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[Bacteria survival strategies in contact with antibiotics.]

Igor V ChebotarY A BocharovaAlexander S Gur'evNikolay Mayanskiy
Published in: Klinicheskaia laboratornaia diagnostika (2020)
Bacteria survival in the conditions of antimicrobial therapy is the global problem of health care. This review highlights the complexity and diversity of mechanisms used by bacteria to neutralize antibiotics. To analyze the problem, the search was made using PubMed database, Russian scientific electronic library eLIBRARY, search system of World Health Organization and European Society of Clinical Microbiology and Infectious Diseases (ESCMID). Based on the analysis of survival strategies in the conditions of antibiotics action we propose new classification of resistant bacteria. Classification criteria include the ability to divide under antibiotics action, the survival strategies application as a species trait, the presence of specialized genes determining the transition to the state with reduced/stopped metabolism. Two main groups are resistant bacteria and bacteria with reduced/stopped metabolism, which survive but do not divide in the presence of antibiotic. The first group includes two subgroups: bacteria with intrinsic and adaptive resistance. The second group includes (1) bacteria with specialized genes responsible for cell transformation to the state with reduced/stopped metabolism, (2) bacteria transforming to the state with reduced/stopped metabolism without involvement of special genes, and (3) cell forms with special morphology - spores, cysts and cyst-like cells. We described the usefulness of proposed classification including improved understanding of the correlation between bacteria survival in the presence of antibiotics and molecular mechanism of cell metabolism inhibition, presence or absence of targets for using molecular-genetic methods of bacteria resistant variant determination, the possibility for development of rational antimicrobial therapy methods.
Keyphrases
  • healthcare
  • machine learning
  • deep learning
  • single cell
  • staphylococcus aureus
  • stem cells
  • mass spectrometry
  • social media
  • molecularly imprinted
  • copy number
  • health information