The hyaluronan metabolism in the UV-irradiated human epidermis and the relevance of in vitro epidermal models.
Romana ŠínováVojtech PavlikMatěj ŠimekMartin ČepaMartin OndrejKristina NešporováVladimír VelebnýPublished in: Experimental dermatology (2023)
Exposure to the sun affects the skin and may eventually result in UV-induced skin damage. It is generally known that hyaluronan (HA) is one of the main structural and functional components of the skin. However, UV-related changes in the HA metabolism in the skin have not yet been elucidated. Using qRT-PCR, confocal microscopy and LC-MS/MS we compared the naturally sun-exposed (SE), sun-protected, experimentally repeatedly UVA + UVB-exposed and acutely (once) UVA + UVB irradiated skin of Caucasian women. The epidermis was harvested by means of suction blistering 24 h after the acute irradiation. In addition, the epidermis was compared with a UV-irradiated in vitro reconstituted 3D epidermis (EpiDerm) and an in vitro 2D culture of normal human keratinocytes (NHEK). The amount of HA was found to be statistically significantly enhanced in the acutely irradiated epidermis. The acute UV evinced the upregulation of HA synthases (HAS2 and HAS3), hyaluronidases (HYAL2 and HYAL3), Cluster of differentiation 44 (CD44), and Cell Migration Inducing Proteins (CEMIP and CEMIP2), while only certain changes were recapitulated in the 3D epidermis. For the first time, we demonstrated the enhanced gene and protein expression of CEMIP and CEMIP2 following UV irradiation in the human epidermis. The data suggest that the HA metabolism is affected by UV in the irradiated epidermis and that the response can be modulated by the underlying dermis.
Keyphrases
- wound healing
- endothelial cells
- soft tissue
- cell migration
- induced pluripotent stem cells
- aqueous solution
- liver failure
- drug induced
- high glucose
- cell proliferation
- type diabetes
- radiation induced
- machine learning
- dna methylation
- metabolic syndrome
- pregnant women
- aortic dissection
- acute respiratory distress syndrome
- deep learning
- genome wide identification