Genetic variation of the cutaneous HPA axis: an analysis of UVB-induced differential responses.

Abstract

Mammalian skin incorporates a local equivalent of the hypothalamic-pituitary-adrenal (HPA) axis that is critical in coordinating homeostatic responses against external noxious stimuli. Ultraviolet radiation B (UVB) is a skin-specific stressor that can activate this cutaneous HPA axis. Since C57BL/6 (B6) and DBA/2J (D2) strains of mice have different predispositions to sensorineural pathway activation, we quantified expression of HPA axis components at the gene and protein levels in skin incubated ex vivo after UVB or sham irradiation. Urocortin mRNA was up-regulated after all doses of UVB with a maximum level at 50 mJ/cm(2) after 12h for D2 and at 200 mJ/cm(2) after 24h for B6. Proopiomelanocortin mRNA was enhanced after 6h with the peak after 12h and at 200 mJ/cm(2) for both genotypes of mice. ACTH levels in tissue and media increased after 24h in B6 but not in D2. UVB stimulated β-endorphin expression was higher in D2 than in B6. Melanocortin receptor 2 mRNA was stimulated by UVB in a dose-dependent manner, with a peak at 200 mJ/cm(2) after 12h for both strains. The expression of Cyp11a1 mRNA - a key mitochondrial P450 enzyme in steroidogenesis, was stimulated at all doses of UVB irradiation, with the most pronounced effect after 12-24h. UVB radiation caused, independently of genotype, a dose-dependent increase in corticosterone production in the skin, mainly after 24h of histoculture. Thus, basal and UVB stimulated expression of the cutaneous HPA axis differs as a function of genotype: D2 responds to UVB earlier and with higher amplitude than B6, while B6 shows prolonged (up to 48 h) stress response to a noxious stimulus such as UVB.

DOI: 10.1016/j.gene.2013.08.035
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@article{Skobowiat2013GeneticVO, title={Genetic variation of the cutaneous HPA axis: an analysis of UVB-induced differential responses.}, author={Cezary Skobowiat and Reza Nejati and Lu Lu and Robert W. Williams and Andrzej T Slominski}, journal={Gene}, year={2013}, volume={530 1}, pages={1-7} }