Search
Research
Maternal Allergic Disease Phenotype and Infant Birth Season Influence the Human Milk MicrobiomeEarly infancy is a critical period for immune development. In addition to being the primary food source during early infancy, human milk also provides multiple bioactive components that shape the infant gut microbiome and immune system and provides a constant source of exposure to maternal microbiota. Given the potential interplay between allergic diseases and the human microbiome, this study aimed to characterise the milk microbiome of allergic mothers.
Research
Infant Diet Recommendations Reduce IgE-Mediated Egg, Peanut, and Cow's Milk AllergiesMeta-analyses of randomized controlled trials have found that introducing eggs and peanuts earlier during infancy reduced egg and peanut allergy risk. Hence, infant feeding advice has dramatically changed from previous recommendations of avoidance to current recommendations of inclusion of common food allergens in infant diets.
Research
Behavioural and neuropsychological outcomes in children exposed in utero to maternal labour epidural analgesiaRecent studies report conflicting results regarding the relationship between labour epidural analgesia (LEA) in mothers and neurodevelopmental disorders in their offspring. We evaluated behavioural and neuropsychological test scores in children of mothers who used LEA.
Research
Autistic and autism community perspectives on infant and family support in the first two years of life: Findings from a community consultation surveyMost support programmes for Autistic children are available only after they are diagnosed. Research suggests that parenting supports may be helpful for parents and their infants, when provided in the first 2 years of life - before a formal diagnosis is given, but when information suggests an infant is more likely to be Autistic. However, we do not know how acceptable these types of supports might be to the Autistic and autism communities.
Research
Characterizing predictors of response to behavioral interventions for children with autism spectrum disorder: A meta-analytic approachA comprehensive understanding of specific factors contributing to variability in responsiveness of children with autism to interventions is paramount for making evidence-based clinical and policy decisions. This meta-analysis examined child and family characteristics, as well as intervention design factors, associated with outcomes of behavioral interventions for children with autism.
Research
DYRK1A regulates B cell acute lymphoblastic leukemia through phosphorylation of FOXO1 and STAT3DYRK1A is a serine/threonine kinase encoded on human chromosome 21 (HSA21) that has been implicated in several pathologies of Down syndrome (DS), including cognitive deficits and Alzheimer's disease. Although children with DS are predisposed to developing leukemia, especially B cell acute lymphoblastic leukemia (B-ALL), the HSA21 genes that contribute to malignancies remain largely undefined. Here, we report that DYRK1A is overexpressed and required for B-ALL. Genetic and pharmacologic inhibition of DYRK1A decreased leukemic cell expansion and suppressed B-ALL development in vitro and in vivo.
Research
Immune impacts of infant whole-cell and acellular pertussis vaccination on co-administered vaccinesWe compared the effect of a heterologous wP/aP/aP primary series (hereafter mixed wP/aP) versus a homologous aP/aP/aP primary schedule (hereafter aP-only) on antibody responses to co-administered vaccine antigens in infants and toddlers.
Research
Lytic activity, stability, biofilm disruption capabilities and genomic characterisation of two bacteriophages active against respiratory MRSAThis study aimed to characterise bacteriophages for potential therapeutic use against Staphylococcus aureus, focusing on clinical respiratory isolates of methicillin-sensitive (MSSA) and methicillin-resistant (MRSA) strains. Specifically, it sought to evaluate phage lytic activity, host range, stability, biofilm disruption capabilities, and overall safety for therapeutic use.
Research
Quantitative electroencephalogram and machine learning to predict expired sevoflurane concentration in infantsProcessed electroencephalography (EEG) indices used to guide anesthetic dosing in adults are not validated in young infants. Raw EEG can be processed mathematically, yielding quantitative EEG parameters (qEEG). We hypothesized that machine learning combined with qEEG can accurately classify expired sevoflurane concentrations in young infants. Knowledge from this may contribute to development of future infant-specific EEG algorithms.
Research
Azithromycin mitigates human rhinovirus impact on barrier integrity and function in non-diseased airway epitheliumAzithromycin improves symptomology in various chronic airway diseases exacerbated by viral infections. However, the mechanisms underlying the apparent antiviral effects of azithromycin remain unclear.