Indirect, Non-Thermal Atmospheric Plasma Promotes Bacterial Killing in vitro and Wound Disinfection in vivo Using Monogenic and Polygenic Models of Type 2 Diabetes (Without Adverse Metabolic Complications).

A novel atmospheric plasma device that uses indirect, non-thermal plasma generated from room air is being studied for its effects on wound disinfection in animal wounds of monogenic and polygenic murine models of type 2 diabetes. As a proof-of-concept report, the goal of this study was to demonstrate the efficacy and safety of the indirect non-thermal plasma (INTP) device in disinfecting polycarbonate filters established with Pseudomonas aeruginosa (PAO1) biofilms as well as wound disinfection in diabetic murine wounds. Dorsal excisional wounds in BALB/c, polygenic TALLYHO, and monogenic db/db mice established with PAO1 infection all demonstrated a 3-log colony-forming unit (CFU) reduction when subjected to a course of 20-min INTP treatments. Importantly, blood glucose and body weights in these animals were not significantly impacted by plasma treatment over the study period. Plasma safety was also analyzed via complete blood count and comprehensive metabolic panels, showing no deleterious systemic effects after 3 consecutive days of 20-min plasma applications. Therefore, the results obtained demonstrated the Pseudomonas aeruginosa isolates were highly sensitive to INTP in vitro, CFU reduction of infectious Pseudomonas in wounds of diabetic mice after INTP treatment is far superior to that of non-treated infected wounds, and the application of INTP shows no indication of toxic effects. Our results are consistent with indirect non-thermal atmospheric plasma as a promising adjunct to disinfecting wounds.

Development of a synchronous fluorescence imaging system and data analysis methods.

Although conventional autofluorescence spectroscopy, in which fluorescence emission spectra are recorded for fixed excitation wavelengths, has demonstrated good performance in tissue diagnosis, it suffers from prolonged data acquisition time and broad-band fluorescence features. Synchronous spectroscopy has been proposed to overcome the limitations of conventional fluorescence spectroscopy but has not been applied to imaging for tissue diagnosis in vivo. Our group has developed a synchronous fluorescence imaging system to combine the great diagnostic potential of synchronous spectroscopy and the large field of view of imaging for cancer diagnosis. This system has been tested in a mouse skin model to capture synchronous fluorescence images. A simple discriminant analysis method and a more complicated multi-variate statistical method have been developed to generate a single diagnostic image from a large number of raw fluorescence images. Moreover, it was demonstrated that the diagnostic image generated from synchronous data is comparable to that generated from full spectral data in classification accuracy.