A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers
Recently, some studies have applied the graph theory in brain network analysis in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). However, relatively little research has specifically explored the properties of the metabolic network in apolipoprotein E (APOE) ε4 allele carriers. In...
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description | Recently, some studies have applied the graph theory in brain network analysis in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). However, relatively little research has specifically explored the properties of the metabolic network in apolipoprotein E (APOE) ε4 allele carriers. In our study, all the subjects, including ADs, MCIs and NCs (normal controls) were divided into 165 APOE ε4 carriers and 165 APOE ε4 noncarriers. To establish the metabolic network for all brain regions except the cerebellum, cerebral glucose metabolism data obtained from FDG-PET (18F-fluorodeoxyglucose positron emission tomography) were segmented into 90 areas with automated anatomical labeling (AAL) template. Then, the properties of the networks were computed to explore the between-group differences. Our results suggested that both APOE ε4 carriers and noncarriers showed the small-world properties. Besides, compared with APOE ε4 noncarriers, the carriers showed a lower clustering coefficient. In addition, significant changes in 6 hub brain regions were found in between-group nodal centrality. Namely, compared with APOE ε4 noncarriers, significant decreases of the nodal centrality were found in left insula, right insula, right anterior cingulate, right paracingulate gyri, left cuneus, as well as significant increases in left paracentral lobule and left heschl gyrus in APOE ε4 carriers. Increased local short distance interregional correlations and disrupted long distance interregional correlations were found, which may support the point that the APOE ε4 carriers were more similar with AD or MCI in FDG uptake. In summary, the organization of metabolic network in APOE ε4 carriers indicated a less optimal pattern and APOE ε4 might be a risk factor for AD. |
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However, relatively little research has specifically explored the properties of the metabolic network in apolipoprotein E (APOE) ε4 allele carriers. In our study, all the subjects, including ADs, MCIs and NCs (normal controls) were divided into 165 APOE ε4 carriers and 165 APOE ε4 noncarriers. To establish the metabolic network for all brain regions except the cerebellum, cerebral glucose metabolism data obtained from FDG-PET (18F-fluorodeoxyglucose positron emission tomography) were segmented into 90 areas with automated anatomical labeling (AAL) template. Then, the properties of the networks were computed to explore the between-group differences. Our results suggested that both APOE ε4 carriers and noncarriers showed the small-world properties. Besides, compared with APOE ε4 noncarriers, the carriers showed a lower clustering coefficient. In addition, significant changes in 6 hub brain regions were found in between-group nodal centrality. Namely, compared with APOE ε4 noncarriers, significant decreases of the nodal centrality were found in left insula, right insula, right anterior cingulate, right paracingulate gyri, left cuneus, as well as significant increases in left paracentral lobule and left heschl gyrus in APOE ε4 carriers. Increased local short distance interregional correlations and disrupted long distance interregional correlations were found, which may support the point that the APOE ε4 carriers were more similar with AD or MCI in FDG uptake. In summary, the organization of metabolic network in APOE ε4 carriers indicated a less optimal pattern and APOE ε4 might be a risk factor for AD.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0132300</identifier><identifier>PMID: 26161964</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Aged ; Aged, 80 and over ; Aging ; Alleles ; Alzheimer's disease ; Alzheimers disease ; Apolipoprotein E ; Apolipoprotein E4 - genetics ; Apolipoproteins ; Architectural engineering ; Brain ; Brain - diagnostic imaging ; Brain - metabolism ; Brain Mapping ; Carriers ; Cerebellum ; Cluster Analysis ; Clustering ; Cognitive ability ; Connectivity ; Correlation ; Engineering ; Female ; Fluorodeoxyglucose F18 ; Glucose ; Glucose metabolism ; Graph theory ; Heterozygote ; Humans ; Information science ; Male ; Medical imaging ; Memory ; Metabolic networks ; Metabolic Networks and Pathways ; Metabolism ; Middle Aged ; Morphology ; Network analysis ; Neurodegenerative diseases ; NMR ; Nuclear magnetic resonance ; Older people ; Positron emission ; Positron emission tomography ; Properties (attributes) ; Risk factors ; Science ; Tomography</subject><ispartof>PloS one, 2015-07, Vol.10 (7), p.e0132300-e0132300</ispartof><rights>2015 Yao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2015 Yao et al 2015 Yao et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4410-205ffec421496f44d57cd95587296d7d059c327d2943a146006d73b98d80f9383</citedby><cites>FETCH-LOGICAL-c4410-205ffec421496f44d57cd95587296d7d059c327d2943a146006d73b98d80f9383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498596/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498596/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26161964$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>He, Yong</contributor><creatorcontrib>Yao, Zhijun</creatorcontrib><creatorcontrib>Hu, Bin</creatorcontrib><creatorcontrib>Zheng, Jiaxiang</creatorcontrib><creatorcontrib>Zheng, Weihao</creatorcontrib><creatorcontrib>Chen, Xuejiao</creatorcontrib><creatorcontrib>Gao, Xiang</creatorcontrib><creatorcontrib>Xie, Yuanwei</creatorcontrib><creatorcontrib>Fang, Lei</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Recently, some studies have applied the graph theory in brain network analysis in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). However, relatively little research has specifically explored the properties of the metabolic network in apolipoprotein E (APOE) ε4 allele carriers. In our study, all the subjects, including ADs, MCIs and NCs (normal controls) were divided into 165 APOE ε4 carriers and 165 APOE ε4 noncarriers. To establish the metabolic network for all brain regions except the cerebellum, cerebral glucose metabolism data obtained from FDG-PET (18F-fluorodeoxyglucose positron emission tomography) were segmented into 90 areas with automated anatomical labeling (AAL) template. Then, the properties of the networks were computed to explore the between-group differences. Our results suggested that both APOE ε4 carriers and noncarriers showed the small-world properties. Besides, compared with APOE ε4 noncarriers, the carriers showed a lower clustering coefficient. In addition, significant changes in 6 hub brain regions were found in between-group nodal centrality. Namely, compared with APOE ε4 noncarriers, significant decreases of the nodal centrality were found in left insula, right insula, right anterior cingulate, right paracingulate gyri, left cuneus, as well as significant increases in left paracentral lobule and left heschl gyrus in APOE ε4 carriers. Increased local short distance interregional correlations and disrupted long distance interregional correlations were found, which may support the point that the APOE ε4 carriers were more similar with AD or MCI in FDG uptake. In summary, the organization of metabolic network in APOE ε4 carriers indicated a less optimal pattern and APOE ε4 might be a risk factor for AD.