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Fully-funded PhD: To develop methodology to measure Alzheimer’s disease biomarkers in the plasma of obstructive sleep apnoea patients

  • DeadlineDeadline: 27 May 2025
  • North West, All EnglandNorth West, All England

Description

Alzheimer’s disease (AD) is pathologically defined by the abnormal accumulation of extracellular proteins/peptides such as amyloid beta (Aβ) plaques and tau tangles in the brain. Recent methodological advances have enabled the development and validation of plasma biomarkers that are expected to simplify AD diagnosis. The quality and quantity of sleep, which are significantly disrupted in obstructive sleep apnoea (OSA) patients, have been associated with changes in AD biomarker levels in blood in cross-sectional studies. Furthermore, AD biomarkers have been described in the cerebrospinal fluid of sleep apnoea patients, suggesting that sleep apnoea is a potential risk factor for AD. 

Project aims and objectives

This project aims to measure levels of AD biomarkers in the blood of OSA patients to assess whether these patients are at risk of developing AD and whether treating OSA symptoms, including reversing sleep fragmentation, affects AD biomarker concentrations. 

To address this overall aim, the student will:

  • Employ computer programming methods to determine the occurrence of Alzheimer’s disease in obstructive sleep apnoea patients using previously collected clinical data.
  • Perform immunoassay technology to measure levels of AD biomarkers in the blood of sleep apnoea patients.

Entry Requirements

The qualifications, skills, knowledge and experience applicants should have for this project, in addition to our standard entry requirements

We are seeking a highly motivated and talented PhD candidate to undertake research exploring obstructive sleep apnoea as a modifiable risk factor for Alzheimer’s disease. The ideal candidate should meet the following criteria:

Essential qualifications

  • Applicants for this PhD must have a first-class or upper second-class undergraduate degree (or equivalent) in neuroscience, biochemistry, bioinformatics, biomedical sciences, or a closely related discipline.
  • Candidates with a master’s degree in a relevant subject are strongly encouraged to apply, especially those with research experience in neuroscience or clinical biochemistry.

Technical and research skills

  • Experience or demonstrated interest in biochemical techniques, particularly immunoassays (such as ELISA, Western blotting) for biomarker analysis.
  • Familiarity with data analysis and statistical methods relevant to biological sciences.
  • Basic knowledge or keen interest in bioinformatics, computational biology, or data science approaches.
  • Experience or willingness to learn programming languages (such as Python, R) for handling and analysing clinical data.

Desirable skills and experience

  • Previous research experience involving clinical or biomarker studies.
  • Familiarity with neuroscience, Alzheimer’s disease pathology, or sleep-related disorders.
  • Prior exposure to clinical environments or collaborations with healthcare professionals.
  • Excellent organisational, analytical, and communication skills.

Additional requirements

  • Ability to work independently and collaboratively within an interdisciplinary team comprising researchers and clinical practitioners.
  • Strong commitment to learning and professional development.
  • Fluency in written and spoken English, with good academic writing skills.

Fees

The student will be in receipt of a stipend payment; the Research Council minimum rate (set by UKRI) is £20,780 for 2025/26.

Home and overseas students can apply. Home fees are covered. Eligible overseas students will need to make up the difference in tuition fee funding. 

How To Apply

Please email Prof Sonia Correa-Muller (s.correa-muller@mmu.ac.uk) to discuss any questions about the project.

To apply you will need to complete the online application form for a Full-Time PhD in the Department of Life Sciences (or download the PGR application form) and submit your CV and a Cover Letter indicating how your expertise is a good fit for the project, how your experience makes you suitable for this position, and why you are interested to work in this area of research.

If applying online, you will need to upload your statement in the supporting documents section or email the application form and statement to PGRAdmissions@mmu.ac.uk

Closing date: 27 May 2025

Expected start date: October 2025

Please quote the reference: SciEng-SCM-2025-Alzheimer

Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. Please ensure that you take into account our Inclusive and Diverse Culture Strategy when preparing an application.

Who is eligible to apply?

Home and overseas students can apply. Home fees are covered. Eligible overseas students will need to make up the difference in tuition fee funding. 

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