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Abstract

Bioinformatics Supported Liquid Chromatography–Mass Spectrometry for Characterization of Bacterial Metabolites †

by
Elwira Sieniawska
Department of Natural Products Chemistry, Medical University of Lublin, Chodzki 1 Str., 20-093 Lublin, Poland
Presented at the 17th International Symposium “Priorities of Chemistry for a Sustainable Development” PRIOCHEM, Bucharest, Romania, 27–29 October 2021.
Chem. Proc. 2022, 7(1), 66; https://doi.org/10.3390/chemproc2022007066
Published: 20 April 2022

1. Introduction

Metabolomics enables the comprehensive characterization of the set of low-molecular-weight compounds that are starting, intermediate, or end products of metabolic transformations in living organisms. Therefore, metabolomics provides information about the mechanisms of action of new potential drugs [1]. Metabolomic fingerprinting or footprinting supported by bioinformatics provides a powerful tool for a comprehensive description of perturbations observed within bacteria, indicating up- or down-regulated bacterial molecules, and altered metabolic pathways [2]. In this sense, metabolomics depicts the metabolic response of bacteria to stress induced by natural products.

2. Materials and Methods

Because this field is poorly explored, new findings of the influence of plant-based and medicinal plant-derived compounds on the bacteria metabolism studied with LC-MS metabolomics will be presented.

3. Results

This research provides insights into novel molecular targets within bacteria, identifies biomarkers of cellular stress and indicates how the reorganization of the cell envelope impacts bacteria survival under the influence of inhibiting agents.

4. Conclusions

LC-MS metabolomics supported by bioinformatics is a powerful tool for the determination of changes in bacterial metabolism.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The author declare no conflict of interest.

References

  1. Sieniawska, E.; Georgiev, M.I. Metabolomics: Towards acceleration of antibacterial plant-based leads discovery. Phytochem. Rev. 2021, 1–17. [Google Scholar] [CrossRef]
  2. Sieniawska, E.; Sawicki, R.; Golus, J.; Georgiev, M.I. Untargetted metabolomic exploration of the Mycobacterium tuberculosis stress response to cinnamon essential oil. Biomolecules 2020, 10, 357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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MDPI and ACS Style

Sieniawska, E. Bioinformatics Supported Liquid Chromatography–Mass Spectrometry for Characterization of Bacterial Metabolites. Chem. Proc. 2022, 7, 66. https://doi.org/10.3390/chemproc2022007066

AMA Style

Sieniawska E. Bioinformatics Supported Liquid Chromatography–Mass Spectrometry for Characterization of Bacterial Metabolites. Chemistry Proceedings. 2022; 7(1):66. https://doi.org/10.3390/chemproc2022007066

Chicago/Turabian Style

Sieniawska, Elwira. 2022. "Bioinformatics Supported Liquid Chromatography–Mass Spectrometry for Characterization of Bacterial Metabolites" Chemistry Proceedings 7, no. 1: 66. https://doi.org/10.3390/chemproc2022007066

APA Style

Sieniawska, E. (2022). Bioinformatics Supported Liquid Chromatography–Mass Spectrometry for Characterization of Bacterial Metabolites. Chemistry Proceedings, 7(1), 66. https://doi.org/10.3390/chemproc2022007066

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