Rapid Phenotypic Antibiotics Susceptibility Analysis by a 3D Printed Prototype

Author:

Riester Oliver12,Kaiser Lars1,Laufer Stefan234,Deigner Hans‐Peter156ORCID

Affiliation:

1. Institute of Precision Medicine Furtwangen University Jakob‐Kienzle‐Strasse 17 78054 Villingen‐Schwenningen Germany

2. Institute of Pharmaceutical Sciences Department of Pharmacy and Biochemistry Eberhard‐Karls‐University Tuebingen Auf der Morgenstelle 8 72076 Tuebingen Germany

3. Tuebingen Center for Academic Drug Discovery & Development (TüCAD2) 72076 Tuebingen Germany

4. IFIT Cluster of Excellence EXC 2180 ‘Image‐Guided and Functionally Instructed Tumor Therapies’ University of Tuebingen 72076 Tuebingen Germany

5. Faculty of Science Eberhard‐Karls‐University Tuebingen Auf der Morgenstelle 8 72076 Tuebingen Germany

6. EXIM Department Fraunhofer Institute IZI (Leipzig) Schillingallee 68 18057 Rostock Germany

Abstract

AbstractOne of the most important public health concerns is the increase in antibiotic‐resistant pathogens and corresponding treatment of associated infections. Addressing this challenge requires more efficient use of antibiotics, achievable by the use of evidence‐based, effective antibiotics identified by antibiotic susceptibility testing (AST). However, the current standard method of phenotypic AST used for this purpose requires 48 h or more from sample collection to result. Until results are available, broad‐spectrum antibiotics are used to avoid delaying treatment. The turnaround time must therefore be shortened in order for the results to be available before the second administration of antibiotics. The phenotypic electrochemical AST method presented here identifies effective antibiotics within 5–10 h after sampling. Spiked serum samples, including polymicrobial samples, with clinically relevant pathogens and respective concentrations commonly found in bloodstream infections (Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas aeruginosa) are used. Direct loading of the test with diluted serum eliminates the need for a pre‐culture, as required by existing methods. Furthermore, by combining several electrochemical measurement procedures with computational analysis, allowing the method to be used both online and offline, the AST achieves a sensitivity of 94.44% and a specificity of 95.83% considering each replicate individually.

Funder

Bundesministerium für Bildung, Wissenschaft und Forschung

Publisher

Wiley

Reference45 articles.

1. United Nations meeting on antimicrobial resistance

2. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis

3. Centers for Disease Control and Prevention “Antibiotic Resistance Threats in the United States 2019” https://www.cdc.gov/drugresistance/biggest‐threats.html (accessed: June 2023).

4. Global contributors to antibiotic resistance

5. Global antibiotic consumption and usage in humans, 2000–18: a spatial modelling study

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