Cited by 64Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsClinical Laboratory Practices and Quality Control

Alzheimer disease biomarkers: moving from CSF to plasma for reliable detection of amyloid and tau pathology

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Kang, Ju Hee, Korecka, Magdalena, Lee, Edward B, Cousins, Katheryn A Q, Tropea, Thomas F, Chen-Plotkin, Alice A, Irwin, David J, Wolk, David +3 more·2023·Clinical Chemistry

Abstract

Background: Development of validated biomarkers to detect early Alzheimer disease (AD) neuropathology is needed for therapeutic AD trials. Abnormal concentrations of “core” AD biomarkers, cerebrospinal fluid (CSF) amyloid beta1–42, total tau, and phosphorylated tau correlate well with neuroimaging biomarkers and autopsy findings. Nevertheless, given the limitations of established CSF and neuroimaging biomarkers, accelerated development of blood-based AD biomarkers is underway. Content: Here we describe the clinical significance of CSF and plasma AD biomarkers to detect disease pathology throughout the Alzheimer continuum and correlate with imaging biomarkers. Use of the AT(N) classification by CSF and imaging biomarkers provides a more objective biologically based diagnosis of AD than clinical diagnosis alone. Significant progress in measuring CSF AD biomarkers using extensively validated highly automated assay systems has facilitated their transition from research use only to approved in vitro diagnostics tests for clinical use. We summarize development of plasma AD biomarkers as screening tools for enrollment and monitoring participants in therapeutic trials and ultimately in clinical care. Finally, we discuss the challenges for AD biomarkers use in clinical trials and precision medicine, emphasizing the possible ethnocultural differences in the levels of AD biomarkers. Summary: CSF AD biomarker measurements using fully automated analytical platforms is possible. Building on this experience, validated blood-based biomarker tests are being implemented on highly automated immunoassay and mass spectrometry platforms. The progress made developing analytically and clinically validated plasma AD biomarkers within the AT(N) classification scheme can accelerate use of AD biomarkers in therapeutic trials and routine clinical practice.

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  • Aß and tau proteoforms are the most reliable fluid biomarkers for AD in both CSF and plasma.

    “which are the most reliable fluid biomarkers for AD in both CSF and plasma. 47”

    From A genetic and proteomic comparison of key AD biomarkers across tissues (2024) · cites this paper as [47]

