The latest medical research on Pediatric Allergy & Immunology

The research magnet gathers the latest research from around the web, based on your specialty area. Below you will find a sample of some of the most recent articles from reputable medical journals about pediatric allergy & immunology gathered by our medical AI research bot.

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Impulse Oscillometry Combined to FeNO in Relation to Asthma Control Among Preschool Children.

Journal of Asthma and Allergy

We aimed to observe and analyze the differences in impulse oscillometry (IOS) and fractional expiratory nitric oxide (FeNO) in relation to asthma control among preschool children, and to explore the predictive value of IOS combined with FeNO for uncontrolled asthma.

This study enrolled 171 preschool children with asthma and 30 healthy preschool children between June 2022 and June 2023. We categorized the asthmatic children as having controlled asthma (n=85) and uncontrolled asthma (n=86) after a 3-month follow-up. IOS and FeNO were collected on the first visit at baseline. Differences in metrics were compared between controlled asthma, uncontrolled asthma and healthy control groups. The area under the receiver operating characteristic curve (AUROC) was utilized to explore the discriminative ability of IOS and FeNO, alone or in combination, against uncontrolled asthma.

Compared to the controlled asthma group, the IOS values of R5, X5, R5-R20, and Fres were significantly higher in the uncontrolled asthma group, except for R20. R5 and R5-R20 had the highest area under the curve (AUC), which could reach 0.74 (95% CI 0.66-0.82) and 0.72 (95% CI 0.64-0.80). R20 had the lowest AUC of 0.59. The AUC for FeNO alone was 0.88 (95% CI 0.84-0.93) with a cutoff value of 17.50 ppb, sensitivity and specificity of 0.73 and 0.89. The AUCs of all IOS metrics combined with FeNO were significantly higher, with the highest AUC of 0.92 (95% CI 0.87-0.96) for R5-R20+FeNO, and with a sensitivity and specificity of 0.88 and 0.84.

There were significant differences in IOS and FeNO in relation to asthma control among preschooler children. FeNO might be the best predictor of asthma control, and adding any of IOS metrics increased moderately the predictive value.

In silico B-cell epitope prediction and molecular docking of Aspergillus allergens targeting improved ABPA diagnosis.

J Asthma

The objective of this study is to in silico predict Aspergillus fumigatus specific B-cell epitopes with a focus on enhancing Allergic Bronchopulmonary Aspergillosis (ABPA) diagnostic precision by using and to validate using molecular docking of Aspergillus fumigatus specific B-cell epitopes, aiming to overcome current serological and clinical method limitations and to support specific therapies and preventive strategies for better ABPA management.

The sequences of Asp f1, Asp f2, Asp f3, and Asp f4 from NCBI were analyzed using IEDB-AR for B-cell epitope prediction. Structural modeling and molecular docking analysis were conducted using MODELLER and HADDOCK, respectively, with visualization via PyMOL and PDBe PISA.

For Asp f1, two IgE-specific (40-47) and four IgG-specific (33-76, 125-148) B-cell epitopes were predicted. Asp f3 had one IgG-specific epitope (47-73), and Asp f4 had two IgG-specific epitopes (52-133) with no IgE epitopes. Asp f2 had eight IgE-specific epitopes (56-63, 93-99, 136-146, 153-160, 185-194, 200-206, 229-239) with IgPred scores above 0.931 and no IgG-specific epitopes. Molecular docking with HADDOCK Z-scores showed strong interactions between IgE and Asp f1 and Asp f2 epitopes. PyMOL and PISA-EBI identified key residues: LYS43 in Asp f1 forms a salt bridge with the IgE heavy chain. In Asp f2, out of nineteen identified residues, six residues (LYS 94, ARG 153, ASP 200, ASP 204, ASP 207 and GLU 233) were confirmed as part of the predicted IgE epitopes, exhibiting significant interactions with IgE, in agreement with both PyMOL and PISA analysis.

This study aimed to enhance ABPA diagnostics by identifying key B-cell epitopes of Aspergillus fumigatus through in silico prediction and molecular docking, a way to support personalized therapies and preventive strategies in future.

