» Articles » PMID: 19296504

Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Neuroimaging Initiative Subjects

Abstract

Objective: Develop a cerebrospinal fluid biomarker signature for mild Alzheimer's disease (AD) in Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects.

Methods: Amyloid-beta 1 to 42 peptide (A beta(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 A beta(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 A beta(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 A beta(1-42), t-tau, and APO epsilon 4 allele count provided the best assessment delineation of mild AD. An AD-like baseline CSF profile for t-tau/A beta(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 A beta(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.

Citing Articles

Alzheimer's disease neuropathology and its estimation with fluid and imaging biomarkers.

Thal D, Poesen K, Vandenberghe R, De Meyer S Mol Neurodegener. 2025; 20(1):33.

PMID: 40087672 DOI: 10.1186/s13024-025-00819-y.


Sex Differences in Apolipoprotein E and Alzheimer Disease Pathology Across Ancestries.

Xu X, Kwon J, Yan R, Apio C, Song S, Heo G JAMA Netw Open. 2025; 8(3):e250562.

PMID: 40067298 PMC: 11897841. DOI: 10.1001/jamanetworkopen.2025.0562.


Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease.

Leuzy A, Bollack A, Pellegrino D, Teunissen C, La Joie R, Rabinovici G Alzheimers Dement. 2025; 21(3):e14528.

PMID: 40042435 PMC: 11881640. DOI: 10.1002/alz.14528.


Development of Neurodegenerative Disease Diagnosis and Monitoring from Traditional to Digital Biomarkers.

Song J, Cho E, Lee H, Lee S, Kim S, Kim J Biosensors (Basel). 2025; 15(2).

PMID: 39997004 PMC: 11852611. DOI: 10.3390/bios15020102.


Influence of cognitive impairment and race on plasma p-Tau in two diverse cohorts.

Nayyar A, Li M, Sotelo V, Su G, Hwang I, Kaluzova M Alzheimers Dement. 2025; 21(2):e14585.

PMID: 39988568 PMC: 11847626. DOI: 10.1002/alz.14585.


References
1.
. 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 the National Institute on Aging Working Group. Neurobiol Aging. 1998; 19(2):109-16. View

2.
Shaw L, Korecka M, Clark C, Lee V, Trojanowski J . Biomarkers of neurodegeneration for diagnosis and monitoring therapeutics. Nat Rev Drug Discov. 2007; 6(4):295-303. DOI: 10.1038/nrd2176. View

3.
Skovronsky D, Lee V, Trojanowski J . Neurodegenerative diseases: new concepts of pathogenesis and their therapeutic implications. Annu Rev Pathol. 2007; 1:151-70. DOI: 10.1146/annurev.pathol.1.110304.100113. View

4.
Clark C, Pratico D, Shaw L, Leight S, Xie S, Gu A . Commentary on "Optimal design of clinical trials for drugs designed to slow the course of Alzheimer's disease." Biochemical biomarkers of late-life dementia. Alzheimers Dement. 2009; 2(4):287-93. PMC: 2712892. DOI: 10.1016/j.jalz.2006.05.2347. View

5.
Gustafson D, Skoog I, Rosengren L, Zetterberg H, Blennow K . Cerebrospinal fluid beta-amyloid 1-42 concentration may predict cognitive decline in older women. J Neurol Neurosurg Psychiatry. 2006; 78(5):461-4. PMC: 2117838. DOI: 10.1136/jnnp.2006.100529. View