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IgE and T-cell responses to house dust mite allergen componentsRecent studies with synthetic peptides representing allergens and non-allergenic house dust mite proteins now offer new research avenues on HDM induced immune responses
Research
Epigenetic dysregulation of naive CD4+ T-cell activation genes in childhood food allergyOur data indicate epigenetic dysregulation in the early stages of signal transduction through the T cell receptor complex, and likely reflects pathways modified by gene-environment interactions in food allergy
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Cellular and molecular mechanisms of vitamin D in food allergyEpidemiological evidence from the past decade suggests a role of vitamin D in food allergy pathogenesis
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Large-Scale Structural Variation Detection in Subterranean Clover Subtypes Using Optical MappingThe accuracy of structural variations detection by Bionano optical mapping is highly dependent on the quality of reference genomes and the density of selected nickases
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Rhinovirus is the most common virus and rhinovirus-C is the most common species in paediatric intensive care respiratory admissionsThis is the first report examining the role of different rhinovirus species in ARIs in children admitted to a tertiary PICU
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Personalized transcriptomics reveals heterogeneous immunophenotypes in children with viral bronchiolitisDysregulated expression of IFN-dependent pathways after respiratory viral infections is a defining immunophenotypic feature of AVB-susceptible infants
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Identifying pediatric lung disease: A comparison of forced oscillation technique outcomesThese findings suggest the utility of specific FOT outcomes is dependent on the respiratory disease being assessed
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Cochrane corner: platinum-induced hearing loss after treatment for childhood cancerThis systematic review shows that children treated with platinum analogues are at risk of developing hearing loss
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Functional connectivity of the vigilant-attention network in children and adolescents with attention-deficit/hyperactivity disorderADHD patients showed substantially diminished intrinsic coupling for 7 connections and increased coupling for 4 connections
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medicationThe majority of staff and machine learning models were not more accurate than suggested by chance