TY - JOUR
T1 - An H-1-MRS framework predicts the onset of Alzheimer's disease symptoms in PSEN1 mutation carriers
AU - Londono, Ana C.
AU - Castellanos, Francisco X.
AU - Arbelaez, Andres
AU - Ruiz, Adriana
AU - Aguirre-Acevedo, Daniel C.
AU - Richardson, Alice M.
AU - Easteal, Simon
AU - Lidbury, Brett A.
AU - Arcos-Burgos, Mauricio
AU - Lopera, Francisco
PY - 2014/9
Y1 - 2014/9
N2 - Background: Alzheimer's disease (AD) is the most common cause of dementia; the main risk factors are age and several recently identified genes. A major challenge for AD research is the early detection of subjects at risk. The aim of this study is to develop a predictive model using proton magnetic resonance spectroscopy (1H-MRS), a noninvasive technique that evaluates brain chemistry in vivo, for monitoring the clinical outcome of carriers of a fully penetrant mutation that causes AD. Methods: We studied 75 subjects from the largest multigenerational pedigree in the world (∼5000 people) that segregates a unique form of early-onset Alzheimer's disease (EOAD) caused by a fully penetrant mutation in the Presenilin-1 gene (PSEN1 p.Glu280Ala [E280 A]). Forty-four subjects were carriers of the mutation, and 31 were noncarriers. Seventeen carriers had either mild cognitive impairment (MCI) or early-stage AD (collectively MCI-AD). In right and left parietal white mater and parasagittal parietal gray matter (RPPGM and LPPGM) of the posterior cingulate gyrus and precuneus, we measured levels of the brain metabolites N-acetylaspartate (NAA), inositol (Ins), choline (Cho), and glutamate-glutamine complex (Glx) relative to creatine (Cr) levels (NAA/Cr, Ins/Cr, Cho/Cr, and Glx/Cr, respectively) with two-dimensional 1H-MRS. Using advanced recursive partition analysis and random forest analysis, we built classificatory decision trees for both mutation carrier status and the presence of MCI-AD symptoms, fitting them to 1H-MRS data while controlling for age, educational level, and sex. Results: We found that (1) the combination of LPPGM Cho/Cr <0.165 and RPPGM Glx/Cr >1.54 fully excluded carriers; (2) LPPGM Cho/Cr >0.165, RPPGM Glx/Cr <1.54, and left parietal white mater NAA/Cr >1.16 identified asymptomatic carriers with sensitivity of 97.7% and specificity of 77.4%; and (3) RPPGM NAA/Cr >1.05 defined asymptomatic subjects (independent of carrier status) with sensitivity of 100% and a specificity of 96.6%. Conclusions: Brain metabolites measured by 1H-MRS in the posterior cingulate gyrus and precuneus are optimally sensitive and specific potential noninvasive biomarkers of subclinical emergence of AD caused by the PSEN1 p.Glu280Ala (E280 A) mutation.
AB - Background: Alzheimer's disease (AD) is the most common cause of dementia; the main risk factors are age and several recently identified genes. A major challenge for AD research is the early detection of subjects at risk. The aim of this study is to develop a predictive model using proton magnetic resonance spectroscopy (1H-MRS), a noninvasive technique that evaluates brain chemistry in vivo, for monitoring the clinical outcome of carriers of a fully penetrant mutation that causes AD. Methods: We studied 75 subjects from the largest multigenerational pedigree in the world (∼5000 people) that segregates a unique form of early-onset Alzheimer's disease (EOAD) caused by a fully penetrant mutation in the Presenilin-1 gene (PSEN1 p.Glu280Ala [E280 A]). Forty-four subjects were carriers of the mutation, and 31 were noncarriers. Seventeen carriers had either mild cognitive impairment (MCI) or early-stage AD (collectively MCI-AD). In right and left parietal white mater and parasagittal parietal gray matter (RPPGM and LPPGM) of the posterior cingulate gyrus and precuneus, we measured levels of the brain metabolites N-acetylaspartate (NAA), inositol (Ins), choline (Cho), and glutamate-glutamine complex (Glx) relative to creatine (Cr) levels (NAA/Cr, Ins/Cr, Cho/Cr, and Glx/Cr, respectively) with two-dimensional 1H-MRS. Using advanced recursive partition analysis and random forest analysis, we built classificatory decision trees for both mutation carrier status and the presence of MCI-AD symptoms, fitting them to 1H-MRS data while controlling for age, educational level, and sex. Results: We found that (1) the combination of LPPGM Cho/Cr <0.165 and RPPGM Glx/Cr >1.54 fully excluded carriers; (2) LPPGM Cho/Cr >0.165, RPPGM Glx/Cr <1.54, and left parietal white mater NAA/Cr >1.16 identified asymptomatic carriers with sensitivity of 97.7% and specificity of 77.4%; and (3) RPPGM NAA/Cr >1.05 defined asymptomatic subjects (independent of carrier status) with sensitivity of 100% and a specificity of 96.6%. Conclusions: Brain metabolites measured by 1H-MRS in the posterior cingulate gyrus and precuneus are optimally sensitive and specific potential noninvasive biomarkers of subclinical emergence of AD caused by the PSEN1 p.Glu280Ala (E280 A) mutation.
KW - Alzheimer's disease
KW - Familial Alzheimer's
KW - Prediction
KW - PSEN1
UR - http://www.scopus.com/inward/record.url?scp=85027925466&partnerID=8YFLogxK
U2 - 10.1016/j.jalz.2013.08.282
DO - 10.1016/j.jalz.2013.08.282
M3 - Article
C2 - 24239247
SN - 1552-5260
VL - 10
SP - 552
EP - 561
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 5
ER -