BACKGROUND: The use of biologic markers to aid in individualizing wound treatment may help improve outcomes. A biologic marker that has been demonstrated to be predictive of healing in both chronic and acute wounds is wound tissue bacterial level. The objective of this study was to determine whether tissue bacterial level can be used to individualize wound treatment regimens with a stem-like cell-derived product. METHODS: Amnion-derived cellular cytokine solution (ACCS) was topically applied to rat chronic wounds, and healing rates were measured. RESULTS: Experimental wounds treated with ACCS demonstrated accelerated healing regardless of the tissue level of bacteria, compared with saline. As the level of tissue bacteria increased, the frequency of ACCS application required to obtain optimal results increased. CONCLUSIONS: It appears that the biologic characteristic of tissue bacterial level can serve as a marker to predict the response of open granulating wounds treated with ACCS. Published by Elsevier Inc.
BACKGROUND: The use of biologic markers to aid in individualizing wound treatment may help improve outcomes. A biologic marker that has been demonstrated to be predictive of healing in both chronic and acute wounds is wound tissue bacterial level. The objective of this study was to determine whether tissue bacterial level can be used to individualize wound treatment regimens with a stem-like cell-derived product. METHODS: Amnion-derived cellular cytokine solution (ACCS) was topically applied to rat chronic wounds, and healing rates were measured. RESULTS: Experimental wounds treated with ACCS demonstrated accelerated healing regardless of the tissue level of bacteria, compared with saline. As the level of tissue bacteria increased, the frequency of ACCS application required to obtain optimal results increased. CONCLUSIONS: It appears that the biologic characteristic of tissue bacterial level can serve as a marker to predict the response of open granulating wounds treated with ACCS. Published by Elsevier Inc.
Authors: Bennie H Jeng; Pedram Hamrah; Ziv Z Kirshner; Benjamin C Mendez; Howard C Wessel; Larry R Brown; David L Steed Journal: Transl Vis Sci Technol Date: 2022-01-03 Impact factor: 3.283