Alzheimer’s disease is the most common neurodegenerative disease and the most common form of dementia affecting more than 30 million people worldwide. Although an impressive worth of knowledge about the disease has been obtained during the last 30 years, we have yet to find effective treatments for this disease. At MoNeA we believe that deep phenotyping of Alzheimer’s brains is the best strategy to achieve a better understanding of the mechanisms of disease and the wide heterogeneity of clinical presentation observed in Alzheimer’s patients.

Our work is currently focused in familial Alzheimer’s disease and the Colombians families carrying Presenilin 1 mutations such as the PSEN1 E280A. However, all the knowledge acquired from these studies is to be contrasted and applied to the more comon sporadic variant of the disease. Recently we have been collaborating on the identification on the identification and characterization of extreme protection against familial Alzheimer’s disease.

Our approach includes deep phenotyping and translational studies using neuropathological, cellular and molecular techniques. All of that in the framework of high throughput data analysis and the application of machine learning analysis algorithms.