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作 者:刘一洲 王久存[1,2,3] 马彦云 LIU Yizhou;WANG Jiucun;MA Yanyun(School of Life Sciences,Fudan University,Shanghai 200438,China;Institute of Human Phenomics,Fudan University,Shanghai 200438,China;Innovative Research Unit of Population Genetics and Prevention Technologies for Skin and Skin Diseases,Chinese Academy of Medical Sciences,Shanghai 200438,China)
机构地区:[1]复旦大学生命科学学院,上海200438 [2]复旦大学人类表型组研究院,上海200438 [3]中国医学科学院皮肤及皮肤病群体遗传学和防控新技术研究创新单元,上海200438
出 处:《上海医药》2024年第11期42-45,66,共5页Shanghai Medical & Pharmaceutical Journal
摘 要:目的:利用无创测量技术提取的中国人群面部皮肤理化参数建立表征皮肤老化表型的新指标。方法:招募100例不同年龄段的健康受试者,通过皮肤无创测试仪器检测皮肤含水量等皮肤参数,进行主成分分析(PCA)和广义线性模型分析(GLM)。结果:相关性分析发现胶原蛋白密度与年龄呈显著负相关(r=-0.31,P<0.01),眼角弹性指标R5(r=-0.612,P<0.0001)等参数明显随年龄增加而降低。广义线性模型建立的SAI与年龄关系更为显著(r=0.699,P<0.0001)。结论:面部皮肤老化主要表现为胶原蛋白流失,弹性降低,皮肤变黑变红,利用无创测量参数和广义线性模型建立的皮肤老化指数可以用来表征面部皮肤复杂的老化特征。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<0.0001)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<0.0001).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.
关 键 词:皮肤表型 皮肤老化参数 PCA主成分分析 广义线性模型 无创测量
分 类 号:R334.5[医药卫生—人体生理学] R339.38[医药卫生—基础医学]
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