» Articles » PMID: 20065246

Reduced Gray Matter Volume in Normal Adults with a Maternal Family History of Alzheimer Disease

Overview
Journal Neurology
Specialty Neurology
Date 2010 Jan 13
PMID 20065246
Citations 72
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: A consistently identified risk factor for Alzheimer disease (AD) is family history of dementia, with maternal transmission significantly more frequent than paternal transmission. A history of maternal AD may be related to AD-like glucose consumption in cognitively healthy subjects. In this cross-sectional study, we tested whether cognitively healthy people with a family history of AD have less gray matter volume (GMV), an endophenotype for late-onset AD, than individuals with no family history, and whether decreases in GMV are different in subjects with a maternal family history.

Methods: As part of the Kansas University Brain Aging Project, 67 cognitively intact individuals with a maternal history of late-onset AD (FHm, n = 16), a paternal history of AD (FHp, n = 8), or no parental history of AD (FH-, n = 43), similar in age, gender, education, and Mini-Mental State Examination score, were scanned at 3 T. We used voxel-based morphometry to examine GMV differences between groups, controlling for age, gender, and apoE4.

Results: Cognitively healthy individuals with a family history of late-onset AD had significantly decreased GMV in the precuneus, middle frontal, inferior frontal, and superior frontal gyri compared with FH- individuals. FHm subjects had significantly smaller inferior frontal, middle frontal, precuneus, and lingual gyri compared with FH- and FHp subjects.

Conclusions: Overall, maternal family history of Alzheimer disease (AD) in cognitively normal individuals is associated with lower gray matter volume in AD-vulnerable brain regions. These data complement and extend reports of cerebral metabolic differences in subjects with a maternal family history.

Citing Articles

TOMM40 may mediate GFAP, neurofilament light Protein, pTau181, and brain morphometry in aging.

Honea R, Wilkins H, Hunt S, Kueck P, Burns J, Swerdlow R Aging Brain. 2025; 7:100134.

PMID: 39760103 PMC: 11699468. DOI: 10.1016/j.nbas.2024.100134.


Impact of Apolipoprotein E ε4 in Alzheimer's Disease: A Meta-Analysis of Voxel-Based Morphometry Studies.

Bailey M, Ilchovska Z, Hosseini A, Jung J J Clin Neurol. 2024; 20(5):469-477.

PMID: 39227329 PMC: 11372214. DOI: 10.3988/jcn.2024.0176.


Visual Impairment, Eye Conditions, and Diagnoses of Neurodegeneration and Dementia.

Ferguson E, Thoma M, Buto P, Wang J, Glymour M, Hoffmann T JAMA Netw Open. 2024; 7(7):e2424539.

PMID: 39078629 PMC: 11289698. DOI: 10.1001/jamanetworkopen.2024.24539.


Automated detection of Alzheimer's disease: a multi-modal approach with 3D MRI and amyloid PET.

Castellano G, Esposito A, Lella E, Montanaro G, Vessio G Sci Rep. 2024; 14(1):5210.

PMID: 38433282 PMC: 10909869. DOI: 10.1038/s41598-024-56001-9.


Alzheimer's disease cortical morphological phenotypes are associated with TOMM40'523-APOE haplotypes.

Honea R, Hunt S, Lepping R, Vidoni E, Morris J, Watts A Neurobiol Aging. 2023; 132:131-144.

PMID: 37804609 PMC: 10763175. DOI: 10.1016/j.neurobiolaging.2023.09.001.


References
1.
Gomez-Tortosa E, Barquero M, Baron M, Sainz M, Manzano S, Payno M . Variability of age at onset in siblings with familial Alzheimer disease. Arch Neurol. 2007; 64(12):1743-8. DOI: 10.1001/archneur.64.12.1743. View

2.
Cupples L, Farrer L, Sadovnick A, Relkin N, Whitehouse P, Green R . Estimating risk curves for first-degree relatives of patients with Alzheimer's disease: the REVEAL study. Genet Med. 2004; 6(4):192-6. DOI: 10.1097/01.gim.0000132679.92238.58. View

3.
Mosconi L, Sorbi S, de Leon M, Li Y, Nacmias B, Myoung P . Hypometabolism exceeds atrophy in presymptomatic early-onset familial Alzheimer's disease. J Nucl Med. 2006; 47(11):1778-86. View

4.
Coskun P, Beal M, Wallace D . Alzheimer's brains harbor somatic mtDNA control-region mutations that suppress mitochondrial transcription and replication. Proc Natl Acad Sci U S A. 2004; 101(29):10726-31. PMC: 490002. DOI: 10.1073/pnas.0403649101. View

5.
Misra C, Fan Y, Davatzikos C . Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. Neuroimage. 2008; 44(4):1415-22. PMC: 2648825. DOI: 10.1016/j.neuroimage.2008.10.031. View