Cited by 518Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchNeuroinflammation and Neurodegeneration Mechanisms

Current state of Alzheimer’s fluid biomarkers

Open access
Molinuevo, José Luis, Ayton, Scott, Batrla, Richard, Bednar, Martin M., Bittner, Tobias, Cummings, Jeffrey, Fagan, Anne M., Hampel, Harald +11 more·2018·Acta Neuropathologica

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disease with a complex and heterogeneous pathophysiology. The number of people living with AD is predicted to increase; however, there are no disease-modifying therapies currently available and none have been successful in late-stage clinical trials. Fluid biomarkers measured in cerebrospinal fluid (CSF) or blood hold promise for enabling more effective drug development and establishing a more personalized medicine approach for AD diagnosis and treatment. Biomarkers used in drug development programmes should be qualified for a specific context of use (COU). These COUs include, but are not limited to, subject/patient selection, assessment of disease state and/or prognosis, assessment of mechanism of action, dose optimization, drug response monitoring, efficacy maximization, and toxicity/adverse reactions identification and minimization. The core AD CSF biomarkers Aβ42, t-tau, and p-tau are recognized by research guidelines for their diagnostic utility and are being considered for qualification for subject selection in clinical trials. However, there is a need to better understand their potential for other COUs, as well as identify additional fluid biomarkers reflecting other aspects of AD pathophysiology. Several novel fluid biomarkers have been proposed, but their role in AD pathology and their use as AD biomarkers have yet to be validated. In this review, we summarize some of the pathological mechanisms implicated in the sporadic AD and highlight the data for several established and novel fluid biomarkers (including BACE1, TREM2, YKL-40, IP-10, neurogranin, SNAP-25, synaptotagmin, α-synuclein, TDP-43, ferritin, VILIP-1, and NF-L) associated with each mechanism. We discuss the potential COUs for each biomarker.

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  • CSF interacts directly with the CNS extracellular space and can offer a representative picture of CNS pathologies.

    “CSF biomarkers are used because CSF interacts directly with the CNS extracellular space and can thus offer a representative picture of CNS pathologies. 4”
  • The across-tissue correlation for YKL-40 was not affected by disease status.

    “and the across‐tissue correlation for YKL‐40 was not affected by disease status. 4”

    From A genetic and proteomic comparison of key AD biomarkers across tissues (2024) · cites this paper as [4]

    The Inflammation/glial activation section discusses YKL-40 levels in CSF and plasma, but does not report a correlation between the two or test whether disease status affects it. Searches for the across-tissue correlation and for a CSF–plasma YKL-40 correlation found no passage addressing that claim. (LLM, conf=0.73)

    Experimental — accuracy not yet measured
  • This underrepresentation likely reflects neuronal loss in Alzheimer's disease and is consistent with NEFL as a cerebrospinal fluid biomarker.

    “likely reflecting neuronal loss associated with AD and consistent with NEFL being identified as an AD biomarker in the cerebrospinal fluid (CSF)26”
  • SORL1 polymorphisms have been linked to Alzheimer's disease susceptibility, and CHI3L1 is a prognostic fluid biomarker for preclinical Alzheimer's disease.

    “SORL1 polymorphisms have been linked to susceptibility to AD28 and CHI3L1 is a prognostic fluid biomarker for preclinical AD26”
  • BACE1 biomarkers are associated with other core CSF and neuroimaging AD biomarkers and with APOE ε4 allele presence.

    “Some studies also showed an association between BACE1 biomarkers and other core CSF and neuroimaging biomarkers of AD as well as the presence of apolipoprotein E (APOE) ε4 allele (79–85).”

    From The β-Secretase BACE1 in Alzheimer’s Disease (2021) · cites this paper as [85]

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References 405 · Cited by 518

