Biomarkers are found in blood, other body fluids or tissues. They can be a sign of existing disease or a warning that somebody will develop a disease in the future. This workstream uses innovative laboratory methods to identify new biomarkers. Identifying new biomarkers could help us improve how we diagnose pleural disease, a disease which affects the tissue on the outside of the lung and the inside of the chest.
We are exploring how useful some biomarkers are in guiding the type of treatment needed for various pleural conditions. For example, we are developing software to help doctors identify and manage build ups of fluid around a patient’s lungs (pleural effusions). We hope this will reduce the length of hospital stays for people with the condition.
We are expanding our collection of biological sample types and data fields. We are doing this by building on our existing database of biological samples, collected from more than 1,500 patients with pleural effusions. The database is linked to clinical data which we will use to identify and validate biomarkers. This will help us diagnose and predict outcomes for many pleural conditions.
We will do this by analysing metabolites (small molecules in cells, tissues and organisms) and DNA methylation (a chemical reaction in the body). We will also explore how useful a biomarker called suPAR is in guiding how patients with pleural infections and malignancies (tumours) are treated. This will improve our understanding of different pleural diseases.
Our researchers are also working with patients and the Translational data science theme to understand more about how pleural disease develops and how it affects different people.
Saliva biomarkers in chronic obstructive pulmonary disease exacerbation
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Lung development in early life and respiratory diagnosis and treatment
Themes Respiratory disease Translational data science
Workstream Exacerbation prediction and aerosol emissions
Improving diagnosis and outcome prediction in pleural mesothelioma
Theme Respiratory disease
Workstream Personalised care in pleural disease
Predicting complications in malignant pleural effusions - a pilot study
Theme Respiratory disease
Workstream Personalised care in pleural disease
Radiological assessment of pneumothorax
Theme Respiratory disease
Workstream Personalised care in pleural disease
Using circulating tumour DNA to diagnose pleural mesothelioma
Theme Respiratory disease
Workstream Personalised care in pleural disease
Investigating the link between asthma and mental health in children
Themes Mental health Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Investigating the link between asthma, brain inflammation and MRI changes
Themes Mental health Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Exploring impact of mepolizumab treatment for asthma on brain structures and wellbeing
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Exploring the clinical and health economic impact of the myCOPD app
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Sensing, Prediction, and Alerts in COPD Exacerbations (SPACE) Study III
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
AERATOR collaboration
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Sensing, Prediction and Alerts in COPD Exacerbations (SPACE) Study II
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Sensing, Prediction and Alerts in COPD Exacerbations (SPACE) Study I
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions
Looking at long-term pleural disease outcomes: The SPOTLight study
Theme Respiratory disease
Workstream Personalised care in pleural disease
BREATHE study
Theme Respiratory disease
Workstream Exacerbation prediction and aerosol emissions