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Related Concept Videos

Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

5.0K
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:
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Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

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Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
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Asthma-I: Introduction01:29

Asthma-I: Introduction

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Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
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Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

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Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
Classification of Asthma
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Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
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Antiasthma Drugs: Leukotriene Modifiers01:19

Antiasthma Drugs: Leukotriene Modifiers

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Leukotriene modifiers, or cysteinyl leukotriene receptor antagonists, are medications used to manage chronic asthma. These agents target specific inflammatory mediators produced during arachidonic acid metabolism, an essential process in generating inflammation in the body.
Leukotriene modifiers work through two distinct mechanisms:
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Related Experiment Video

Updated: Apr 14, 2026

Murine Model of Allergen Induced Asthma
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Asthma endotypes and theratypes.

Ioana Agache1, Shengjie Li2, Yang Zheng2

  • 1Transylvania University of Brasov, Faculty of Medicine, Brasov 500051, Romania.

Chinese Medical Journal Pulmonary and Critical Care Medicine
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

Asthma is a complex network of inflammatory pathways, not a single disease. New classifications and machine learning integration offer precise, stratified asthma management strategies.

Keywords:
AsthmaBiomarkersEndotypeMachine learningPrecision immunologyTheratype

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Area of Science:

  • Immunology
  • Pulmonology
  • Biomarker Research

Background:

  • The traditional view of asthma as a single entity is outdated.
  • Asthma involves complex, interrelated inflammatory and tissue-driven pathways.
  • Current asthma management relies on stratified approaches using point-of-care biomarkers.

Purpose of the Study:

  • To discuss asthma phenotypes, endotypes, and theratypes in the context of current stratified management.
  • To highlight the limitations of current classification criteria due to overlaps.
  • To present the advantages of integrating precision immunology, imaging, and digital biomarkers with machine learning for unbiased asthma classification.

Main Methods:

  • Review of current asthma classification and management strategies.
  • Description of the new European Academy of Allergy and Clinical Immunology (EAACI) nomenclature for hypersensitivity reactions.
  • Exploration of machine learning for integrating multi-modal data (precision immunology, imaging, digital biomarkers).

Main Results:

  • Current classification criteria for asthma phenotypes, endotypes, and theratypes show significant overlaps.
  • Machine learning offers an unbiased approach to combine diverse data types for improved classification.
  • The new EAACI nomenclature provides a basis for stratified management, focusing on specific mechanisms like tissue-driven (Type V), metabolic/microbiome/epigenetic/neurogenic (Type VI), and direct cellular activation (Type VII).

Conclusions:

  • Asthma management requires a shift towards understanding its complex biological network.
  • Integrating advanced technologies like machine learning and digital biomarkers is crucial for precise asthma diagnosis and treatment.
  • The proposed classification framework, including novel types of asthma, facilitates more accurate and personalized therapeutic strategies.