Abstract

Objective: Although, the apolipoprotein E (APOE) genotype is widely recognized as one of the most important risk factors for Alzheimer's disease (AD) development, the neural mechanisms by which the ε4 allele promotes the AD occurring remain under debate. The aim of this study was to evaluate neurobiological effects of the APOE-genotype on the pattern of the structural covariance in mild cognitive impairment (MCI) subjects.Methods: We enrolled 95 MCI subjects and 49 healthy controls. According to APOE-genotype, MCI subjects were divided into three groups: APOEε4 non-carriers (MCIε4−/−, n = 55), APOEε4 heterozygous carriers (MCIε4+/−, n = 31), and APOEε4 homozygous carriers (MCIε4+/+, n = 9) while all controls were APOEε4 non-carriers. In order to explore their brain structural pattern, T1-weighted anatomical brain 1.5-T MRI scans were collected. A whole-brain voxel-based morphometry analysis was performed, and all significant regions (p < 0.05 family-wise error, whole brain) were selected as a region of interest for the structural covariance analysis. Moreover, in order to evaluate the progression of the disease, a clinical follow-up was performed for 2 years.Results: The F-test showed in voxel-based morphometry analysis a strong overall difference among the groups in the middle frontal and temporal gyri and in the bilateral hippocampi, thalami, and parahippocampal gyri, with a grading in the atrophy in these latter three structures according to the following order: MCIε4+/+ > MCIε4+/− > MCIε4−/− > controls. Structural covariance analysis revealed a strong structural association between the left thalamus and the left caudate and between the right hippocampus and the left caudate (p < 0.05 family-wise error, whole brain) in the MCIε4 carrier groups (MCIε4+/+ > MCIε4+/−), whereas no significant associations were observed in MCIε4−/− subjects. Of note, the 38% of MCIs enrolled in this study developed AD within 2 years of follow-up.Conclusion: This study improves the knowledge on neurobiological effect of APOE ε4 in early pathophysiological phenomena underlying the MCI-to-AD evolution, as our results demonstrate changes in the structural association between hippocampal formation and thalamo-striatal connections occurring in MCI ε4 carriers. Our results strongly support the role of subcortical structures in MCI ε4 carriers and open a clinical window on the role of these structures as early disease markers.

Highlights

  • Individuals with mild cognitive impairment (MCI) have an increased risk of developing Alzheimer’s disease (AD) compared to cognitively intact older people [1]

  • We examined differences in network structural covariance. Those brain areas in which we found significant gray matter (GM) differences among groups by using voxel-based morphometry (VBM) were selected as region of interest (ROI) for structural covariance analysis

  • We found a grading in the atrophy of GM of the hippocampus, parahippocampal gyrus, and thalamus, ordered as follows: MCIε4+/+ > MCIε4+/− > MCIε4−/− > controls

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Summary

Introduction

Individuals with mild cognitive impairment (MCI) have an increased risk of developing Alzheimer’s disease (AD) compared to cognitively intact older people [1]. There is a broad consensus that MCI subjects offer a potential model to understand factors involved in development of full-blown AD, before irreversible brain damage or mental decline has occurred. The risk factor action, which differently works in determining the pathophysiology of the disease, further adds complexity to the model. The effect of the APOE ε4 genotype has been reported to be more deleterious in younger subjects, with accelerated rates of brain atrophy in regions susceptible to deposition of neurofibrillary tangles and neuronal loss [6, 7]. Converging evidence from various pathological and in vivo studies suggests a region-specific effect of the ε4 allele on brain atrophy [8,9,10,11,12,13]. A growing body of evidence suggests that AD pathology propagates stepwise over time, following a specific topological pattern and involving largescale brain networks [15, 16] rather than a focal brain region [17,18,19]

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