Douglas C Dean1, Beth A Jerskey2, Kewei Chen3, Hillary Protas4, Pradeep Thiyyagura4, Auttawat Roontiva4, Jonathan O'Muircheartaigh5, Holly Dirks1, Nicole Waskiewicz1, Katie Lehman1, Ashley L Siniard6, Mari N Turk7, Xue Hua8, Sarah K Madsen8, Paul M Thompson8, Adam S Fleisher9, Matthew J Huentelman6, Sean C L Deoni1, Eric M Reiman10. 1. Advanced Baby Imaging Lab, School of Engineering, Brown University, Providence, Rhode Island. 2. Alpert Medical School of Brown University, Providence, Rhode Island. 3. Banner Alzheimer's Institute, Phoenix, Arizona4Department of Mathematics, Arizona State University, Tempe5Department of Radiology, University of Arizona School of Medicine, Tucson6Arizona Alzheimer's Consortium, Phoenix. 4. Banner Alzheimer's Institute, Phoenix, Arizona6Arizona Alzheimer's Consortium, Phoenix. 5. Advanced Baby Imaging Lab, School of Engineering, Brown University, Providence, Rhode Island7Department of Neuroimaging, King's College London, Institute of Psychiatry, London, England. 6. Arizona Alzheimer's Consortium, Phoenix9Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona. 7. Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona. 8. Imaging Genetics Center, Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles School of Medicine, Los Angeles. 9. Banner Alzheimer's Institute, Phoenix, Arizona6Arizona Alzheimer's Consortium, Phoenix8Department of Neurology, University of California, San Diego School of Medicine, San Diego. 10. Banner Alzheimer's Institute, Phoenix, Arizona6Arizona Alzheimer's Consortium, Phoenix9Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona11Department of Psychiatry, University of Arizona School of Medicine, Phoenix.
Abstract
IMPORTANCE: Converging evidence suggests brain structure alterations may precede overt cognitive impairment in Alzheimer disease by several decades. Early detection of these alterations holds inherent value for the development and evaluation of preventive treatment therapies. OBJECTIVE: To compare magnetic resonance imaging measurements of white matter myelin water fraction (MWF) and gray matter volume (GMV) in healthy infant carriers and noncarriers of the apolipoprotein E (APOE) ε4 allele, the major susceptibility gene for late-onset AD. DESIGN, SETTING, AND PARTICIPANTS: Quiet magnetic resonance imaging was performed at an academic research imaging center on 162 healthy, typically developing 2- to 25-month-old infants with no family history of Alzheimer disease or other neurological or psychiatric disorders. Cross-sectional measurements were compared in the APOE ε4 carrier and noncarrier groups. White matter MWF was compared in one hundred sixty-two 2- to 25-month-old sleeping infants (60 ε4 carriers and 102 noncarriers). Gray matter volume was compared in a subset of fifty-nine 6- to 25-month-old infants (23 ε4 carriers and 36 noncarriers), who remained asleep during the scanning session. The carrier and noncarrier groups were matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. MAIN OUTCOMES AND MEASURES: Automated algorithms compared regional white matter MWF and GMV in the carrier and noncarrier groups and characterized their associations with age. RESULTS: Infant ε4 carriers had lower MWF and GMV measurements than noncarriers in precuneus, posterior/middle cingulate, lateral temporal, and medial occipitotemporal regions, areas preferentially affected by AD, and greater MWF and GMV measurements in extensive frontal regions and measurements were also significant in the subset of 2- to 6-month-old infants (MWF differences, P < .05, after correction for multiple comparisons; GMV differences, P < .001, uncorrected for multiple comparisons). Infant ε4 carriers also exhibited an attenuated relationship between MWF and age in posterior white matter regions. CONCLUSIONS AND RELEVANCE: While our findings should be considered preliminary, this study demonstrates some of the earliest brain changes associated with the genetic predisposition to AD. It raises new questions about the role of APOE in normal human brain development, the extent to which these processes are related to subsequent AD pathology, and whether they could be targeted by AD prevention therapies.
IMPORTANCE: Converging evidence suggests brain structure alterations may precede overt cognitive impairment in Alzheimer disease by several decades. Early detection of these alterations holds inherent value for the development and evaluation of preventive treatment therapies. OBJECTIVE:To compare magnetic resonance imaging measurements ofwhite matter myelin water fraction (MWF) and gray matter volume (GMV) in healthy infant carriers and noncarriers of the apolipoprotein E (APOE) ε4 allele, the major susceptibility gene for late-onset AD. DESIGN, SETTING, AND PARTICIPANTS: Quiet magnetic resonance imaging was performed at an academic research imaging center on 162 healthy, typically developing 2- to 25-month-old infants with no family history ofAlzheimer disease or other neurological or psychiatric disorders. Cross-sectional measurements were compared in the APOE ε4 carrier and noncarrier groups. White matter MWF was compared in one hundred sixty-two 2- to 25-month-old sleeping infants (60 ε4 carriers and 102 noncarriers). Gray matter volume was compared in a subset of fifty-nine 6- to 25-month-old infants (23 ε4 carriers and 36 noncarriers), who remained asleep during the scanning session. The carrier and noncarrier groups were matched for age, gestational duration, birth weight, sex ratio, maternal age, education, and socioeconomic status. MAIN OUTCOMES AND MEASURES: Automated algorithms compared regional white matter MWF and GMV in the carrier and noncarrier groups and characterized their associations with age. RESULTS:Infant ε4 carriers had lower MWF and GMV measurements than noncarriers in precuneus, posterior/middle cingulate, lateral temporal, and medial occipitotemporal regions, areas preferentially affected by AD, and greater MWF and GMV measurements in extensive frontal regions and measurements were also significant in the subset of 2- to 6-month-old infants (MWF differences, P < .05, after correction for multiple comparisons; GMV differences, P < .001, uncorrected for multiple comparisons). Infant ε4 carriers also exhibited an attenuated relationship between MWF and age in posterior white matter regions. CONCLUSIONS AND RELEVANCE: While our findings should be considered preliminary, this study demonstrates some of the earliest brain changes associated with the genetic predisposition toAD. It raises new questions about the role ofAPOE in normal human brain development, the extent to which these processes are related to subsequent AD pathology, and whether they could be targeted by AD prevention therapies.
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