快速直观地鉴定β-内酰胺酶亚型，实现精准抗生素治疗。
Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy.
机构信息
State Key Laboratory of Medicinal Chemical Biology, Frontiers Science Centers for Cell Responses and New Organic Matter, College of Chemistry, Nankai University, Tianjin, 300071, China.
Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin, 300071, China.
出版信息
Nat Commun. 2024 Jan 24;15(1):719. doi: 10.1038/s41467-024-44984-y.
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.
抗生素的滥用迫切需要在护理点（POC）快速识别耐药细菌。在这里，我们报告了一种可视化的纸质传感器，可快速（0.25-3 小时）区分β-内酰胺酶（细菌耐药的主要原因）的亚型，以实现精准的抗生素治疗。该传感器在识别具有 100 种来自不同细菌感染患者的真实样本的耐药细菌方面表现出优异的性能，临床敏感性和特异性均为 100%。此外，该传感器可以将抗生素使用的准确性从经验上的 48%提高到 83%，在排除真菌感染病例后，进一步从 50.6%提高到 97.6%。我们的工作为指导医院和社区环境中细菌感染的有效管理提供了一个 POCT 测试平台。
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