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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 1

In vivo MPM images of vitiligo lesional and nonlesional skin showing metabolic changes with depth independent of sun exposure.

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In vivo MPM images of vitiligo lesional and nonlesional skin showing met...
(A) Representative en-face MPM images from the stratum granulosum in nonlesional (A1) and lesional skin (A2) and from the basal layer in nonlesional (B1) and lesional skin (B2) of 1 vitiligo patient. Average mitochondrial clustering values (β values) based on Z stacks from all vitiligo patients (n = 12) as a function of depth for nonlesional (top right) and lesional (bottom right) skin are shown as spline fits. Data are shown as mean ± SD of the measurements for the images in all the Z stacks at each area. The labels A1, A2, B1, and B2 within the mitochondrial clustering panels represent the mitochondrial clustering values extracted from the panel’s respective labeled images. Scale bars: 20 μm. (B) Representative en-face MPM images from the stratum granulosum in sun-exposed (A1) and non–sun-exposed skin (A2) and from the basal layer in sun-exposed (B1) and non–sun-exposed skin (B2) of 5 healthy volunteers. (C) Distribution of the median β values (left) and β variability values (right) in nonlesional and lesional skin of 12 vitiligo patients; each value corresponds to a Z stack of images acquired in nonlesional and lesional skin. *P < 0.05 by 2-tailed t test.(D) Distribution of the median β values (left) and β variability values (right) in sun-exposed and non–sun-exposed skin of 5 healthy volunteers; each value corresponds to a Z stack of images acquired in non–sun-exposed and sun-exposed areas.

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