ReviewJournal of cosmetic dermatology2025
Leveraging Single Nucleotide Polymorphism Profiling for Precision Skin Care: How SNPs Shape Individual Responses in Cosmetic Dermatology.
Review in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare.Frontiers in artificial intelligence · 2025Pooled it
- Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution.Aesthetic plastic surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSingle-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.
backgroundThe 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.
resultsSNPs 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.
conclusionSNP 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.