Integrative approach reveals promising candidates for Alzheimer's disease risk factors or targets for therapeutic intervention
Friday, 18 April 2025 ()
A new study provides solutions to the pressing need to identify factors that influence Alzheimer's disease (AD) risk or resistance while providing an avenue to explore potential biological markers and therapeutic targets. The researchers integrated computational and functional approaches that enabled them to identify not only specific genes whose alterations predicted increased AD risk in humans and behavioral impairments in AD fruit fly models but also showed that reversing the gene changes has a neuroprotective effect in living organisms.
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