Shiseido Co. Ltd., MIRAI Technology Institute, Yokohama, Kanagawa, Japan.
DYNACOM Co. Ltd., World Business Garden, Mihama-ku, Chiba, Japan.
Skin Res Technol. 2023 Jan;29(1):e13231. doi: 10.1111/srt.13231. Epub 2022 Nov 27.
Skin characteristics show great variation from person to person and are affected by multiple factors, including genetic, environmental, and physical factors, but details of the involvement and contributions of these factors remain unclear.
We aimed to characterize genetic, environmental, and physical factors affecting 16 skin features by developing models to predict personal skin characteristics.
We analyzed the associations of skin phenotypes with genetic, environmental, and physical features in 1472 Japanese females aged 20-80 years. We focused on 16 skin characteristics, including melanin, brightness/lightness, yellowness, pigmented spots, wrinkles, resilience, moisture, barrier function, texture, and sebum amount. As genetic factors, we selected 74 single-nucleotide polymorphisms of genes related to skin color, vitamin level, hormones, circulation, extracellular matrix (ECM) components and ECM-degrading enzymes, inflammation, and antioxidants. Histories of ultraviolet (UV) exposure and smoking as environmental factors and age, height, and weight as physical factors were acquired by means of a questionnaire.
A linear association with age was prominent for increase in the area of crow's feet, increase in number of pigmented spots, decrease in forehead sebum, and increase in VISIA wrinkle parameters. Associations were analyzed by constructing linear regression models for skin feature changes and logistic regression models to predict whether subjects show lower or higher skin measurement values in the same age groups. Multiple genetic factors, history of UV exposure and smoking, and body mass index were statistically selected for each skin characteristic. The most important association found for skin spots, such as lentigines and wrinkles, was adolescent sun exposure.
Genetic, environmental, and physical factors associated with interindividual differences of the selected skin features were identified. The developed models should be useful to predict the skin characteristics of individuals and their age-related changes.
皮肤特征因人而异，受多种因素影响，包括遗传、环境和物理因素，但这些因素的作用和贡献细节尚不清楚。
我们旨在通过开发预测个人皮肤特征的模型来描述影响 16 种皮肤特征的遗传、环境和物理因素。
我们分析了 1472 名 20-80 岁的日本女性的皮肤表型与遗传、环境和物理特征的关联。我们关注 16 种皮肤特征，包括黑色素、亮度/明度、黄度、色素斑、皱纹、弹性、水分、屏障功能、质地和皮脂量。作为遗传因素，我们选择了与皮肤颜色、维生素水平、激素、循环、细胞外基质（ECM）成分和 ECM 降解酶、炎症和抗氧化剂相关的 74 个基因的单核苷酸多态性。紫外线（UV）暴露和吸烟史等环境因素以及年龄、身高和体重等身体因素通过问卷调查获得。
鱼尾纹面积增加、色素斑数量增加、前额皮脂减少和 VISIA 皱纹参数增加与年龄呈线性关联。通过构建皮肤特征变化的线性回归模型和预测同一年龄组中个体皮肤测量值较低或较高的逻辑回归模型来分析相关性。每个皮肤特征都选择了多个遗传因素、UV 暴露和吸烟史以及体重指数。对于皮肤斑点（如雀斑和皱纹）等皮肤特征，最重要的关联是青少年时期的阳光暴露。
确定了与所选皮肤特征个体差异相关的遗传、环境和物理因素。开发的模型应该有助于预测个体的皮肤特征及其与年龄相关的变化。
