Carles Falcon1,2, Alan Tucholka1, Juan Domingo Gispert1,2, Gemma Cristina Monte-Rubio3, Lorena Rami3,4, and Jose Luis Molinuevo3,4
1BarcelonaBeta Brain Research Center. Pasqual Maragall Foundation, Barcelona, Spain, 2CIBER-BBN, Barcelona, Spain, 3Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain, 4Neurology, Hospital Clinic of Barcelona, Barcelona, Spain
Synopsis
We report the correlation of two-year gray matter (GM) changes with basal levels
of Aβ42, p-tau and p-tau/Aβ42 in CSF on a sample of 62 cognitively normal subjects (18 Aβ42
positive and 26 p-tau positive),
aged 60-80. GM volume decrease was correlated with Aβ42 in medial and orbital frontal, precuneus,
cingulate, medial temporal regions and cerebellum. Correlations with
p-tau were located in left hippocampus, parahippocampus and striatal nuclei and
with p-tau/Aβ42 in ventral and medial temporal areas. We conclude
that diverse pathological mechanisms in the preclinical stage could underpin atrophy
rates in different regions known to be altered in ADPurpose
To evaluate the association between longitudinal
GM changes and basal CSF Alzheimer's Disease biomarker levels on elderly cognitively normal subjects,
AD preclinical subjects (Aβ42 positive) and healthy controls. Two independent cohorts have been analyzed to improve the generalizability of results.
Methods
The sample
consisted in 62 cognitively healthy subjects (MMSE > 28, CDR = 0 and objective
cognitive performance within the normal range), aged 60-80.
Thirty-one of them were recruited at Hospital Clinic of Barcelona and the rest
were selected from ADNI dataset (http://adni.loni.usc.edu). All subjects had been submitted to two MRI
sessions delayed 2-years apart and to a lumbar punction at the time of the
first scan to obtain CSF Aβ42
and p-tau levels. Eighteen
subjects resulted Aβ42 positive (preclinical AD) and 26 had abnormally high value of p-tau, based on
previously reported normality thresholds for the respective cohorts. The MRI
protocol for the two sessions was in all cases exactly the same and contained a
high resolution 3d T1-weigthed imaging (1x1x1mm3 in local sample and
1x1x1.2mm3 in subjects from ADNI dataset). Demographics are shown in
table 1.
Pre and
post images were corregistered with longitudinal pair-wise registration tool
from SPM12. Corregistration resulted in a pre-post average image and an image
with the divergence of the pre-post matching velocities, which accounted for
local longitudinal changes of volume. Average images were normalized to MNI
through DARTEL and resulting warps were applied to GM-WM masked divergence
images, that later were smoothed with an 8 mm FWHM Gaussian kernel. Images were
then divided by the exact time between scans (atrophy rates) and masked with a
common GM mask. Voxel-wise correlations of atrophy rates with Aβ42, p-tau and p-tau/Aβ42
ratio, after correction by age,
gender and educational level, were carried out. Statistical significance
was considered for p<0.001 uncorrected for multiple comparisons and a
minimum cluster size of 100 voxels.
Results
Figure 1 shows the maps of the
regions that reached statistically significant associations with the core AD
CSF biomarkers.
Aβ42 and p-tau maps were disjoint. Atrophy
rates were correlated with Aβ42 in medial and orbital frontal, precuneus, cingulate, medial temporal
regions and cerebellum, whereas, correlations with p-tau were located in
left hippocampus, parahippocampus and striatal nuclei. On the other hand,
p-tau/Aβ42 ratio maps shared areas with Aβ42 and p-tau
maps, but also showed specific regions mainly in temporal medial structures and
left basal ganglia.
Discussion and conclusions
All the regions found in the correlation analysis have
been widely reported to be associated to AD. In the preclinical stage of AD, different
pathological mechanisms might underpin atrophy in diverse brain areas known to
be related to AD. At this stage of the disease, hippocampal atrophy seems to be
independent on Aβ42 and just dependent on p-tau levels.
Acknowledgements
Data collection for this paper was partially
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).
Juan D
Gispert holds a ‘Ramón y Cajal’ fellowship (RYC-2013-13054) and Lorena Rami is
part of the Programa de investigadores del sistema nacional Miguel Servet II
(CPII/00023; IP: Lorena Rami). The research leading to these results has
received support from the Innovative Medicines Initiative Joint Undertaking
under grant agreement n°115568 (AETIONOMY), resources of which are composed of
financial contribution from the European Union's Seventh Framework Programme
(FP7/2007-2013) and EFPIA companies’ in kind contribution. This publication has
also been suported by the BIOMARKAPD project within the EU Joint Programme for
Neurodegenerative Diseases (JPND) funded by the ISCIII (PI11/03023 PI José L
Molinuevo; PI11/03022 PI: Juan D Gispert), Consolider-Ingenio 2010 (CSD
2010-00045 PI: José L Molinuevo), FIS-Fondo europeo de desarrollo regional, una
manera de hacer Europa (PI11/01071 IP: Lorena Rami), proyecto IMSERSO (197/2011
IPD: Lorena Rami), Mapfre company grant (IP: Lorena Rami), Industex S.L.
company grant (PI: Juan D Gispert), Research Grant from the Ayuntamento de
Barcelona (PI: Juan D Gispert)
References
No reference found.