Haykal Diala, Flament Frederic, Shadev Mukta, Mora Pascale, Puyat Cristina, Dréno Brigitte, Zheng Qian, Cartier Hugues, Gold Michael, Cohen Steven
Centre Laser Palaiseau, Palaiseau, France.
L'Oréal Research and Innovation, Clichy, France.
J Cosmet Dermatol. 2025 Jul;24(7):e70356. doi: 10.1111/jocd.70356.
Aging is increasingly recognized as a modifiable biological process influenced by genetic, environmental, and lifestyle factors. Recent advances in regenerative medicine and artificial intelligence (AI) have reshaped the field of cosmetic dermatology, shifting the focus from temporary aesthetic improvements to long-term interventions aimed at preserving skin vitality and longevity.
This narrative review aims to synthesize emerging knowledge from 2010 to 2025 on the integration of regenerative strategies, biological modulators, immunologic regulation, microbiome modulation, and AI-driven personalization in the context of aesthetic longevity. The review also discusses translational potential and ethical considerations surrounding these advancements.
A targeted literature search was conducted using PubMed and Scopus to identify peer-reviewed articles from 2010 to 2025. Search terms included "skin aging," "stem cells," "mitochondrial dysfunction," "epigenetic reprogramming," "artificial intelligence in dermatology," and "skin microbiome." Selected studies focused on regenerative and longevity-based interventions with clinical relevance or future applicability in cosmetic dermatology.
Key findings were categorized into six interconnected domains: regenerative medicine, mitochondrial function, epigenetic modulation, immunological balance, microbiome resilience, and AI-driven innovation. These pillars demonstrate a paradigm shift toward biologically informed, personalized strategies that aim to restore and sustain skin health at the molecular level.
Cosmetic dermatology is undergoing a transformation toward integrative, proactive care that combines regenerative medicine, AI, and personalized interventions. These approaches offer promising, evidence-based solutions for enhancing both aesthetic outcomes and long-term skin function, while also raising important ethical and regulatory considerations for clinical implementation.
衰老越来越被认为是一个可调节的生物学过程，受遗传、环境和生活方式因素影响。再生医学和人工智能（AI）的最新进展重塑了美容皮肤科领域，将重点从临时的美学改善转向旨在维持皮肤活力和寿命的长期干预。
本叙述性综述旨在综合2010年至2025年期间关于在美学长寿背景下整合再生策略、生物调节剂、免疫调节、微生物群调节和人工智能驱动的个性化的新知识。该综述还讨论了这些进展的转化潜力和伦理考量。
使用PubMed和Scopus进行了有针对性的文献检索，以识别2010年至2025年期间的同行评审文章。检索词包括“皮肤衰老”“干细胞”“线粒体功能障碍”“表观遗传重编程”“皮肤科中的人工智能”和“皮肤微生物群”。选定的研究重点是具有临床相关性或在美容皮肤科具有未来适用性的基于再生和长寿的干预措施。
主要发现分为六个相互关联的领域：再生医学、线粒体功能、表观遗传调节、免疫平衡、微生物群弹性和人工智能驱动创新。这些支柱表明了一种向基于生物学的个性化策略的范式转变，旨在在分子水平上恢复和维持皮肤健康。
美容皮肤科正在向整合、主动护理转变，这种护理结合了再生医学、人工智能和个性化干预措施。这些方法为提高美学效果和长期皮肤功能提供了有前景的、基于证据的解决方案，同时也为临床实施提出了重要的伦理和监管考量。
