Meta-analysis of early-life antibiotic use and allergic rhinitis

Construction and validation of a predictive model for allergic rhinitis complicating children with bronchial asthma

This study aimed to investigate the factors influencing the complication of allergic rhinitis in children with bronchial asthma and to construct a nomogram model to predict the occurrence of allergic rhinitis. A total of 190 children with bronchial asthma admitted to our hospital from August 2020 to August 2024 were retrospectively analyzed. The children were randomly divided into the training cohort (133 cases) and validation cohort (57 cases) in a ratio of 7:3. The children in the modeling set were divided into an allergic rhinitis group (n=44) and a nonallergic rhinitis group (n=89) depending on the presence or absence of concomitant allergic rhinitis. A total of 62 cases in 190 children with bronchial asthma had complications with allergic rhinitis, with an incidence of 32.63%. In the training cohort, compared with the children in the nonallergic rhinitis group, percentage of smokers in the household, C-reactive protein (CRP), white blood cell count (WBC), and neutrophils/lymphocytes (NLR) were significantly higher in the allergic rhinitis group (P < 0.05). Multivariable logistic regression analysis showed that smokers in the household; IgE; early use of antibiotics; and elevated CRP, WBC, and NLR were all risk factors for the complication of allergic rhinitis in children with bronchial asthma (P < 0.05). A nomogram prediction model was constructed based on the above risk factors. The C-index of the nomogram was 0.919 (95% CI: 0.742-0.934) and 0.841 (95% CI: 0.773-0.902) for the training cohort and validation cohort, respectively. The Hosmer-Lemeshow test results of the training and validation cohorts were both P > 0.05, suggesting a good model fit. The results of DCA showed that the training and validation cohorts had good threshold probability and clinical net benefit. Smokers in the household, IgE, CRP, WBC, and NLR levels were all risk factors for the complication of allergic rhinitis in children with bronchial asthma. A nomogram model based on these risk factors may be a valuable clinical tool for predicting allergic rhinitis in children with bronchial asthma.

Allergen-specific sublingual immunotherapy altered gut microbiota in patients with allergic rhinitis

Introduction

Allergen-specific immunotherapy (AIT) induces long-term immune tolerance to allergens and is effective for treating allergic rhinitis (AR). However, the impact of sublingual immunotherapy (SLIT) on gut microbiota from AR patients and its correlation with treatment efficacy remains unclear.

Methods

In the present study, we enrolled 24 AR patients sensitized to Dermatophagoides farinae (Der-f) and 6 healthy donors (HD). All AR patients received SLIT treatment using standardized Der-f drops. Stool samples were collected from AR patients before treatment, and 1- and 3-months post-treatment, as well as from HD, for metagenomic sequencing analysis.

Results

AR patients had significantly lower richness and diversity in gut microbiota compared to HD, with notable alterations in composition and function. Besides, three months post-SLIT treatment, significant changes in gut microbiota composition at the genus and species levels were observed in AR patients. Streptococcus parasanguinis_B and Streptococcus parasanguinis, which were significantly lower in AR patients compared to HD, increased notably after three months of treatment. LEfSe analysis identified these species as markers distinguishing HD from AR patients and AR patients pre- from post-SLIT treatment. Furthermore, changes in the relative abundance of S. parasanguinis_B were negatively correlated with changes in VAS scores but positively correlated with changes in RCAT scores, suggesting a positive correlation with effective SLIT treatment.

Discussion

SLIT treatment significantly alters the gut microbiota of AR patients, with S. parasanguinis_B potentially linked to its effectiveness. This study offers insights into SLIT mechanisms and suggests that specific strains may serve as biomarkers for predicting SLIT efficacy and as modulators for improving SLIT efficacy.

Maternal constipation is associated with allergic rhinitis in the offspring: A nationwide retrospective cohort study

Allergic rhinitis (AR) is a common atopic disease worldwide, and it was found that babies with constipation in their early life might have an increased risk of atopic diseases, including AR. Furthermore, recent studies also indicate that the maternal gut microbiota may influence babies. Thus, we extended the definition of early life in utero and evaluated the association between maternal constipation and the risk of AR in their babies. Using the Longitudinal Health Insurance Database, a subset of Taiwan's National Health Insurance Research Database, we identified 102,820 constipated mothers and 102,820 matched controls between 2005 and 2015. Propensity score analysis was used to match birth year, child sex, birth weight, gestational age, mode of delivery, maternal comorbidities, and children antibiotics taken. Multiple Cox regression and subgroup analyzes were conducted to estimate the adjusted hazard ratio of childhood AR. The incidence of childhood AR was 83.47 per 1,000 person-years in constipated mothers. Adjusting children's sex, birth weight, gestational age, mode of delivery, maternal comorbidities, and children antibiotic use, the results showed that the children whose mothers had constipation had a 1.20-fold risk of AR compared to children of mothers without constipation. Maternal constipation was associated with an increased risk of AR. Therefore, it is important to pay close attention to pregnant mothers with constipation.

Environmental Risk Factors, Protective Factors, and Biomarkers for Allergic Rhinitis: A Systematic Umbrella Review of the Evidence

Many potential environmental risk factors, protective factors, and biomarkers of AR have been published, but so far, the strength and consistency of their evidence are unclear. We conducted a comprehensive review of environmental risk, protective factors, and biomarkers for AR to establish the evidence hierarchy. We systematically searched Embase, PubMed, Cochrane Library, and Web of Science electronic database from inception to December 31, 2022. We calculated summary effect estimate (odds ratio (OR), relative risk (RR), hazard ratio (HR), and standardized mean difference (SMD)), 95% confidence interval, random effects p value, I2 statistic, 95% prediction interval, small study effects, and excess significance biases, and stratification of the level of evidence. Methodological quality was assessed by AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews 2). We retrieved 4478 articles, of which 43 met the inclusion criteria. The 43 eligible articles identified 31 potential environmental risk factors (10,806,206 total population, two study not reported), 11 potential environmental protective factors (823,883 total population), and 34 potential biomarkers (158,716 total population) for meta-analyses. The credibility of evidence was convincing (class I) for tic disorders (OR = 2.89, 95% CI 2.11-3.95); and highly suggestive (class II) for early-life antibiotic use (OR = 3.73, 95% CI 3.06-4.55), exposure to indoor dampness (OR = 1.49, 95% CI 1.27-1.75), acetaminophen exposure (OR = 1.54, 95% CI 1.41-1.69), childhood acid suppressant use (OR = 1.40, 95% CI 1.23-1.59), exposure to indoor mold (OR = 1.66, 95% CI 1.26-2.18), coronavirus disease 2019 (OR = 0.11, 95% CI 0.06-0.22), and prolonged breastfeeding (OR = 0.72, 95% CI 0.65-0.79). This study is registered in PROSPERO (CRD42022384320).