Burden Bradley, Rodriguez-Alvarez Juan Sebastian, Levi Nicole, Gayzik F Scott
Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Department of Plastic and Reconstructive Surgery, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Front Bioeng Biotechnol. 2023 Jan 24;11:1001017. doi: 10.3389/fbioe.2023.1001017. eCollection 2023.
Eighty percent of bacterial infections associated with living tissue and medical devices are linked to drug-resistant biofilms, leading to lengthy and costly recoveries. Laser-induced hyperthermia can disrupt cell proliferation within biofilms and increase susceptibility to antibiotics. However, there can be bacterial survival differences dependent upon laser irradiation times, and prolonged time at elevated temperature can damage healthy tissue. The objective of this study was to use survival analysis to model the impact of temperature increases on reducing viable biofilm bacteria. biofilms of were grown on silicone discs or silicone doped with photothermal poly(3,4-ethylenedioxythiophene) hydrate (PEDOT) nanotubes, and subjected to laser-induced hyperthermia, using a 3 W continuous wave laser at 800 nm for varying times. The number of colony forming units per milliliter (CFU/mL) and maximum temperature were measured after each trial. Survival analysis was employed to estimate bacterial cell proliferation post-treatment to provide a quantitative framework for future studies evaluating photothermal inactivation of bacterial biofilms. The results demonstrate the first application of survival analysis for predicting the likelihood of bacterial cell proliferation based on temperature.
与活体组织和医疗设备相关的细菌感染中,80%与耐药生物膜有关,这导致恢复过程漫长且成本高昂。激光诱导热疗可以破坏生物膜内的细胞增殖,并增加对抗生素的敏感性。然而,细菌的存活情况可能因激光照射时间而异,且在高温下延长时间会损害健康组织。本研究的目的是使用生存分析来模拟温度升高对减少生物膜活菌的影响。在硅胶圆盘或掺杂有光热聚(3,4-亚乙基二氧噻吩)水合物(PEDOT)纳米管的硅胶上培养生物膜,并使用800 nm的3 W连续波激光进行不同时间的激光诱导热疗。每次试验后测量每毫升菌落形成单位(CFU/mL)的数量和最高温度。采用生存分析来估计治疗后细菌细胞的增殖情况,为未来评估细菌生物膜光热失活的研究提供一个定量框架。结果表明生存分析首次用于基于温度预测细菌细胞增殖的可能性。