Identified a Brain Circuit That Could Indicate the Risk of Developing Alzheimer's in Healthy People

Typography

Late-onset Alzheimer's disease (LOAD), the one that appears after age 65, is the most common form of this neurodegenerative disease and accounts for more than 90% of cases. 

Late-onset Alzheimer's disease (LOAD), the one that appears after age 65, is the most common form of this neurodegenerative disease and accounts for more than 90% of cases. The first brain changes associated with the disease may appear years before the first symptoms, but the lack of clear risk markers complicates the application of the appropriate prevention strategies for those that are more vulnerable.

Now a study, published in the Journal of Psychiatric Research, has provided the first evidence that a poor neuronal connection between the brainstem and cerebellum may be predictive of the risk of developing Alzheimer's. The article has the participation of researchers from the Bellvitge Biomedical Research Institute (IDIBELL) and the CIBER of Mental Health (CIBERSAM), Barcelona University and Bellvitge University Hospital, in collaboration with researchers from the FLENI center of Buenos Aires (Argentina) and the CIBER of Neurodegenerative Diseases (CIBERNED).

Although the hereditary component in LOAD is much lower than the one in the early-onset, the risk of suffering LOAD, slightly increases having a familiar history. Therefore, the study focuses on a group of descendants of patients with LOAD to try to find early risk markers to develop the disease. The individuals, in good health and with an average age of 50 years, showed a worse performance in memory tests, although within the normal range, compared with volunteers without a family history of Alzheimer's.

Read more at Bellvitge Biomedical Research Institute (IDIBELL)

Image: From left to right: Carles Soriano-Mas (principal researcher of the study), Inés del Cerro (first author of the article) and José Manuel Menchón (Head of the research group). (Credit: Bellvitge Biomedical Research Institute (IDIBELL))