Asthma Identified as a Major Risk Factor for Recurrent Respiratory Tract Infections in Children: A Meta-Analysis of 29 Studies.

J Asthma

Recurrent respiratory tract infections (RRTIs) in children represent a significant clinical challenge. Although some studies have identified potential risk factors, a comprehensive and systematic overview is lacking.

This analysis is carried out to provide more advanced evidence to guide future prevention and health care.

This study (PROSPERO: CRD42024576464) was conducted in accordance with PRISMA guidelines. PubMed, Embase, Web of Science, and the Cochrane Library were searched for relevant studies published in English. Subgroup analysis, sensitivity analysis, and publication bias assessments were performed. Data analysis was conducted using Stata 17, and GRADE was employed to assess the quality of evidence. The risk factors identified in the positive results were discussed qualitatively.

A total of 29 studies covering 639078 children were included. Some risk factors: asthma(OR = 3.08,2.06-4.62), breast feeding < 6 month(OR = 1.26,1.04-1.52), DCC: day care center(OR = 1.50,1.16-1.93), have siblings(OR = 1.26,1.00-1.59), ETS: Environmental tobacco smoke (OR = 1.13,1.00-1.27), snoring(OR = 1.49,1.16-1.93)got positive result.

This analysis identifies several key risk factors for RRTIs in children, providing enhanced evidence for prevention and management strategies. In particular, asthma warrants closer attention, given its strong association with respiratory infections in pediatrics.

"I can't breathe, I can't catch my breath:" the impact of school staff storytelling on asthma management.

J Asthma

A qualitative data analysis was conducted to better understand experiences of asthma exacerbation among school staff through thematic analysis of stories of children in respiratory distress.

Qualitative thematic analysis was performed on 40 virtual or in-person interviews conducted with 44 staff from districts participating in a stock inhaler pilot program. Transcripts were iteratively coded by five coders. Stories of instances when a stock inhaler may have been helpful were subject to additional thematic analysis by one coder.

Forty-five stories across 27 interviews were identified. Major themes were split into "Provocation" and "Outcomes of Asthma Incident." "Educational and Communication Factors" in asthma exacerbations were discussed more often than environmental ones. Outcomes were divided into "Disposition" (with 14 participants choosing to describe incidents where emergency services were contacted), "Emotional Response," and "School Response." "Trauma for Students" was mentioned only by school nurses.

Stock inhaler programming can alleviate helplessness, reduce trauma, and avoid costly hospital visits. Personal narratives can be a powerful tool for understanding unique needs and developing tailored, sustainable interventions for individual districts. These stories are incredibly persuasive in convincing other schools, districts, lawmakers, and other stakeholders to implement stock inhaler programming.

Oscillometry in Asthma: Respiratory Modeling and Analysis in Occupational and Work-Exacerbated Phenotypes.

Journal of Asthma and Allergy

Asthma onset or worsening of the disease in adulthood may be associated with occupational asthma (OA) or work-exacerbated asthma (WEA). Oscillometry and respiratory modeling offer insight into the pathophysiology and contribute to the early diagnosis of respiratory abnormalities.

This study aims to compare the changes due to OA and WEA and evaluate the diagnostic accuracy of this method.

Ninety-nine volunteers were evaluated: 33 in the control group, 33 in the OA group, and 33 in the WEA group. The area under the receiver operator characteristic curve (AUC) was used to describe diagnostic accuracy.

Oscillometric analysis showed increased resistance at 4 hz (R4, p<0.001), 20 hz (R20, p<0.05), R4-R20 (p<0.0001), and respiratory work (p<0.001). Similar analysis showed reductions in dynamic compliance (p<0.001) and ventilation homogeneity, as evaluated by resonance frequency (Fr, p<0.0001) and reactance area (p<0.0001). Respiratory modeling showed increased peripheral resistance (p<0.0001), hysteresivity (p<0.0001), and damping (p<0.0001). No significant changes were observed comparing OA with WEA in any parameter. For OA, the diagnostic accuracy analyses showed Fr as the most accurate among oscillometric parameters (AUC=0.938), while the most accurate from respiratory modeling was hysteresivity (AUC=0.991). A similar analysis for WEA also showed that Fr was the most accurate among traditional parameters (AUC=0.972), and hysteresivity was the most accurate from modeling (AUC=0.987). The evaluation of differential diagnosis showed low accuracy.

