title: Metabolome strategy against Edwardsiella tarda infection through glucose-enhanced metabolic modulation in tilapias.
abstract: Edwardsiella tarda causes fish disease and great economic loss. However, metabolic strategy against the pathogen remains unexplored. In the present study, GC-MS based metabolomics was used to investigate the metabolic profile from tilapias infected by sublethal dose of E. tarda. The metabolic differences between the dying group and survival group allow the identification of key pathways and crucial metabolites during infections. More importantly, those metabolites may modulate the survival-related metabolome to enhance the anti-infective ability. Our data showed that tilapias generated two different strategies, survival-metabolome and death-metabolome, to encounter EIB202 infection, leading to differential outputs of the survival and dying. Glucose was the most crucial biomarker, which was upregulated and downregulated in the survival and dying groups, respectively. Exogenous glucose by injection or oral administration enhanced hosts' ability against EIB202 infection and increased the chances of survival. These findings highlight that host mounts the metabolic strategy to cope with bacterial infection, from which crucial biomarkers may be identified to enhance the metabolic strategy.
authors.affiliation: Department of Biological Sciences, The University of Texas, El Paso, TX 79968, USA.
authors.forename: Bo
authors.initials: B
authors.lastname: Peng
authors.affiliation: Center for Proteomics and Metabolomics, State Key Laboratory of Bio-Control, MOE Key Lab Aquatic Food Safety, School of Life Sciences, Sun Yat-sen University, University City, Guangzhou 510006, PR China.
authors.forename: Yan-Mei
authors.initials: YM
authors.lastname: Ma
authors.affiliation: Department of Biological Sciences, The University of Texas, El Paso, TX 79968, USA.
authors.forename: Jian-Ying
authors.initials: JY
authors.lastname: Zhang
authors.affiliation: Center for Proteomics and Metabolomics, State Key Laboratory of Bio-Control, MOE Key Lab Aquatic Food Safety, School of Life Sciences, Sun Yat-sen University, University City, Guangzhou 510006, PR China. Electronic address: lihui32@sysu.edu.cn.
authors.forename: Hui
authors.initials: H
authors.lastname: Li
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000032:analysis; D023681:Cichlids; D020609:Edwardsiella tarda / Q000502:physiology*; D004756:Enterobacteriaceae Infections / Q000378:metabolism / Q000382:microbiology / Q000662:veterinary*; D005393:Fish Diseases / Q000378:metabolism* / Q000382:microbiology; D008401:Gas Chromatography-Mass Spectrometry / Q000662:veterinary; D005947:Glucose / Q000378:metabolism*; D055442:Metabolome; D055432:Metabolomics; D015999:Multivariate Analysis
chemical_list: D015415:Biomarkers; D005947:Glucose
keywords: Biomarker; Edwardsiella tarda; Glucose; Metabolomics; Tilapias