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Related Concept Videos

Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

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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-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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Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

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The nursing management of asthma is a comprehensive approach that relies heavily on the expertise and dedication of healthcare professionals. It involves thorough assessment, accurate diagnosis, strategic planning, effective implementation, and diligent evaluation. By meticulously following this step-by-step process, healthcare professionals play a crucial role in providing the best possible care and treatment for patients with asthma, enhancing their overall health and well-being.
First, in...
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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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Related Experiment Video

Updated: Jul 23, 2025

Murine Model of Allergen Induced Asthma
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Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

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Systems Biology in Asthma.

Nazanin Zounemat Kermani1,2, Ian M Adcock2, Ratko Djukanović3

  • 1Data Science Institute, Imperial College London, London, UK.

Advances in Experimental Medicine and Biology
|July 18, 2023
PubMed
Summary
This summary is machine-generated.

Systems biology integrates diverse data to understand severe asthma, revealing distinct immune pathways in patient subsets. This approach aids in personalized treatment strategies for complex respiratory diseases.

Keywords:
BreathomicsClusteringData integrationGenomicsHeterogeneityImagingMetabolomicsMetagenomicsNext generation sequencingProteomicsSevere asthma research programm (SARP)TranscriptomicsUnbiased Biomarkers Predictive of Respiratory Disease Outcomes (U-BIOPRED) consortium

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Advanced Imaging of Lung Homing Human Lymphocytes in an Experimental In Vivo Model of Allergic Inflammation Based on Light-sheet Microscopy
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Advanced Imaging of Lung Homing Human Lymphocytes in an Experimental In Vivo Model of Allergic Inflammation Based on Light-sheet Microscopy
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Area of Science:

  • Computational biology and systems medicine.
  • Integrative omics and clinical data analysis.
  • Pathophysiology of complex diseases.

Background:

  • Mathematical and computational analysis are revolutionizing the understanding of complex disease pathophysiology.
  • Systems biology integrates multi-omics (genomic, transcriptomic, proteomic, metabolomic, breathomic, metagenomic, imaging) and clinical data.
  • Severe asthma requires a deeper understanding of individual molecular pathways for effective treatment.

Purpose of the Study:

  • To describe data integration methods for combining diverse datasets in severe asthma research.
  • To present results from single and multi-dataset analyses (data fusion and combination).
  • To highlight findings from major consortia like SARP and U-BIOPRED.

Main Methods:

  • Application of mathematical and computational analysis for biological and physiological process modeling.
  • Integration of multi-omics data (genomic, transcriptomic, proteomic, metabolomic, breathomic, metagenomic, imaging) with deep clinical phenotyping.
  • Data fusion and data combination techniques applied to datasets from severe asthma research consortia.

Main Results:

  • Identification of distinct immune and inflammatory pathways in different severe asthma patient subsets.
  • Overlapping pathways observed in patients with distinct clinical features, potentially explaining treatment non-response.
  • Demonstration of improved predictions through collaborative systems medicine approaches.

Conclusions:

  • Systems biology provides a comprehensive understanding of severe asthma pathophysiology.
  • Personalized treatment regimes can be determined by integrating individual patient data.
  • Collaborative efforts in systems medicine are crucial for advancing severe asthma prediction and treatment.