Oscillometry and modeling have advanced our understanding of respiratory abnormalities in OA and WEA. Furthermore, our study presents evidence suggesting that these models could aid in the early diagnosis of these diseases. Respiratory oscillometry examinations necessitate only tidal breathing and are straightforward to conduct. Collectively, these practical considerations, coupled with the findings of our study, indicate that respiratory oscillometry in conjunction with respiratory modeling, may enhance lung function assessments in OA and WEA.

Fixed Airflow Obstruction in Asthma Can Be Identified Early by Low FEF25-75% and is Associated with Environmental Exposure.

Journal of Asthma and Allergy

This study aimed to identify environmental risk factors associated with asthmatic fixed airflow obstruction (FAO) and assess the relationship between small airway abnormalities defined by forced expiratory flow at 25-75% (FEF25-75%) and FAO.

We analyzed data from 312 han Chinese patients with stable asthma on standard treatment. Low FEF25-75% was defined as post-bronchodilator FEF25-75% z-score <-0.8435, and FAO as post-bronchodilator FEV1/FVC z-score <-1.645. Exposure levels were retrospectively analyzed in relation to FAO risk in asthmatics. Asthmatics were grouped by low FEF25-75% and FAO, and lung function, environmental exposure, daily symptoms, and exacerbations in the previous year were compared cross-sectionally across groups.

In retrospective analyses, pack-years of smoking in male patients (adjusted odd ratio [95% confidence interval] 1.05 [1.03-1.07], P<0.001), biomass exposure for >20 years (2.65 [1.13-6.43], P=0.027), occupational exposure for >10 years (2.01 [1.06-3.86], P=0.035) and occupational exposure for >20 years (2.67 [1.24-5.91], P=0.013) were associated with asthmatic FAO. In cross-sectional analyses, compared with the normal FEF25-75%/ asthmatics without FAO (NON-FAO) group, the low FEF25-75%/ asthmatics with FAO (FAO) group had lower FEV1 z-scores and FEV1/FVC z-scores, more pack-years and years of biomass and occupational exposure, higher Asthma Control Questionnaire-5 and Chronic Obstructive Pulmonary Disease Assessment Test scores, and more frequent exacerbations. The low FEF25-75%/NON-FAO group showed the same trend, but to a lesser extent.

Chronic airway inflammation is not the only driver of asthmatic FAO, and management and treatment targeting environmental risk factors (smoking and biomass and occupational exposures) may slow FAO progression in asthmatics. The FEF25-75% determined by the z-score is a reliable marker of small airway abnormalities, and patients with low FEF25-75% are at greater risk for FAO, requiring more frequent follow-up.

Longitudinal study on peak expiratory flow monitoring and its impact on quality of life in childhood asthma.

J Asthma

To evaluate the impact of peak expiratory flow (PEF) monitoring using a smart peak flow (SPF) device on the quality of life (QoL) and satisfaction among children with asthma.

This 3-month prospective cohort study enrolled 71 children aged 7 to 17 years with physician-diagnosed asthma. Participants used the SPF device twice daily, with measurements recorded automatically. Quality of life was assessed using the Pediatric Asthma Quality of Life Questionnaire (PAQLQ), and asthma control was assessed using the Asthma Control Test (ACT) or Childhood Asthma Control Test (C-ACT). Adherence to PEF measurements and satisfaction with the device were evaluated.

Seventy-one children (mean age 11.4 years) completed the study. Adherence to twice-daily PEF measurements decreased significantly over three months (from 50.0% at 1 month to 39.9% at 3 months, p < 0.001). Children with good adherence (38.0%) showed significant improvements in PAQLQ scores, while those with poor adherence (62.0%) did not. COVID-19 infection resulted in a significant decrease in %PEF rate and increased peak flow variability. Despite device-related issues, overall satisfaction was high (85.19% for good adherence users vs. 88.64% for poor adherence users, p = 0.671).

