98%
921
2 minutes
20
Asthma is one of the most prevalent chronic lung diseases that afflict genetically predisposed individuals. Certain cytokine gene polymorphisms have been associated with asthma. Tumor necrosis factor-alpha (TNF-α) is a potent inflammatory cytokine that can modulate nonspecific inflammation to influence asthma. This study aimed to define the relationship between the TNF gene polymorphism at position -308 and asthma susceptibility, as well as atopic and non-atopic asthma. Using polymerase chain reaction with sequence-specific primers, we investigated genotype frequencies and alleles of a polymorphic gene coding for TNF-α in 86 pediatric patients with asthma and 470 healthy controls of the same race. Seventy-four patients underwent a skin prick test. The homozygous AA variant (-308, rs1800629) was the most common genotype among patients, accounting for 63.3% of all cases. In contrast, homozygous GG (-308) was significantly less prevalent in the patient group compared to the control group. TNF A (-308) allele frequency was 85.5% among asthma patients and 16.6% among healthy controls. The genotype and allele frequencies of TNF (-308 A>G, rs1800629) did not differ between atopic and non-atopic asthma. In conclusion, TNF (-308) AA and AG genotypes are associated with asthma susceptibility in Iranian children, although there was no significant difference in polymorphism between atopic and non-atopic asthma and no difference in asthma severity groups.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.18502/ijaai.v22i4.13606 | DOI Listing |
Am J Respir Crit Care Med
September 2025
University of Padova, 1Department of Women's and Children's Health, University of Padova, Padova, Veneto, Italy.
Am J Respir Crit Care Med
September 2025
Emory University, Atlanta, Georgia, United States;
Background: Wildfires significantly affect air quality in the Western United States. Although prior research has linked wildfire smoke PM to respiratory health outcomes, these studies typically have limited geographic and temporal coverage, lacking evidence from multiple states over extended periods.
Methods: We obtained data on over 6 million emergency department (ED) visits for respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), upper respiratory infections (URI), and bronchitis, from five states in the Western US during 2007-2018.
J Bras Pneumol
September 2025
. Departamento de Pneumologia do Hospital Infante D. Pedro, Unidade Local de Saúde da Região de Aveiro, Aveiro, Portugal.
Objectives: This study explores the relationship between inhaler visual identification, naming, and adherence outcomes, and evaluates the potential of combining these factors into a screening tool for identifying poor adherence.
Methods: This observational, prospective study included adult patients with COPD, asthma, or asthma+COPD who had been on chronic inhalation therapy for at least the past year. Data were collected through patient interviews and medical records.
J Bras Pneumol
September 2025
. Programa de Pós-Graduação em Ciências Médicas, Universidade Federal de Santa Catarina, Florianópolis (SC) Brasil.
Objective: To describe the impact of severe asthma in a real-life cohort in Brazil, reporting on baseline clinical characteristics, access to treatment, and clinical remission under treatment with biologics.
Methods: Severe asthma patients > 6 years of age were recruited from 23 centers in Brazil. Data on clinical characteristics, lung function, biomarkers, prescribed therapies, and clinical remission under treatment were collected at the baseline visit.
J Bras Pneumol
September 2025
. Divisão de Pneumologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo (SP) Brasil.
Objective: To evaluate the quality of ChatGPT answers to asthma-related questions, as assessed from the perspectives of asthma specialists and laypersons.
Methods: Seven asthma-related questions were asked to ChatGPT (version 4) between May 3, 2024 and May 4, 2024. The questions were standardized with no memory of previous conversations to avoid bias.