Hamel Patel, Angela K.Hodges, Charles Curtis, Sang Hyuck Lee, Claire Troakes, Richard J.B. Dobson, Stephen J.Newhouse
Brain, Behavior, and Immunity (2019) 80: 644-656
• Asymptomatic AD subjects show increased transcriptomic activity in frontal cortex.
• Disruption in brain energy pathway detected in Asymptomatic AD brains.
• Overactivation of “glutamate-glutamine cycle” detected in Asymptomatic AD and AD.
Individuals with intact cognition and neuropathology consistent with Alzheimer’s disease (AD) are referred to as asymptomatic AD (AsymAD). These individuals are highly likely to develop AD, yet transcriptomic changes in the brain which might reveal mechanisms for their AD vulnerability are currently unknown. Entorhinal cortex, frontal cortex, temporal cortex and cerebellum tissue from 27 control, 33 AsymAD and 52 AD human brains were microarray expression profiled. Differential expression analysis identified a significant increase of transcriptomic activity in the frontal cortex of AsymAD subjects, suggesting fundamental changes in AD may initially begin within the frontal cortex region prior to AD diagnosis. Co-expression analysis identified an overactivation of the brain “glutamate-glutamine cycle”, and disturbances in the brain energy pathways in both AsymAD and AD subjects, while the connectivity of key hub genes in this network indicates a shift from an already increased cell proliferation in AsymAD subjects to stress response and removal of amyloidogenic proteins in AD subjects. This study provides new insight into the earliest biological changes occurring in the brain prior to the manifestation of clinical AD symptoms and provides new potential therapeutic targets for early disease intervention.
Health Data Research UK (HDR UK) London
Director Professor Harry Hemingway, Professor of Clinical Epidemiology, University College London Associate Directors Professor Carol Dezateux, Professor of Clinical Epidemiology and Health...
Health Data Research UK researchers develop innovative tools and technologies needed to unlock knowledge from complex and diverse health data, to address some of the biggest health challenges that...
Professor of Biostats and Health Informatics, King's College London and Institute of Health Informatics at University College London (UCL)
Richard Dobson is Professor of Biomedical and Health Informatics at the Institute of Health Informatics, UCL, as well as Professor of Medical Informatics at King’s College London and lead for...