Regular PEF monitoring improves QoL in children with asthma by enabling early detection of symptom changes and better management. However, maintaining adherence to regular PEF monitoring is challenging. Further research with control groups is needed to validate these findings.

Adherence to Mediterranean diet and asthma control. Results from a small study among asthmatic patients in Greece.

J Asthma

Current variations in asthma prevalence and clinical characteristics suggest that lifestyle choices including dietary habits, may affect the pathogenesis and/or clinical expression of the disease. The purpose of this study is to evaluate the association between adherence to Mediterranean diet (MD) and asthma control, considering disease severity.

Adherence to MD was assessed through a questionnaire, the MD Adherence Screener (MEDAS), previously validated in Mediterranean populations. Each participant received a score ranging from 0 to 14. A score higher than 10 indicates high MD adherence. The level of asthma control was assessed by the Asthma Control Test and two groups were formed (controlled vs. partly controlled/uncontrolled).

The study sample included 105 participants (34% males). About 45% of participants were severe asthmatics. Adherence to MD was associated with 14% higher, though not statistically significant, probability of controlled asthma in the overall study sample (OR = 1.14; 95% CI = 0.46-2.81) and 60% higher probability of controlled asthma among severe asthmatics (OR = 1.60, 95% CI = 0.46-5.59).

These results indicate a possible association between adherence to MD and asthma control, but findings are restricted by the study's small sample size which does not allow asserting the inference.

Association of Mite Molecular Sensitization Profiles with Respiratory Allergies and Asthma Control in Children from East China.

Journal of Asthma and Allergy

Allergic conditions, identified as a significant global health challenge, are profoundly influenced by indoor allergens, especially house dust mites (HDM). Yet the relationship between mite sensitized components and respiratory allergies and asthma control remains poorly understood.

A cohort of 96 children, either with allergic rhinitis (AR) or rhinitis with asthma syndrome (ARAS), was assessed. Protein microarray technology was deployed to quantify sIgE responses to the allergenic components of Der p and Der f.

The study cohort comprised 18 AR and 78 ARAS patients; with 43 mild and 53 moderate-to-severe AR; with 28 uncontrolled, 21 partially controlled, and 29 well-controlled asthma. Sensitization prevalence for HDM components was highest with Der p (97.9%), Der f 2 (97.9%), Der p 2 (94.8%), Der f 1(94.8%), Der p 1 (93.8%), Der p 23 (57.3%). Notably, sIgE concentrations for Der f and Der f 2 were significantly greater in the ARAS compared to AR (P < 0.05). While sIgE levels varied between mild and moderate-to-severe AR, the differences were not statistically significant (P > 0.05). However, Der p 23 sIgE levels demonstrated a significant fluctuation across the asthma control strata (P < 0.05), with the well-controlled group exhibiting the lowest readings.

The sIgE levels to HDM allergens were higher in ARAS group compared to AR group, especially Der f and Der f 2, indicating an association between sIgE reactivity and the diagnosis of asthma. Reduced Der p 23 sIgE levels were indicative of enhanced asthma control.

Reduced Effectiveness of Anti-IgE Treatment Among Adults with Severe Asthma with Older Age of Asthma Onset: Results from the CHRONICLE Study.

Journal of Asthma and Allergy

Younger age of asthma onset (AAO) has been associated with an allergic phenotype, whereas eosinophilic phenotypes have been associated with older AAO. In randomized trials, biologic efficacy among adults with severe asthma (SA) has varied by age at asthma onset. To determine whether these associations observed in trials apply to real-world outcomes, this study examined biologic effectiveness by AAO and biologic class in a large, real-world cohort.

CHRONICLE is an ongoing, real-world study of US adults with subspecialist-treated SA receiving biologics, maintenance corticosteroids, or who are uncontrolled on high-dosage inhaled corticosteroids with additional controllers. Patients enrolled between February 2018 and February 2022 who initiated a biologic for SA and had complete data for analysis were included. A locally estimated scatterplot smoothing (LOESS) analysis was used to plot the relationship between percentage exacerbation rate reduction and AAO by biologic class.

