Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population: The Hisayama Study.
Journal
Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975
Informations de publication
Date de publication:
02 06 2022
02 06 2022
Historique:
received:
13
09
2021
accepted:
25
03
2022
pubmed:
3
5
2022
medline:
7
6
2022
entrez:
2
5
2022
Statut:
ppublish
Résumé
To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population. In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM. Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum. The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
Identifiants
pubmed: 35500069
pii: 146860
doi: 10.2337/dc21-1911
doi:
Banques de données
figshare
['10.2337/figshare.19467551']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1364-1371Informations de copyright
© 2022 by the American Diabetes Association.