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How to Predict AGEs Accumulation Slowdown Effect of a Cosmetic Ingredient? Two Steps <i>In-Vitro</i>System for Evaluating the Anti-AGE Impact of a New Blend
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作者 Dror Cohen Ze’evi Ma’or +4 位作者 Ya’ara Laor-Costa alexandra blinderman David Barak Ron Kohen Meital Portugal-Cohen 《Journal of Cosmetics, Dermatological Sciences and Applications》 2021年第4期320-329,共10页
Advanced Glycation End-Products (AGEs), play a crucial part in advancing the process of cellular skin aging and its link to chronological age was re-assessed. AGEs accumulation alters cell structure and function of mo... Advanced Glycation End-Products (AGEs), play a crucial part in advancing the process of cellular skin aging and its link to chronological age was re-assessed. AGEs accumulation alters cell structure and function of most types of skin cells, affecting skin’s mechanical and physiological properties, following the molecular transformations. Slowdown AGEs accumulation rate in skin, although a potent anti-aging strategy, is difficult and tricky. The lack of working methods for <span style="white-space:nowrap;"><i>In-Vitro</i></span> and <span style="white-space:nowrap;"><i>In-Vitro</i></span> measuring AGEs level complicates the evaluation and prediction of active ingredients’ ability to affect cellular AGEs accumulation. A two-step <span style="white-space:nowrap;"><i>In-Vitro</i></span> systematic screening method is proposed and three different cosmetic active ingredients were selected for its demonstration, using BSA-Glucose and Collagen-Glucose predicting models. Candidates’ effects on AGEs accumulation were evaluated as standalone, and when formulated in a blend. Additionally, the potency of non-invasive auto-fluorescence in-vivo measurement to detect AGEs levels among subjects of different ages was demonstrated. The results are presented in this work and the potential contribution of the proposed system to assist the desired inhibition of AGEs accumulation in skin is discussed. 展开更多
关键词 Advanced Glycation End-Products (AGEs) Cellular Skin Aging ANTI-AGING AGEs Accumulation Predicting Models
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