Of 578 patients with complete data, 198, 149, and 231 were diagnosed with asthma at age <18, 18-39, and ≥40 years, respectively. Across subgroups, patients were predominantly White (72-78%), female (67-73%), and commercially insured (54-71%). In the LOESS analysis, exacerbation rate reductions were similar for anti-IgE and anti-IL-5/5R and anti-IL-4R subgroups with younger AAO, but the exacerbation rate reduction diminished for patients with older AAO receiving anti-IgE therapy, particularly with asthma onset age ≥40 years.

Clinicians should consider age of onset in biologic treatment decisions, given reduced effectiveness of omalizumab in patients with asthma onset at age ≥40 years.

NCT03373045.

Efficacy and safety of Montelukast-Levocetirizine Combination Therapy in Combined Allergic Rhinitis and Asthma Syndrome: A Systematic Review and Meta-Analysis.

J Asthma

This meta-analysis aims to evaluate the efficacy and safety of montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma, and to provide objective and effective evidence-based medical evidence for clinical use.

Pubmed, Web of Science, Cochrane Library, WANFANG DATA, CNKI, and Chinese BioMedical Literature Database were retrieved to identify records related to Montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma.

First, the eligibility criteria were employed to screen search results. Then, two investigators independently assessed titles, abstracts, and the full text of all retrieved references to identify potentially eligible studies.

As of 2024-02-03, a total of 6 articles were included in this meta-analysis, covering 2950 patients with allergic rhinitis with asthma. The meta-analysis results exhibited a pooled NSS of -1.28 (95%CI: -1.64 to -0.92), suggesting that the combination of montelukast and levocetirizine was effective in the treatment of nasal symptoms of allergic rhinitis complicated with asthma. The meta-analysis of controlled trials showed that the SMD of NSS in the group of Montelukast combined with levocetirizine was -2.56 (95%CI: -2.77 to -2.35). The result indicated that compared with the control group, the combination of montelukast with levocetirizine significantly improved the symptoms of allergic rhinitis.

In summary, this meta-analysis demonstrated the efficacy of montelukast combined with levocetirizine in the treatment of nasal symptoms in AR with asthma, indicating that the combination of montelukast with levocetirizine is more effective in improving symptoms of allergic rhinitis than monotherapy and has good safety.

Assessing Prospective Molecular Biomarkers and Functional Pathways in Severe Asthma based on a Machine Learning method and Bioinformatics Analyses.

J Asthma

Severe asthma, which differs significantly from typical asthma, involves specific molecular biomarkers that enhance our understanding and diagnostic capabilities. The objective of this study is to assess the biological processes underlying severe asthma and to detect key molecular biomarkers.

We used Weighted Gene Co-Expression Network Analysis (WGCNA) to detect hub genes in the GSE143303 dataset and indicated their functions and regulatory mechanisms using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Gene Ontology (GO) annotations. In the GSE147878 dataset, we used Gene Set Enrichment Analysis (GSEA) to determine the regulatory directions of gene sets. We detected differentially expressed genes in the GSE143303 and GSE64913 datasets, constructed a Least Absolute Shrinkage and Selection Operator (LASSO) regression model, and validated the model using the GSE147878 dataset and real-time quantitative PCR (RT-qPCR) to confirm the molecular biomarkers.

Using WGCNA, we discovered modules that were strongly correlated with clinical features, specifically the purple module (r = 0.53) and the midnight blue module (r = -0.65). The hub genes within these modules were enriched in pathways related to mitochondrial function and oxidative phosphorylation. GSEA in the GSE147878 dataset revealed significant enrichment of upregulated gene sets associated with oxidative phosphorylation and downregulated gene sets related to asthma. We discovered 12 commonly regulated genes in the GSE143303 and GSE64913 datasets and developed a LASSO regression model. The model corresponding to lambda.min selected nine genes, including TFCP2L1, KRT6A, FCER1A, and CCL5, which demonstrated predictive value. These genes were significantly upregulated or under expressed in severe asthma, as validated by RT-qPCR.

Mitochondrial abnormalities affecting oxidative phosphorylation play a critical role in severe asthma. Key molecular biomarkers like TFCP2L1, KRT6A, FCER1A, and CCL5, are essential for detecting severe asthma. This research significantly enhances the understanding and diagnosis of severe asthma.