Characterization of human facial skin aging phenotypes by noninvasive measurements
Objective:To establish new indicators representing skin aging phenotypes using non-invasive measurement techniques to extract facial skin physicochemical parameters in a Chinese population.Methods:A total of 100 healthy subjects with different age were recruited and skin parameters such as moisture content and so on were measured by non-invasive skin testing instruments.Subsequently,principal component analysis(PCA)and generalized linear model(GLM)analyses were performed.Results:Correlation analysis showed that collagen density was significantly negatively correlated with age(r=-0.31,P<0.01).Parameters such as the elasticity index R5 at the corner of the eyes(r=-0.612,P<0.000 1)significantly decreased with the increase of age.The skin aging index(SAI)established by the GLM showed a more significant relationship with age(r=0.699,P<0.000 1).Conclusion:Facial skin aging is primarily characterized by collagen loss,reduced elasticity,and changes in skin pigmentation.SAI established using non-invasive measurement parameters and GLM can be used to characterize the complex aging of facial skin.
skin phenotypeskin aging parametersPCA principal component analysisgeneralized linear modelnon-invasive measurement
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