{"title":"Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions.","authors":"Rinky Kapoor, Depti Bellani, Raji Patil, Debalina Bose, Madhuri Pola, Prashant Anilkumar Singh, Mamata Mishra, Debraj Shome","doi":"10.5599/admet.3030","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and purpose: </strong>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.</p><p><strong>Experimental approach: </strong>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.</p><p><strong>Key results: </strong>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 (<i>e.g.</i> 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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":7259,"journal":{"name":"ADMET and DMPK","volume":"14 ","pages":"3030"},"PeriodicalIF":5.1000,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994595/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ADMET and DMPK","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5599/admet.3030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
背景和目的:非瘢痕性脱发,主要是雄激素源性脱发和斑秃是非常普遍和心理负担;雄激素性脱发是雄激素驱动的,而斑秃是自身免疫性的。这篇综述综合了遗传结构和途径生物学,概述了有针对性的干预的精确框架。实验方法:我们回顾了过去十年PubMed、Web of Science和b谷歌Scholar上的全文研究,采用明确的纳入/排除标准;重点是全基因组关联研究和下一代测序结果、免疫和雄激素轴生物学、环境调节剂、治疗证据(常规、靶向和再生),以及人工智能诊断。关键结果:雄激素性脱发的风险集中在雄激素受体信号传导和相关位点,滤泡周围炎症和氧化应激是调节剂;非那雄胺仍然是一种基础疗法。斑秃反映了多基因免疫失调(例如,人白细胞抗原/细胞因子轴)与Janus激酶途径抑制产生强劲的再生;在各种表型中,无翼相关整合sit/β-连环蛋白和干细胞程序是中心目标。再生选择(富蛋白血浆、干细胞/外泌体方法)和人工智能辅助分层是新兴的辅助手段。结论:一种途径引导、基因型和表型知情的策略,针对雄激素轴治疗雄激素性脱发,免疫回路治疗斑秃,并增加再生或微环境治疗,其中指征性治疗承诺更早诊断和更持久、个性化的结果,特别是随着全基因组关联研究/下一代测序和人工智能工具被整合到护理中。
期刊介绍:
ADMET and DMPK is an open access journal devoted to the rapid dissemination of new and original scientific results in all areas of absorption, distribution, metabolism, excretion, toxicology and pharmacokinetics of drugs. ADMET and DMPK publishes the following types of contributions: - Original research papers - Feature articles - Review articles - Short communications and Notes - Letters to Editors - Book reviews The scope of the Journal involves, but is not limited to, the following areas: - physico-chemical properties of drugs and methods of their determination - drug permeabilities - drug absorption - drug-drug, drug-protein, drug-membrane and drug-DNA interactions - chemical stability and degradations of drugs - instrumental methods in ADMET - drug metablic processes - routes of administration and excretion of drug - pharmacokinetic/pharmacodynamic study - quantitative structure activity/property relationship - ADME/PK modelling - Toxicology screening - Transporter identification and study