    The Introduction identifies Aβ42 and tau measures as core, clinically reliable CSF biomarkers. The sections on plasma Aβ and p-tau report diagnostic utility, but the Introduction says plasma biomarkers require further rigorous validation. The paper therefore supports their importance in both fluids, not the unqualified claim that they are the most reliable in both. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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  1. [1]Jack CR Jr, Knopman DS, Jagust WJ, Shaw LM, Aisen PS, Weiner MW, Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol 2010; 9: 119– 28. 20083042 PMC2819840
  2. [5]Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, The Alzheimer’s Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimers Dement 2013; 9: e111– 94. 23932184 PMC4108198
  3. [6]Hansson O, Mikulskis A, Fagan AM, Teunissen C, Zetterberg H, Vanderstichele H, The impact of preanalytical variables on measuring cerebrospinal fluid biomarkers for Alzheimer’s disease diagnosis: A review. Alzheimers Dement 2018; 14: 1313– 33. 29940161
  4. [7]Verberk IMW, Misdorp EO, Koelewijn J, Ball AJ, Blennow K, Dage JL, Characterization of pre-analytical sample handling effects on a panel of Alzheimer’s disease-related blood-based biomarkers: results from the Standardization of Alzheimer’s Blood Biomarkers (SABB) working group. Alzheimers Dement 2022; 18: 1484– 97. 34845818 PMC9148379
  5. [10]Palmqvist S, Stomrud E, Cullen N, Janelidze S, Manuilova E, Jethwa A, An accurate fully automated panel of plasma biomarkers for Alzheimer’s disease. Alzheimers Dement 2023; 19: 1204– 15. 35950735 PMC9918613
  6. [11]Neuropathology Group. Medical Research Council Cognitive Function and Aging Study. Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales. Neuropathology group of the medical research council cognitive function and ageing study (MRC CFAS). Lancet 2001; 357: 169– 75. 11213093
  7. [12]Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Feldman HH, Frisoni GB, A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology 2016; 87: 539– 47. 27371494 PMC4970664
  8. [13]Wallin AK, Blennow K, Zetterberg H, Londos E, Minthon L, Hansson O. CSF Biomarkers predict a more malignant outcome in Alzheimer disease. Neurology 2010; 74: 1531– 7. 20458070
  9. [14]Mattsson N, Andreasson U, Persson S, Carrillo MC, Collins S, Chalbot S, CSF Biomarker variability in the Alzheimer’s association quality control program. Alzheimers Dement 2013; 9: 251– 61. 23622690 PMC3707386
  10. [15]Leinenbach A, Pannee J, Dulffer T, Huber A, Bittner T, Andreasson U, Mass spectrometry-based candidate reference measurement procedure for quantification of amyloid-beta in cerebrospinal fluid. Clin Chem 2014; 60: 987– 94. 24842955
  11. [16]Pannee J, Gobom J, Shaw LM, Korecka M, Chambers EE, Lame M, Round robin test on quantification of amyloid-beta 1–42 in cerebrospinal fluid by mass spectrometry. Alzheimers Dement 2016; 12: 55– 9. 26206625
  12. [17]Kuhlmann J, Andreasson U, Pannee J, Bjerke M, Portelius E, Leinenbach A, CSF Abeta1–42—an excellent but complicated Alzheimer’s biomarker—a route to standardisation. Clin Chim Acta 2017; 467: 27– 33. 27216941
  13. [18]Boulo S, Kuhlmann J, Andreasson U, Brix B, Venkataraman I, Herbst V, First amyloid beta1–42 certified reference material for re-calibrating commercial immunoassays. Alzheimers Dement 2020; 16: 1493– 503. 32755010 PMC7984389
  14. [19]Bjerke M, Andreasson U, Kuhlmann J, Portelius E, Pannee J, Lewczuk P, Assessing the commutability of reference material formats for the harmonization of amyloid-beta measurements. Clin Chem Lab Med 2016; 54: 1177– 91. 26495928
  15. [21]Leitao MJ, Silva-Spinola A, Santana I, Olmedo V, Nadal A, Le Bastard N, Baldeiras I. Clinical validation of the Lumipulse G cerebrospinal fluid assays for routine diagnosis of Alzheimer’s disease. Alzheimers Res Ther 2019; 11: 91. 31759396 PMC6875031
  16. [22]Blennow K, Zetterberg H. Biomarkers for Alzheimer’s disease: current status and prospects for the future. J Intern Med 2018; 284: 643– 63. 30051512
  17. [25]Mattsson N, Insel PS, Landau S, Jagust W, Donohue M, Shaw LM, Diagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer’s disease. Ann Clin Transl Neurol 2014; 1: 534– 43. 25356425 PMC4184556
  18. [26]Clark CM, Pontecorvo MJ, Beach TG, Bedell BJ, Coleman RE, Doraiswamy PM, Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: a prospective cohort study. Lancet Neurol 2012; 11: 669– 78. 22749065
  19. [29]Seeburger JL, Holder DJ, Combrinck M, Joachim C, Laterza O, Tanen M, Cerebrospinal fluid biomarkers distinguish postmortem-confirmed Alzheimer’s disease from other dementias and healthy controls in the OPTIMA cohort. J Alzheimers Dis 2015; 44: 525– 39. 25391385
