Noninvasive Imaging Techniques for Monitoring Cellular Response to Treatment in Stable Vitiligo
Year: 2023
Type: article
Abstract: Punch grafting procedures, where small pieces of normal skin are transplanted into stable vitiligo patches, results in repigmentation in only half of patients treated, yet the factors that determine whether a patient responds to treatment or not are still unknown. Reflectance confocal microscopy (RCM) is adept at visualizing melanocyte migration and epidermal changes over large areas while multiphoton microscopy (MPM) can capture metabolic changes in keratinocytes. With the overall goal of identifying optical biomarkers for early treatment response, we followed 12 vitiligo lesions undergoing punch grafting. Dendritic melanocytes adjacent to the graft site were observed before clinical evidence of repigmentation in treatment responsive patients but not in treatment non-responsive patients, suggesting that the early visualization of melanocytes is indicative of a therapeutic response. Keratinocyte metabolic changes in vitiligo skin adjacent to the graft site also correlated with treatment response, indicating that a keratinocyte microenvironment that more closely resembles normal skin is more hospitable for migrating melanocytes. Taken together, these studies suggest that successful melanocyte transplantation requires both the introduction of new melanocytes and modulation of the local tissue microenvironment.
Language: English
Subfield: Cell Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,400
Awards: G1247393688, In vivo label free optical imaging of immune cells in human skin, Institute for Clinical and Translational Science, Institutional Career Development Core, G7736699370, Identifying the Molecular Characteristics of Migrating Melanocytes in Vitiligo Skin, Skin Biology Resource-Based Center at UCI, Determining how local factors influence repigmentation in stable vitiligo, Development of a fast scanning, extended field-of-view multiphoton microscope for clinical skin imaging
OpenAlex ID: W4388576345
