Lipid mediators of inflammation as novel plasma biomarkers to identify patients with bacteremia
| Autor: | Kelvin K. W. To, Yin-Ming Lui, Ka-Ching Lo, Kwok-Yung Yuen, Ching-Wan Lam, Kong-Hung Sze, Susanna K. P. Lau, Chun-Yiu Law, Andrea L. Wu, Kim-Chung Lee, Akhee Sabiha Jahan, Yi-Hong Ke, Samson S. Y. Wong, Patrick C. Y. Woo |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Microbiology (medical) medicine.medical_specialty Pathology Metabolite Bacteremia Inflammation Subgroup analysis Biology Gastroenterology chemistry.chemical_compound Metabolomics Carnitine Internal medicine medicine Humans Chromatography High Pressure Liquid Aged Aged 80 and over Sphingolipids Receiver operating characteristic Fatty Acids Middle Aged Prognosis medicine.disease Lipids Sphingolipid Infectious Diseases ROC Curve chemistry Biomarker (medicine) Female Inflammation Mediators medicine.symptom Biomarkers |
| Zdroj: | Journal of Infection. 70:433-444 |
| ISSN: | 0163-4453 |
| DOI: | 10.1016/j.jinf.2015.02.011 |
| Popis: | Summary Objectives 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. |
| Databáze: | OpenAIRE |
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