, SKP: skplau@hkucc.hku.hk-
dc.identifier.emailWoo, PCY: pcywoo@hkucc.hku.hk-
dc.identifier.emailLam, CW: ching-wanlam@pathology.hku.hk-
dc.identifier.emailYuen, KY: kyyuen@hkucc.hku.hk-
dc.identifier.authorityTo, KKW=rp01384-
dc.identifier.authorityWong, SSY=rp00395-
dc.identifier.authorityLaw, CY=rp01586-
dc.identifier.authoritySze, KH=rp00785-
dc.identifier.authorityLau, SKP=rp00486-
dc.identifier.authorityWoo, PCY=rp00430-
dc.identifier.authorityLam, CW=rp00260-
dc.identifier.authorityYuen, KY=rp00366-
dc.identifier.doi10.1016/j.jinf.2015.02.011-
dc.identifier.pmid25727996-
dc.identifier.scopuseid_2-s2.0-84927004125-
dc.identifier.hkuros245378-
dc.identifier.volume70-
dc.identifier.issue5-
dc.identifier.spage433-
dc.identifier.epage444-
dc.identifier.isiWOS:000352700200001-
dc.publisher.placeUnited Kingdom-

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