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Multimodal analyses of vitiligo skin idenitfy tissue characteristics of stable disease
Jessica Shiu, … , Mihaela Balu, Anand K. Ganesan
Jessica Shiu, … , Mihaela Balu, Anand K. Ganesan
Published June 2, 2022
Citation Information: JCI Insight. 2022;7(13):e154585. https://doi.org/10.1172/jci.insight.154585.
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Research Article Dermatology

Multimodal analyses of vitiligo skin idenitfy tissue characteristics of stable disease

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Abstract

Vitiligo is an autoimmune skin disease characterized by the destruction of melanocytes by autoreactive CD8+ T cells. Melanocyte destruction in active vitiligo is mediated by CD8+ T cells, but the persistence of white patches in stable disease is poorly understood. The interaction between immune cells, melanocytes, and keratinocytes in situ in human skin has been difficult to study due to the lack of proper tools. We combine noninvasive multiphoton microscopy (MPM) imaging and single-cell RNA-Seq (scRNA-Seq) to identify subpopulations of keratinocytes in stable vitiligo patients. We show that, compared with nonlesional skin, some keratinocyte subpopulations are enriched in lesional vitiligo skin and shift their energy utilization toward oxidative phosphorylation. Systematic investigation of cell-to-cell communication networks show that this small population of keratinocyte secrete CXCL9 and CXCL10 to potentially drive vitiligo persistence. Pseudotemporal dynamics analyses predict an alternative differentiation trajectory that generates this new population of keratinocytes in vitiligo skin. Further MPM imaging of patients undergoing punch grafting treatment showed that keratinocytes favoring oxidative phosphorylation persist in nonresponders but normalize in responders. In summary, we couple advanced imaging with transcriptomics and bioinformatics to discover cell-to-cell communication networks and keratinocyte cell states that can perpetuate inflammation and prevent repigmentation.

Authors

Jessica Shiu, Lihua Zhang, Griffin Lentsch, Jessica L. Flesher, Suoqin Jin, Christopher Polleys, Seong Jin Jo, Craig Mizzoni, Pezhman Mobasher, Jasmine Kwan, Francisca Rius-Diaz, Bruce J. Tromberg, Irene Georgakoudi, Qing Nie, Mihaela Balu, Anand K. Ganesan

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Figure 3

scRNA-Seq analyses of lesional and nonlesional skin reveal unique keratinocyte cell populations in vitiligo patients.

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scRNA-Seq analyses of lesional and nonlesional skin reveal unique kerati...
(A) Feature plots showing expression of the selected markers in the UMAP space of all cells. (B) High-density plot showing relative gene expression of key marker genes in different cell subpopulations. Each density plot is composed by bar charts, and bar height corresponds to the relative expression level of the gene in cells that is ordered from low to high. (C) Percentages of cell subpopulations across patients, lesional skin, and nonlesional skin (left). Comparison of the percentages of each cell subpopulation across lesional and nonlesional skin (middle). Comparison of the percentages of major cell types including keratinocytes, stress keratinocytes, melanocytes, and immune cells across lesional and nonlesional skin (right). The bar plot shows that the percentages of keratinocytes and melanocytes decrease, while the percentages of stress keratinocytes and immune cells increase in lesional skin compared with nonlesional skin.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

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