Phenotypic antibiotic susceptibility testing of pathogenic bacteria using photonic readout methods: recent

Astrid Tannert1,2, Richard Grohs3, Jürgen Popp1,2,3,4,5

  • 1Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745, Jena, Germany.

Insights

Rapid antibiotic susceptibility testing (AST) is crucial for treating infections like sepsis. This review focuses on fast, photonic phenotypic assays to quickly determine pathogen resistance profiles, improving patient outcomes.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Biotechnology

Background:

  • Antibiotic resistance in pathogens poses a significant therapeutic challenge, particularly in severe infections like sepsis.
  • Current standard antibiotic susceptibility testing (AST) methods are slow (24-72 hours), delaying effective treatment.
  • Faster AST is critical for timely initiation of appropriate antibiotic therapy and improved patient outcomes.

Purpose of the Study:

  • To review and critically assess current advancements in rapid phenotypic antibiotic susceptibility testing (AST) methods.
  • To focus on assays utilizing photonic approaches for fast detection of antibiotic resistance profiles.
  • To outline the necessary steps for translating these rapid AST assays into clinical practice.

Main Methods:

  • Review of current literature on rapid phenotypic antibiotic susceptibility testing (AST) methods.
  • Focus on assays employing photonic detection principles.
  • Analysis of genotypic versus phenotypic approaches for resistance detection.

Main Results:

  • Several rapid phenotypic AST assays using photonic approaches are under development.
  • These methods aim to provide faster results compared to traditional culture-based methods.
  • Challenges remain in bringing these novel assays to widespread clinical adoption.

Conclusions:

  • Rapid phenotypic AST, particularly using photonic methods, holds promise for improving infection management.
  • Accelerating the determination of antibiotic resistance profiles is essential for effective treatment.
  • Further development and validation are needed to integrate these advanced assays into routine clinical workflows.

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