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Published on: March 9, 2015
Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted
Rinky Kapoor1, Depti Bellani2, Raji Patil2
1Department of Dermatology, Cosmetic Dermatology & Dermato-Surgery, The Esthetic Clinics, Mumbai, Maharashtra, India.
Background And Purpose:
Non-scarring alopecia, principally androgenetic alopecia and alopecia areata is highly prevalent and psychologically burdensome; androgenetic alopecia is androgen-driven, whereas alopecia areata is autoimmune. This review synthesizes genetic architecture and pathway biology to outline a precision framework for targeted interventions.
Experimental Approach:
We reviewed full-text studies from the past decade across PubMed, Web of Science and Google Scholar, applying explicit inclusion/exclusion criteria; emphasis was placed on Genome wide association studies and Next generation sequencing findings, immune and androgen-axis biology, environmental modifiers, and therapeutic evidence (conventional, targeted, and regenerative), alongside artificial Intelligence-enabled diagnostics.
Key Results:
Androgenetic alopecia risk converges on androgen-receptor signalling and related loci, with perifollicular inflammation and oxidative stress as modifiers; finasteride remains a cornerstone therapy. Alopecia areata reflects polygenic immune dysregulation (e.g. Human leukocyte antigen/cytokine axes) with Janus Kinase-pathway inhibition yielding robust regrowth; across phenotypes, wingless-related integration sit/β-catenin and stem-cell programs are central targets. Regenerative options (Protein Rich Plasma, stem-cell/exosome approaches) and artificial Intelligence-assisted stratification are emerging adjuncts.
Conclusion:
A pathway-guided, genotype and phenotype-informed strategy, targeting the androgen axis for androgenetic alopecia, immune circuits for alopecia areata, and adding regenerative or microenvironmental therapies where indicated-promises earlier diagnosis and more durable, individualized outcomes, especially as genome-wide association study/next-generation sequencing and artificial Intelligence tools are integrated into care.
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