1 / 14

Classifying seronegative MG: A population based study

Classifying seronegative MG: A population based study. A Carr 1,4 , MI Leite 2 , A Vincent 2 , C Cardwell 3 , P McCarron 3 , D O’Reilly 3 , J McConville 1,4 Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland.

donagh
Download Presentation

Classifying seronegative MG: A population based study

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Classifying seronegative MG:A population based study A Carr1,4, MI Leite2, A Vincent2, C Cardwell3, P McCarron3, D O’Reilly3, J McConville1,4 Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland. Neurosciences Group, John Radcliffe Hospital, University of Oxford, UK 3. Department of Medical Statistics and Epidemiology, Queens University, Belfast, Northern Ireland. 4. Department of Neurology, Ulster Hospital Dundonald, Belfast, Northern Ireland

  2. Aims • Describe the epidemiology of MG in Northern Ireland • Classify cases by serological subtype • Assess the usefulness of recently developed techniques

  3. Methods • Multiple sources of case ascertainment • Study period: 01/01/2000 – 31/12/2008 • Clinical confirmation and serological classification of individual cases • Characterisation by age, sex, symptomatology, diagnosis, treatment and co-morbidities

  4. Results • 717 possible cases • 287 excluded • 342 prevalent cases (31/12/2008) • Ascertainment= 98.2% (95%C.I.: 92.1, 99.6) • 212 incident during study period • 186 AChR MG • 26 SNMG

  5. Serological analysis • 23 SNMG • 12 AChR MG • 6 MuSK MG • 4 Healthy controls (HC)

  6. AChR+rapsyn-EGFP EGFP Serum+ anti-human IgG Serum+ anti-human IgG

  7. Cell-based immunofluorescent assay: MuSK Serum+ anti-human IgG MuSK-EGFP Merged Case Case Control

  8. Cell-based immunofluorescent assay: clustered AChR AChR+rapsyn-EGFP Serum+ anti-human IgG Merged Case Case Control

  9. Cell-based immunofluorescent assay

  10. Characteristics of serological subgroups No difference. ANOVA; p: 0.065 No difference. 2; p>0.5 No difference. ANOVA; p: 0.898 No difference. ANOVA; p: 0.393

  11. Incidence rate (cases per million person-years)

  12. Conclusions • Cell based assays improve serological classification of autoimmune MG • A proportion of cases remain seronegative

  13. Acknowledgements Prof Angela Vincent, Neurosciences group, Oxford University Dr Isabel Leite, Neurosciences group, Oxford University

  14. Neuromuscular junction • AChR ab in 80% • MuSK ab in 10% • SNMG 10% Motor neurone Muscle end plate Acetylcholine receptor MuSK Dok-7 Rapsyn Acetylcholine vesicle Pre-synaptic Ca2+ channel

More Related