Automation-assisted human skin-on-a-chip for modeling ultraviolet-induced injury and evaluating photoprotective and regenerative modalities

Abstract

Ultraviolet B (UVB) irradiation is a major cause of acute skin damage and photoaging; however, human-relevant in vitro platforms for systematic evaluation of photoprotective and regenerative strategies are limited. Increasing demands for reproducibility and throughput in preclinical studies highlight the need for microphysiological skin models compatible with laboratory automation. We present a human skin-on-a-chip platform interfaced with an automated workstation (ProMEPS®) for modeling UVB-induced skin damage. The platform consists of human keratinocytes and dermal fibroblasts cultured on opposite sides of a microporous membrane in an 8-unit format chip. Following UVB exposure, the model exhibited increased oxidative stress, inflammatory activation, and extracellular matrix (ECM) remodeling, while showing reduced proliferation and barrier marker expression in both epidermal and dermal compartments, recapitulating key features of acute UVB injury and early photoaging. We evaluated the photoprotective effects of conventional UV protectants and the regenerative effects of stem cell-derived nanovesicles in UVB-injured skin. Laboratory automation enabled reproducible skin barrier formation and transepithelial electrical resistance (TEER) measurements, with consistently higher baseline TEER values than in manually prepared chips. These results establish the platform as a quantitative and scalable system for evaluating UVB-induced skin injury and advanced intervention strategies. By enabling standardized, automation-assisted modeling of UVB-induced skin injury with geometry-controlled and compartment-resolved readouts, this platform overcomes reproducibility and throughput limitations that constrain existing skin-on-a-chip models.

Graphical abstract: Automation-assisted human skin-on-a-chip for modeling ultraviolet-induced injury and evaluating photoprotective and regenerative modalities

Supplementary files

Article information

Article type
Paper
Submitted
11 Feb 2026
Accepted
27 Apr 2026
First published
11 May 2026

Lab Chip, 2026, Advance Article

Automation-assisted human skin-on-a-chip for modeling ultraviolet-induced injury and evaluating photoprotective and regenerative modalities

Y. Lee, J. Lee, Y. Na, H. S. Rho, M. Kang, Y. Kim and J. Yoon, Lab Chip, 2026, Advance Article , DOI: 10.1039/D6LC00134C

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements