Lung Disease Model
Lung Disease Model - Related Videos
05:47
Generation of Human 3D Lung Tissue Cultures (3D-LTCs) for Disease Modeling
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Cited by 46 •
2019
Here, we present a protocol for the preparation of agarose-filled human precision-cut lung slices from resected patient tissue that are suitable for generating 3D lung tissue cultures to model human lung diseases in biological and biomedical studies.
08:59
Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program
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Cited by 27 •
2015
Ex-Vivo Lung Perfusion (EVLP) has allowed lung transplantation in humans to become more readily available by enabling the ability to assess organs and expand the donor pool. Here, we describe the development of a rat EVLP program and refinements that allow for a reproducible model for future expansion.
05:49
Establishment of an Ex Vivo Lung Perfusion Rat Model for Translational Insights in Lung Transplantation
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Cited by 5 •
2023
Here, we describe the necessary steps for establishing a rat EVLP model and show the inflammatory profile associated with the perfused lungs. The aim is to propagate knowledge and experiences about the rat EVLP model, enabling the integral understanding of the biological responses associated with that revolutionary technique.
08:58
Development of a Neonatal Piglet Acute Lung Injury Model Recreating the Early Environment of Preterm Infant Lungs
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2025
This protocol describes the development of a neonatal piglet model of acute lung injury that models early pathogenic events occurring in the preterm lung, including sub-adequate surfactant quantity, hyperoxia, high-pressure ventilation, and inflammation, to facilitate understanding of molecular triggers of bronchopulmonary dysplasia and enhance therapeutic translation.
09:22
Mouse Pneumonectomy Model of Compensatory Lung Growth
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Cited by 14 •
2014
Mouse pneumonectomy is a commonly employed model of compensatory lung growth. This procedure can be used in conjunction with lineage tracing or transgenic mouse models to elucidate underlying mechanisms.
FAQs
Selection should begin with the human pathology being investigated, such as inflammation, tissue injury, altered repair, or impaired gas-exchange function. Researchers then choose a system that reproduces the most relevant feature or combination of features. This alignment helps determine whether observed responses meaningfully reflect disease mechanisms and improves the translational value of experimental findings.
A model can be configured to reveal how defined biological or environmental conditions affect respiratory tissues. Measurable consequences may include inflammation, tissue injury, abnormal repair, or impaired gas-exchange function. Examining these changes helps researchers connect an initiating condition with disease-related outcomes and identify which processes could become useful therapeutic or diagnostic targets.
These systems provide different levels of biological organization for studying respiratory disease. Cultured cells focus on selected cellular responses, whereas engineered tissues and organoids provide more tissue-like experimental settings. Animal models extend investigation to a whole organism. Comparing results across these formats can clarify which observations are consistent and how model context influences interpretation.
A practical workflow starts by specifying the disease feature or mechanism to reproduce, followed by choosing cultured cells, engineered tissue, an organoid, or an animal system that fits the question. Researchers then apply the relevant biological or environmental condition and assess resulting changes, such as inflammation, injury, repair, or gas-exchange impairment.
Available experimental systems include cultured airway or lung cells, engineered tissues, organoids, and animals. The appropriate choice depends on whether the study requires a selected cellular response, a more tissue-like setting, or broader organism-level context. Using several model types can support comparison of findings and expose differences that affect conclusions about respiratory disease.
In medicine, these models support studies of disease progression, biomarker identification, drug screening, and safety testing. Researchers can examine whether defined disease-related changes emerge, track candidate biomarkers, and evaluate treatment responses within a controlled experimental system. Results are most informative when the selected model reflects the human pathology relevant to the intended application.