AIMC Topic: Anti-Asthmatic Agents

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3,6'-Disinapoyl sucrose modulates GALE-mediated metabolic reprogramming to alleviate asthmatic airway inflammation.

International immunopharmacology Sep 3, 2025
BACKGROUND: Asthma is a heterogeneous disease characterized by chronic airway inflammation and metabolic dysregulation. Recent studies highlight the role of glycolysis and oxidative phosphorylation (OXPHOS) imbalance in asthma pathogenesis, yet the u...
Glycolysis Inflammation Metabolic Reprogramming Animals Lung Mice Anti-Asthmatic Agents Oxidative Phosphorylation UDPglucose 4-Epimerase Humans Disease Models, Animal Mice, Inbred BALB C Sucrose Female Asthma
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Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study.

Scientific reports Aug 19, 2025
Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based algorithms to calculate topological indices and m...
Drug Discovery Machine Learning Quantitative Structure-Activity Relationship Algorithms Anti-Asthmatic Agents Asthma Humans
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An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.

Journal of medical systems Apr 26, 2019
Approximately 300 million people are afflicted with asthma around the world, with the estimated death rate of 250,000 cases, indicating the significance of this disease. If not treated, it can turn into a serious public health problem. The best metho...
Environment Anti-Asthmatic Agents Bronchodilator Agents Severity of Illness Index Algorithms Genetic Predisposition to Disease Supervised Machine Learning Biomarkers Socioeconomic Factors Humans Iran Asthma Respiratory Function Tests
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Efficacy and safety of lebrikizumab in adult patients with mild-to-moderate asthma not receiving inhaled corticosteroids.

Respiratory medicine Dec 13, 2017
BACKGROUND: Asthma is a heterogeneous and complex disease in both its clinical course and response to treatment. IL-13 is central to Type 2 inflammation and contributes to many features of asthma. In a previous Phase 2 study, lebrikizumab, an anti-IL...
Middle Aged Acetates Glucocorticoids Adult Severity of Illness Index Humans Sulfides Injections, Subcutaneous Asthma Antibodies, Monoclonal Female Quinolines Treatment Failure Treatment Outcome Male Double-Blind Method Administration, Inhalation Cyclopropanes Forced Expiratory Volume Anti-Asthmatic Agents
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High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Gene Expression Regulation Proteomics Signal Transduction Immunity, Innate Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Interferon-gamma Bronchoalveolar Lavage Fluid Adrenal Cortex Hormones Interleukin-10 Macrophages Asthma Severity of Illness Index Gene Expression Profiling Case-Control Studies Humans Machine Learning Interleukin-7 Receptors, IgE
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Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

Annals of the American Thoracic Society Jan 1, 2018
RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to addressing this heterogeneity, such as clustering methods to find phenotypes and predict outcomes, have been investigated. However, clustering based o...
Humans Severity of Illness Index Machine Learning Child Algorithms Treatment Outcome Pediatric Obesity Female Eosinophils Anti-Asthmatic Agents Models, Biological Phenotype Asthma Bronchodilator Agents Precision Medicine Male
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