Genetic risks of Alzheimer’s by APOE and MAPT on cortical morphology in young healthy adults

Author:

Huang Weijie123,Zeng Jianmin4,Jia Lina5,Zhu Dajiang6,O’Brien John7ORCID,Ritchie Craig89,Shu Ni1,Su Li27

Affiliation:

1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University , Beijing 100875 , China

2. Department of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield , Sheffield S10 2HQ , UK

3. School of Systems Science, Beijing Normal University , Beijing 100875 , China

4. Faculty of Psychology, Sino-Britain Centre for Cognition and Ageing Research, Southwest University , Chongqing 400715 , China

5. Beijing Anding Hospital, Capital Medical University , Beijing 100088 , China

6. Department of Computer Science and Engineering, University of Texas at Arlington , Arlington, TX 76019 , USA

7. Department of Psychiatry, School of Clinical Medicine, University of Cambridge , Cambridge CB2 0SZ , UK

8. Edinburgh Dementia Prevention and Centre for Clinical Brain Sciences, Edinburgh Medical School, University of Edinburgh , Edinburgh EH4 2XU , UK

9. Scottish Brain Sciences , Edinburgh EH12 9DQ , UK

Abstract

Abstract Genetic risk factors such as APOE ε4 and MAPT (rs242557) A allele are associated with amyloid and tau pathways and grey matter changes at both early and established stages of Alzheimer’s disease, but their effects on cortical morphology in young healthy adults remain unclear. A total of 144 participants aged from 18 to 24 underwent 3T MRI and genotyping for APOE and MAPT to investigate unique impacts of these genetic risk factors in a cohort without significant comorbid conditions such as metabolic and cardiovascular diseases. We segmented the cerebral cortex into 68 regions and calculated the cortical area, thickness, curvature and folding index for each region. Then, we trained machine learning models to classify APOE and MAPT genotypes using these morphological features. In addition, we applied a growing hierarchical self-organizing maps algorithm, which clustered the 68 regions into 4 subgroups representing different morphological patterns. Then, we performed general linear model analyses to estimate the interaction between APOE and MAPT on cortical patterns. We found that the classifiers using all cortical features could accurately classify individuals carrying genetic risks of dementia outperforming each individual feature alone. APOE ε4 carriers had a more convoluted and thinner cortex across the cerebral cortex. A similar pattern was found in MAPT A allele carriers only in the regions that are vulnerable for early tau pathology. With the clustering analysis, we found a synergetic effect between APOE ε4 and MAPT A allele, i.e. carriers of both risk factors showed the most deviation of cortical pattern from the typical pattern of that cluster. Genetic risk factors of dementia by APOE ε4 and MAPT (rs242557) A allele were associated with variations of cortical morphology, which can be observed in young healthy adults more than 30 years before Alzheimer’s pathology is likely to occur and 50 years before dementia symptoms may begin.

Funder

STI2030-Major Projects

China Scholarship Council

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning

Alzheimer’s Research UK Senior Research Fellowship

NIHR Sheffield Biomedical Research Centre

Publisher

Oxford University Press (OUP)

Subject

Neurology,Cellular and Molecular Neuroscience,Biological Psychiatry,Psychiatry and Mental health

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