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Asthma-II: Pathophysiology and Classification

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: Pathogenesis and Management

Asthma: Pathogenesis and Management

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.

Asthma-I: Introduction

Asthma-I: Introduction

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...

Asthma I: Introduction

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-IV: Diagnostic and Management

Asthma-IV: Diagnostic and Management

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:

Asthma-III: Symptoms and Complications

Asthma-III: Symptoms and Complications

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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Related Experiment Video

Updated: Jul 12, 2026

Murine Model of Allergen Induced Asthma

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

Post-GWAS Variant-to-Function Challenges in Asthma Research.

Xiaoyuan Zhong¹, Isabella M Salamone¹, Marcelo A Nóbrega¹

¹Department of Human Genetics, University of Chicago, Chicago, IL, USA.

The Journal of Allergy and Clinical Immunology

|July 9, 2026

Summary

Genome-wide association studies (GWAS) have found many asthma risk loci, but how they work is unclear. This review covers tools and strategies to understand these genetic links and improve asthma prediction and treatment.

Keywords:

Asthma Causal variants Effector genes GWAS Multi-omics

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Last Updated: Jul 12, 2026

Murine Model of Allergen Induced Asthma

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Published on: May 14, 2012

Acupuncture in a Rat Model of Asthma

Acupuncture in a Rat Model of Asthma

Published on: August 25, 2020

Area of Science:

Genetics
Immunology
Computational Biology

Background:

Genome-wide association studies (GWAS) have identified nearly 200 independent genetic loci associated with asthma risk.
The functional mechanisms by which these loci influence asthma susceptibility remain largely unknown.
Bridging this knowledge gap is crucial for advancing asthma research and clinical applications.

Purpose of the Study:

To review current computational and experimental approaches for elucidating the function of asthma-associated genetic loci.
To discuss the translational applications of genetic and multi-omics data in asthma, including endotyping and risk prediction.
To identify limitations of existing methods and propose future research directions for post-GWAS asthma studies.

Main Methods:

Review of existing literature on post-genome-wide association study (GWAS) methodologies in asthma research.
Analysis of computational tools for variant and gene identification.
Examination of experimental techniques for functional characterization of genetic loci.
Synthesis of emerging multi-omics approaches for asthma endotyping and prediction.

Main Results:

A growing number of computational and experimental tools are available to identify causal variants and effector genes.
These tools facilitate the characterization of gene functions relevant to asthma pathogenesis.
Multi-omics data integration is emerging as a powerful strategy for defining molecular endotypes and predicting disease risk.

Conclusions:

Current approaches offer promising avenues for understanding the functional impact of GWAS findings in asthma.
Addressing the limitations of existing methods is essential for maximizing the translational potential of genetic discoveries.
Future research should focus on integrating diverse data types and refining methodologies to accelerate progress in asthma genetics and precision medicine.