Diagnosis of Alzheimer’s disease utilizing amyloid and tau as fluid biomarkers
Open accessAbstract
Current technological advancements in clinical and research settings have permitted a more intensive and comprehensive understanding of Alzheimer’s disease (AD). This development in knowledge regarding AD pathogenesis has been implemented to produce disease-modifying drugs. The potential for accessible and effective therapeutic methods has generated a need for detecting this neurodegenerative disorder during early stages of progression because such remedial effects are more profound when implemented during the initial, prolonged prodromal stages of pathogenesis. The aggregation of amyloid-β (Aβ) and tau isoforms are characteristic of AD; thus, they are considered core candidate biomarkers. However, research attempting to establish the reliability of Aβ and tau as biomarkers has culminated in an amalgamation of contradictory results and theories regarding the biomarker concentrations necessary for an accurate diagnosis. In this review, we consider the capabilities and limitations of fluid biomarkers collected from cerebrospinal fluid, blood, and oral, ocular, and olfactory secretions as diagnostic tools for AD, along with the impact of the integration of these biomarkers in clinical settings. Furthermore, the evolution of diagnostic criteria and novel research findings are discussed. This review is a summary and reflection of the ongoing concerted efforts to establish fluid biomarkers as a diagnostic tool and implement them in diagnostic procedures. Markers from body fluids could help clinicians diagnose Alzheimer’s disease before cognitive decline appears. After numerous setbacks in treating advanced Alzheimer’s, researchers are eager to identify biological indicators that facilitate earlier disease detection and interception. A review by YoungSoo Kim and colleagues at Yonsei University in South Korea, explores the promise of ‘fluid biomarkers,’ which enables diagnosis using cerebrospinal fluid (CSF), blood, oral, ocular, and olfactory fluid samples. Shifts in CSF levels of amyloid beta and tau, two proteins central to Alzheimer’s pathology, can reliably monitor at-risk individuals. Although CSF collection is unpleasant for patients, it remains more promising than blood, where current data for candidate fluid biomarkers are relatively inconclusive. In this review, investigations to discover safer, cheaper, and more reliable diagnostic tools to shift treatment from alleviation to prevention are introduced.
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Amyloid pathology typically develops first followed by tau pathology, which correlates with AD progression and cognitive impairment.
“Amyloid pathology typically develops first followed by tau pathology, which correlates with AD progression and cognitive impairment2–4.”
From The R136S mutation in the APOE3 gene confers resilience against tau pathology via inhibition of the cGAS-STING-IFN pathway (2025) · cites this paper as [3]
The Introduction (page unavailable) says amyloid plaques and tau tangles often parallel cognitive impairment, and the Cerebrospinal fluid section treats both as markers of AD progression. The paper does not establish the claimed typical sequence in which amyloid pathology develops before tau pathology. (LLM, conf=0.85)
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Cites
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 · see citing works
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668 · see citing works
Isolation and quantification of soluble Alzheimer's β-peptide from biological fluids
Seubert, P., Vigo-Pelfrey, C., Esch, F., Lee, M., Dovey, H., Davis, D., Sinha, S., Schiossmacher, M., Whaley, J., Swindlehurst, C., et al. (1992) · Nature · doi:10.1038/359325a0 · Cited by 1,731 · see citing works
High performance plasma amyloid-β biomarkers for Alzheimer's disease
Nakamura, A., Kaneko, N., Villemagne, V. L., Kato, T., Doecke, J., Doré, V., Fowler, C., Li, Q.-X., Martins, R., Rowe, C., et al. (2018) · Nature · doi:10.1038/nature25456 · Cited by 1,681 · see citing works
Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease
Gómez‐Isla, T., Hollister, R., West, H., Mui, S., Growdon, J. H., Petersen, R. C., Parisi, J. E., & Hyman, B. T. (1997) · Annals of Neurology · doi:10.1002/ana.410410106 · Cited by 1,489 · see citing works
CSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment
Mattsson, N. (2009) · JAMA · doi:10.1001/jama.2009.1064 · Cited by 1,176 · see citing works
Tapiola, T., Alafuzoff, I., Herukka, S.-K., Parkkinen, L., Hartikainen, P., Soininen, H., & Pirttilä, T. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.596 · Cited by 896 · see citing works
Andreasen, N., Hesse, C., Davidsson, P., Minthon, L., Wallin, A., Winblad, B., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (1999) · Archives of Neurology · doi:10.1001/archneur.56.6.673 · Cited by 660 · see citing works
Buerger, K., Ewers, M., Pirttila, T., Zinkowski, R., Alafuzoff, I., Teipel, S. J., DeBernardis, J., Kerkman, D., McCulloch, C., Soininen, H., et al. (2006) · Brain · doi:10.1093/brain/awl269 · Cited by 586 · see citing works
Ovod, V., Ramsey, K. N., Mawuenyega, K. G., Bollinger, J. G., Hicks, T., Schneider, T., Sullivan, M., Paumier, K., Holtzman, D. M., Morris, J. C., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.06.2266 · Cited by 585 · see citing works
Neocortical Neurofibrillary Tangles Correlate With Dementia Severity in Alzheimer's Disease
Bierer, L. M., Hof, P. R., Purohit, D. P., Carlin, L., Schmeidler, J., Davis, K. L., & Perl, D. P. (1995) · Archives of Neurology · doi:10.1001/archneur.1995.00540250089017 · Cited by 514 · see citing works
Clark, C. M., Xie, S., Chittams, J., Ewbank, D., Peskind, E., Galasko, D., Morris, J. C., McKeel, D. W., Farlow, M., Weitlauf, S. L., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.12.1696 · Cited by 357 · see citing works
Fluid Biomarkers in Alzheimer Disease
Blennow, K., Zetterberg, H., & Fagan, A. M. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006221 · Cited by 208 · see citing works
Combined CSF tau, p-tau181 and amyloid-β 38/40/42 for diagnosing Alzheimer’s disease
Welge, V., Fiege, O., Lewczuk, P., Mollenhauer, B., Esselmann, H., Klafki, H.-W., Wolf, S., Trenkwalder, C., Otto, M., Kornhuber, J., et al. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-008-0177-6 · Cited by 152 · see citing works
Flagged first, then by citations
Research works printed but not linked: 76
- [2]Masters CL Selkoe DJ Biochemistry of amyloid β-protein and amyloid deposits in Alzheimer disease Cold Spring Harb. Perspect. Med. 2012 2 a006262 22675658 PMC3367542
- [3]Weintraub S Wicklund AH Salmon DP The neuropsychological profile of Alzheimer disease Cold Spring Harb. Perspect. Med. 2012 2 a006171 22474609 PMC3312395
- [4]Sperling RA Jack CR Aisen PS Testing the right target and right drug at the right stage Sci. Transl. Med. 2011 3 111cm33 22133718 PMC3752906
- [5]Reitz C Brayne C Mayeux R Epidemiology of Alzheimer disease Nat. Rev. Neurol. 2011 7 137 21304480 PMC3339565
- [8]Johnson, K. A., Fox, N. C., Sperling, R. A. & Klunk, W. E. Brain imaging in Alzheimer disease. Cold Spring Harb. Perspect. Med. 2, a006213 (2012). PMC3312396 22474610
- [10]Fagan AM Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ42 in humans Ann. Neurol. 2006 59 512 16372280
- [11]Grimmer T Beta amyloid in Alzheimer’s disease: increased deposition in brain is reflected in reduced concentration in cerebrospinal fluid Biol. Psychiatry 2009 65 927 19268916 PMC2700302
- [12]Strozyk D Blennow K White LR Launer LJ CSF Aβ 42 levels correlate with amyloid-neuropathology in a population-based autopsy study Neurology 2003 60 652 12601108
- [14]Tolboom N Relationship of cerebrospinal fluid markers to 11C-PiB and 18F-FDDNP binding J. Nucl. Med. 2009 50 1464 19690025
- [15]Janelidze S CSF Aβ42/Aβ40 and Aβ42/Aβ38 ratios: better diagnostic markers of Alzheimer disease Ann. Clin. Transl. Neurol. 2016 3 154 27042676 PMC4774260
- [16]Mehta PD Plasma and cerebrospinal fluid levels of amyloid β proteins 1-40 and 1-42 in alzheimer disease Arch. Neurol. 2000 57 100 10634455
