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Related Concept Videos

Chronic Obstructive Pulmonary Disease II: Emphysema01:23

Chronic Obstructive Pulmonary Disease II: Emphysema

Emphysema, a major phenotype of chronic obstructive pulmonary disease (COPD), is characterized by irreversible destruction of alveolar walls and permanent enlargement of distal airspaces. Unlike chronic bronchitis, which primarily affects the airways, emphysema predominantly involves the lung parenchyma, where structural damage leads to airflow limitation.PathophysiologyIt most commonly results from prolonged exposure to cigarette smoke and other toxic gases, particularly cigarette smoke.
Chronic Obstructive Pulmonary Disease III: Chronic Bronchitis Features01:24

Chronic Obstructive Pulmonary Disease III: Chronic Bronchitis Features

Chronic bronchitis is a key phenotype of chronic obstructive pulmonary disease (COPD), characterized by airway-centered inflammation and mucus overproduction. It develops from long-term exposure to harmful particles or gases, most commonly cigarette smoke, which triggers a persistent inflammatory response.Cellular and Structural ChangesInflammation initially affects the large bronchi and later the smaller airways, with infiltration by immune cells, including neutrophils, macrophages, and...
Chronic Obstructive Pulmonary Disease-II: Pathophysiology01:20

Chronic Obstructive Pulmonary Disease-II: Pathophysiology

Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma I: Introduction01:28

Asthma I: Introduction

Asthma is a chronic inflammatory disorder of the airways characterized by variable airflow obstruction and heightened bronchial responsiveness to a wide range of triggers. The underlying inflammation leads to airway swelling, mucus hypersecretion, and smooth muscle constriction, all of which narrow the airway lumen and impede airflow. Clinically, asthma presents with recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing, symptoms that typically vary in intensity and...
Asthma III: Clinical Manifestations01:13

Asthma III: Clinical Manifestations

Asthma presents with a characteristic pattern of episodic respiratory symptoms that reflect underlying airway inflammation, bronchoconstriction, and mucus hypersecretion. Although severity varies among individuals, certain clinical manifestations are considered hallmarks of the disorder and often guide diagnosis and assessment.Respiratory SymptomsA persistent cough is one of the most common early features of asthma. It is frequently dry and tends to worsen at night or in the early morning,...

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Related Experiment Video

Updated: May 28, 2026

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice
10:37

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Published on: January 16, 2015

Emergent structure-function relations in emphysema and asthma.

Tilo Winkler1, Béla Suki

  • 1Massachusetts General Hospital and Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, Massachusetts, USA. twinkler@vqpet.mgh.harvard.edu

Critical Reviews in Biomedical Engineering
|October 21, 2011
PubMed
Summary
This summary is machine-generated.

Network models reveal nonlinear dynamics in respiratory diseases like emphysema and asthma. These models highlight tipping points and positive feedback loops driving disease progression, impacting pulmonary medicine and treatment evaluation.

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Last Updated: May 28, 2026

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice
10:37

Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice

Published on: January 16, 2015

Determining Ciliary Function and Membrane Impermeability of the Pseudostratified Lung Airway Epithelium
07:40

Determining Ciliary Function and Membrane Impermeability of the Pseudostratified Lung Airway Epithelium

Published on: February 21, 2025

Area of Science:

  • Pulmonary Medicine
  • Computational Biology
  • Systems Biology

Background:

  • Respiratory system function relies on complex structure-function relationships.
  • Self-organized patterns and nonlinear interactions characterize respiratory diseases.
  • Existing models often lack the complexity to capture these emergent behaviors.

Purpose of the Study:

  • To review network models of respiratory diseases exhibiting self-organized behavior.
  • To explore the nonlinear dynamics and tipping points in emphysema and asthma.
  • To discuss the implications for pulmonary medicine and therapeutic strategies.

Main Methods:

  • Review of a network model for emphysema progression driven by mechanical forces.
  • Analysis of an integrative model for asthma-related bronchoconstriction.
  • Focus on nonlinear interactions and positive feedback mechanisms within respiratory systems.

Main Results:

  • Both emphysema and asthma models demonstrate nonlinear transitions from healthy to diseased states.
  • A critical tipping point exists, beyond which positive feedback accelerates pathology.
  • Emphysema progression is irreversible, while asthma bronchoconstriction can be reversible.

Conclusions:

  • Network behavior across multiple scales is crucial for understanding respiratory diseases.
  • Multiscale, computational network models are essential for evaluating treatment efficacy.
  • Understanding nonlinear dynamics and tipping points can inform pulmonary medicine strategies.