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Biology subjects

Cherbuin, N.

Publications and source records attributed to Cherbuin, N..

2 recordsLinked to original sources

Alzheimer’s environmental and genetic risk scores are differentially associated with ‘g’ and δ

IntroductionWe investigated the association of the Australian National University Alzheimers Disease Risk Index (ANU-ADRI) and an AD genetic risk score (GRS) with cognitive performance.\n\nMethodsThe ANU-ADRI (composed of 11 risk factors for AD) and GRS (composed of 25 AD risk loci) were computed in 1,061 community-dwelling older adults. Participants were assessed on 11 cognitive tests and activities of daily living. Structural equation modelling was used to evaluate the association of the ANU-ADRI and GRS with: 1) general cognitive ability (g) 2) dementia related variance in cognitive performance ({delta}) and 3) verbal ability, episodic memory, executive function and processing speed.\n\nResultsA worse ANU-ADRI score was associated with poorer performance in g, {delta}, and each cognitive domain. A worse GRS was associated with poorer performance in {delta} and episodic memory.\n\nDiscussionThe ANU-ADRI was broadly associated with worse cognitive performance, validating its further use in early dementia risk assessment.\n\nHighlightsO_LIAn environmental/lifestyle dementia risk index is broadly associated with cognitive performance\nC_LIO_LIAn Alzheimers genetic risk score is associated with dementia severity and episodic memory\nC_LIO_LIThe environmental risk index is more strongly associated with dementia severity than genetic risk\nC_LI\n\nResearch in ContextO_ST_ABSSystematic ReviewC_ST_ABSThe authors reviewed the literature using online databases (e.g. PubMed). Previous research has highlighted the need for dementia risk assessment tools to be evaluated on outcomes prior to dementia onset, such as cognitive performance. The relevant citations have been appropriately cited.\n\nInterpretationThe Australian National University Alzheimers Disease Risk Index (ANU-ADRI) was more broadly associated with cognitive performance than Alzheimers genetic risk. For the ANU-ADRI, stronger effects were observed for dementia-related variance in cognitive task performance that for variance in general cognitive function. This suggests that ANU-ADRI is more specifically associated with dementia-related processes and further validates its use in early risk assessment for dementia.\n\nFuture DirectionsAccordingly, future studies should seek to evaluate the association of the ANU-ADRI and genetic risk with AD biomarkers and longitudinal cognitive performance to evaluate differential trajectories in g and {delta}.

genetics

More Highly Myelinated White Matter Tracts are Associated with Faster Processing Speed in Healthy Adults

The objective of this study was to investigate whether the myelin content of white matter tracts is predictive of cogni-tive processing speed and whether such associations are modulated by age. Associations between myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was measured using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 sep-arate tests of processing speed. It was found that myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting for multiple comparisons. A 1 SD increase in the myelin content of the anterior limb of the internal capsule was associated with 2.53% increase in processing speed and within the left splenium of the corpus callosum with a 2.20% increase in processing speed. In addition, significant differences in myelin content between middle-age and older participants were found in all six white matter tracts. The present results indicate that myelin content, estimated in vivo using a neuroimaging approach in healthy older adults is sufficiently precise to predict variability in processing speed in behavioural measures.

neuroscience