- [17]Hansson O Prediction of Alzheimer’s disease using the CSF Abeta42/Abeta40 ratio in patients with mild cognitive impairment Dement. Geriatr. Cogn. Disord. 2007 23 316 17374949
- [18]Lehmann S Relevance of Aβ42/40 ratio for detection of Alzheimer disease pathology in clinical routine: the PLMR scale Front. Aging Neurosci. 2018 10 138 29892221 PMC5985301
- [19]Baiardi S Antemortem CSF Aβ42/Aβ40 ratio predicts Alzheimer’s disease pathology better than Aβ42 in rapidly progressive dementias Ann. Clin. Transl. Neurol. 2019 6 263 30847359 PMC6389744
- [20]Lewczuk P Cerebrospinal fluid Aβ42/40 corresponds better than Aβ42 to amyloid PET in Alzheimer’s disease J. Alzheimers Dis. 2016 55 813 PMC5147502 27792012
- [21]Lewczuk P Lelental N Spitzer P Maler JM Kornhuber J Amyloid-β 42/40 cerebrospinal fluid concentration ratio in the diagnostics of Alzheimer’s disease: validation of two novel assays J. Alzheimers Dis. 2015 43 183 25079805
- [22]Koychev I Aβ42/Aβ40 and Aβ42/Aβ38 ratios are associated with measures of gait variability and activities of daily living in mild Alzheimer’s disease: a pilot study J. Alzheimers Dis. 2018 65 1377 30198873 PMC6218125
- [24]Wiltfang J Amyloid β peptide ratio 42/40 but not Aβ42 correlates with phospho-Tau in patients with low- and high-CSF Aβ40 load J. Neurochem. 2007 101 1053 17254013
- [25]Adamczuk K Diagnostic value of cerebrospinal fluid Aβ ratios in preclinical Alzheimer’s disease Alzheimers Res. Ther. 2015 7 75 26677842 PMC4683859
- [26]Bibl M Cerebrospinal fluid amyloid-β 2-42 is decreased in Alzheimer’s, but not in frontotemporal dementia J. Neural Transm. 2012 119 805 22527776 PMC3605494
- [27]Blennow K Tau protein in cerebrospinal fluid Mol. Chem. Neuropathol. 1995 26 231 8748926
- [28]Sunderland T Decreased β-amyloid1-42 and increased tau levels in cerebrospinal fluid of patients with Alzheimer disease J. Am. Med. Assoc. 2003 289 2094 12709467
- [31]de Souza LC CSF tau markers are correlated with hippocampal volume in Alzheimer’s disease Neurobiol. Aging 2012 33 1253 21489655
- [32]Hesse C Transient increase in total tau but not phospho-tau in human cerebrospinal fluid after acute stroke Neurosci. Lett. 2001 297 187 11137759
- [33]Öst M Initial CSF total tau correlates with 1-year outcome in patients with traumatic brain injury Neurology 2006 67 1600 17101890
- [34]Ritchie C CSF tau and the CSF tau/ABeta ratio for the diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI) Cochrane Database Syst. Rev. 2017 3 CD010803 28328043 PMC6464349
- [35]Jack JCR Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer’s disease: implications for sequence of pathological events in Alzheimer’s disease Brain 2009 132 1355 19339253 PMC2677798
- [39]Giannakopoulos P Tangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer’s disease Neurology 2003 60 1495 12743238
- [40]Ingelsson M Early Aβ accumulation and progressive synaptic loss, gliosis, and tangle formation in AD brain Neurology 2004 62 925 15037694
- [41]Bouwman FH Longitudinal changes of CSF biomarkers in memory clinic patients Neurology 2007 69 1006 17785669
- [42]Nakamura T Amyloid β protein levels in cerebrospinal fluid are elevated in early-onset Alzheimer’s disease Ann. Neurol. 1994 36 903 7998778
- [43]Beckett LA The Alzheimer’s Disease Neuroimaging Initiative: annual change in biomarkers and clinical outcomes Alzheimers Dement. 2010 6 257 20451874 PMC2867839
- [44]De Leon M Longitudinal CSF and MRI biomarkers improve the diagnosis of mild cognitive impairment Neurobiol. Aging 2006 27 394 16125823
- [45]Kanai M Longitudinal study of cerebrospinal fluid levels of tau, Aβ1–40, and Aβ1–42 (43) in Alzheimer’s disease: a study in Japan Ann. Neurol. 1998 44 17 9667589
- [46]Mollenhauer B Follow-up investigations in cerebrospinal fluid of patients with dementia with lewy bodies and Alzheimer’s disease J. Neural Transm. 2005 112 933 15937638
- [47]Tapiola T Three-year follow-up of cerebrospinal fluid tau, β-amyloid 42 and 40 concentrations in Alzheimer’s disease Neurosci. Lett. 2000 280 119 10686392
