Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy

Wenshuai Li, Jingqi Li, Hua Xu, Hongmei Gao and Dingbin Liu ()
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Wenshuai Li: Nankai University
Jingqi Li: Nankai University
Hua Xu: Nankai University
Hongmei Gao: Nankai University
Dingbin Liu: Nankai University

Nature Communications, 2024, vol. 15, issue 1, 1-14

Abstract: Abstract The abuse of antibiotics urgently requires rapid identification of drug-resistant bacteria at the point of care (POC). Here we report a visual paper sensor that allows rapid (0.25-3 h) discrimination of the subtypes of β-lactamase (the major cause of bacterial resistance) for precision antibiotic therapy. The sensor exhibits high performance in identifying antibiotic-resistant bacteria with 100 real samples from patients with diverse bacterial infections, demonstrating 100% clinical sensitivity and specificity. Further, this sensor can enhance the accuracy of antibiotic use from 48% empirically to 83%, and further from 50.6% to 97.6% after eliminating fungal infection cases. Our work provides a POC testing platform for guiding effective management of bacterial infections in both hospital and community settings.

Date: 2024
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DOI: 10.1038/s41467-024-44984-y

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