Related Experiment Video

Updated: Apr 20, 2026

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels
05:31

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels

Published on: August 7, 2017

11.2K

Biomarkers to predict asthma in wheezing preschool children

M A G E Bannier1, K D G van de Kant1, Q Jöbsis1

  • 1Department of Paediatric Respiratory Medicine, School for Public Health and Primary Care (CAPHRI), Maastricht University Medical Centre, Maastricht, The Netherlands.

Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology
|November 21, 2014
PubMed

Insights

Predicting asthma in wheezing children is challenging. Advanced

Area of Science:

  • Pediatric Pulmonology
  • Biomarker Discovery
  • Genomics and Omics

Background:

  • Wheezing is common in preschool children, but predicting asthma is difficult with current clinical tools.
  • Conventional methods lack reliability for early asthma diagnosis in young children.
  • The need for improved diagnostic strategies is critical for timely intervention.

Purpose of the Study:

  • To review the potential of predictive biomarkers for early asthma diagnosis in wheezing preschool children.
  • To explore the role of 'omics' approaches in identifying novel asthma indicators.
  • To assess the feasibility of non-invasive methods for asthma prediction.

Main Methods:

  • Comprehensive review of studies on predictive biomarkers in various sample types.
  • Analysis of 'omics' data including genomics, proteomics, metabolomics, and 'breath-omics'.
  • Evaluation of non-invasive techniques like lung function testing and exhaled breath analysis.

Main Results:

  • Gene expression and exhaled breath profiles show promise for early asthma prediction.
  • 'Omics' approaches allow simultaneous study of hundreds of potential biomarkers.
  • Non-invasive methods are evolving but face implementation challenges.

Conclusions:

  • A holistic approach combining clinical data, blood tests, lung function, and breath analysis is likely needed for accurate asthma prediction.
  • Further development of non-invasive predictive biomarkers is crucial.
  • Improved early diagnosis will aid clinical decision-making and treatment for preschool children with asthma.

More Related Videos

Murine Model of Allergen Induced Asthma08:05

Murine Model of Allergen Induced Asthma

Published on: May 14, 2012

41.9K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.3K

Related Concept Videos

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...
16
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,...
20
Asthma-IV: Diagnostic and Management01:30

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:
3.4K
Asthma-I: Introduction01:29

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...
3.8K
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:
5.0K
Asthma-III: Symptoms and Complications01:24

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
3.7K