- [48]Wahlund LO Blennow K Cerebrospinal fluid biomarkers for disease stage and intensity in cognitively impaired patients Neurosci. Lett. 2003 339 99 12614904
- [49]Andersson C Increasing CSF phospho-tau levels during cognitive decline and progression to dementia Neurobiol. Aging 2008 29 1466 17512092
- [51]Andreasen N Cerebrospinal fluid tau protein as a biochemical marker for Alzheimer’s disease: a community based follow up study J. Neurol. Neurosurg. Psychiatry 1998 64 298 9527138 PMC2170016
- [52]Brys M Prediction and longitudinal study of CSF biomarkers in mild cognitive impairment Neurobiol. Aging 2009 30 682 17889968 PMC2774781
- [53]Höglund K The effect of simvastatin treatment on the amyloid precursor protein and brain cholesterol metabolism in patients with Alzheimer’s disease Dement. Geriatr. Cogn. Disord. 2005 19 256 15785028
- [54]Stomrud E Correlation of longitudinal cerebrospinal fluid biomarkers with cognitive decline in healthy older adults Arch. Neurol. 2010 67 217 20142530
- [55]O’Bryant SE Blood-based biomarkers in Alzheimer disease: current state of the science and a novel collaborative paradigm for advancing from discovery to clinic Alzheimers Dement. 2017 13 45 27870940 PMC5218961
- [56]O’Bryant SE Guidelines for the standardization of preanalytic variables for blood-based biomarker studies in Alzheimer’s disease research Alzheimers Dement. 2015 11 549 25282381 PMC4414664
- [57]van Oijen M Hofman A Soares HD Koudstaal PJ Breteler MMB Plasma Aβ1–40 and Aβ1–42 and the risk of dementia: a prospective case-cohort study Lancet Neurol. 2006 5 655 16857570
- [58]Mayeux R Plasma Aβ40 and Aβ42 and Alzheimer’s disease: relation to age, mortality, and risk Neurology 2003 61 1185 14610118
- [59]Graff-Radford NR Association of low plasma aβ42/aβ40 ratios with increased imminent risk for mild cognitive impairment and alzheimer disease Arch. Neurol. 2007 64 354 17353377
- [60]Sundelöf J Plasma β amyloid and the risk of alzheimer disease and dementia in elderly men: a prospective, population-based cohort study Arch. Neurol. 2008 65 256 18268197
- [61]Pomara N Willoughby LM Sidtis JJ Mehta PD Selective reductions in plasma Abeta 1-42 in healthy elderly subjects during longitudinal follow-up: a preliminary report Am. J. Geriatr. Psychiatry 2005 13 914 16223971
- [62]Hansson O Evaluation of plasma Aβ40 and Aβ42 as predictors of conversion to Alzheimer’s disease in patients with mild cognitive impairment Neurobiol. Aging 2010 31 357 18486992
- [63]Chen M Inestrosa NC Ross GS Fernandez HL Platelets are the primary source of amyloid beta-peptide in human blood Biochem. Biophys. Res. Commun. 1995 213 96 7639768
- [64]DeMattos RB Plaque-associated disruption of CSF and plasma amyloid-β (Aβ) equilibrium in a mouse model of Alzheimer’s disease J. Neurochem. 2002 81 229 12064470
- [66]Yankner BA Mesulam MM β-Amyloid and the pathogenesis of Alzheimer’s disease N. Engl. J. Med. 1991 325 1849 1961223
- [67]Selkoe DJ Normal and abnormal biology of the beta-amyloid precursor protein Annu. Rev. Neurosci. 1994 17 489 8210185
- [68]Kaneko N Novel plasma biomarker surrogating cerebral amyloid deposition Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 2014 90 353 25391320 PMC4324927
- [70]Ray S Classification and prediction of clinical Alzheimer’s diagnosis based on plasma signaling proteins Nat. Med. 2007 13 1359 17934472
- [71]O’Bryant SE A blood-based algorithm for the detection of Alzheimer’s disease Dement. Geriatr. Cogn. Disord. 2011 32 55 21865746 PMC3169374
- [73]Lee M Guo JP Kennedy K McGeer EG McGeer PL A method for diagnosing Alzheimer’s disease based on salivary amyloid-β protein 42 levels Alzheimers Dement. 2017 55 1175 27792013
- [74]Bermejo-Pareja F Antequera D Vargas T Molina JA Carro E Saliva levels of Abeta1-42 as potential biomarker of Alzheimer’s disease: a pilot study BMC Neurol. 2010 10 108 21047401 PMC2987856
- [75]Yilmaz A Diagnostic biomarkers of Alzheimer’s disease as identified in saliva using 1H NMR-based metabolomics J. Alzheimers Dis. 2017 58 355 28453477
