Lipid metabolites as potential diagnostic and prognostic biomarkers for acute community acquired pneumonia.

Autor: To KK; State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR, China; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Lee KC; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Wong SS; State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR, China; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Sze KH; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Ke YH; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Lui YM; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Tang BS; Department of Pathology, Hong Kong Sanatorium Hospital, Hong Kong SAR, China., Li IW; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Lau SK; State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR, China; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China., Hung IF; State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR, China; Department of Medicine, The University of Hong Kong, Hong Kong SAR, China., Law CY; Department of Pathology, The University of Hong Kong Hong Kong SAR, China., Lam CW; Department of Pathology, The University of Hong Kong Hong Kong SAR, China., Yuen KY; State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China; Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong SAR, China; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong SAR, China; Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China. Electronic address: kyyuen@hku.hk.
Jazyk: angličtina
Zdroj: Diagnostic microbiology and infectious disease [Diagn Microbiol Infect Dis] 2016 Jun; Vol. 85 (2), pp. 249-54. Date of Electronic Publication: 2016 Mar 14.
DOI: 10.1016/j.diagmicrobio.2016.03.012
Abstrakt: Early diagnosis of acute community-acquired pneumonia (CAP) is important in patient triage and treatment decisions. To identify biomarkers that distinguish patients with CAP from non-CAP controls, we conducted an untargeted global metabolome analysis for plasma samples from 142 patients with CAP (CAP cases) and 97 without CAP (non-CAP controls). Thirteen lipid metabolites could discriminate between CAP cases and non-CAP controls with area-under-the-receiver-operating-characteristic curve of >0.8 (P ≤ 10(-9)). The levels of glycosphingolipids, sphingomyelins, lysophosphatidylcholines and L-palmitoylcarnitine were higher, while the levels of lysophosphatidylethanolamines were lower in the CAP cases than those in non-CAP controls. All 13 metabolites could distinguish CAP cases from the non-infection, extrapulmonary infection and non-CAP respiratory tract infection subgroups. The levels of trihexosylceramide (d18:1/16:0) were higher, while the levels of lysophosphatidylethanolamines were lower, in the fatal than those of non-fatal CAP cases. Our findings suggest that lipid metabolites are potential diagnostic and prognostic biomarkers for CAP.
(Copyright © 2016 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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