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A multiomics analysis identifies retinol metabolism in fibroblasts as a key pathway in wound healing
Till Wüstemann, Elizabeta Madzharova, Mateusz S. Wietecha, Norbert B. Ghyselinck, Marcus Höring, Gerhard Liebisch, Nicola Zamboni, Ulrich auf dem Keller, Sabine Werner
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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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 2

Retinol metabolism genes are regulated by retinoids in cultured fibroblasts.

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Retinol metabolism genes are regulated by retinoids in cultured fibrobla...
(A) Real-time quantitative PCR (RT-qPCR) for STRA6 and RARB relative to RPL27 using RNA from primary human fibroblasts, treated with 1 μM retinol (ROL), 0.1 μM pan-RAR inverse agonist (AGN193109), 0.1 μM pan-RAR inhibitor (AGN194310), charcoal-stripped FBS (Stripped FBS), or untreated FBS (for samples without Stripped FBS treatment) for 24 hours. N = 6 cultures from 1 donor per treatment group. (B) RT-qPCR for Stra6, Rbp1, Lrat, and Rdh10 relative to Rps29 using RNA from primary mouse fibroblasts, treated with 1 μM ROL for 24 hours after 48 hours of starvation in medium supplemented with 1% FBS. N = 5–6 cultures from 2–3 mice per treatment group. (C) RT-qPCR for STRA6 and RBP1 using RNA from primary human fibroblasts from 2 different donors (1 and 2), treated with 1 μM ROL, retinal (RAL), or RA for 24 hours after 48 hours of starvation in serum-free medium. N = 3 cultures per donor and treatment group. Graphs show mean ± SD. **P < 0.01, ****P < 0.0001, 1-way ANOVA, Šídák’s multiple comparisons test (A and C), or Mann-Whitney test (B).

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