Cargando…

Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis

Brain (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) has been utilized to monitor disease conversion from amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia (AD). However, the conversion patterns of FDG-PET metabolism across studies are not conclusive. We conducted a...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Hai Rong, Sheng, Li Qin, Pan, Ping Lei, Wang, Gen Di, Luo, Rong, Shi, Hai Cun, Dai, Zhen Yu, Zhong, Jian Guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5911957/
https://www.ncbi.nlm.nih.gov/pubmed/29713467
http://dx.doi.org/10.1186/s40035-018-0114-z
_version_ 1783316304797630464
author Ma, Hai Rong
Sheng, Li Qin
Pan, Ping Lei
Wang, Gen Di
Luo, Rong
Shi, Hai Cun
Dai, Zhen Yu
Zhong, Jian Guo
author_facet Ma, Hai Rong
Sheng, Li Qin
Pan, Ping Lei
Wang, Gen Di
Luo, Rong
Shi, Hai Cun
Dai, Zhen Yu
Zhong, Jian Guo
author_sort Ma, Hai Rong
collection PubMed
description Brain (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) has been utilized to monitor disease conversion from amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia (AD). However, the conversion patterns of FDG-PET metabolism across studies are not conclusive. We conducted a voxel-wise meta-analysis using Seed-based d Mapping that included 10 baseline voxel-wise FDG-PET comparisons between 93 aMCI converters and 129 aMCI non-converters from nine longitudinal studies. The most robust and reliable metabolic alterations that predicted conversion from aMCI to AD were localized in the left posterior cingulate cortex (PCC)/precuneus. Furthermore, meta-regression analyses indicated that baseline mean age and severity of cognitive impairment, and follow-up duration were significant moderators for metabolic alterations in aMCI converters. Our study revealed hypometabolism in the left PCC/precuneus as an early feature in the development of AD. This finding has important implications in understanding the neural substrates for AD conversion and could serve as a potential imaging biomarker for early detection of AD as well as for tracking disease progression at the predementia stage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40035-018-0114-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5911957
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-59119572018-04-30 Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis Ma, Hai Rong Sheng, Li Qin Pan, Ping Lei Wang, Gen Di Luo, Rong Shi, Hai Cun Dai, Zhen Yu Zhong, Jian Guo Transl Neurodegener Review Brain (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) has been utilized to monitor disease conversion from amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia (AD). However, the conversion patterns of FDG-PET metabolism across studies are not conclusive. We conducted a voxel-wise meta-analysis using Seed-based d Mapping that included 10 baseline voxel-wise FDG-PET comparisons between 93 aMCI converters and 129 aMCI non-converters from nine longitudinal studies. The most robust and reliable metabolic alterations that predicted conversion from aMCI to AD were localized in the left posterior cingulate cortex (PCC)/precuneus. Furthermore, meta-regression analyses indicated that baseline mean age and severity of cognitive impairment, and follow-up duration were significant moderators for metabolic alterations in aMCI converters. Our study revealed hypometabolism in the left PCC/precuneus as an early feature in the development of AD. This finding has important implications in understanding the neural substrates for AD conversion and could serve as a potential imaging biomarker for early detection of AD as well as for tracking disease progression at the predementia stage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40035-018-0114-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-23 /pmc/articles/PMC5911957/ /pubmed/29713467 http://dx.doi.org/10.1186/s40035-018-0114-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Ma, Hai Rong
Sheng, Li Qin
Pan, Ping Lei
Wang, Gen Di
Luo, Rong
Shi, Hai Cun
Dai, Zhen Yu
Zhong, Jian Guo
Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title_full Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title_fullStr Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title_full_unstemmed Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title_short Cerebral glucose metabolic prediction from amnestic mild cognitive impairment to Alzheimer’s dementia: a meta-analysis
title_sort cerebral glucose metabolic prediction from amnestic mild cognitive impairment to alzheimer’s dementia: a meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5911957/
https://www.ncbi.nlm.nih.gov/pubmed/29713467
http://dx.doi.org/10.1186/s40035-018-0114-z
work_keys_str_mv AT mahairong cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT shengliqin cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT panpinglei cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT wanggendi cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT luorong cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT shihaicun cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT daizhenyu cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis
AT zhongjianguo cerebralglucosemetabolicpredictionfromamnesticmildcognitiveimpairmenttoalzheimersdementiaametaanalysis