Cargando…

Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease

Increased amyloid burden and decreased glucose metabolism are important characteristics of Alzheimer’s disease (AD), but their spatial distribution and hierarchical clustering organization are still poorly understood. In this study, we explored the distribution and clustering organization of amyloid...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Da-An, Xu, Kai, Zhao, Xiaobin, Chen, Qian, Sang, Feng, Fan, Di, Su, Li, Zhang, Zhanjun, Ai, Lin, Chen, Yaojing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207533/
https://www.ncbi.nlm.nih.gov/pubmed/35734543
http://dx.doi.org/10.3389/fnagi.2022.788567
_version_ 1784729553060495360
author Zhou, Da-An
Xu, Kai
Zhao, Xiaobin
Chen, Qian
Sang, Feng
Fan, Di
Su, Li
Zhang, Zhanjun
Ai, Lin
Chen, Yaojing
author_facet Zhou, Da-An
Xu, Kai
Zhao, Xiaobin
Chen, Qian
Sang, Feng
Fan, Di
Su, Li
Zhang, Zhanjun
Ai, Lin
Chen, Yaojing
author_sort Zhou, Da-An
collection PubMed
description Increased amyloid burden and decreased glucose metabolism are important characteristics of Alzheimer’s disease (AD), but their spatial distribution and hierarchical clustering organization are still poorly understood. In this study, we explored the distribution and clustering organization of amyloid and glucose metabolism based on (18)F-florbetapir and (18)F-fluorodeoxyglucose PET data from 68 AD patients and 20 cognitively normal individuals. We found that: (i) cortical regions with highest florbetapir binding were the regions with high glucose metabolism; (ii) the percentage changes of amyloid deposition were greatest in the frontal and temporal areas, and the hypometabolism was greatest in the parietal and temporal areas; (iii) brain areas can be divided into three hierarchical clusters by amyloid and into five clusters by metabolism using a hierarchical clustering approach, indicating that adjacent regions are more likely to be grouped into one sub-network; and (iv) there was a significant positive correlation in any pair of amyloid-amyloid and metabolism-metabolism sub-networks, and a significant negative correlation in amyloid-metabolism sub-networks. This may suggest that the influence forms and brain regions of AD on different pathological markers may not be synchronous, but they are closely related.
format Online
Article
Text
id pubmed-9207533
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-92075332022-06-21 Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease Zhou, Da-An Xu, Kai Zhao, Xiaobin Chen, Qian Sang, Feng Fan, Di Su, Li Zhang, Zhanjun Ai, Lin Chen, Yaojing Front Aging Neurosci Neuroscience Increased amyloid burden and decreased glucose metabolism are important characteristics of Alzheimer’s disease (AD), but their spatial distribution and hierarchical clustering organization are still poorly understood. In this study, we explored the distribution and clustering organization of amyloid and glucose metabolism based on (18)F-florbetapir and (18)F-fluorodeoxyglucose PET data from 68 AD patients and 20 cognitively normal individuals. We found that: (i) cortical regions with highest florbetapir binding were the regions with high glucose metabolism; (ii) the percentage changes of amyloid deposition were greatest in the frontal and temporal areas, and the hypometabolism was greatest in the parietal and temporal areas; (iii) brain areas can be divided into three hierarchical clusters by amyloid and into five clusters by metabolism using a hierarchical clustering approach, indicating that adjacent regions are more likely to be grouped into one sub-network; and (iv) there was a significant positive correlation in any pair of amyloid-amyloid and metabolism-metabolism sub-networks, and a significant negative correlation in amyloid-metabolism sub-networks. This may suggest that the influence forms and brain regions of AD on different pathological markers may not be synchronous, but they are closely related. Frontiers Media S.A. 2022-06-06 /pmc/articles/PMC9207533/ /pubmed/35734543 http://dx.doi.org/10.3389/fnagi.2022.788567 Text en Copyright © 2022 Zhou, Xu, Zhao, Chen, Sang, Fan, Su, Zhang, Ai and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhou, Da-An
Xu, Kai
Zhao, Xiaobin
Chen, Qian
Sang, Feng
Fan, Di
Su, Li
Zhang, Zhanjun
Ai, Lin
Chen, Yaojing
Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title_full Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title_fullStr Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title_full_unstemmed Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title_short Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer’s Disease
title_sort spatial distribution and hierarchical clustering of β-amyloid and glucose metabolism in alzheimer’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207533/
https://www.ncbi.nlm.nih.gov/pubmed/35734543
http://dx.doi.org/10.3389/fnagi.2022.788567
work_keys_str_mv AT zhoudaan spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT xukai spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT zhaoxiaobin spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT chenqian spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT sangfeng spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT fandi spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT suli spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT zhangzhanjun spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT ailin spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease
AT chenyaojing spatialdistributionandhierarchicalclusteringofbamyloidandglucosemetabolisminalzheimersdisease