The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Open accessAbstract
Objective: Develop a cerebrospinal fluid biomarker signature for mild Alzheimer's disease (AD) in Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects. Methods: Amyloid‐β 1 to 42 peptide (Aβ 1–42), total tau (t‐tau), and tau phosphorylated at the threonine 181 were measured in (1) cerebrospinal fluid (CSF) samples obtained during baseline evaluation of 100 mild AD, 196 mild cognitive impairment, and 114 elderly cognitively normal (NC) subjects in ADNI; and (2) independent 56 autopsy‐confirmed AD cases and 52 age‐matched elderly NCs using a multiplex immunoassay. Detection of an AD CSF profile for t‐tau and Aβ 1–42 in ADNI subjects was achieved using receiver operating characteristic cut points and logistic regression models derived from the autopsy‐confirmed CSF data. Results: CSF Aβ 1–42 was the most sensitive biomarker for AD in the autopsy cohort of CSF samples: receiver operating characteristic area under the curve of 0.913 and sensitivity for AD detection of 96.4%. In the ADNI cohort, a logistic regression model for Aβ 1–42, t‐tau, and APO ε 4 allele count provided the best assessment delineation of mild AD. An AD‐like baseline CSF profile for t‐tau/Aβ 1–42 was detected in 33 of 37 ADNI mild cognitive impairment subjects who converted to probable AD during the first year of the study. Interpretation: The CSF biomarker signature of AD defined by Aβ 1–42 and t‐tau in the autopsy‐confirmed AD cohort and confirmed in the cohort followed in ADNI for 12 months detects mild AD in a large, multisite, prospective clinical investigation, and this signature appears to predict conversion from mild cognitive impairment to AD. Ann Neurol 2009
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A preponderance of evidence supports the interpretation that PIB uptake and CSF Aβ42 are reliable surrogate markers of amyloid plaque pathology in living subjects (15-19).”
From Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance (2011) · cites this paper as [17]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Increased concentrations of extracellular soluble phosphorylated tau (p-tau) and total tau (t-tau) constitute a reliable index of this intracellular process in mild cognitive impairment due to AD2,3 and AD dementia.2,4”
From Cerebrospinal fluid p-tau231 as an early indicator of emerging pathology in Alzheimer's disease (2022) · cites this paper as [4]
Experimental — accuracy not yet measuredIn the citing paper
“Abnormal CSF Aβ42 values were defined using the previously established cut-off of <192 ng/L57–59.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [57]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700
Self-citationCSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291
Self-citationMueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2005.06.003 · Cited by 1,233
Self-citationFagan, A. M., Roe, C. M., Xiong, C., Mintun, M. A., Morris, J. C., & Holtzman, D. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.3.noc60123 · Cited by 897
Cell biology of protein misfolding: the examples of Alzheimer's and Parkinson's diseases
Selkoe, D. J. (2004) · Nature Cell Biology · doi:10.1038/ncb1104-1054 · Cited by 863
Consensus Report of the Working Group on: “Molecular and Biochemical Markers of Alzheimer’s Disease”
The Ronald and Nancy Reagan Research Institute of the Alzheimer’s Association and, & National Institute on Aging Working Group (1998) · Neurobiology of Aging · doi:10.1016/s0197-4580(98)00022-0 · Cited by 719
Neurodegenerative diseases: a decade of discoveries paves the way for therapeutic breakthroughs
Forman, M. S., Trojanowski, J. Q., & Lee, V. M.-Y. (2004) · Nature Medicine · doi:10.1038/nm1113 · Cited by 715
Self-citationSunderland, T., Linker, G., Mirza, N., Putnam, K. T., Friedman, D. L., Kimmel, L. H., Bergeson, J., Manetti, G. J., Zimmermann, M., Tang, B., et al. (2003) · JAMA · doi:10.1001/jama.289.16.2094 · Cited by 656
Frontotemporal dementia: Clinicopathological correlations
Forman, M. S., Farmer, J., Johnson, J. K., Clark, C. M., Arnold, S. E., Coslett, H. B., Chatterjee, A., Hurtig, H. I., Karlawish, J. H., Rosen, H. J., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20873 · Cited by 478
Self-citationGalasko, D., Chang, L., Motter, R., Clark, C. M., Kaye, J., Knopman, D., Thomas, R., Kholodenko, D., Schenk, D., Lieberburg, I., et al. (1998) · Archives of Neurology · doi:10.1001/archneur.55.7.937 · Cited by 442
Self-citation
Research works printed but not linked: 1
- 10.1016/S1474-4422(03)00530-1 · DOI · Paper page
Cited by
Sorted by citations
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
“Markers of tau accumulation include CSF measures of increased total tau or phosphorylated-tau (p-tau) [14–16].”
BackgroundAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Self-citationSperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Self-citationSensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Self-citation
Metadata
- Authors
- Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., Dean, R., Siemers, E., Potter, W., Lee, V. M. ‐., Trojanowski, J. Q., & Initiative, A. D. N.
- Affiliations
- University of Pennsylvania (US)
- Fujirebio (Belgium) (BE)
- University of California San Diego (US)
- Mayo Clinic (US)
- University of Gothenburg (SE)
- Pfizer (United States) (US)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Eli Lilly (United States) (US)
- Corresponding author
- Shaw, Leslie M.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2009-04
- Volume
- 65
- Issue
- 4
- Pages
- 403-413
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC2696350
- OpenAlex
- W2008301592
- Cited by
- 2,065
- References
- 31
- Citations by year
- 2026: 59 · 2025: 82 · 2024: 110 · 2023: 89 · 2022: 114 · 2021: 125 · 2020: 136 · 2019: 141 · 2018: 129 · 2017: 135 · 2016: 121 · 2015: 146 · 2014: 131 · 2013: 130 · 2012: 136
- FWCI
- 85.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- University of Pennsylvania
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904, AG 024904, P30AG010124, AG-10124, U19AG010483, U19AG024904)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Clinical Neurology › Cerebrospinal fluid and hydrocephalus
- Keywords
- Alzheimer's disease, cerebrospinal fluid biomarkers, amyloid-beta 42, total tau, mild cognitive impairment, conversion to Alzheimer's disease, APOE ε4, Alzheimer's Disease Neuroimaging Initiative
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cognition Disorders, Diagnostic Imaging, Female, Humans, Male, Middle Aged, Peptide Fragments, Phosphorylation, Retrospective Studies, ROC Curve, Sensitivity and Specificity, Threonine, Cohort Studies, Biomarkers, Amyloid beta-Peptides, tau Proteins, Disease Progression, Statistics, Nonparametric, Area Under Curve, Apolipoprotein E4
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review