Biomarkers for Alzheimer's disease: current status and prospects for the future
Open accessAbstract
Accumulating data from the clinical research support that the core Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers amyloid‐β (Aβ42), total tau (T‐tau), and phosphorylated tau (P‐tau) reflect key elements of AD pathophysiology. Importantly, a large number of clinical studies very consistently show that these biomarkers contribute with diagnostically relevant information, also in the early disease stages. Recent technical developments have made it possible to measure these biomarkers using fully automated assays with high precision and stability. Standardization efforts have given certified reference materials for CSF Aβ42, with the aim to harmonize results between assay formats that would allow for uniform global reference limits and cut‐off values. These encouraging developments have led to that the core AD CSF biomarkers have a central position in the novel diagnostic criteria for the disease and in the recent National Institute on Aging and Alzheimer's Association biological definition of AD. Taken together, this progress will likely serve as the basis for a more general introduction of these diagnostic tests in clinical routine practice. However, the heterogeneity of pathology in late‐onset AD calls for an expansion of the AD CSF biomarker toolbox with additional biomarkers reflecting additional aspects of AD pathophysiology. One promising candidate is the synaptic protein neurogranin that seems specific for AD and predicts future rate of cognitive deterioration. Further, recent studies bring hope for easily accessible and cost‐effective screening tools in the early diagnostic evaluation of patients with cognitive problems (and suspected AD) in primary care. In this respect, technical developments with ultrasensitive immunoassays and novel mass spectrometry techniques give promise of biomarkers to monitor brain amyloidosis (the Aβ42/40 or APP669‐711/Aβ42 ratios) and neurodegeneration (tau and neurofilament light proteins) in plasma samples, but future studies are warranted to validate these promising results further.
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Many CSF biomarkers (like Aβ, P-tau, NfL, GFAP) also show promising applications in blood, with advancements in highly sensitive analytical platforms and detection techniques enhancing diagnostic precision and reliability.
“Many CSF biomarkers (like Aβ, P-tau, NfL, GFAP) also show promising applications in blood, with advancements in highly sensitive analytical platforms and detection techniques enhancing diagnostic precision and reliability.368,388,389”
From Recent advances in Alzheimer's disease: Mechanisms, clinical trials and new drug development strategies. (2024) · cites this paper as [389]
The “Blood biomarkers for AD” section says ultrasensitive immunoassays and mass spectrometry offer hope for blood biomarkers, and the sections on plasma Aβ and neurofilament light describe promising results. But the paper does not establish promising blood applications for every biomarker listed: “Tau protein in plasma” says plasma tau was not yet diagnostically useful and blood P-tau required further validation, while the retrieved passages do not discuss blood GFAP. The claim also overstates the paper’s cautious assessment of diagnostic reliability. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA CSF biomarker profile defined by reduced levels of Aβ42 in conjunction with elevated t-tau and p-tau provides a robust biochemical signature for detecting AD pathology and distinguishing it from other neurodegenerative disorders.
“A characteristic biomarker profile, defined by reduced levels of Aβ42 in conjunction with elevated t-tau and p-tau, provides a robust biochemical signature for detecting AD pathology and distinguishing it from other neurodegenerative disorders72,73.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [72]
An ELISA assay called INNOTEST has been used for two decades for quantification of t-tau, p-tau and Aβ42 in CSF, giving a unique 'Alzheimer's CSF profile' where an increased level of t-tau and p-tau is observed with decreased Aβ42 level.
“An ELISA assay called as INNOTEST has been used for two decades for quantification of t-tau, p-tau and Aβ42 in CSF which gives a unique ‘Alzheimer’s CSF profile’ where an increased level of t-tau and p-tau is observed with decreased Aβ42 level [45, 46].”
From Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease (2020) · cites this paper as [45]
Familial Alzheimer's disease is inherited from parents and accounts for <1% of the AD burden.
“Familial Alzheimer's disease is inherited from parents and it currently accounts for < 1% of the AD burden [45].”
From Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease (2020) · cites this paper as [45]
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Clinical Chemistry and Laboratory Medicine: an appreciation
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Price (1999) · doi:10.1002/1531-8249(199903)45:3
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Research works printed but not linked: 2
- Janelidze S, Zetterberg H, Mattsson N et al. CSF Abeta42/ Abeta40 and Abeta42/Abeta38 ratios: better diagnostic markers of Alzheimer disease. Ann Clin Transl Neurol 2016; 3: 154-65.
- Kester MI, Teunissen CE, Crimmins DL et al. Neurogranin, a CSF biomarker for synaptic loss, predicts decline to symp- tomatic Alzheimer disease. JAMA Neurol 2015; 72: 1275- 80. 131
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Biomarkers for neurodegenerative diseases
Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159 · see citing works
Zhang, J., Zhang, Y., Wang, J., Xia, Y., Zhang, J., & Chen, L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01911-3 · Cited by 1,138 · see citing works
Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease
Khan, S., Barve, K. H., & Kumar, M. S. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666200528142429 · Cited by 820 · see citing works
“An ELISA assay called as INNOTEST has been used for two decades for quantification of t-tau, p-tau and Aβ42 in CSF which gives a unique ‘Alzheimer’s CSF profile’ where an increased level of t-tau and p-tau is observed with decreased Aβ42 level [45, 46].”
