Title of PI | Evaluation of a plasma protein panel as a compound biomarker for Alzheimer’s disease |
Title | Forname | Surname | Institution | Country |
Professor | Simon | Lovestone | King’s College London | UK |
Institution | King’s College London |
Street Address | Institute of Psychiatry, De Crespigny Park |
City | London |
Postcode | SE5 8AF |
- United Kingdom
Medical Research Council
824648.87
16-02-2009
36
- Alzheimer’s disease and other dementias
Using gel based proteomics we have identified a panel of potential plasma biomarkers for Alzheimer’s disease. These proteins have been replicated in moderately large subject populations of 200-500 subjects and subsequently the same proteins or closely related proteins have been identified in similar, independent studies, including those of our collaborators. These proteins together show promise as a compound marker for Alzheimer’s disease – for example a sub-set of just five of the proteins predict brain volume, a marker of disease, in 80% of subjects. Having replicated, or partially validated, this set of proteins we now need to develop a stable and fully quantitative and sensitive assay and to test this on very large numbers of subjects, including population based cohorts. We plan to develop dual immunocapture and mass spectrometry based multiplexed assays and in a staged design determine the characteristics of the resulting compound assay as a marker of diagnosis, prediction and progression. We have, through this collaborative group, assembled a very large set of well characterised subjects for such studies including the main US and European AD Biomarker collections and population based sample sets including the MRC CFAS study. The study led by the MRC Centre for Neurodegeneration brings together expertise in Alzheimer’s disease, in assay design and development, in population based analyses and in statistics. The set of markers we have developed to date are, to our knowledge, the best characterised set developed through proteomics and are ready for further development and translation to clinical utility.
- Clinical research