- [76]Frederikse PH Garland D Zigler JS Jr. Piatigorsky J Oxidative stress increases production of beta-amyloid precursor protein and beta-amyloid (Abeta) in mammalian lenses, and Abeta has toxic effects on lens epithelial cells J. Biol. Chem. 1996 271 10169 8626578
- [77]Goldstein LE Cytosolic β-amyloid deposition and supranuclear cataracts in lenses from people with Alzheimer’s disease Lancet 2003 361 1258 12699953
- [78]Moncaster JA Alzheimer’s disease amyloid-beta links lens and brain pathology in Down syndrome PLoS ONE 2010 5 e10659 20502642 PMC2873949
- [79]Koronyo Y Salumbides BC Black KL Koronyo-Hamaoui M Alzheimer’s disease in the retina: imaging retinal aβ plaques for early diagnosis and therapy assessment Neurodegener. Dis. 2012 10 285 22343730
- [80]La Morgia C Melanopsin retinal ganglion cell loss in Alzheimer disease Ann. Neurol. 2016 79 90 26505992 PMC4737313
- [81]Koronyo-Hamaoui M Identification of amyloid plaques in retinas from Alzheimer’s patients and noninvasive in vivo optical imaging of retinal plaques in a mouse model NeuroImage 2011 54 S204 20550967 PMC2991559
- [82]Dutescu RM Amyloid precursor protein processing and retinal pathology in mouse models of Alzheimer’s disease Graefes Arch. Clin. Exp. Ophthalmol. 2009 247 1213 19271231
- [83]Koronyo Y Retinal amyloid pathology and proof-of-concept imaging trial in Alzheimer’s disease JCI Insight 2017 2 e93621 PMC5621887 28814675
- [84]Shah T Gupta S Chatterjee P Campbell M Martins R Beta-amyloid sequelae in the eye: a critical review on its diagnostic significance and clinical relevance in Alzheimer’s disease Mol. Psychiatry 2017 22 353 28093567
- [85]Attems J Jellinger KA Olfactory tau pathology in Alzheimer disease and mild cognitive impairment Clin. Neuropathol. 2006 25 265 17140156
- [86]Ohm TG Braak H Olfactory bulb changes in Alzheimer’s disease Acta Neuropathol. 1987 73 365 3618129
- [88]Cho SM Correlations of amyloid-beta concentrations between CSF and plasma in acute Alzheimer mouse model Sci. Rep. 2014 4 6777 25345439 PMC4209448
- [89]Cho SM Age-dependent inverse correlations in CSF and plasma amyloid-beta(1-42) concentrations prior to amyloid plaque deposition in the brain of 3xTg-AD mice Sci. Rep. 2016 6 20185 26830653 PMC4735736
- [90]Shahpasand-Kroner H A two-step immunoassay for the simultaneous assessment of Aβ38, Aβ40 and Aβ42 in human blood plasma supports the Aβ42/Aβ40 ratio as a promising biomarker candidate of Alzheimer’s disease Alzheimers Res. Ther. 2018 10 121 30526652 PMC6286509
- [92]Figueira J NMR analysis of the human saliva metabolome distinguishes dementia patients from matched controls Mol. Biosyst. 2016 12 2562 2571 27265744
- [93]Kerbage C Detection of Amyloid β signature in the lens and its correlation in the brain to aid in the diagnosis of Alzheimer’s disease Am. J. Alzheimers Dis. 2015 30 738 745 PMC10852881 24526759
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- Authors
- Lee, J. C., Kim, S. J., Hong, S., & Kim, Y.
- Affiliations
- Yonsei University (KR)
- University of Wisconsin–Madison (US)
- Venue
- Experimental & Molecular Medicine
- Published
- 2019-05
- Volume
- 51
- Issue
- 5
- Pages
- 1-10
- ISSN
- 1226-3613 (ISSN-L)
- 2092-6413
- PMC
- PMC6509326
- OpenAlex
- W2944734574
- Cited by
- 253
- References
- 15
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 47 · 2023: 43 · 2022: 47 · 2021: 44 · 2020: 36 · 2019: 7
- FWCI
- 5.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Experimental & Molecular Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Korea Health Industry Development Institute (HI14C3319)
- National Research Foundation of Korea (NRF-2018R1A6A1A03023718)
- Yonsei University (2018-22-0022, Yonsei Frontier Lab)
- 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, amyloid-beta, tau protein, fluid biomarkers, cerebrospinal fluid, blood biomarkers, early diagnosis, diagnostic criteria, prodromal Alzheimer's disease, disease-modifying drugs
- MeSH terms
- Alzheimer Disease, Animals, Humans, Saliva, Biomarkers, Amyloid beta-Peptides, tau Proteins, Protein Isoforms
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