  20. [30]Hansson O, Zetterberg H, Buchhave P, Londos E, Blennow K, Minthon L. Association between CSF biomarkers and incipient Alzheimer’s disease in patients with mild cognitive impairment: a follow- up study. Lancet Neurol 2006; 5: 228– 34. 16488378
  21. [31]Buchhave P, Minthon L, Zetterberg H, Wallin AK, Blennow K, Hansson O. Cerebrospinal fluid levels of beta-amyloid 1–42, but not of tau, are fully changed already 5 to 10 years before the onset of Alzheimer dementia. Arch Gen Psychiatry 2012; 69: 98– 106. 22213792
  22. [35]Babulal GM, Quiroz YT, Albensi BC, Arenaza-Urquijo E, Astell AJ, Babiloni C, Perspectives on ethnic and racial disparities in Alzheimer’s disease and related dementias: update and areas of immediate need. Alzheimers Dement 2019; 15: 292– 312. 30555031 PMC6368893
  23. [36]Morris JC, Schindler SE, McCue LM, Moulder KL, Benzinger TLS, Cruchaga C, Assessment of racial disparities in biomarkers for Alzheimer disease. JAMA Neurol 2019; 76: 264– 73. 30615028 PMC6439726
  24. [37]Garrett SL, McDaniel D, Obideen M, Trammell AR, Shaw LM, Goldstein FC, Hajjar I. Racial disparity in cerebrospinal fluid amyloid and tau biomarkers and associated cutoffs for mild cognitive impairment. JAMA Netw Open 2019; 2:e1917363. PMC6991300 31834392
  25. [38]Hajjar I, Yang Z, Okafor M, Liu C, Waligorska T, Goldstein FC, Shaw LM. Association of plasma and cerebrospinal fluid Alzheimer disease biomarkers with race and the role of genetic ancestry, vascular comorbidities, and neighborhood factors. JAMA Netw Open 2022; 5: e2235068. PMC9539715 36201209
  26. [39]Schindler SE, Cruchaga C, Joseph A, McCue L, Farias FHG, Wilkins CH, African Americans have differences in CSF soluble TREM2 and associated genetic variants. Neurol Genet 2021; 7: e571. 33884297 PMC8054965
  27. [40]Birkenbihl C, Salimi Y, Domingo-Fernandez D, Lovestone S; AddNeuroMed consortium; Fröhlich H, Evaluating the Alzheimer’s disease data landscape. Alzheimers Dement (N Y) 2020; 6:e12102. PMC7744022 33344750
  28. [42]Karikari TK, Ashton NJ, Brinkmalm G, Brum WS, Benedet AL, Montoliu-Gaya L, Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility. Nat Rev Neurol 2022; 18: 400– 18. 35585226
  29. [43]Karikari TK, Benedet AL, Ashton NJ, Lantero Rodriguez J, Snellman A, Suarez-Calvet M, Diagnostic performance and prediction of clinical progression of plasma phospho-tau181 in the Alzheimer’s Disease Neuroimaging Initiative. Mol Psychiatry 2021; 26: 429– 42. 33106600
  30. [44]Keshavan A, Pannee J, Karikari TK, Rodriguez JL, Ashton NJ, Nicholas JM, Population-based blood screening for preclinical Alzheimer’s disease in a British birth cohort at age 70. Brain 2021; 144: 434– 49. 33479777 PMC7940173
  31. [45]Koyama A, Okereke OI, Yang T, Blacker D, Selkoe DJ, Grodstein F. Plasma amyloid- beta as a predictor of dementia and cognitive decline: a systematic review and meta-analysis. Arch Neurol 2012; 69: 824– 31. 22451159 PMC3772635
  32. [47]Mattsson N, Zetterberg H, Janelidze S, Insel PS, Andreasson U, Stomrud E, Plasma tau in Alzheimer disease. Neurology 2016; 87: 1827– 35. 27694257 PMC5089525
  33. [48]Figurski MJ, Waligorska T, Toledo J, Vanderstichele H, Korecka M, Lee VM, Improved protocol for measurement of plasma beta-amyloid in longitudinal evaluation of Alzheimer’s Disease Neuroimaging Initiative study patients. Alzheimers Dement 2012; 8: 250– 60. 22748936 PMC3732031
  34. [49]Hanon O, Vidal JS, Lehmann S, Bombois S, Allinquant B, Treluyer JM, Plasma amyloid levels within the Alzheimer’s process and correlations with central biomarkers. Alzheimers Dement 2018; 14: 858– 68. 29458036
  35. [52]Janelidze S, Palmqvist S, Leuzy A, Stomrud E, Verberk IMW, Zetterberg H, Detecting amyloid positivity in early Alzheimer’s disease using combinations of plasma Abeta42/Abeta40 and p-tau. Alzheimers Dement 2022; 18: 283– 93. 34151519
  36. [53]De Meyer S, Schaeverbeke JM, Verberk IMW, Gille B, De Schaepdryver M, Luckett ES, Comparison of ELISA- and SIMOA-based quantification of plasma Abeta ratios for early detection of cerebral amyloidosis. Alzheimers Res Ther 2020; 12: 162. 33278904 PMC7719262
  37. [54]Doecke JD, Perez-Grijalba V, Fandos N, Fowler C, Villemagne VL, Masters CL, Total Abeta(42)/Abeta(40) ratio in plasma predicts amyloid-PET status, independent of clinical AD diagnosis. Neurology 2020; 94:e1580–e91. PMC7251518 32179698
  38. [55]Lewczuk P, Lelental N, Spitzer P, Maler JM, Kornhuber J. Amyloid-beta 42/40 cerebrospinal fluid concentration ratio in the diagnostics of Alzheimer’s disease: validation of two novel assays. J Alzheimers Dis 2015; 43: 183– 91. 25079805
  39. [56]Wiltfang J, Esselmann H, Bibl M, Hull M, Hampel H, Kessler H, Amyloid beta peptide ratio 42/40 but not A beta 42 correlates with phospho-Tau in patients with low- and high-CSF A beta 40 load. J Neurochem 2007; 101: 1053– 9. 17254013
