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1.
Br J Dermatol ; 178(2): 492-501, 2018 02.
Article in English | MEDLINE | ID: mdl-28845522

ABSTRACT

BACKGROUND: Adipose tissue is now appreciated as the pivotal regulator of metabolic and endocrine functions. Subcutaneous (SC) fat, in contrast to visceral fat, may protect against metabolic syndrome and systemic inflammation. We demonstrated that chronic as well as acute ultraviolet (UV) irradiation to the skin induces loss of underlying SC fat. UV-irradiated SC fat may produce chemokines or cytokines that modulate lipid homeostasis and secretion of adipokines. OBJECTIVES: To elucidate UV-induced specific adipochemokines implicated in UV-induced modulation of SC fat. METHODS: Primary cultured adipocytes were treated with conditioned medium from UV- or sham-irradiated skin cells. Young and older healthy participants provided SC fat from sun-exposed and sun-protected skin. Sun-protected skin from other participants was irradiated with UV. Differentially expressed adipochemokines were screened by cytokine array, and confirmed in vitro and in vivo. The functions of select adipochemokines involved in lipid metabolism were examined via short interfering RNA-mediated knockdown of cognate receptors. RESULTS: Specific adipochemokines, including C-X-C motif chemokine (CXCL) family members such as CXCL5/ENA-78, and C-C motif chemokine (CCL) family members such as CCL20/MIP-3α and CCL5/RANTES, were greatly induced in SC fat by UV exposure. They could impair triglyceride synthesis via downregulation of lipogenic enzymes and sterol regulatory element-binding protein-1 through their respective cognate receptors, CXC chemokine receptor type (CXC-R)2, C-C chemokine receptor type (CCR)-6, and CCR-5. In addition, UV irradiation induced infiltration of adipose tissue macrophages responsible for the secretion of several chemokines into SC fat. CONCLUSIONS: These UV-induced adipochemokines may be implicated in the reduction of lipogenesis in SC fat, leading to impairment of fat homeostasis and associated comorbidities such as obesity.


Subject(s)
Adipocytes/metabolism , Adipokines/radiation effects , Chemokines/radiation effects , Subcutaneous Fat/metabolism , Ultraviolet Rays , Adipokines/biosynthesis , Adult , Aged , Chemokine CCL20/radiation effects , Chemokine CCL5/radiation effects , Chemokine CXCL5/radiation effects , Chemokines/biosynthesis , Female , Gene Knockdown Techniques , Humans , Lipogenesis/radiation effects , Macrophages/radiation effects , Male , RNA Interference/radiation effects , Receptors, Chemokine/antagonists & inhibitors , Receptors, Chemokine/radiation effects , Triglycerides/biosynthesis , Up-Regulation/radiation effects
2.
Int J Cosmet Sci ; 39(4): 426-434, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28178365

ABSTRACT

OBJECTIVE: Erythema is the most common presenting sign in patients with skin diseases, and various methods to treat erythema symptoms have become common. To evaluate changes in erythema, a reliable device that can support objective diagnosis is required. We developed a novel photography-based system for erythema diagnosis that provides a high-resolution three-view photograph taken in a consistent photography environment with a curved surface light source and can be integrated with optimized image processing algorithms. METHODS: A new diagnostic algorithm was applied to photographs from 32 patients to determine areas of erythema automatically. To assess the performance in comparison to dermatologists' evaluations, five dermatologists independently evaluate the areas of erythema, and we defined an area called the clinical consensus area of erythema (CCAE), which is based on the majority opinion of dermatologists during evaluation. The CCAE values obtained were compared with the erythema areas determined by the system's diagnostic algorithm. RESULTS: Forty-one photographs with areas of erythema were evaluated by the proposed system and by dermatologists. The results obtained with the proposed system had a mean accuracy of 93.18% with a standard deviation of 3.52% when compared with the CCAE results. The results also showed that the proposed system could detect erythema areas without any pigmentation. In contrast to assessments by individual dermatologists, use of the CCAE reduced the amount of error that occurred owing to bias or subjectivity. CONCLUSION: A new erythema evaluation system was developed and validated through CCAE, suggesting that the system can support dermatologists' objective diagnoses of erythema.


Subject(s)
Dermatologists , Erythema/pathology , Photography/methods , Algorithms , Erythema/diagnosis , Humans
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