RESUMEN
BACKGROUND: Atopic dermatitis (AD) is a common chronic inflammatory skin disease. Skin barrier defects contribute to disease initiation and development; however, underlying mechanisms remain elusive. OBJECTIVE: To understand the underlying cause of barrier defect, we investigated aberrant expression of specific microRNAs (miRNAs) in AD. Delineating the molecular mechanism of dysregulated miRNA network, we focused on identification of specific drugs that can modulate miRNA expression and repair the defective barrier in AD. METHODS: A screen for differentially expressed miRNAs between healthy skin and AD lesional skin resulted in the identification of miR-335 as the most consistently downregulated miRNA in AD. Using in silico prediction combined with experimental validation, we characterized downstream miR-335 targets and elucidated the molecular pathways by which this microRNA maintains epidermal homeostasis in healthy skin. RESULTS: miR-335 was identified as a potent inducer of keratinocyte differentiation; it exerts this effect by directly repressing SOX6. By recruiting SMARCA complex components, SOX6 suppresses epidermal differentiation and epigenetically silences critical genes involved in keratinocyte differentiation. In AD lesional skin, miR-335 expression is aberrantly lost. SOX6 is abnormally expressed throughout the epidermis, where it impairs skin barrier development. We demonstrate that miR-335 is epigenetically regulated by histone deacetylases; a screen for suitable histone deacetylase inhibitors identified belinostat as a candidate drug that can restore epidermal miR-335 expression and rescue the defective skin barrier in AD. CONCLUSION: Belinostat is of clinical significance not only as a candidate drug for AD treatment, but also as a potential means of stopping the atopic march and further progression of this systemic allergic disease.
Asunto(s)
Dermatitis Atópica/metabolismo , Inhibidores de Histona Desacetilasas/farmacología , Ácidos Hidroxámicos/farmacología , MicroARNs/genética , Factores de Transcripción SOXD/metabolismo , Piel/metabolismo , Sulfonamidas/farmacología , Línea Celular , Dermatitis Atópica/genética , Humanos , Factores de Transcripción SOXD/genéticaRESUMEN
In 2005, the International Union of Basic and Clinical Pharmacology Committee on Receptor Nomenclature and Drug Classification (NC-IUPHAR) published a catalog of all of the human gene sequences known or predicted to encode G protein-coupled receptors (GPCRs), excluding sensory receptors. This review updates the list of orphan GPCRs and describes the criteria used by NC-IUPHAR to recommend the pairing of an orphan receptor with its cognate ligand(s). The following recommendations are made for new receptor names based on 11 pairings for class A GPCRs: hydroxycarboxylic acid receptors [HCA1 (GPR81) with lactate, HCA2 (GPR109A) with 3-hydroxybutyric acid, HCA3 (GPR109B) with 3-hydroxyoctanoic acid]; lysophosphatidic acid receptors [LPA4 (GPR23), LPA5 (GPR92), LPA6 (P2Y5)]; free fatty acid receptors [FFA4 (GPR120) with omega-3 fatty acids]; chemerin receptor (CMKLR1; ChemR23) with chemerin; CXCR7 (CMKOR1) with chemokines CXCL12 (SDF-1) and CXCL11 (ITAC); succinate receptor (SUCNR1) with succinate; and oxoglutarate receptor [OXGR1 with 2-oxoglutarate]. Pairings are highlighted for an additional 30 receptors in class A where further input is needed from the scientific community to validate these findings. Fifty-seven human class A receptors (excluding pseudogenes) are still considered orphans; information has been provided where there is a significant phenotype in genetically modified animals. In class B, six pairings have been reported by a single publication, with 28 (excluding pseudogenes) still classified as orphans. Seven orphan receptors remain in class C, with one pairing described by a single paper. The objective is to stimulate research into confirming pairings of orphan receptors where there is currently limited information and to identify cognate ligands for the remaining GPCRs. Further information can be found on the IUPHAR Database website (http://www.iuphar-db.org).