Abstract
![]() |
Interplay between AIT and biologics in modulating allergic inflammation. |
A blog that publishes updates and open access scientific papers about allergy, asthma and immunology. Editor: Juan Carlos Ivancevich, MD. Specialist in Allergy & Immunology
Abstract
![]() |
Interplay between AIT and biologics in modulating allergic inflammation. |
Objective: To analyze sensitization to Dermatophagoides pteronyssinus and to investigate the association between diagnostic findings and clinical severity in 218 allergic patients from 2 continents.
Methods: Mite-allergic patients were recruited by allergology departments in Latin America (n=88: Colombia, Costa Rica, and Guatemala) and Spain (n=130). All patients had allergic rhinitis with or without asthma and positive skin prick test results to D pteronyssinus. Specific IgE levels to D pteronyssinus, Dermatophagoides farinae, Der p 1, Der p 2, and Der p 23 were quantified using ImmunoCAP (Thermo Fisher Scientific). The allergenic profile was also determined by Western blotting. A comparative statistical analysis was performed using GraphPad software.
Results: Patients most frequently recognized Der p 2 (79%), followed by Der p 1 (73%) and Der p 23 (69%). The percentage of patients with asthma increased with the number of sensitizations; however, no statistically significant differences were found.Louca N, Damianou D, Kostea N, Kouis P, Yiallouros P, Pitsios C. Medicina. 2025; 61(3):516. https://doi.org/10.3390/medicina61030516
Xie, A., He, Z., Song, C. et al. BMC Pulm Med 25, 183 (2025). https://doi.org/10.1186/s12890-025-03641-w
Numerous studies have indicated the correlations of immune traits and chronic respiratory diseases (CRDs). Whereas, causality is still implicative. Hence, our study was designed to investigate the causal relations utilizing bidirectional Mendelian randomization (MR) and to identify the immune traits of potential significance.
Using GWAS datasets, we performed Mendelian randomization (MR) analyses to examine 731 immune traits associated with three CRDs: asthma, bronchiectasis and chronic obstructive pulmonary disease (COPD). Six widely applied MR approaches, along with Bayesian weighted Mendelian randomization analysis, were utilized to assess causality. Through extensive sensitivity assessments, heterogeneity and pleiotropy have been examined. For integrity, leave-one-out analysis was implemented as the final step.
![]() |
Graphical Abstract |
ABSTRACT
Objective
To establish the prevalence of allergic rhinitis (AR), categorized by demographics and barriers to healthcare, and the prevalence of antihistamine and nasal steroid use in these subgroups.
Methods
We performed a retrospective, cross-sectional study utilizing the All of Us Database. Sociodemographic factors among AR patients were compared via Chi-Square analysis and multivariable logistic regression (MLR). Subgroups of AR patients with or without nasal steroid spray or oral antihistamine listed in the electronic health record (EHR) were compared via chi-square analysis and MLR.
Results
![]() |
Demographic description of all patients vs. allergic rhinitis patients (AR) in the All of Us database |
Kirolos N, Mtaweh H, Datta RR, et al. JAMA Netw Open. 2025;8(4):e254666. doi:10.1001/jamanetworkopen.2025.4666
Key Points
Question What are the current risk factors for severe respiratory syncytial virus (RSV) infection given the changing epidemiologic characteristics after the COVID-19 pandemic?
Findings In this cohort study that included 709 cases of RSV-associated acute respiratory tract infection, severe disease was more likely among children aged 2 years or older with pulmonary and neurologic, neuromuscular, or developmental conditions; children younger than 2 years with a history of prematurity; or children younger than 6 months.
Wang X, Zhou N, Zhi Y. J Asthma Allergy. 2025;18:539-544
https://doi.org/10.2147/JAA.S509939
![]() |
(A) and (B) Urticaria-like rash on legs and right arm |