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...
Autores principales: | , , , , , , , , , |
---|---|
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 |