RESUMEN
Intercellular lipids comprise mainly ceramides, known to enhance the barrier function of the stratum corneum. However, the activities of ceramides inside the skin have not yet been fully elucidated. Here we examined how the human ceramide mixture (HC123) functions in the dermis. We treated human skin fibroblasts with HC123-expressed fibroblast growth factor (FGF), transforming growth factor-ß (TGF-ß), collagen I, and fibrillin. We found that HC123 promoted the formation of collagen fibers and microfibrils (fibrillin) which affect the elasticity of the skin. We also confirmed that the gene expression of collagen and fibrillin is promoted via TGF-ß and FGF2, respectively. We then investigated the permeability of HC123 for external use, in pursuit of evidence that HC123 may exert an anti-aging effect by penetrating into the dermis, activating fibroblasts, and promoting the production of collagen fibers and elastin-related microfibrils.
Asunto(s)
Ceramidas , Colágeno , Células Cultivadas , Ceramidas/metabolismo , Ceramidas/farmacología , Colágeno/metabolismo , Fibrilina-1/genética , Fibrilina-1/metabolismo , Fibrilina-2/metabolismo , Fibrilinas/metabolismo , Fibroblastos , Humanos , Factor de Crecimiento Transformador beta/metabolismoRESUMEN
BACKGROUND: Intercellular lipids contain a lamellar structure that glows in polarized images. It could be expected that the intercellular lipid content be estimated from the luminance values calculated from polarized images of stratum corneum strips. Therefore, we attempted to develop a method for simple and rapid evaluation of the intercellular lipid content through a procedure. Herein, we demonstrated a relationship between the luminance value and the amount of ceramides, one of the main components of intercellular lipids. MATERIALS AND METHODS: The stratum corneum was collected from the forearm using slides with a pure rubber-based adhesive, which did not produce unnecessary luminescence under polarizing conditions. Images were analyzed using luminance indices. The positive secondary ion peak images were obtained using the time of flight-secondary ion mass spectrometry; the polarized and brightfield images were obtained using a polarized microscope. The ceramide and protein amount was measured by high-performance liquid chromatography and bicinchoninic acid protein assay after microscope imaging. Images and quantitative values were used to construct evaluation models based on a convolutional neural network (CNN). RESULTS: There was a correlation between the highlighted areas of the polarized image to overlap with the area where ceramide-derived peak was detected. Evaluation of the CNN-based model of the polarized images predicted the amount of ceramides per unit of stratum corneum. CONCLUSION: The method proposed in the study enabled a large number of specimens to provide a simple, rapid, and efficient evaluation of the intercellular lipid content.