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We have recently shown that skin secretions in particular sebum, has a critical diagnostic role in other diseases unrelated directly to the skin. Sebum is a lipid-rich, oily secretion produced from the sebaceous gland1. This biofluid is commonly associated with skin conditions such as acne, psoriasis and seborrhoea. Skin can act as a sink to many small molecules that are either endogenously produced or result from changing skin microbiota that interacts with wax, lipids and esters present in skin secretions. In Parkinson’s disease and tuberculosis, these small molecules often produce a distinct smell that can diagnose the disease. Even though the basic makeup of skin is known; due to exposure to external factors, not much is known about the skin metabolome. The skin metabolome consists of the metabolites produced endogenously from the secretory glands and the exposome. Excretory products of skin microbiota and carbon consumption from the lipid-rich sebum are also essential components of the skin metabolome. Exposure to environmental effects, diet and lifestyle could change skin microbiota. The skin pH, skin secretion, hydration and trans-epidermal water loss are vital in determining the fate of skin microbiota. Skin microbiota homeostasis could be a promising new target in the screening or risk assessment of many diseases. The skin metabolome remains uncharacterised partially due to its complexity and lack of understanding of unknown species. Characterisation of these unknown species using analytical approaches could lead to a better understanding of host skin and skin microbiota symbiosis in health and disease. Structural elucidation of metabolites using tandem mass spectrometry and NMR approaches can yield accurate identification of molecules from complex biofluids.
Eligibility
Applicants must have obtained or be about to obtain a First or Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in analytical chemistry or related subject areas.
Funding
At Manchester we offer a range of scholarships, studentships and awards at university, faculty and department level, to support both UK and overseas postgraduate researchers applying for competition and self-funded projects.
For more information, visit our funding page or search our funding database for specific scholarships, studentships and awards you may be eligible for.
Before you apply
We strongly recommend that you contact the supervisors for this project before you apply.
How to apply
Apply online through our website: https://uom.link/pgr-apply-fap
When applying, you’ll need to specify the full name of this project, the name of your supervisor, if you already having funding or if you wish to be considered for available funding through the university, details of your previous study, and names and contact details of two referees.
Your application will not be processed without all of the required documents submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered.
After you have applied you will be asked to upload the following supporting documents:
If you have any questions about making an application, please contact our admissions team by emailing [Email Address Removed].
EDI
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact.
We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
Research output data provided by the Research Excellence Framework (REF)
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