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Toll-Like Receptors in Atopic Dermatitis: Pathogenesis and Therapeutic Implications Publisher



Vafaeian A1, 2 ; Rajabi F1, 3 ; Rezaei N1, 4, 5, 6
Authors
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Authors Affiliations
  1. 1. Universal Scientific Education and Research Network (USERN), Tehran, Iran
  2. 2. Autoimmune Bullous Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Center for Research & Training in Skin Diseases & Leprosy, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Sheffield, United Kingdom
  5. 5. Research Center for Immunodeficiencies, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Heliyon Published:2025


Abstract

Toll-like receptors (TLR), the key players of the innate immune system, contribute to the pathogenesis of atopic dermatitis (AD) through multiple pathways. TLRs play a crucial role in delaying barrier repair, promoting Th2-mediated dermatitis, shifting the response toward Th1 in the chronic phase, and contributing to the establishment of the itch-scratch cycle, as well as mediating the effects of UV radiation. The dysregulation of proinflammatory and immunomodulatory effects of TLRs can be attributed to their ligand structures, receptor heterodimerization, the relative frequency of each TLR, interactions with other receptors/signalling pathways, cytokine milieu, and genetic polymorphisms. Current AD treatments like vitamin-D analogs, tacrolimus, and cyclosporine partially work through TLR modulation. Direct TLR stimulation using different compounds has shown therapeutic benefits in preclinical studies. However, significant challenges exist, including off-target effects due to ubiquitous TLR expression and complex roles in immune responses. Future directions include CRISPR-based gene editing to understand TLR functions, development of specific TLR modulators for targeted therapy, and machine learning applications to predict drug responses and identify novel ligands. Patient heterogeneity, including the presence or absence of polymorphisms, variations in TLR expression levels, and differences in immune responses, underscores the need for personalized therapeutic approaches. © 2025 The Authors
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