Xiao Luo1, Yerfan Jiaerken1, and MinMing Zhang1
1Radiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China, People's Republic of
Synopsis
The purpose of this research
was to study the relationship of white matter hyperintensities (WMH) with
cognitive performance in healthy elderly with different APOE genotypes. In
total, 158 subjects were separated into 3 groups (ε2 carriers, ε4 carriers and ε3
homozygotes). Group differences of regional
WMH volume were calculated. Subsequent correlation analysis between regional WMH
burden and behavior data was performed. Detrimental
effect of APOE ε4
allele on white matter structure was found while no protective effect of APOE ε2 was observed; WMH volume was significantly
correlated with processing speed and executive ability, especially in APOE ε4
carriers.Purpose
Different APOE genotypes have
distinct effect on white matter (WM) and cognitive development trajectory. Previous
studies reported carrying APOE ε4 allele was related to more severe WMH burden
and faster age-related cognitive decline. Conversely, APOE ε2 allele was linked
to faster processing of information and superior executive function (1). However, little neuroimage studies
have focused on this putative “protective” APOE allele. Meanwhile,
limited researches focused on lobar distribution of WMH; actually,
varied regions of WMH had totally different clinical implication (2). The purpose of this study was to understand the
biologic impact of APOE genotype on WM by measuring regional WMH volume.
Besides, we examined whether APOE genotype-related neural endophenotype on WM
were associated with clinical behavior performance.
Methods
158
right-handed cognitively intact healthy participants were enrolled, comprised
of 30 APOE ε2 carriers, 45 ε4 carriers and 83 ε3 homozygotes, who had undergone MPRAGE
scans, T2 FLAIR scans, and neuropsychological assessments. The MPRAGE images and T2FLAIR images
were used to create WMH ROIs for each subject, and then each created ROI was
divided into 4 smaller ROIs according to lobes. We tested the group differences
of WMH volume using ANOVA, and tested the correlations of log-transformed
volume of WMH with behavior data.
Results
There
were no significant differences regarding age, gender, or education among the
groups. Moreover, the gender
ratio and history of disease including diabetes, hypertension and smoking were
equally distributed among three groups. Besides, no difference in neuropsychological
assessments across groups was found. The ε4 carriers had significant increased WMH burden in parietal, occipital and frontal region
over other 2 groups; ε2 carriers had a trend of decreased WMH volume in
occipital and frontal region relative to the ε3
homozygotes (Fig. 1). Correlation analysis showed, especially in APOE ε4
carriers, WMH volumes of parietal and occipital were significantly related with
TMT-A score, and TMT-B score (Details in Fig.2
and Table 1).
Discussion and Conclusion
Our results showed that ε4 carriers
had more WMH burden than ε3
homozygotes in frontal and posterior regions.
It is known that APOE ε4 allele is associated with aggregation of Aβ protein. Based
on these, one of the underlying mechanisms of our observations might be that, the
slightly increased amyloid deposition in asymptomatic ε4 carriers affected
arterial wall and reduced the vessel lumen, which leads to chronic
hypoperfusion in WM (3). Besides, in the
periventricular WM (most located in parietal and frontal lobe), the arteriole
supplying these areas have traveled long and the anastomoses are scarce. WM in
these regions therefore may particularly susceptible to ischemic events
resulting from APOE ε4 status (4). Thus, chronic hypoperfusion
in these regions were exacerbated by perilous blood supply. Meanwhile, the
current study failed to observe a statistically significant “protective” effect
of APOE ε2 allele compared to the controls. Given this study was performed in cognitively
intact subjects, the low WMH burden in both ε2 carriers and controls may reduce
our ability to find any differences.
In addition, our results indicated increased WMH burden in frontal,
parietal and occipital regions was significantly related with degeneration of
processing speed and executive function. Functionally, the processing of sensory-related information is mainly mediated
by dorsal system, including the frontal and posterior parietal area (5). Besides, the parietal/occipital regions
served as the “hubs” within the healthy functional brain network, especially
the precuneus, had disproportionately numerous connections to other brain
regions, was energy demanding and was pivotal for information processing (6). Thus, increased WMH in these regions may disrupt
strategic WM tracts and cause a structural “disconnection”, further, disconnect the
components of distributed neurocognitive networks. Notably, the correlation was
even stronger in ε4 carriers. In contrast, the correlation was weaker or even no longer significant in ε2 carriers and ε3 homozygotes. Such differences in correlation might be explained by the
low WMH burden, since mild WMH is generally considered age-related and
clinically insignificant.
Conclusively,
in this cross-sectional study, we found that the detrimental effect APOE had on
WM but failed to spot its “protective” effect; and that WMH may act as a link between
APOE ε4 allele and cognitive performance.
Acknowledgements
Xiao Luo and Yerfan Jiaerken contributed equally to this work.
This
work is supported by the 12th Five-year Plan for National Science
and Technology Supporting Program of China (Grant No.2012BAI10B04) and the
National Natural Science Foundation of China (Grant Nos.81371519 and 81301190)
Data used in
preparation of this article were obtained from the Alzheimer’s disease
Neuroimaging Initiative (ADNI) database (www.adni.loni.usc.edu).
As such, the investigators within the ADNI contributed to the design and
implementation of ADNI and/or provided data but did not participate in analysis
or writing of this report. A complete listing of ADNI investigators can be
found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
Besides, data collection
and sharing for this project was funded by the Alzheimer's Disease Neuroimaging
Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD
ADNI (Department of Defense award number W81XWH-12-2-0012).
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