FIRAT KARA1, Michael Belloy1, Garima Yadav1, An Langbeen2, Jules Jacobs3, Disha Shah1, Steffen Roßner4, Peter Ponsaerts5, Marleen Verhoye1, and Annemie Van Der Linden1
1Bioimaging Lab, Antwerp University, Antwerp, Belgium, 2Laboratory of Veterinary Physiology and Biochemistry, Antwerp University, Antwerp, Belgium, 3Mathematics, Leiden University, Netherlands, 4Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany, 5Experimental Cell Transplantation Group, Antwerp University, Antwerp, Belgium
Synopsis
Dysregulation of hypothalamic
pituitary gonadal (HPG) axis signaling with menopause is considered as a risk factor for
Alzheimer’s disease (AD). Menopause leads to decreased sex steroid signaling
and increased luteinizing hormone signaling which may have profound effects on
many cellular processes that predispose to neurodegeneration and impairment in
cognitive function. The effects of amyloid production on resting state BOLD
fMRI using functional connectivity analysis in a mouse model of AD have been
previously published. However how HPG axis dysregulation affect resting state
functional connectivity in a mouse model of AD has not been studied. Here we
show that ovariectomized AD mice, a commonly used animal model to study
menopause related hormonal changes in the HPG axis, exhibit alterations
in resting state connectivity in the mouse default mode network connectivity.
These findings establish a causal link between AD and
HPG axis dysregulation.
Introduction
The hypothalamic-pituitary-gonadal axis
(HPG-axis) imbalance (observed after post-menopause), which causes accelerated
aging, is considered as an important risk factor for Alzheimer’s disease (AD)[1].
However, little is known about how dysregulation of the HPG axis hormones (i.e.
estrogen) affects the integrity of the resting state functional connectivity,
and how these changes contribute to the disease progression. Among the brain
networks, the default mode network (DMN) activity is one of the most widely
studied resting state functional networks due to its sensitivity to
pathological alterations in the brain. In this study, we used resting state blood
oxygen level dependent (BOLD) functional magnetic resonance imaging (rsfMRI) to
longitudinally monitor brain functional connectivity changes in the DMN-like
brain regions in an AD mouse model (i.e. Tg2576 mice), which develop amyloid
deposits in the cortical and limbic regions by 9 months of age [2]. We hypothesized that the ovariectomized (OVX) mice, the most commonly used pre-clinical model to study impact of the dysregulation of the HPG axis, will show
altered resting state functional connectivity due to amyloid pathology, low
peripheral estrogen levels, and elevated inflammatory markers . Methods
Experimental design: Tg2576 (TG) and age-matched wild-type (WT) littermates were used in this
study [2]. A group of WT (n=24) and TG (n=23) mice were either sham operated or
ovariectomized (OVX, bilateral removal of ovaries) (at the age of 3.5 months)
after an initial baseline scan at the age of 3 months (M) . The mice were
re-scanned at the age of 6, 8, 14 and 18
M (post-operation time points). MRI:
RsfMRI were
acquired on a 9.4T Biospec MRI system (Bruker) using following imaging
parameters: TE, 15ms; TR, 2s; FOV, 20mm; Matrix, 128x64; nr of axial slices, 16. ECG and respiration rate were
monitored and body heat was kept constant by a warm air system. Histology: An extensive histological
and plasma hormone analysis were performed to detect following parameters:
gliosis, Aβ level and
luteinizing hormone levels (data is not shown)). Data Analysis: Longitudinal rsfMRI data were
analyzed using SPSS’s linear mix model with scaled identity (covariance type)
and restricted maximum
likelihood estimation
as described earlier [3]. For hypothesis testing, significant effects and
interactions were explored using least significant difference test. The mean
difference is significant at the level of p=0.05. Results
Figure 1 shows the comparison
of group functional connectivity (FC) matrices, representing the correlation in
BOLD time series between selected DMN-like brain regions, of WT and TG
mice for different ages after post-operation (i.e. sham or OVX). The comparison
of group means showed age-dependent significant differences between genotypes
(i.e. TG and WT) and groups (i.e. TG-OVX, TG-sham, WT-OVX, WT-sham). In addition
statistically significant time affect was found (P<0.05). The significant changes with
time (i.e. age) are as follows (see Figure 2): 8 months old TG-OVX mice
depicted elevated functional connectivity levels compared to 14 and 18 months
old TG-OVX (P=0.019 & P=0.036 respectively), and 18 months old WT-sham
group have higher functional connectivity levels compared to 6 months old
WT-sham group (P= 0.035). We found following statistically significant group
differences for specific ages (see Figure 2): at 8 months of age, TG-sham group
showed decreased functional connectivity levels compared to WT-sham group (P=
0.002) while TG-OVX group depicted hypersynchronous FC compared to TG-sham
group (P=0.003); at 14 months of age, the TG-sham group showed decreased FC levels
compared to WT-sham group (P=0.045) and TG-OVX group showed decreased FC
compared to WT-OVX group (P=0.005); at 18 months of age, TG-sham group showed
decreased FC compared to WT-sham group (P=0.05) and TG-OVX group showed decreased
FC compared to WT-OVX group (P= 0.001).
Discussion and Conclusion
In our study TG-OVX mice showed
hypersynchronous FC within DMN brain
regions compared to TG-Sham at age 8 M. Since both TG-OVX and TG-sham groups
develop amyloid pathology, we speculated that a decrease in peripheral estrogen
level (due to ovariectomization) when coupled with amyloid pathology may cause
an imbalance between the excitatory and inhibitory neurotransmitter signaling.
TG-OVX group showed significant FC differences with age (between 8M and 18M)
(Figure 2) suggesting that the impact of HPG axis dysregulation on the brain
functional networks in TG-OVX group is more evident early during the disease
progression when there are less amyloid deposits. To conclude, our results suggest
that HPG axis dysregulation is associated with brain functional connectivity
changes in TG mice which develop AD like pathology. Investigating the
underlying mechanisms of hypersynchronous FC within DMN like structures in TG
mice may shed light on why post-menopausal women have higher risk for AD and
help for developing new treatment strategies.Acknowledgements
Acknowledgement: StichtingAlzheimer Onderzoek (SAO-FRA, 14027), IWT (13160), Scientific
Research Flanders (FWO) (grant agreement G.0D76.14, G.0587.14.),postdoctoral
FWO number (no 12S4815N),INMiND(278850).We acknowledge Caroline Guglielmetti
and Cynthia Anckaerts for their technical help. References
[1] Blair et al., Frontiers in Endocrinology
2015; [2] Hsiao K., Chapman P., Nilsen S., et al., Science 1996. 274:99-103;
[3] Duriscki D.A., Soleman S., Moon LDF. et
al., Nature Protocols 2016: 11, 1112-1129.