Comparative chemomicrobiomic analysis of bacteriocins
https://doi.org/10.17749/2070-4909/farmakoekonomika.2023.192
Abstract
Objective: comprehensive analysis of the spectrum of antibacterial action of bactеriocins.
Material and methods. Chemomicrobiome analysis of bacteriocins A/B, C, S, 28b, RS-2020 was performed to assess the minimum inhibitory concentration (MIC) values for 152 strains of pathogenic bacteria and the area under the growth curve (AUC) values for a representative sample of normobiota (38 human commensal bacteria).
Results. Compared to other molecules, bacteriocin C was characterized by lower MIC constants for a wide range of pathogenic bacterial strains. Thus, it more effectively inhibited strains of pathogens of bacterial pneumonia (H. influenzae, S. mutans, S. pneumoniae, S. pyogenes), nosocomial infections (K. pneumoniae, P. aeruginosa, S. aureus, S. epidermidis, S. pneumoniae), skin diseases (M. audouinii, T. mentagrophytes, etc.), urinary tract infections (E. cloacae, P. mirabilis and P. vulgaris), Fusobacterium necrophorum and Candida fungi. At the same time, bacteriocin C to a lesser extent than the reference molecules inhibited the growth of the normophysiological microbiota of the Bacteroides, Enterococcus genera, non-pathogenic Escherichia, yeast S. cerevisiae and others. By stimulating butyrate (butyric anion) producing microorganisms, bacteriocin C can exhibit prebiotic properties.
Conclusion. The main structural features of the bacteriocin C molecule associated with the antibacterial effect on pathogenic microbiota were identified and described.
Keywords
Bacterial pathogens,
human microbiome,
area under the growth curve,
AUC,
pharmacoinformatics,
chemoinformatics,
chemograph analysis
Supporting agencies: The work was supported by a grant from the Russian Science Foundation (project no. 23-21-00154 “Development of methods for predicting the properties of pharmacological preparations by their molecular structure using the theory of topological analysis of chemographs”).
About the Authors
I. Yu. Torshin
Federal Research Center “Computer Science and Control”, Russian Academy of Sciences
Russian Federation
Russian Federation
Ivan Yu. Torshin – PhD (Phys. Math.), PhD (Chem.), Senior Researcher
WoS ResearcherID: C-7683-2018; Scopus Author ID: 7003300274
44 corp. 2 Vavilov Str., Moscow 119333
O. A. Gromova
Federal Research Center “Computer Science and Control”, Russian Academy of Sciences
Russian Federation
Russian Federation
Olga A. Gromova – Dr. Med. Sc., Professor, Leading Researcher
WoS ResearcherID: J-4946-2017; Scopus Author ID: 7003589812
44 corp. 2 Vavilov Str., Moscow 119333
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Review
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Torshin I.Yu., Gromova O.A. Comparative chemomicrobiomic analysis of bacteriocins. FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology. 2023;16(4):643-656. (In Russ.) https://doi.org/10.17749/2070-4909/farmakoekonomika.2023.192
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