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Innate affairs of allergens

Activation of receptors of the innate immune system is a critical step in the initiation of immune responses.

Persistent Effects of Maternal Smoking during Pregnancy on Lung Function and Asthma in Adolescents

The extent to which maternal smoking in pregnancy (MSP) has persisting effects on respiratory health remains uncertain and the mechanisms involved are not...

IgE and IgG binding patterns and T-cell recognition of fel d 1 and Non-Fel d 1 cat allergens

To compare IgE and IgG antibody binding and T-cell recognition of the major cat allergen Fel d 1 with other cat proteins with known IgE binding properties.

Longer duration of exclusive breastfeeding associated with reduced risk of childhood asthma up to age six

Breastfeeding is recommended for all infants irrespective of atopic heredity, although epidemiological studies provide conflicting results in this debate.

The mechanism of deep inspiration-induced bronchoprotection: Evidence from a mouse model

In healthy individuals, deep inspirations (DIs) taken prior to a bronchial challenge reduce the bronchoconstrictor response, which is termed...

Vitamin D and atopy and asthma phenotypes in children

The purpose of this Review was to give an overview of the recent research into whether a lack of vitamin D contributes to the development of atopy and asthma...

Suppression of adrenomedullin contributes to vascular leakage and altered epithelial repair during asthma

The anti-inflammatory peptide, adrenomedullin (AM), and its cognate receptor are expressed in lung tissue, but its pathophysiological significance in airway...

Antibacterial antibody responses associated with the development of asthma in house dust mite-sensitised and non-sensitised children

We aimed to measure the antibody development to 2 bacteria in a birth cohort at high risk of allergic disease, and to assess which responses are asthma-linked.

Does machine learning have a role in the prediction of asthma in children?

Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.