Analyzing efficacy and safety of anti-fungal blue light therapy via kernel-based modeling the reactive oxygen species induced by light
Analyzing efficacy and safety of anti-fungal blue light therapy via kernel-based modeling the reactive oxygen species induced by light
复制标题
通过基于内核的光诱导活性氧建模分析抗真菌蓝光疗法的功效和安全性
DOI：
10.1109/tbme.2022.3146567
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发表时间：
2022-01
影响因子：
4.6
通讯作者：
Guoqi Zhang
中科院分区：
文献类型：
--
作者：
Tianfeng Wang;Jianfei Dong;Guoqi Zhang
目的：探讨ABL对白色念珠菌（Candida albicans，C.）灭活的有效性、安全性及作用机制。白色念珠菌），并通过实验测量和动态建模确定治疗念珠菌感染疾病的最佳波长。方法：采用酶联免疫吸附法测定C.在385、405和415 nm波长的光照射下，以50 mW/cm 2的辐照度测量白色念珠菌和人宿主细胞。此外，基于核的非线性动态模型，即，提出了一种基于粒子群优化（PSO）的非线性自回归模型（NARX），并将其应用于光诱导活性氧（ROS）浓度的预测。结果：C. 90 J/cm ~ 2的ABL对人上皮细胞的杀伤作用约为白念珠菌的3-6倍。NARX模型分别拟合两种类型细胞的实验数据。此外，还比较了高斯核、拉普拉斯核、线性核和多项式核四种核函数的拟合精度。用拉普拉斯核函数拟合C.白色念珠菌和人类宿主细胞。结论：结果证明了NARX建模方法的有效性，并揭示了415 nm光作为抗真菌治疗更有效，对宿主细胞的损伤比405或385 nm光更小。重要性：基于核的NARX模型识别算法为确定治疗各种真菌感染疾病的有效和安全的光剂量提供了机会。
Objective: The goal of this study is to investigate the efficacy, safety, and mechanism of ABL for inactivating Candida albicans (C. albicans), and to determine the best wavelength for treating candida infected disease, by experimental measurements and dynamic modeling. Methods: The changes in reactive oxygen species (ROS) in C. albicans and human host cells under the irradiation of 385, 405, and 415nm wavelengths light with irradiance of 50mW/cm2 were measured. Moreover, a kernel-based nonlinear dynamic model, i.e., nonlinear autoregressive with exogenous inputs (NARX), was developed and applied to predict the concentration of light-induced ROS, whose kernels were selected by a newly developed algorithm based on particle swarm optimization (PSO). Results: The ROS concentration was increased respectively about 10-12 times in C. albicans and about 3-6 times in human epithelial cells by the ABL treatment with the same fluence of 90J/cm2. The NARX models were respectively fitted to the data from the experiments on both types of cells. Besides, four different kernel functions, including Gaussian, Laplace, linear and polynomial kernels, were compared in their fitting accuracies. The errors with the Laplace kernel turned out to be only 0.2704 and 0.0593, as respectively fitted to the experimental data of the C. albicans and human host cells. Conclusion: The results demonstrated the effectiveness of the NARX modeling approach, and revealed that the 415nm light was more effective as an anti-fungal treatment with less damage to the host cells than the 405 or 385nm light. Significance: The kernel-based NARX model identification algorithm offers opportunities for determining the effective and safe light dosages in treating various fungal infection diseases.