</description><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Alleles</subject><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Apolipoprotein E</subject><subject>Apolipoprotein E4 - genetics</subject><subject>Apolipoproteins</subject><subject>Architectural engineering</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Brain Mapping</subject><subject>Carriers</subject><subject>Cerebellum</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>Cognitive ability</subject><subject>Connectivity</subject><subject>Correlation</subject><subject>Engineering</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Graph theory</subject><subject>Heterozygote</subject><subject>Humans</subject><subject>Information science</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Memory</subject><subject>Metabolic networks</subject><subject>Metabolic Networks and Pathways</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Morphology</subject><subject>Network analysis</subject><subject>Neurodegenerative diseases</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Older people</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Properties (attributes)</subject><subject>Risk 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FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers</title><author>Yao, Zhijun ; Hu, Bin ; Zheng, Jiaxiang ; Zheng, Weihao ; Chen, Xuejiao ; Gao, Xiang ; Xie, Yuanwei ; Fang, Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4410-205ffec421496f44d57cd95587296d7d059c327d2943a146006d73b98d80f9383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Alleles</topic><topic>Alzheimer's disease</topic><topic>Alzheimers disease</topic><topic>Apolipoprotein E</topic><topic>Apolipoprotein E4 - genetics</topic><topic>Apolipoproteins</topic><topic>Architectural engineering</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - metabolism</topic><topic>Brain Mapping</topic><topic>Carriers</topic><topic>Cerebellum</topic><topic>Cluster Analysis</topic><topic>Clustering</topic><topic>Cognitive ability</topic><topic>Connectivity</topic><topic>Correlation</topic><topic>Engineering</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Graph theory</topic><topic>Heterozygote</topic><topic>Humans</topic><topic>Information science</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Memory</topic><topic>Metabolic networks</topic><topic>Metabolic Networks and Pathways</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Morphology</topic><topic>Network analysis</topic><topic>Neurodegenerative diseases</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Older people</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Properties (attributes)</topic><topic>Risk 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yao, Zhijun</au><au>Hu, Bin</au><au>Zheng, Jiaxiang</au><au>Zheng, Weihao</au><au>Chen, Xuejiao</au><au>Gao, Xiang</au><au>Xie, Yuanwei</au><au>Fang, Lei</au><au>He, Yong</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-07-10</date><risdate>2015</risdate><volume>10</volume><issue>7</issue><spage>e0132300</spage><epage>e0132300</epage><pages>e0132300-e0132300</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Recently, some studies have applied the graph theory in brain network analysis in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). However, relatively little research has specifically explored the properties of the metabolic network in apolipoprotein E (APOE) ε4 allele carriers. In our study, all the subjects, including ADs, MCIs and NCs (normal controls) were divided into 165 APOE ε4 carriers and 165 APOE ε4 noncarriers. To establish the metabolic network for all brain regions except the cerebellum, cerebral glucose metabolism data obtained from FDG-PET (18F-fluorodeoxyglucose positron emission tomography) were segmented into 90 areas with automated anatomical labeling (AAL) template. Then, the properties of the networks were computed to explore the between-group differences. Our results suggested that both APOE ε4 carriers and noncarriers showed the small-world properties. Besides, compared with APOE ε4 noncarriers, the carriers showed a lower clustering coefficient. In addition, significant changes in 6 hub brain regions were found in between-group nodal centrality. Namely, compared with APOE ε4 noncarriers, significant decreases of the nodal centrality were found in left insula, right insula, right anterior cingulate, right paracingulate gyri, left cuneus, as well as significant increases in left paracentral lobule and left heschl gyrus in APOE ε4 carriers. Increased local short distance interregional correlations and disrupted long distance interregional correlations were found, which may support the point that the APOE ε4 carriers were more similar with AD or MCI in FDG uptake. In summary, the organization of metabolic network in APOE ε4 carriers indicated a less optimal pattern and APOE ε4 might be a risk factor for AD.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26161964</pmid><doi>10.1371/journal.pone.0132300</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age Aged Aged, 80 and over Aging Alleles Alzheimer's disease Alzheimers disease Apolipoprotein E Apolipoprotein E4 - genetics Apolipoproteins Architectural engineering Brain Brain - diagnostic imaging Brain - metabolism Brain Mapping Carriers Cerebellum Cluster Analysis Clustering Cognitive ability Connectivity Correlation Engineering Female Fluorodeoxyglucose F18 Glucose Glucose metabolism Graph theory Heterozygote Humans Information science Male Medical imaging Memory Metabolic networks Metabolic Networks and Pathways Metabolism Middle Aged Morphology Network analysis Neurodegenerative diseases NMR Nuclear magnetic resonance Older people Positron emission Positron emission tomography Properties (attributes) Risk factors Science Tomography |
title | A FDG-PET Study of Metabolic Networks in Apolipoprotein E ε4 Allele Carriers |
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