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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

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Biomarkers in bronchiectasis.

Emma Johnson¹, Merete B Long¹, James D Chalmers²

¹Division of Molecular and Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, UK.

European Respiratory Review : an Official Journal of the European Respiratory Society

|July 3, 2024

Summary

This summary is machine-generated.

Bronchiectasis treatment needs precision medicine. New biomarkers and omics technologies help identify disease subtypes and guide personalized therapies for better patient outcomes.

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Bronchoalveolar Lavage of Murine Lungs to Analyze Inflammatory Cell Infiltration

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Area of Science:

Pulmonology
Biomarker Research
Precision Medicine

Background:

Bronchiectasis is a complex lung disease with varied causes and symptoms.
Current treatment emphasizes precision medicine, targeting specific 'treatable traits'.
Identifying distinct disease subtypes (endotypes) is crucial for effective management.

Purpose of the Study:

To review recent advancements in biomarkers for bronchiectasis.
To explore the role of omics technologies in understanding bronchiectasis heterogeneity.
To discuss how biomarkers can guide personalized treatment strategies.

Main Methods:

Review of current literature on bronchiectasis biomarkers.
Analysis of emerging omics technologies (genomics, proteomics, metabolomics).
Correlation of biomarkers with disease features, prognosis, and treatment response.

Main Results:

Bronchiectasis exhibits heterogeneous inflammatory profiles, microbiota, and mucus/epithelial biology.
Various biomarkers are becoming available to measure key disease components like inflammation and clearance.
Omics data reveal distinct patient endotypes within bronchiectasis.

Conclusions:

Biomarkers and omics technologies are vital for precision medicine in bronchiectasis.
Identifying specific biomarkers can lead to tailored treatment approaches.
Further research is needed to translate these findings into clinical practice.