Research works printed but not linked: 13

  1. [92]Ferretti M Lulita M Cavedo E Chiesa P Schumacher Dimech A Chadha Santuccione A Sex-specific phenotypes of Alzheimer’s disease: the gateway to precision neurology Nat Rev Neurol 2018 14 457 469 10.1038/s41582-018-0032-9 29985474 · DOI · Paper page
  2. [95]Food and Drug Administration (2011) Guidance for industry—E16 biomarkers related to drug or biotechnology product development: context, structure, and format of qualification submissions. https://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm267449.pdf 21834216
  3. [161]Janelidze S Zetterberg H Mattsson N Palmqvist S Vanderstichele H Lindberg O CSF Aβ42/Aβ40 and Aβ42/Aβ38 ratios: better diagnostic markers of Alzheimer disease Ann Clin Transl Neurol 2016 3 154 165 10.1002/acn3.274 27042676 PMC4774260 · DOI · Paper page
  4. [167]Kamat PK Kalani A Rai S Swarnkar S Tota S Nath C Mechanism of oxidative stress and synapse dysfunction in the pathogenesis of Alzheimer’s disease: understanding the therapeutics strategies Mol Neurobiol 2016 53 648 661 10.1007/s12035-014-9053-6 25511446 PMC4470891 · DOI
  5. [203]Leverenz JB Fishel MA Peskind ER Montine TJ Nochlin D Steinbart E Lewy body pathology in familial Alzheimer disease: evidence for disease- and mutation-specific pathologic phenotype Arch Neurol 2006 63 370 376 10.1001/archneur.63.3.370 16533963 PMC1892620 · DOI · Paper page
  6. [228]Lu CH Macdonald-Wallis C Gray E Pearce N Petzold A Norgren N Neurofilament light chain: a prognostic biomarker in amyotrophic lateral sclerosis Neurology 2015 84 2247 2257 10.1212/WNL.0000000000001642 25934855 PMC4456658 · DOI · Paper page
  7. [274]Palmqvist S, Janelidze S, Stromrud E, Zetterberg H, Karl J, Mattsson N et al (2018) Detecting brain amyloid status using fully automated plasma Aβ biomarker assays. Abstract presented at the Alzheimer’s Association International Conference (AAIC) 2018. Chicago (22–26 July 2018)
  8. [289]Portelius E Price E Brinkmalm G Stiteler M Olsson M Persson R A novel pathway for amyloid precursor protein processing Neurobiol Aging 2011 32 1090 1098 10.1016/j.neurobiolaging.2009.06.002 19604603 · DOI
  9. [295]Reiman EM Alzheimer disease in 2016: putting AD treatments and biomarkers to the test Nat Rev Neurol 2017 13 74 76 10.1038/nrneurol.2017.1 28084326 · DOI
  10. [336]Skillbäck T Rosén C Asztely F Mattsson N Blennow K Zetterberg H Diagnostic performance of cerebrospinal fluid total tau and phosphorylated tau in Creutzfeldt-Jakob disease: results from the Swedish Mortality Registry JAMA Neurol 2014 71 476 483 10.1001/jamaneurol.2013.6455 24566866 · DOI · Paper page
  11. [360]The Ronald and Nancy Reagan Research Institute of the Alzheimer’s Association and the National Institute on Aging Working Group (1998) Consensus report of the working group on: “Molecular and biochemical markers of Alzheimer’s disease”. Neurobiol Aging 19:109–116 9558143
  12. [385]Weston PSJ Poole T Ryan NS Nair A Liang Y Macpherson K Serum neurofilament light in familial Alzheimer disease: a marker of early neurodegeneration Neurology 2017 89 21 2167 2175 10.1212/WNL.0000000000004667 29070659 PMC5696646 · DOI · Paper page
  13. [400]Yuan P Condello C Keene CD Wang Y Bird TD Paul SM TREM2 haplodeficiency in mice and humans impairs the microglia barrier function leading to decreased amyloid compaction and severe axonal dystrophy Neuron 2016 92 252 264 10.1016/j.neuron.2016.09.016 27710785 · DOI · Paper page

Authors
Molinuevo, J. L., Ayton, S., Batrla, R., Bednar, M. M., Bittner, T., Cummings, J., Fagan, A. M., Hampel, H., Mielke, M. M., Mikulskis, A., O’Bryant, S., Scheltens, P., Sevigny, J., Shaw, L. M., Soares, H. D., Tong, G., Trojanowski, J. Q., Zetterberg, H., & Blennow, K.
Affiliations
  • The University of Melbourne (AU)
  • F. Hoffmann-La Roche AG (CH)
  • Takeda (United States) (US)
  • Cleveland Clinic (US)
  • Washington University in St. Louis (US)
  • Centre National de la Recherche Scientifique (FR)
  • Mayo Clinic (US)
  • Biogen (United States) (US)
  • University of North Texas Health Science Center (US)
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • University of Pennsylvania (US)
  • AbbVie (United States) (US)
  • Lundbeck (United States) (US)
  • Sahlgrenska University Hospital (SE)
Corresponding author
Blennow, Kaj
Venue
Acta Neuropathologica
Published
2018-11-28
Volume
136
Issue
6
Pages
821-853
ISSN
  • 0001-6322 (ISSN-L)
  • 1432-0533
OpenAlex
W2902155257
Cited by
518
References
405
Citations by year
2026: 27 · 2025: 48 · 2024: 57 · 2023: 69 · 2022: 59 · 2021: 115 · 2020: 85 · 2019: 58
FWCI
8.49
Type
journal article
Language
en
Open access
Locations
  • Acta Neuropathologica (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, cc-by)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • UCL Discovery (University College London) (submittedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
Roche Diagnostics International
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
Alzheimer's disease, fluid biomarkers, cerebrospinal fluid biomarkers, blood biomarkers, amyloid-beta 42, tau phosphorylation, total tau, context of use, disease-modifying therapy, BACE1, TREM2, YKL-40, CXCL10, neurogranin, SNAP-25, synaptotagmin, alpha-synuclein, TDP-43, ferritin, VILIP-1, neurofilament light chain
MeSH terms
Alzheimer Disease, Humans, Biomarkers

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