BackgroundMethodPlasma p-tau231: a new biomarker for incipient Alzheimer’s disease pathology.
Ashton, N. J., Pascoal, T. A., Karikari, T. K., Benedet, A. L., Lantero-Rodriguez, J., Brinkmalm, G., Snellman, A., Schöll, M., Troakes, C., Hye, A., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02275-6 · Cited by 719 · see citing works
Self-citationTREM2 regulates microglial cholesterol metabolism upon chronic phagocytic challenge
Nugent, A. A., Lin, K., van Lengerich, B., Lianoglou, S., Przybyla, L., Davis, S. S., Llapashtica, C., Wang, J., Kim, D. J., Xia, D., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.007 · Cited by 745 · see citing works
A multicentre validation study of the diagnostic value of plasma neurofilament light.
Ashton, N. J., Janelidze, S., Al Khleifat, A., Leuzy, A., van der Ende, E. L., Karikari, T. K., Benedet, A. L., Pascoal, T. A., Lleó, A., Parnetti, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23620-z · Cited by 545 · see citing works
Self-citationChételat, G., Arbizu, J., Barthel, H., Garibotto, V., Law, I., Morbelli, S., van de Giessen, E., Agosta, F., Barkhof, F., Brooks, D. J., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30314-8 · Cited by 526 · see citing works
Self-citationBlood biomarkers for Alzheimer’s disease in clinical practice and trials
Hansson, O., Blennow, K., Zetterberg, H., & Dage, J. (2023) · Nature Aging · doi:10.1038/s43587-023-00403-3 · Cited by 522 · see citing works
Self-citationThe inter-relationship between delirium and dementia: the importance of delirium prevention
Fong, T. G., & Inouye, S. K. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00698-7 · Cited by 404 · see citing works
El-Sappagh, S., Alonso, J. M., Islam, S. M. R., Sultan, A. M., & Kwak, K. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-82098-3 · Cited by 363 · see citing works
“This is in accordance with the fact that medically, Amyloid β, PTAU, and TAU are critical biomarkers to monitor the progression of AD 46–51 .”
MethodResultThe Microbiota–Gut–Brain Axis and Alzheimer’s Disease: Neuroinflammation Is to Blame?
Megur, A., Baltriukienė, D., Bukelskienė, V., & Burokas, A. (2020) · Nutrients · doi:10.3390/nu13010037 · Cited by 323 · see citing works
Alzheimer’s Disease: Key Insights from Two Decades of Clinical Trial Failures
Kim, C. K., Lee, Y. R., Ong, L., Gold, M., Kalali, A., & Sarkar, J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215699 · Cited by 241 · see citing works
New Approaches for the Treatment of Alzheimer’s Disease
Fish, P. V., Steadman, D., Bayle, E. D., & Whiting, P. (2019) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2018.11.034 · Cited by 189 · see citing works
Biomarkers used in Alzheimer’s disease diagnosis, treatment, and prevention
Mahaman, Y. A. R., Embaye, K. S., Huang, F., Li, L., Zhu, F., Wang, J.-Z., Liu, R., Feng, J., & Wang, X. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101544 · Cited by 149 · see citing works
Gómez de San José, N., Massa, F., Halbgebauer, S., Oeckl, P., Steinacker, P., & Otto, M. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-021-02411-2 · Cited by 112 · see citing works
Rojas, J. C., Wang, P., Staffaroni, A. M., Heller, C., Cobigo, Y., Wolf, A., Goh, S.-Y. M., Ljubenkov, P. A., Heuer, H. W., Fong, J. C., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000011848 · Cited by 106 · see citing works
Li, H., Liu, C.-C., Zheng, H., & Huang, T. Y. (2018) · Translational Neurodegeneration · doi:10.1186/s40035-018-0139-3 · Cited by 103 · see citing works
Gleason, C. E., Zuelsdorff, M., Gooding, D. C., Kind, A. J. H., Johnson, A. L., James, T. T., Lambrou, N. H., Wyman, M. F., Ketchum, F. B., Gee, A., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12511 · Cited by 104 · see citing works
Self-citationZhou, M., Haque, R. U., Dammer, E. B., Duong, D. M., Ping, L., Johnson, E. C. B., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2020) · Clinical Proteomics · doi:10.1186/s12014-020-09285-8 · Cited by 92 · see citing works
Ren, F., Wei, J., Chen, Q., Hu, M., Yu, L., Mi, J., Zhou, X., Qin, D., Wu, J., & Wu, A. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.07.030 · Cited by 97 · see citing works
Hampel, H., Shaw, L. M., Aisen, P., Chen, C., Lleó, A., Iwatsubo, T., Iwata, A., Yamada, M., Ikeuchi, T., Jia, J., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12372 · Cited by 77 · see citing works
Self-citationSynaptic vesicle protein 2A as a potential biomarker in synaptopathies
