Haykal Diala
Centre Médical Laser Palaiseau, Palaiseau, France.
J Cosmet Dermatol. 2025 Jan;24(1):e16750. doi: 10.1111/jocd.16750.
Single-nucleotide polymorphisms (SNPs) represent a significant genetic variation influencing individual responses to cosmetic dermatology treatments. SNP profiling offers a pathway to personalized skincare by enabling practitioners to predict patient outcomes, customize interventions, and mitigate risks.
The integration of genetic insights into dermatology has gained traction, with SNP analysis revealing predispositions in skin characteristics, such as collagen degradation, pigmentation, and inflammatory responses. Key SNPs, including MMP1, SOD2, TYR, and IL-6, are pivotal in determining skin health and treatment outcomes. Despite its promise, the adoption of SNP profiling in cosmetic dermatology is in its infancy, requiring further exploration of its practical applications.
SNPs significantly influence skin responses to aesthetic treatments, offering insights for personalized care. Variations in MMP1 correlate with collagen degradation, suggesting collagen-stimulating therapies, while SOD2 SNPs highlight the need for antioxidant support. TYR variations affect pigmentation risks in light-based treatments, and IL-6 SNPs reveal inflammatory predispositions, guiding anti-inflammatory protocols. AI integration enhances SNP profiling by improving prediction accuracy and treatment customization. Challenges remain, including standardization, ethical considerations, and cost-effectiveness. Combining genetic insights with epigenetics and leveraging AI technologies can amplify precision and safety in dermatologic care.
SNP profiling marks a transformative step toward precision medicine in cosmetic dermatology, enabling tailored treatments that enhance efficacy and minimize adverse effects. Integrating AI-driven SNP analysis with epigenetic insights provides a comprehensive approach to patient care, fostering a new era of personalized skincare that respects genetic and environmental interactions. This paradigm shift holds the potential to redefine dermatologic practices, improving outcomes and patient satisfaction.
单核苷酸多态性（SNP）代表了一种显著的基因变异，影响个体对美容皮肤科治疗的反应。SNP分析通过使从业者能够预测患者治疗结果、定制干预措施并降低风险，为个性化护肤提供了一条途径。
将遗传学见解整合到皮肤病学中已逐渐受到关注，SNP分析揭示了皮肤特征方面的易感性，如胶原蛋白降解、色素沉着和炎症反应。关键的SNP，包括基质金属蛋白酶1（MMP1）、超氧化物歧化酶2（SOD2）、酪氨酸酶（TYR）和白细胞介素6（IL-6），在决定皮肤健康和治疗结果方面起着关键作用。尽管前景广阔，但SNP分析在美容皮肤科的应用尚处于起步阶段，需要进一步探索其实际应用。
SNP对皮肤美学治疗反应有显著影响，为个性化护理提供了见解。MMP1的变异与胶原蛋白降解相关，提示可采用刺激胶原蛋白生成的疗法，而SOD2的SNP突出了抗氧化支持的必要性。TYR变异影响光基治疗中的色素沉着风险，IL-6的SNP揭示了炎症易感性，指导抗炎方案的制定。人工智能的整合通过提高预测准确性和治疗定制性增强了SNP分析。挑战依然存在，包括标准化、伦理考量和成本效益。将遗传学见解与表观遗传学相结合并利用人工智能技术，可以提高皮肤科护理的精准性和安全性。
SNP分析标志着美容皮肤科向精准医学迈出了变革性的一步，能够实现定制化治疗，提高疗效并将不良反应降至最低。将人工智能驱动的SNP分析与表观遗传学见解相结合，为患者护理提供了一种全面的方法，开创了一个尊重基因与环境相互作用的个性化护肤新时代。这种范式转变有可能重新定义皮肤科实践，改善治疗结果和患者满意度。