  40. [57]Verberk IMW, Slot RE, Verfaillie SCJ, Heijst H, Prins ND, van Berckel BNM, Plasma amyloid as prescreener for the earliest Alzheimer pathological changes. Ann Neurol 2018; 84: 648– 58. 30196548 PMC6282982
  41. [59]Telser J, Risch L, Saely CH, Grossmann K, Werner P. P-tau217 in Alzheimer’s disease. Clin Chim Acta 2022; 531: 100– 11. 35341762
  42. [60]Ashton NJ, Puig-Pijoan A, Mila-Aloma M, Fernandez-Lebrero A, Garcia-Escobar G, Gonzalez-Ortiz F, Plasma and CSF biomarkers in a memory clinic: head-to-head comparison of phosphorylated tau immunoassays. Alzheimers Dement 2022; 19: 1913– 24. 36370462 PMC10762642
  43. [61]Bayoumy S, Verberk IMW, den Dulk B, Hussainali Z, Zwan M, van der Flier WM, Clinical and analytical comparison of six Simoa assays for plasma P-tau isoforms P-tau181, P-tau217, and P-tau231. Alzheimers Res Ther 2021; 13: 198. 34863295 PMC8645090
  44. [62]Janelidze S, Bali D, Ashton NJ, Barthelemy NR, Vanbrabant J, Stoops E, Head-to- head comparison of 10 plasma phospho- tau assays in prodromal Alzheimer’s disease. Brain 2023; 146: 1592– 601: 36087307 PMC10115176
  45. [63]Schindler SE, Karikari TK, Ashton NJ, Henson RL, Yarasheski KE, West T, Effect of race on prediction of brain amyloidosis by plasma Abeta42/Abeta40, phosphorylated tau, and neurofilament light. Neurology 2022; 99: e245– e57. 35450967 PMC9302933
  46. [64]Barthelemy NR, Horie K, Sato C, Bateman RJ. Blood plasma phosphorylated-tau isoforms track CNS change in Alzheimer’s disease. J Exp Med 2020; 217:e20200861. PMC7596823 32725127
  47. [66]Rohrer JD, Woollacott IO, Dick KM, Brotherhood E, Gordon E, Fellows A, Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. Neurology 2016; 87: 1329– 36. 27581216 PMC5047041
  48. [67]Mattsson N, Andreasson U, Zetterberg H, Blennow K; Alzheimer’s Disease Neuroimaging Initiative. Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease. JAMA Neurol 2017; 74: 557– 66. 28346578 PMC5822204
  49. [68]Lewczuk P, Ermann N, Andreasson U, Schultheis C, Podhorna J, Spitzer P, Plasma neurofilament light as a potential biomarker of neurodegeneration in Alzheimer’s disease. Alzheimers Res Ther 2018; 10: 71. 30055655 PMC6064615
  50. [70]Preische O, Schultz SA, Apel A, Kuhle J, Kaeser SA, Barro C, Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nat Med 2019; 25: 277– 83. 30664784 PMC6367005
  51. [71]Mattsson N, Cullen NC, Andreasson U, Zetterberg H, Blennow K. Association between longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer disease. JAMA Neurol 2019; 76: 791– 9. 31009028 PMC6583067
  52. [72]Mielke MM, Hagen CE, Wennberg AMV, Airey DC, Savica R, Knopman DS, Association of plasma total tau level with cognitive decline and risk of mild cognitive impairment or dementia in the mayo clinic study on aging. JAMA Neurol 2017; 74: 1073– 80. 28692710 PMC5710182
  53. [73]Park JC, Han SH, Yi D, Byun MS, Lee JH, Jang S, Plasma tau/amyloid-beta1– 42 ratio predicts brain tau deposition and neurodegeneration in Alzheimer’s disease. Brain 2019; 142: 771– 86. 30668647
  54. [74]Chen YH, Lin RR, Huang HF, Xue YY, Tao QQ. Microglial activation, tau pathology, and neurodegeneration biomarkers predict longitudinal cognitive decline in Alzheimer’s disease continuum. Front Aging Neurosci 2022; 14:848180. PMC9280990 35847667
  55. [75]Bellaver B, Ferrari-Souza JP, Uglione da Ros L, Carter SF, Rodriguez-Vieitez E, Nordberg A, Astrocyte biomarkers in Alzheimer disease: A systematic review and meta-analysis. Neurology 2021; 96: e2944–55. 33952650
  56. [76]Pereira JB, Janelidze S, Smith R, Mattsson-Carlgren N, Palmqvist S, Teunissen CE, Plasma GFAP is an early marker of amyloid-beta but not tau pathology in Alzheimer’s disease. Brain 2021; 144: 3505– 16. 34259835 PMC8677538
  57. [77]Leuzy A, Ashton NJ, Mattsson-Carlgren N, Dodich A, Boccardi M, Corre J,. 2020 Update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer’s disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging 2021; 48: 2121– 39. 33674895 PMC8175301
  58. [78]Zetterberg H, Bendlin BB. Biomarkers for Alzheimer’s disease-preparing for a new era of disease-modifying therapies. Mol Psychiatry 2021; 26: 296– 308. 32251378 PMC8172244
  59. [80]van Dyck CH, Swanson CJ, Aisen P, Bateman RJ, Chen C, Gee M, Lecanemab in early Alzheimer’s disease. N Engl J Med 2023; 388: 9– 21. 36449413
  60. [81]Leuzy A, Smith R, Cullen NC, Strandberg O, Vogel JW, Binette AP, Biomarker-based prediction of longitudinal tau positron emission tomography in Alzheimer disease. JAMA Neurol 2022; 79: 149– 58. 34928318 PMC8689441
  61. [82]Schindler SE, Bollinger JG, Ovod V, Mawuenyega KG, Li Y, Gordon BA, High-precision plasma beta-amyloid 42/ 40 predicts current and future brain amyloidosis. Neurology 2019; 93:e1647–e59. PMC6946467 31371569

