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Metabolomics Analysis of Bacterial Pathogen Burkholderia thailandensis and Mammalian Host Cells in Co-culture.
Aiosa, Nicole; Sinha, Anupama; Jaiyesimi, Olakunle A; da Silva, Ricardo R; Branda, Steven S; Garg, Neha.
Afiliação
  • Aiosa N; School of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332-2000, United States.
  • Sinha A; Biotechnology & Bioengineering, Sandia National Laboratories, 7011 East Avenue, Livermore, California 94550, United States.
  • Jaiyesimi OA; School of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332-2000, United States.
  • da Silva RR; School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Av. do Café─Vila Monte Alegre, 14040-903 Ribeirão Preto-SP, Brazil.
  • Branda SS; Systems Biology, Sandia National Laboratories, 7011 East Avenue, Livermore, California 94550, United States.
  • Garg N; School of Chemistry and Biochemistry, Georgia Institute of Technology, 950 Atlantic Drive, Atlanta, Georgia 30332-2000, United States.
ACS Infect Dis ; 8(8): 1646-1662, 2022 08 12.
Article em En | MEDLINE | ID: mdl-35767828
ABSTRACT
The Tier 1 HHS/USDA Select Agent Burkholderia pseudomallei is a bacterial pathogen that is highly virulent when introduced into the respiratory tract and intrinsically resistant to many antibiotics. Transcriptomic- and proteomic-based methodologies have been used to investigate mechanisms of virulence employed by B. pseudomallei and Burkholderia thailandensis, a convenient surrogate; however, analysis of the pathogen and host metabolomes during infection is lacking. Changes in the metabolites produced can be a result of altered gene expression and/or post-transcriptional processes. Thus, metabolomics complements transcriptomics and proteomics by providing a chemical readout of a biological phenotype, which serves as a snapshot of an organism's physiological state. However, the poor signal from bacterial metabolites in the context of infection poses a challenge in their detection and robust annotation. In this study, we coupled mammalian cell culture-based metabolomics with feature-based molecular networking of mono- and co-cultures to annotate the pathogen's secondary metabolome during infection of mammalian cells. These methods enabled us to identify several key secondary metabolites produced by B. thailandensis during infection of airway epithelial and macrophage cell lines. Additionally, the use of in silico approaches provided insights into shifts in host biochemical pathways relevant to defense against infection. Using chemical class enrichment analysis, for example, we identified changes in a number of host-derived compounds including immune lipids such as prostaglandins, which were detected exclusively upon pathogen challenge. Taken together, our findings indicate that co-culture of B. thailandensis with mammalian cells alters the metabolome of both pathogen and host and provides a new dimension of information for in-depth analysis of the host-pathogen interactions underlying Burkholderia infection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Burkholderia / Metabolômica Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: ACS Infect Dis Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Burkholderia / Metabolômica Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: ACS Infect Dis Ano de publicação: 2022 Tipo de documento: Article