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

Author

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  • Wenshuai Li

    (Nankai University
    Nankai University)

  • Jingqi Li

    (Nankai University
    Nankai University)

  • Hua Xu

    (Nankai University)

  • Hongmei Gao

    (Nankai University)

  • Dingbin Liu

    (Nankai University
    Nankai University)

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.

Suggested Citation

  • Wenshuai Li & Jingqi Li & Hua Xu & Hongmei Gao & Dingbin Liu, 2024. "Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44984-y
    DOI: 10.1038/s41467-024-44984-y
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