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Asthma-I: Introduction01:29

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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 Detection Research Based on Voice Signal Processing and Machine Learning
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What did we learn from multiple omics studies in asthma?

Olga Ivanova1, Levi B Richards1, Susanne J Vijverberg1

  • 1Department of Respiratory Medicine, Amsterdam University Medical Centres (AUMC), University of Amsterdam, Amsterdam, the Netherlands.

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Summary

Omics technologies have advanced significantly, offering insights into complex asthma molecular processes and patient clusters. Further improvements in omics and understanding asthma subphenotypes will aid future asthma management.

Keywords:
asthmabiomarkersomicspersonalized medicinesystems biology

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Area of Science:

  • Genomics and Molecular Biology
  • Personalized Medicine
  • Respiratory Research

Background:

  • The Human Genome Project's completion over a decade ago paved the way for advanced omics technologies.
  • Omics assays have transitioned from expensive to routine, yet they are not a universal solution for human health challenges.
  • While omics have yielded results in some research areas, asthma research has revealed intricate molecular complexity.

Purpose of the Study:

  • To review the impact and challenges of omics technologies in asthma research.
  • To explore how omics have contributed to understanding asthma's molecular underpinnings and heterogeneity.
  • To discuss the future role of omics in asthma management strategies.

Main Methods:

  • Review of omics technologies and their application in asthma research.
  • Analysis of challenges in sample collection, data analysis, and interpretation of omics data in asthma.
  • Synthesis of current insights into asthma phenotypic clusters, biomarkers, and pathways derived from omics studies.

Main Results:

  • Omics technologies have identified complex molecular processes and potential patient clusters in asthma.
  • Challenges in omics data interpretation are often intertwined with inherent asthma heterogeneity.
  • Applied omics have provided valuable insights into potential asthma biomarkers and involved pathways.

Conclusions:

  • Despite challenges, omics technologies offer significant insights into asthma's molecular complexity.
  • Rapid advancements in omics, coupled with a deeper understanding of asthma subphenotypes, are crucial for future asthma management.
  • Continued development and application of omics will likely refine asthma diagnosis and treatment strategies.