Background:
The objective of this research is to create an innovative method for profiling the effects of a Chinese herbal medicine (CHM) in treating scars. This will involve utilizing bioinformatics to forecast CHMs with anti-scar properties. Through the employment of High Performance Liquid Chromatography (HPLC), the active constituents of these CHMs will be identified. Subsequently, both ex vivo and in vivo models will be employed to substantiate the healing potential of the identified CHM candidates.

Methods:
Seventeen CHMs have been associated with a majority of mechanisms linked to scarring. These include Dahurian Patrinia, Ligulilobe sage, Alpiniae Officirum Rhizome, Folium Ilicis Cornutae, Asiatic Pennywort Herb, Japanese Inula, fruit of Cherokee Rose, Lysimachiae Foenigraeci Herba, Purslane, Yerbadetajo, Indian Trumpetflower Seed, Common Scouring Rush Herb, Purpleflower Holly Leaf, Common Selfheal, Hairyvein Agrimonia, Haichow Elsholtzia, and Chinese Dwarf Cherry Seed. The study utilized keloid tissues from patients, obtained through approved standard surgical procedures under the oversight of the Chang Gung Memorial Hospital Institutional Review Board to investigate potential constituents for scar treatment.

Results: Based on the findings from the shrinkage measurements of Salvia miltiorrhiza and Centella asiatica, it was observed that Salvia miltiorrhiza at a concentration of 0.5mg/ml exhibited potential inhibition of the C area, while Centella asiatica at a concentration of 1mg/ml appeared to have a suppressive effect on both the C area and P area. These outcomes provide validation for the applicability of the ex vivo keloid OC model in assessing the anti-scarring effects of CHMs.