Heurling, K., Ashton, N. J., Leuzy, A., Zimmer, E. R., Blennow, K., Zetterberg, H., Eriksson, J., Lubberink, M., & Schöll, M. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2019.02.001 · Cited by 77 · see citing works
Self-citationAssunção, S. S., Sperling, R. A., Ritchie, C., Kerwin, D. R., Aisen, P. S., Lansdall, C., Atri, A., & Cummings, J. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-00984-y · Cited by 71 · see citing works
Sarto, J., Ruiz-García, R., Guillén, N., Ramos-Campoy, Ó., Falgàs, N., Esteller, D., Contador, J., Fernández, G., González, Y., Tort-Merino, A., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000201597 · Cited by 71 · see citing works
Pentz, R., Iulita, M. F., Ducatenzeiler, A., Bennett, D. A., & Cuello, A. C. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0797-2 · Cited by 68 · see citing works
Das, S., Goossens, J., Jacobs, D., Dewit, N., Pijnenburg, Y. A. L., In ‘t Veld, S. G. J. G., Teunissen, C. E., & Vanmechelen, E. (2023) · Alzheimer's Research & Therapy · doi:10.1186/s13195-023-01212-x · Cited by 50 · see citing works
Biomarkers for diseases with TDP-43 pathology
Steinacker, P., Barschke, P., & Otto, M. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.10.003 · Cited by 57 · see citing works
Fink, H. A., Linskens, E. J., Silverman, P. C., McCarten, J. R., Hemmy, L. S., Ouellette, J. M., Greer, N. L., Wilt, T. J., & Butler, M. (2020) · Annals of Internal Medicine · doi:10.7326/m19-3888 · Cited by 57 · see citing works
A Promising Approach: Magnetic Nanosystems for Alzheimer’s Disease Theranostics
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Unveiling the Complex Role of Exosomes in Alzheimer’s Disease
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When the infectious environment meets the AD brain
Ganz, T., Fainstein, N., & Ben-Hur, T. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00559-3 · Cited by 39 · see citing works
Chaudhry, A., & Rizig, M. (2021) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117270 · Cited by 37 · see citing works
Gossye, H., Van Broeckhoven, C., & Engelborghs, S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00757 · Cited by 34 · see citing works
Falgàs, N., Ruiz‐Peris, M., Pérez‐Millan, A., Sala‐Llonch, R., Antonell, A., Balasa, M., Borrego‐Écija, S., Ramos‐Campoy, O., Augé, J. M., Castellví, M., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.24925 · Cited by 32 · see citing works
Self-citationDas, S., Dewit, N., Jacobs, D., Pijnenburg, Y. A. L., In ‘t Veld, S. G. J. G., Coppens, S., Quaglia, M., Hirtz, C., Teunissen, C. E., & Vanmechelen, E. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137221 · Cited by 26 · see citing works
Digital screening for cognitive impairment - a proof of concept study
Bloniecki, V., Hagman, G., Ryden, M., & Kivipelto, M. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.2 · Cited by 21 · see citing works
Glutamate receptor 4 as a fluid biomarker for the diagnosis of psychiatric disorders
Gómez de San José, N., Goossens, J., Al Shweiki, M. R., Halbgebauer, S., Oeckl, P., Steinacker, P., Danzer, K. M., Graf, H., Schönfeldt-Lecuona, C., Belbin, O., et al. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.10.010 · Cited by 9 · see citing works
- Authors
- Blennow, K., & Zetterberg, H.
- Affiliations
- University of Gothenburg (SE)
- Corresponding author
- Blennow, K.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2018-08-19
- Volume
- 284
- Issue
- 6
- Pages
- 643-663
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W2884982789
- Cited by
- 1,000
- References
- 160
- Citations by year
- 2026: 102 · 2025: 158 · 2024: 158 · 2023: 162 · 2022: 148 · 2021: 144 · 2020: 89 · 2019: 32 · 2018: 6
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Internal Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Royal Swedish Academy of Sciences
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Keywords
- Alzheimer's disease, cerebrospinal fluid biomarkers, amyloid-beta 42, total tau, phosphorylated tau, neurogranin, neurofilament light chain, early diagnosis, diagnostic criteria, certified reference materials, cerebral amyloidosis, neurodegeneration, plasma biomarkers, ultrasensitive immunoassay, mass spectrometry, primary care screening, cognitive decline
- MeSH terms
- Alzheimer Disease, Forecasting, Humans, Biomarkers, Amyloid beta-Peptides, tau Proteins, Early Diagnosis
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