Differences in Grey Matter Concentrations and Functional Connectivity between Young Carriers and Non-Carriers of the APOE ε4 Genotype

Author:

Muñoz-Neira Carlos12ORCID,Zeng Jianmin3ORCID,Kucikova Ludmila14ORCID,Huang Weijie125ORCID,Xiong Xiong16,Muniz-Terrera Graciela78,Ritchie Craig79,O’Brien John T.2ORCID,Su Li124

Affiliation:

1. Artificial Intelligence & Computational Neuroscience Group (AICN Group), Sheffield Institute for Translational Neuroscience (SITraN), Division of Neuroscience, School of Medicine and Population Health, Faculty of Health, University of Sheffield, Sheffield S10 2HQ, UK

2. Old Age Psychiatry Research Group (OAP Group), Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SZ, UK

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

4. Insigneo Institute for In Silico Medicine, University of Sheffield, Sheffield S1 3JD, UK

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

6. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

7. Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH4 2XU, UK

8. Ohio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701, USA

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

Abstract

Background: The pathophysiology of Alzheimer’s disease (AD) may begin developing years or even decades prior to the manifestation of its first symptoms. The APOE ε4 genotype is a prominent genetic risk for AD that has been found to be associated with brain changes across the lifespan since early adulthood. Thus, studying brain changes that may occur in young adults with an APOE ε4 status is highly relevant. Objective: Examine potential differences in grey matter (GM) and functional connectivity (FC) in brains of cognitively healthy young APOE ε4 carriers and non-carriers, denoted here as ε4(+) and ε4(−), respectively. Methods: Three Tesla magnetic resonance imaging (MRI) brain scans were acquired from cognitively healthy young participants aged approximately 20 years (n = 151). Voxel-based morphometry (VBM) analysis was employed to identify potential structural differences in GM between ε4(+) and ε4(−). In a subsequent seed-based connectivity (SBC) analysis, brain regions that structurally differed in the VBM analysis were considered as seeds and correlated with all the remaining voxels across the brains to then measure the differences in FC between groups. Results: The VBM analysis suggested that ε4(+) (n = 28) had greater GM densities relative to ε4(−) (n = 123) in the left hippocampus and the left posterior insula (puncorr < 0.001). However, the effect did not survive the correction for multiple comparisons, suggesting minimal structural differences in this age range. In contrast, the SBC analysis indicated that ε4(+) exhibited significantly decreased FC between the left hippocampus and areas of the left middle temporal gyrus (n = 27) compared to ε4(−) (n = 102). These results remained significant after multiple comparisons (pFDR < 0.05). Lastly, no statistically significant differences in FC between groups were observed for the left insular seed (pFDR > 0.05). Discussion: These results suggest early structural and functional brain changes associated with the APOE ε4 genotype on young adults. Yet, they must be cautiously interpreted and contrasted with both older adults with genetic risk for AD and patients diagnosed with AD.

Funder

China Ministry of Education’s Humanity and Social Sciences Project

Alzheimer’s Research UK Senior Research Fellowship

National Institute for Health and Care Research (NIHR) Sheffield Biomedical Research Centre

Publisher

MDPI AG

Reference67 articles.

1. Prince, M., Wimo, A., Guerchet, M., Ali, G., Wu, Y., and Prina, M. (2024, July 17). The Global Impact of Dementia: An Analysis of Prevalence, Incidence, Cost and Trends; World Alzheimer Report. Available online: https://www.alzint.org/u/WorldAlzheimerReport2015.pdf.

2. United Nations (2019). World Population Prospects 2019: Highlights. Statistical Papers—United Nations (Ser. A), Population and Vital Statistics Report, United Nations.

3. World Health Organization and Alzheimer’s Disease International (2012). Dementia: A Public Health Priority, World Health Organization. Available online: https://www.who.int/publications/i/item/dementia-a-public-health-priority.

4. The Prevalence and Incidence of Dementia Due to Alzheimer’s Disease: A Systematic Review and Meta-Analysis;Fiest;Can. J. Neurol. Sci.,2016

5. Early-onset dementia: Frequency and causes compared to late-onset dementia;McMurtray;Dement. Geriatr. Cogn. Disord.,2006

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