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Project summary:
Long COVID (LC) is a new condition that affects more than 2 million people in the UK and more than 40 million worldwide. LC-chronic pain syndrome, which includes new-onset muscle pain, joint pain or nerve pain persisting for more than 3 months since the COVID-19 illness, affects more than one-fifth of people with LC. The burden of this new pain syndrome will add to the already existing global challenge of chronic pain. There is an urgent need to study the underlying mechanisms of LC-chronic pain to identify targetable biomarkers of this new pain syndrome. The objectives of this PhD project are to a) understand the patient risk factors associated with LC-chronic pain, and b) understand the underlying mechanisms of LC-chronic pain and identify targetable biomarkers for informing treatments. Study 1 comprises a longitudinal study (n=2000) using questionnaires to assess the nature of pain, functioning, demographic variables and quality of life regression-based approaches (linear mixed models) and machine learning (random forests) to understand the natural progression of LC-chronic pain. Study 2 will be a nested longitudinal case-control study (n=100) to do in-depth analysis of underlying physiological mechanisms at two point points (baseline and 12 months) to understand role of a) CD4 and CD8 cells, CRP, IL-1/6/17, IL-1b, TNF-a, and IFN-d using blood sampling; b) Central amplification using Quantitative Sensory Testing (QST) to assess peripheral and central sensitization and Electroencephalography (EEG) to assess spectral power of different waveforms and event related potentials (ERPs) in response to electrical stimulation; c) autonomic nervous system functioning using Autonomic Profile (AP), Heart Rate Variability (HRV) and Hypothalamic Pituitary Axis (HPA) profile.
Novelty:
Analysis will reveal biomarkers of LC-chronic pain that can be targeted for timely management of this new and evolving chronic pain condition. Predictive machine learning pain models to identify individuals “at risk” will be developed that will inform preventive management strategies.
PhD training will involve:
The PhD student will significantly benefit from expert training from eminent scientists and clinicians on combining several physiological techniques and clinical skills and using advanced programming skills for design and analysis. The project builds capacity in precision medicine and diagnostic analytics in an emerging global health condition. The work enables mobility across disciplines and sectors, and development of advanced analytical and informatics skills in medical research. The Human Pain Research Group (Leeds-Liverpool-Manchester) has an established reputation of high impact research in chronic pain research and will further its claim to undertaking cutting edge translational pain research and providing a highly supportive, stimulating, and inspiring environment for future researchers.
Dr Manoj Sivan: https://medicinehealth.leeds.ac.uk/medicine/staff/3148/dr-manoj-sivan-md-frcp-edin
Dr Christopher Brown: https://www.liverpool.ac.uk/population-health/staff/chris-brown/
Dr Alex Casson: https://www.research.manchester.ac.uk/portal/alex.casson.html
iCASE partner: http://www.elaros.com/
Benefits of being in the DiMeN DTP:
This project is part of the Discovery Medicine North Doctoral Training Partnership (DiMeN DTP), a diverse community of PhD students across the North of England researching the major health problems facing the world today. Our partner institutions (Universities of Leeds, Liverpool, Newcastle, York and Sheffield) are internationally recognised as centres of research excellence and can offer you access to state-of the-art facilities to deliver high impact research.
We are very proud of our student-centred ethos and committed to supporting you throughout your PhD. As part of the DTP, we offer bespoke training in key skills sought after in early career researchers, as well as opportunities to broaden your career horizons in a range of non-academic sectors.
Being funded by the MRC means you can access additional funding for research placements, international training opportunities or internships in science policy, science communication and beyond. See how our current DiMeN students have benefited from this funding here: http://www.dimen.org.uk/overview/student-profiles/flexible-supplement-awards
Further information on the programme and how to apply can be found on our website:
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