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The rise in IgE-mediated food allergy in recent times is the likely result of gene-environment interactions mediated via epigenetic pathways.
This article discusses the relationships between gut colonization & inflammatory noncommunicable diseases, in regards to their treatment and prevention.
This paper discusses the rising prevalence of allergic disease in children. This review article considers recent findings in the field of paediatric immune...
Environmental exposures including maternal inflammation, diet, nutrient balance, microbial colonization and toxin exposures can directly and indirectly...
The rise in food allergy is more rapid than genetic deviation would allow and the current consensus is that environmental factors integrally linked to the...
Allergic diseases are a major cause of morbidity in the developed world, now affecting up to 40 % of the population with no evidence that this is abating.
The diagnosis of food allergy (FA) can be challenging because approximately half of food-sensitized patients are asymptomatic.
Oral immunotherapy is effective at inducing desensitisation to allergens and induces sustained unresponsiveness (ie, clinical remission) in a subset of patients, but causes frequent reactions. We aimed to investigate whether addition of a probiotic adjuvant improved the efficacy or safety of peanut oral immunotherapy.
Although evidence suggests that the immune system plays a key role in the pathophysiology of nut allergy, the precise immunological mechanisms of nut allergy have not been systematically investigated. The aim of the present study was to identify gene network patterns and associated cellular immune responses in children with or without nut allergy.
The development of food allergy has been reported to be related with the changes in the gut microbiome, however the specific microbe associated with the pathogenesis of food allergy remains elusive. This study aimed to comprehensively characterize the gut microbiome and identify individual or group gut microbes relating to food-allergy using 16S rRNA gene sequencing with network analysis.