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Deciphering molecular mechanism of silver by integrated omic approaches enables enhancing its antimicrobial efficacy in E. coli.
Wang, Haibo; Yan, Aixin; Liu, Zhigang; Yang, Xinming; Xu, Zeling; Wang, Yuchuan; Wang, Runming; Koohi-Moghadam, Mohamad; Hu, Ligang; Xia, Wei; Tang, Huiru; Wang, Yulan; Li, Hongyan; Sun, Hongzhe.
Affiliation
  • Wang H; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
  • Yan A; School of Biological Sciences, The University of Hong Kong, Hong Kong, P. R. China.
  • Liu Z; CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, P. R. China.
  • Yang X; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
  • Xu Z; School of Biological Sciences, The University of Hong Kong, Hong Kong, P. R. China.
  • Wang Y; School of Chemistry, Sun Yat-sen University, Guangzhou, P. R. China.
  • Wang R; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
  • Koohi-Moghadam M; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
  • Hu L; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, P. R. China.
  • Xia W; School of Chemistry, Sun Yat-sen University, Guangzhou, P. R. China.
  • Tang H; State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Fudan University, Shanghai International Centre for Molecular Phenomics, Collaborative Innovation Centre for Genetics and Development, Shanghai, P. R. China.
  • Wang Y; Singapore Phenome Center, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
  • Li H; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
  • Sun H; Department of Chemistry, The University of Hong Kong, Hong Kong, P. R. China.
PLoS Biol ; 17(6): e3000292, 2019 06.
Article in En | MEDLINE | ID: mdl-31181061
ABSTRACT
Despite the broad-spectrum antimicrobial activities of silver, its internal usage is restricted, owing to the toxicity. Strategies to enhance its efficacy are highly desirable but rely heavily on the understanding of its molecular mechanism of action. However, up to now, no direct silver-targeting proteins have been mined at a proteome-wide scale, which hinders systemic studies on the biological pathways interrupted by silver. Herein, we build up a unique system, namely liquid chromatography gel electrophoresis inductively coupled plasma mass spectrometry (LC-GE-ICP-MS), allowing 34 proteins directly bound by silver ions to be identified in Escherichia coli. By using integrated omic approaches, including metalloproteomics, metabolomics, bioinformatics, and systemic biology, we delineated the first dynamic antimicrobial actions of silver (Ag+) in E. coli, i.e., it primarily damages multiple enzymes in glycolysis and tricarboxylic acid (TCA) cycle, leading to the stalling of the oxidative branch of the TCA cycle and an adaptive metabolic divergence to the reductive glyoxylate pathway. It then further damages the adaptive glyoxylate pathway and suppresses the cellular oxidative stress responses, causing systemic damages and death of the bacterium. To harness these novel findings, we coadministrated metabolites involved in the Krebs cycles with Ag+ and found that they can significantly potentiate the efficacy of silver both in vitro and in an animal model. Our study reveals the comprehensive and dynamic mechanisms of Ag+ toxicity in E. coli cells and offers a novel and general approach for deciphering molecular mechanisms of metallodrugs in various pathogens and cells to facilitate the development of new therapeutics.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Silver / Computational Biology / Escherichia coli Type of study: Prognostic_studies Language: En Journal: PLoS Biol Journal subject: BIOLOGIA Year: 2019 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Silver / Computational Biology / Escherichia coli Type of study: Prognostic_studies Language: En Journal: PLoS Biol Journal subject: BIOLOGIA Year: 2019 Type: Article