Publications by authors named "A Kanehiro"
Background: The therapeutic effectiveness of dupilumab for severe asthma in real-world settings is yet to be prospectively investigated across multiple institutions, and uncertainties persist regarding predictive factors for its effectiveness. We aimed to assess the effectiveness of dupilumab and identify predictors of its effectiveness in real-world settings using two type-2 biomarkers: FeNO concentration and blood eosinophil count.
Methods: This prospective multicenter study included 103 patients with severe asthma.
Article Synopsis
- The study examined predictive factors for asthma exacerbation in severe asthma patients enrolled in the Okayama Severe Asthma Research Program over a one-year period.
- A total of 85 patients, mostly older adults, were analyzed, with many requiring advanced treatments according to GINA guidelines and over half treated with biologics.
- Key findings indicated that past exacerbation, low asthma control test scores, low lung function measures, and high IL-10 levels were significant predictors of future asthma exacerbation events.
A 74-year-old Japanese woman presented with a 45-year history of refractory asthma. She had been treated with inhaled corticosteroids, a long-acting β2-agonist, and a long-acting muscarinic antagonist for 6 months. She also had a repeated viral infection.
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- * Researchers analyzed RNA-seq data from 465 blood samples, uncovering 1169 expression quantitative trait loci (eQTLs) and 1549 splice QTLs (sQTLs) linked to COVID-19 severity, including immune-related expressions.
- * The study highlights the impact of disease severity on gene expression, identifying specific eQTLs that interact with COVID-19 phenotypes, and provides an extensive resource for understanding gene regulation in response to the virus.