8 research outputs found

    Disease-associated KIF3A variants alter gene methylation and expression impacting skin barrier and atopic dermatitis risk

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    Genetic variants in KIF3A are associated with atopic dermatitis (AD). Here, the authors identify two AD-risk alleles that show high methylation resulting in lower KIF3A expression. Mice with epidermis-specific loss of Kif3a show disrupted skin barrier homeostasis and increased AD susceptibility

    Disease-associated KIF3A variants alter gene methylation and expression impacting skin barrier and atopic dermatitis risk.

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    Single nucleotide polymorphisms (SNPs) in the gene encoding kinesin family member 3A, KIF3A, have been associated with atopic dermatitis (AD), a chronic inflammatory skin disorder. We find that KIF3A SNP rs11740584 and rs2299007 risk alleles create cytosine-phosphate-guanine sites, which are highly methylated and result in lower KIF3A expression, and this methylation is associated with increased transepidermal water loss (TEWL) in risk allele carriers. Kif3aK14∆/∆ mice have increased TEWL, disrupted junctional proteins, and increased susceptibility to develop AD. Thus, KIF3A is required for skin barrier homeostasis whereby decreased KIF3A skin expression causes disrupted skin barrier function and promotes development of AD

    Vanin-1 expression and methylation discriminate pediatric asthma corticosteroid treatment response

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    BackgroundThere is considerable heterogeneity in asthma treatment response.ObjectiveWe sought to identify biomarkers of corticosteroid treatment response in children with asthma and evaluate the utility and mechanistic basis of these biomarkers.MethodsChildren (5-18 years) presenting to the emergency department with an acute asthma exacerbation were recruited and followed during hospitalization. Nasal epithelial cells were collected on presentation to the emergency department (T0) and 18 to 24 hours later (T1), and T1/T0 gene expression ratios were analyzed to identify genes associated with good and poor corticosteroid treatment response phenotypes. The utility of these genes in discriminating between systemic corticosteroid treatment response groups was then tested prospectively in a new cohort of patients. A gene candidate (vanin-1 [VNN1]) that consistently distinguished good versus poor response phenotypes was further studied in an experimental asthma model, and VNN1 promoter methylation was measured by means of bisulfite pyrosequencing in patients.ResultsVNN1 mRNA expression changes were associated with systemic corticosteroid treatment response in children with acute asthma, and VNN1 was required for optimal response to corticosteroid treatment in an experimental asthma model. A CpG site within the VNN1 promoter was differentially methylated between good versus poor treatment response groups, and methylation at this site correlated with VNN1 mRNA expression.ConclusionsWe have identified a biological basis for poor corticosteroid treatment response that can be used to distinguish a subgroup of asthmatic children who respond poorly to systemic corticosteroid treatment. VNN1 contributes to corticosteroid responsiveness, and changes in VNN1 nasal epithelial mRNA expression and VNN1 promoter methylation might be clinically useful biomarkers of treatment response in asthmatic children

    Vanin-1 expression and methylation discriminate pediatric asthma corticosteroid treatment response

    No full text
    BACKGROUND: There is considerable heterogeneity in asthma treatment response. OBJECTIVE: To identify biomarkers of corticosteroid treatment response in children with asthma and evaluate the utility and mechanistic basis of these biomarkers. METHODS: Children (5–18 years) presenting to the Emergency Department (ED) with an acute asthma exacerbation were recruited and followed during hospitalization. Nasal epithelial cells were collected upon presentation to the ED (T(0)) and 18–24 hours later (T(1)) and T(1)/T(0) gene expression ratios were analyzed to identify genes associated with good and poor corticosteroid treatment response phenotypes. The utility of these genes in discriminating between systemic corticosteroid treatment response groups was then tested prospectively in a new cohort of patients. A gene candidate (VNN1) that consistently distinguished good versus poor response phenotypes was further studied in an experimental asthma model and VNN1 promoter methylation was measured by bisulfite pyrosequencing in patients. RESULTS: VNN1 mRNA expression changes were associated with systemic corticosteroid treatment response in children with acute asthma and VNN1 was required for optimal response to corticosteroid treatment in an experimental asthma model. A CpG site within the VNN1 promoter was differentially methylated between good versus poor treatment response groups and methylation at this site correlated with VNN1 mRNA expression. CONCLUSIONS: We have identified a biological basis for poor corticosteroid treatment response that can be used to distinguish a subgroup of asthmatic children who respond poorly to systemic corticosteroid treatment. VNN1 contributes to corticosteroid responsiveness and changes in VNN1 nasal epithelial mRNA expression and VNN1 promoter methylation may be clinically useful biomarkers of treatment response in asthmatic children
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