Novel method to Predict Alzheimer's risk before onset of symptoms

Written By : Isra Zaman

Medically Reviewed By : Dr. Kamal Kant Kohli

Published On 2022-09-02 04:00 GMT | Update On 2022-09-02 04:00 GMT

Even before symptoms occur, researchers have created a new approach to detect people who have a higher genetic risk of getting Alzheimer's disease. This method could hasten the development of new treatments.

People with Alzheimer's disease experience gradual loss of memory and other cognitive functions. While some treatments can ease symptoms, it has been challenging to develop treatments to prevent or slow disease progression. Some clinical trials investigating potential treatments may have been unsuccessful because they involved patients whose disease was too advanced to be treated. Better methods to identify people at high risk of developing Alzheimer's could aid treatment research.

To demonstrate the potential of the new method, the researchers applied it to determine the risk of Alzheimer's for each of 636 blood donors and examined whether blood levels of any of 3,000 proteins were higher or lower than normal for those identified as being high-risk. The analysis surfaced 28 proteins that could be linked to Alzheimer's risk, including several that have never been studied in Alzheimer's research. Studying these proteins could uncover new directions for drug development.

Ref:

Paranjpe MD, Chaffin M, Zahid S, Ritchie S, Rotter JI, Rich SS, et al. (2022) Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer's disease. PLoS Genet 18(9): e1010294. https://doi.org/10.1371/journal.pgen.1010294

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Article Source : Plos Genetics

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Isra Zaman

Isra Zaman is a Life Science graduate from Daulat Ram College, Delhi University, and a postgraduate in Biotechnology from Amity University. She has a flair for writing, and her roles at Medicaldialogues include that of a Sr. content writer and a medical correspondent. Her news pieces cover recent discoveries and updates from the health and medicine sector. She can be reached at editorial@medicaldialogues.in.

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Novel method to Predict Alzheimer's risk before onset of symptoms

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