CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade
Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroima...
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creator | Stricker, Nikki H. Dodge, Hiroko H. Dowling, N. Maritza Han, S. Duke Erosheva, Elena A. Jagust, William J. |
description | Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ
42
and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ
42
would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau
181p
would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau
181p
and Aβ
42
were associated with hippocampal atrophy over time. Neither p-tau
181p
nor Aβ
42
were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ
42
and p-tau
181p
was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms. |
doi_str_mv | 10.1007/s11682-012-9171-6 |
format | Article |
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42
and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ
42
would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau
181p
would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau
181p
and Aβ
42
were associated with hippocampal atrophy over time. Neither p-tau
181p
nor Aβ
42
were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ
42
and p-tau
181p
was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-012-9171-6</identifier><identifier>PMID: 22614327</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE ; Aged ; Aged, 80 and over ; Alzheimer Disease - cerebrospinal fluid ; Alzheimer Disease - pathology ; Alzheimer's disease ; Amyloid beta-Peptides - cerebrospinal fluid ; Biomarkers ; Biomarkers - blood ; Biomedical and Life Sciences ; Biomedicine ; Female ; Hippocampus - metabolism ; Hippocampus - pathology ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Middle Aged ; Neuropsychology ; Neuroradiology ; Neurosciences ; Organ Size ; Parietal Lobe - metabolism ; Parietal Lobe - pathology ; Pathology ; Peptide Fragments - cerebrospinal fluid ; Psychiatry ; Reproducibility of Results ; Sensitivity and Specificity</subject><ispartof>Brain imaging and behavior, 2012-12, Vol.6 (4), p.599-609</ispartof><rights>Springer Science+Business Media, LLC (outside the USA) 2012</rights><rights>Springer Science+Business Media New York 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</citedby><cites>FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11682-012-9171-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11682-012-9171-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22614327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stricker, Nikki H.</creatorcontrib><creatorcontrib>Dodge, Hiroko H.</creatorcontrib><creatorcontrib>Dowling, N. Maritza</creatorcontrib><creatorcontrib>Han, S. Duke</creatorcontrib><creatorcontrib>Erosheva, Elena A.</creatorcontrib><creatorcontrib>Jagust, William J.</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ
42
and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ
42
would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau
181p
would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau
181p
and Aβ
42
were associated with hippocampal atrophy over time. Neither p-tau
181p
nor Aβ
42
were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ
42
and p-tau
181p
was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</description><subject>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - cerebrospinal fluid</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer's disease</subject><subject>Amyloid beta-Peptides - cerebrospinal fluid</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Female</subject><subject>Hippocampus - metabolism</subject><subject>Hippocampus - pathology</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Organ Size</subject><subject>Parietal Lobe - metabolism</subject><subject>Parietal Lobe - pathology</subject><subject>Pathology</subject><subject>Peptide Fragments - cerebrospinal fluid</subject><subject>Psychiatry</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFksFu1DAQhiMEoqXwAFyQJS5cAnYc2wkHpGpFC1IlDsDZmnUmG7eOHeykFZx4AR6A1-uT4NUuq4KEONnSfP5n5vdfFE8ZfckoVa8SY7KpSsqqsmWKlfJeccxazkolpLh_uAt1VDxK6ZJSUTcte1gcVZVkNa_UcfFj9fGMrG0YIV5hJJBSMBZmG3wiN3YeiBnAb5BYTwY7TcHAOIEj18EtIxLwHZkimsXjksg8WHPlMaXXxI6Ts2av04eYa0hO3bcB7Yjx9vvPRCaYh-DCJmOOGEgGOnxcPOjBJXyyP0-Kz2dvP63elRcfzt-vTi9KIyifS6TSgDBG9KbmphGyA6OgXgOXbY-gukZJ3tfMNLRG0VVr0bVdC9CpBiQyyU-KNzvdaVmP2Bn0cwSnp2izD191AKv_rHg76E241lxmZynPAi_2AjF8WTDNerTJoHPgMSxJZ3dryjgT8v9o1YhaVkxtVZ__hV6GJfrsRKZUbitYs6XYjjIxpBSxP8zNqN7mQu9yoXMu9DYXejvEs7sLH178DkIGqh2Qcil_eLzT-p-qvwDet8gt</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Stricker, Nikki H.</creator><creator>Dodge, Hiroko H.</creator><creator>Dowling, N. Maritza</creator><creator>Han, S. Duke</creator><creator>Erosheva, Elena A.</creator><creator>Jagust, William J.</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20121201</creationdate><title>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</title><author>Stricker, Nikki H. ; Dodge, Hiroko H. ; Dowling, N. Maritza ; Han, S. Duke ; Erosheva, Elena A. ; Jagust, William J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - cerebrospinal fluid</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer's disease</topic><topic>Amyloid beta-Peptides - cerebrospinal fluid</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Female</topic><topic>Hippocampus - metabolism</topic><topic>Hippocampus - pathology</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Organ Size</topic><topic>Parietal Lobe - metabolism</topic><topic>Parietal Lobe - pathology</topic><topic>Pathology</topic><topic>Peptide Fragments - cerebrospinal fluid</topic><topic>Psychiatry</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stricker, Nikki H.</creatorcontrib><creatorcontrib>Dodge, Hiroko H.</creatorcontrib><creatorcontrib>Dowling, N. Maritza</creatorcontrib><creatorcontrib>Han, S. Duke</creatorcontrib><creatorcontrib>Erosheva, Elena A.</creatorcontrib><creatorcontrib>Jagust, William J.</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stricker, Nikki H.</au><au>Dodge, Hiroko H.</au><au>Dowling, N. Maritza</au><au>Han, S. Duke</au><au>Erosheva, Elena A.</au><au>Jagust, William J.</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><aucorp>for the Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2012-12-01</date><risdate>2012</risdate><volume>6</volume><issue>4</issue><spage>599</spage><epage>609</epage><pages>599-609</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><abstract>Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ
42
and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ
42
would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau
181p
would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau
181p
and Aβ
42
were associated with hippocampal atrophy over time. Neither p-tau
181p
nor Aβ
42
were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ
42
and p-tau
181p
was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>22614327</pmid><doi>10.1007/s11682-012-9171-6</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE Aged Aged, 80 and over Alzheimer Disease - cerebrospinal fluid Alzheimer Disease - pathology Alzheimer's disease Amyloid beta-Peptides - cerebrospinal fluid Biomarkers Biomarkers - blood Biomedical and Life Sciences Biomedicine Female Hippocampus - metabolism Hippocampus - pathology Humans Magnetic Resonance Imaging - methods Male Medical imaging Middle Aged Neuropsychology Neuroradiology Neurosciences Organ Size Parietal Lobe - metabolism Parietal Lobe - pathology Pathology Peptide Fragments - cerebrospinal fluid Psychiatry Reproducibility of Results Sensitivity and Specificity |
title | CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade |
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