Mechanistic modelling of allergen-induced airways disease in early life

Abstract Asthma affects approximately 300 million individuals worldwide and the onset predominantly arises in childhood. Children are exposed to multiple environmental irritants, such as viruses and allergens, that are common triggers for asthma onset, whilst their immune systems are developing in e...

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Main Authors: Hannah J. Pybus, Prakrati Dangarh, Man Yin Melanie Ng, Clare M. Lloyd, Sejal Saglani, Reiko J. Tanaka
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-83204-x
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author Hannah J. Pybus
Prakrati Dangarh
Man Yin Melanie Ng
Clare M. Lloyd
Sejal Saglani
Reiko J. Tanaka
author_facet Hannah J. Pybus
Prakrati Dangarh
Man Yin Melanie Ng
Clare M. Lloyd
Sejal Saglani
Reiko J. Tanaka
author_sort Hannah J. Pybus
collection DOAJ
description Abstract Asthma affects approximately 300 million individuals worldwide and the onset predominantly arises in childhood. Children are exposed to multiple environmental irritants, such as viruses and allergens, that are common triggers for asthma onset, whilst their immune systems are developing in early life. Understanding the impact of allergen exposures on the developing immune system and resulting alterations in lung function in early life will help prevent the onset and progression of allergic asthma in children. In this study, we developed an in silico model describing the pulmonary immune response to a common allergen, house dust mite, to investigate its downstream impact on the pathophysiology of asthma, including airway eosinophilic inflammation, remodelling, and lung function. We hypothesised that altered epithelial function following allergen exposure determines the onset of airway remodelling and abnormal lung function, which are irreversible with current asthma therapies. We calibrated the in silico model using age appropriate in vivo data from neonatal and adult mice. We validated the in silico model using in vivo data from mice on the effects of current treatment strategies. The in silico model recapitulates experimental observations and provides an interpretable in silico tool to assess airway pathology and the underlying immune responses upon allergen exposure. The in silico model simulations predict the extent of bronchial epithelial barrier damage observed when allergen sensitisation occurs and demonstrate that epithelial barrier damage and impaired immune maturation are critical determinants of reduced lung function and asthma development. The in silico model demonstrates that both epithelial barrier repair and immune maturation are potential targets for therapeutic intervention to achieve successful asthma prevention.
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spelling doaj-art-8bbb6bc8664c4ef598a17994855583d72025-01-05T12:15:59ZengNature PortfolioScientific Reports2045-23222025-01-0115111610.1038/s41598-024-83204-xMechanistic modelling of allergen-induced airways disease in early lifeHannah J. Pybus0Prakrati Dangarh1Man Yin Melanie Ng2Clare M. Lloyd3Sejal Saglani4Reiko J. Tanaka5Department of Bioengineering, Imperial College LondonDepartment of Bioengineering, Imperial College LondonDepartment of Bioengineering, Imperial College LondonNational Heart and Lung Institute, Imperial College LondonNational Heart and Lung Institute, Imperial College LondonDepartment of Bioengineering, Imperial College LondonAbstract Asthma affects approximately 300 million individuals worldwide and the onset predominantly arises in childhood. Children are exposed to multiple environmental irritants, such as viruses and allergens, that are common triggers for asthma onset, whilst their immune systems are developing in early life. Understanding the impact of allergen exposures on the developing immune system and resulting alterations in lung function in early life will help prevent the onset and progression of allergic asthma in children. In this study, we developed an in silico model describing the pulmonary immune response to a common allergen, house dust mite, to investigate its downstream impact on the pathophysiology of asthma, including airway eosinophilic inflammation, remodelling, and lung function. We hypothesised that altered epithelial function following allergen exposure determines the onset of airway remodelling and abnormal lung function, which are irreversible with current asthma therapies. We calibrated the in silico model using age appropriate in vivo data from neonatal and adult mice. We validated the in silico model using in vivo data from mice on the effects of current treatment strategies. The in silico model recapitulates experimental observations and provides an interpretable in silico tool to assess airway pathology and the underlying immune responses upon allergen exposure. The in silico model simulations predict the extent of bronchial epithelial barrier damage observed when allergen sensitisation occurs and demonstrate that epithelial barrier damage and impaired immune maturation are critical determinants of reduced lung function and asthma development. The in silico model demonstrates that both epithelial barrier repair and immune maturation are potential targets for therapeutic intervention to achieve successful asthma prevention.https://doi.org/10.1038/s41598-024-83204-xAsthmaPre-school wheezeAllergenIn silico modelsMechanistic modelling
spellingShingle Hannah J. Pybus
Prakrati Dangarh
Man Yin Melanie Ng
Clare M. Lloyd
Sejal Saglani
Reiko J. Tanaka
Mechanistic modelling of allergen-induced airways disease in early life
Scientific Reports
Asthma
Pre-school wheeze
Allergen
In silico models
Mechanistic modelling
title Mechanistic modelling of allergen-induced airways disease in early life
title_full Mechanistic modelling of allergen-induced airways disease in early life
title_fullStr Mechanistic modelling of allergen-induced airways disease in early life
title_full_unstemmed Mechanistic modelling of allergen-induced airways disease in early life
title_short Mechanistic modelling of allergen-induced airways disease in early life
title_sort mechanistic modelling of allergen induced airways disease in early life
topic Asthma
Pre-school wheeze
Allergen
In silico models
Mechanistic modelling
url https://doi.org/10.1038/s41598-024-83204-x
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