Aleyna Lumsden
Thesis Title: Using advanced informatics strategies to identify key disease associated metabolites and provide evidence of infection in ME/CFS patients
Franklin Supervisors: Dr Bela Paizs, Dr Marcus Gallagher-Jones
University: University of Oxford
University Supervisors: Professor Karl Morten
External Collaborators: Imperial College London
Aleyna’s research focuses on developing advanced analytical workflows to identify reliable biomarkers for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a complex and poorly understood disease. By integrating LC-IMS-MS² with predictive fragmentation modelling, experimental validation, and pathway mapping, her work enables confident identification of unknown metabolites in complex, low-abundance samples. This innovative approach aims to transform ME/CFS diagnosis and set new standards for biomarker discovery across human disease.
Aleyna recently completed an MBio (Integrated Master’s) degree in Biomedical Sciences at the University of Warwick. Her Master’s research investigated the genetic regulatory pathways underlying early heart development, with implications for understanding congenital heart defects and other inherited cardiac disorders. She has also explored the role of eukaryotic transposons and their potential links to disease, alongside a broad engagement with molecular, genetic, and clinical modules throughout her degree. Aleyna is driven by a strong commitment to translational research – bridging fundamental biology with clinical impact to improve healthcare outcomes for those most in need.
Structural Elucidation
Mass Spectrometry (MS) is an extremely sensitive analytical tool that provides accurate mass-related data for molecules ranging from small metabolites to protein complexes.
Subcellular Imaging
Next generation MS instrumentation will enable rapid molecular mapping of cells in tissue enabling elucidation of the chemistry behind biological mechanisms.