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Dedicated to improving the understanding, diagnosis, and treatment of myasthenia gravis, Lambert-Eaton myasthenic disorder, and congenital myasthenic syndromes.

Our group is led by Associate Professor Dr Maria Isabel Leite, Consultant Neurologist at Oxford University Hospitals NHS Foundation Trust, together with NIHR Academic Clinical Lecturer and Consultant Neurologist Dr Bo Sun, and Consultant Neurologist Dr Mohammad Ashraghi  

Our team brings together expertise in clinical neurology, immunology, and data science, working across the University of Oxford, the NHS, and with international collaborators, we aim to translate discovery into better outcomes for people living with myasthenia.  

Research aims

  • Investigate the epidemiology, diagnostic pathway, management, and outcomes of myasthenia using real-world data from the UK Myasthenia Database and clinical audits. 

  • Define immunopathogenic mechanisms of myasthenia by working in collaboration with the Autoimmune Neurology Group to refine antibody assays and characterise emerging biomarkers 

  • Explore links with cancer, including thymic malignancies and other paraneoplastic syndromes, through integrated laboratory and computational research. 

Selected publications

Research Projects

  • Dr. Sofija Paneva is leading a project on the evolution of the antibody-mediated immune response in anti-acetylcholine receptor antibody myasthenia gravis 

  • Dr. Ezgi Bakircioglu Duman is pursuing a DPhil on maternal acetylcholine receptor antibody-associated neonatal disorders (frequency and mechanisms). 

  • Isobel Cabraal is conducting an audit of the clinical utility of LRP4 antibody testing for myasthenia gravis diagnosis. 

DATABASES

The Myasthenia Gravis Research Group host national clinical and biosample databases that support translational myasthenia research: 

  • The UK Myasthenia Database (UKMyDb) is the UK’s first national, web-based patient registry for myasthenic disorders, including myasthenia gravis, Lambert-Eaton myasthenic syndrome, and congenital myasthenic syndromes. The database brings together real-time clinical data from centres across the UK to improve understanding of disease patterns and epidemiology, treatment outcomes, and unmet needs. 

  • Myarchive is a curated repository of over 6,000 biosamples (blood, PBMCs, thymic tissue) from more than 2,000 individuals with myasthenia gravis and related conditions, linked with detailed clinical metadata. Researchers may apply for access, and samples can be shared following review and approval, supporting high-quality studies to advance treatment of myasthenia gravis.