Abdel-Mageed Heidi M
Molecular Biology Department, National Research Centre, El Behoth St, Dokki, Giza, Egypt.
Inflammopharmacology. 2025 Mar;33(3):1161-1187. doi: 10.1007/s10787-025-01642-z. Epub 2025 Feb 7.
Atopic dermatitis (AD) is a paradigmatic prevalent, long-lasting, and inflammatory skin condition with a diverse range of clinical manifestations. The etiology and clinical symptoms of AD are influenced by complex pathophysiological processes, which involve a strong genetic component, epidermal dysfunction, and immunological dysregulation, and a strong influence of other physiological and environmental factors. The FDA has approved targeted and well-tolerated immunomodulators including biologics like dupilumab and crisaborole, and small molecules such as baricitinib, as novel therapies for AD. They effectively treat AD but are too expensive for most patients. The review provides an update on the state of knowledge of AD pathogenesis, discusses the available diagnostic and scoring indices, and provides a scientific foundation for treatment methods for AD. This review also presents data on clinical efficacy of innovative treatments' considering recent guidelines, emphasizing the newest medications and ongoing trials. Finally, the new implication of artificial intelligence (AI) in AD management is explored, where AI can speed up diagnosis and therapy. The PubMed, Google Scholar, and ScienceDirect databases were used for this review.
特应性皮炎(AD)是一种典型的常见、持久的炎症性皮肤病,临床表现多样。AD的病因和临床症状受复杂的病理生理过程影响,这些过程涉及强大的遗传成分、表皮功能障碍和免疫失调,以及其他生理和环境因素的强烈影响。美国食品药品监督管理局(FDA)已批准了靶向性且耐受性良好的免疫调节剂,包括度普利尤单抗和克立硼罗等生物制剂,以及巴瑞替尼等小分子药物,作为AD的新型疗法。它们能有效治疗AD,但对大多数患者来说过于昂贵。本综述提供了AD发病机制的知识更新,讨论了可用的诊断和评分指标,并为AD的治疗方法提供了科学依据。本综述还根据近期指南介绍了创新疗法的临床疗效数据,重点介绍了最新药物和正在进行的试验。最后,探讨了人工智能(AI)在AD管理中的新应用,AI可加快诊断和治疗速度。本综述使用了PubMed、谷歌学术和ScienceDirect数据库。