化脓性关节炎
滑液
细胞内
金黄色葡萄球菌
关节炎
微生物学
医学
抗生素
细菌
化学
免疫学
病理
生物
骨关节炎
生物化学
替代医学
遗传学
作者
Yun Yang,Mingrong Wu,Yaqing Zhang,Sheng Wang,Yang Song,Xiao Hong,Erqun Song
标识
DOI:10.1016/j.cej.2024.149539
摘要
The survival of Staphylococcus aureus (S. aureus) within host cells leads to recurrences of septic arthritis after conventional treatment, which is a challenging clinical problem. Simple, rapid and sensitive detection of intracellular bacteria in septic arthritis synovial fluid and real-time monitoring of antibiotic efficacy for septic arthritis are important to the management of this disease. Herein, an enzyme-responsive activated nanoparticle surface energy transfer (NSET) biomimetic probe (FP1Au@AB) constructed with a fluorescent polypeptide (FP1)-gold nanoparticle (AuNPs, Au) complex (FP1Au) coated with apoptotic body (AB) was applied to detect intracellular S. aureus in septic arthritis synovial fluid from clinical samples and monitor the treatment of antibiotic of rifampicin (Rif) to septic arthritis in mouse models. The as-prepared NSET bionic probes of FP1Au@AB bears AB coating which makes the probes are of good actively targeting to macrophages, and the probes could be specifically tailored by caspase-1 presented in infected macrophages, resulting fluorescent signal on. Based on the FP1Au@AB probe, the detection of intracellular bacteria in synovial fluid with a low detection limit of 5 (the average number of S. aureus in one host cell) was realized without the need of washing extracellular bacteria beforehand. Additionally, therapy efficacy of septic arthritis in mouse model could be monitored timely based the proposed probe. Moreover, FP1Au@AB probes could be applied to confirm whether the synovial fluid from patients with septic arthritis contained intracellular bacteria or not, which is benefit for the doctor to do the administration. The FP1Au@AB probe-based lighting up analytical method shows great potential for the administration and evaluation of therapy of septic arthritis in clinic.
科研通智能强力驱动
Strongly Powered by AbleSci AI