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Authors
Kang, J. H., Korecka, M., Lee, E. B., Cousins, K. A. Q., Tropea, T. F., Chen-Plotkin, A. A., Irwin, D. J., Wolk, D., Brylska, M., Wan, Y., & Shaw, L. M.
Affiliations
  • Inha University (KR)
  • University of Pennsylvania (US)
  • Department of Neurology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , United States
Corresponding author
  • Kang, Ju Hee
  • Shaw, Leslie M
Venue
Clinical Chemistry
Published
2023-09-19
Volume
69
Issue
11
Pages
1247-1259
ISSN
  • 0009-9147 (ISSN-L)
  • 1530-8561
OpenAlex
W4386845260
Cited by
64
References
21
Citations by year
2026: 37 · 2025: 22 · 2024: 5
FWCI
12.32
Type
journal article
Language
en
Open access
Locations
  • Clinical Chemistry (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion, other-oa)
Funders
National Research Foundation funded (NRF-2021RIA5A2031612)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
Alzheimer's disease, Alzheimer's disease biomarkers, plasma biomarkers, cerebrospinal fluid biomarkers, amyloid-beta 42, total tau, phosphorylated tau, amyloid pathology, tau pathology, blood-based biomarkers, precision medicine, in vitro diagnostics, automated immunoassay, mass spectrometry
MeSH terms
Alzheimer Disease, Humans, Immunoassay, Peptide Fragments, Biomarkers, Amyloid beta-Peptides, tau Proteins

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