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Dermatological inflammation is a central feature of various skin disorders, such as eczema, psoriasis, and rosacea, often leading to pain and discomfort. The function of nociceptors, which are specialized sensory neurons that are responsible for detecting and transmitting pain signals, is an essential aspect of this inflammation that is frequently overlooked. These nociceptors not only relay pain but also contribute to the inflammatory response by releasing neuropeptides like substance P and calcitonin gene-related peptide (CGRP), amplifying the inflammatory cascade. This review examines the nociceptive pathways in dermatological inflammation, focusing on how nociceptors interact with inflammatory mediators like cytokines and growth factors to enhance pain perception and tissue damage. Furthermore, it delves into gene therapy strategies aimed at targeting nociceptor activation and sensitization, including gene silencing, anti-inflammatory cytokine transfer, and modulation of pain inhibitory pathways. By altering the function of nociceptor receptors, gene therapy has the potential to treat dermatological conditions with chronic pain. This presents promising therapeutic options. By targeting nociceptor signaling, gene therapy could reduce pain and inflammation, providing more effective, targeted treatments for patients with chronic dermatological diseases. This approach may lead to personalized treatments and combine with other therapies, improving patient outcomes and reducing reliance on traditional pain management methods.
Keywords:
Gene therapy, cutaneous inflammation, nociceptors, pain pathways, and inflammation modulation
Cite Article:
"A Review of Nociceptive Pathways in Dermatological Inflammation", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a177-a187, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503021.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator