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A multiomics analysis identifies retinol metabolism in fibroblasts as a key pathway in wound healing
Till Wüstemann, … , Ulrich auf dem Keller, Sabine Werner
Till Wüstemann, … , Ulrich auf dem Keller, Sabine Werner
Published October 16, 2025
Citation Information: JCI Insight. 2025;10(22):e194188. https://doi.org/10.1172/jci.insight.194188.
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Research Article Cell biology Dermatology Metabolism

A multiomics analysis identifies retinol metabolism in fibroblasts as a key pathway in wound healing

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Abstract

Impaired wound healing poses a major and increasingly frequent health problem. Among the key players in the healing process are fibroblasts, but their metabolic profile in healing wounds is largely unknown. Using a combination of transcriptomics, targeted proteomics, and metabolomics, we identified retinol metabolism as a top regulated pathway in wound fibroblasts. This is functionally relevant, since even a mild retinol deficiency caused a delay in wound closure and reepithelialization, which mainly resulted from misdirected keratinocyte migration on the new granulation tissue. Quantitative proteomics identified integrin subunit α11 as a less abundant protein in wounds of mice subjected to a retinol-deficient diet. Reduced levels of this fibroblast-specific protein likely altered the granulation tissue matrix, which in turn affected reepithelialization. These results provide a comprehensive overview of the transcriptome, proteome, and metabolome of wound fibroblasts and identify retinol metabolism in fibroblasts as a key regulator of tissue repair.

Authors

Till Wüstemann, Elizabeta Madzharova, Mateusz S. Wietecha, Norbert B. Ghyselinck, Marcus Höring, Gerhard Liebisch, Nicola Zamboni, Ulrich auf dem Keller, Sabine Werner

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Figure 3

Stra6 is dispensable for wound healing in mice.

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Stra6 is dispensable for wound healing in mice.
(A) Schematic outline of...
(A) Schematic outline of the experimental setup. Created in BioRender. Werner, S. (2025) https://BioRender.com/fxc8gmk (B) Representative images of H&E-stained 5-day wound sections from wild-type (WT) and Stra6–/– mice. G, granulation tissue; HE, hyperproliferative wound epidermis; Es, eschar. (C) Illustration of wound histomorphometry measurements. Created in BioRender. Werner, S. (2025) https://BioRender.com/714lbmt (D) Histomorphometric parameters based on H&E-stained wound sections. N = 11–13 mice per genotype (1 wound per mouse). (E) Collagen analysis by quantification of hydroxyproline in acid hydrolyzed skin and wound tissues and by quantification of Herovici- (graph “Collagen area”) stained wound sections. N = 4–13 mice per genotype (1 wound per mouse). Graphs show mean ± SD. Scale bars: 100 μm.

Copyright © 2025 American Society for Clinical Investigation
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