The defence of dirt

Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene hypothesis

The increasing global incidence of atopic dermatitis (AD) in children, especially in Western industrialized nations, has attracted considerable attention. The hygiene hypothesis, which posits that early pathogen exposure is crucial for immune system development, is central to understanding this trend. Furthermore, advanced machine learning algorithms have provided fresh insights into the interactions among various risk factors. This study investigates the relationship between early childhood antibiotic use, the duration of exclusive breastfeeding, indoor environmental factors, and child AD. By integrating machine learning techniques with the hygiene hypothesis, we aim to assess and interpret the significance of these risk factors. In this community-based case-control study with a 1:4 matching design, we evaluated the prevalence of AD in preschool-aged children. Data were collected via questionnaires completed by the parents of 771 children diagnosed with AD, matched with controls based on gender, age, and ethnicity. Univariate analyses identified relevant characteristics, which were further examined using multivariable logistic regression to calculate odds ratios (ORs). Stratified analyses assessed confounders and interactions, while the significance of variables was determined using a machine learning model. Renovating the dwelling during the mother's pregnancy (OR = 1.50; 95% CI 1.15-1.96) was identified as a risk factor for childhood AD. Additionally, antibiotic use three or more times during the child's first year (OR = 1.92; 95% CI 1.29-2.85) increased the risk of AD, independent of the parents' history of atopic disease and the child's mode of birth. Moreover, exclusive breastfeeding for four months or more (OR = 1.59; 95% CI 1.17-2.17) was identified as a risk factor for AD, particularly in the group without a maternal history of atopic disease. In contrast, having older siblings in the family (OR = 0.76; 95% CI 0.63-0.92) and low birth weight (OR = 0.62; 95% CI 0.47-0.81) were identified as protective factors against AD. Machine learning modeling indicated that the duration of exclusive breastfeeding, having older siblings, low birth weight, and parental history of AD or allergic rhinitis are key predictors of childhood AD. Our findings support the broader interpretation of the hygiene hypothesis. Machine learning analysis highlights the key role of the hygiene hypothesis and underscores the need for future AD prevention and healthcare initiatives focusing on children with a parental history of AD or allergic rhinitis. Moreover, minimizing antibiotic overuse may be essential for preventing AD in children. Further research is necessary to elucidate the impact and mechanisms of exclusive breastfeeding on AD to instruct maternal and child healthcare practices.

Psoriasis in Swedish conscripts: time trend and association with T-helper 2-mediated disorders

BACKGROUND

According to the T-helper (Th)1/Th2 paradigm, it has been argued that Th1-dominated diseases such as psoriasis and Th2-dominated diseases such as asthma and hay fever should be mutually exclusive, as the immune regulatory cells, Th1 and Th2, cross-regulate each other. An increase in asthma and hay fever has occurred in Sweden over the past four to five decades, but the time trend for psoriasis is not clear.

OBJECTIVES

To assess the prevalence of psoriasis in young Swedish men over a period of three decades and the association between psoriasis and allergic disorders.

METHODS

Register study based on data from the Swedish Military Service Conscription Register and the Total Population and the Population and Housing Censuses. Psoriasis, asthma (with and without allergic rhinitis) and allergic rhinitis at conscription were studied in 1 226 193 male conscripts in successive cohorts born between 1952 and 1977.

RESULTS

The prevalence of psoriasis was about 0.5% and it remained stable over three decades. Conscripts with psoriasis and their siblings were less likely to have eczema. The reduced risk of eczema in conscripts with psoriasis was unchanged over time. A reduced risk of allergic rhinitis was also demonstrated in conscripts with psoriasis and their siblings but only in the most recent birth cohort born between 1970 and 1977.

CONCLUSIONS

A strong genetic influence may explain the unchanged prevalence of psoriasis in Swedish conscripts. A genetic predisposition for psoriasis may confer partial protection from eczema and allergic rhinitis. The inverse relationship between allergic rhinitis and psoriasis appeared to be a recent phenomenon.