Cited by 60Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsClinical Laboratory Practices and Quality Control

The Bio‐Hermes Study: Biomarker database developed to investigate blood‐based and digital biomarkers in community‐based, diverse populations clinically screened for Alzheimer's disease

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Mohs, Richard C., Beauregard, Douglas, Dwyer, John, Gaudioso, Jennifer, Bork, Jason, MaGee‐Rodgers, Tamiko, Key, Mickeal N., Kerwin, Diana R. +3 more·2024·Alzheimer's & Dementia

Abstract

INTRODUCTION: Alzheimer's disease (AD) trial participants are often screened for eligibility by brain amyloid positron emission tomography/cerebrospinal fluid (PET/CSF), which is inefficient as many are not amyloid positive. Use of blood‐based biomarkers may reduce screen failures. METHODS: We recruited 755 non‐Hispanic White, 115 Hispanic, 112 non‐Hispanic Black, and 19 other minority participants across groups of cognitively normal (n = 417), mild cognitive impairment (n = 312), or mild AD (n = 272) participants. Plasma amyloid beta (Aβ)40, Aβ42, Aβ42/Aβ40, total tau, phosphorylated tau (p‐tau)181, and p‐tau217 were measured; amyloid PET/CSF (n = 956) determined amyloid positivity. Clinical, blood biomarker, and ethnicity/race differences associated with amyloid status were evaluated. RESULTS: Greater impairment, older age, and carrying an apolipoprotein E (apoE) ε4 allele were associated with greater amyloid burden. Areas under the receiver operating characteristic curve for amyloid status of plasma Aβ42/Aβ40, p‐tau181, and p‐tau217 with amyloid positivity were ≥ 0.7117 for all ethnoracial groups (p‐tau217, ≥0.8128). Age and apoE ε4 adjustments and imputation of biomarker values outside limit of quantitation provided small improvement in predictive power. DISCUSSION: Blood‐based biomarkers are highly associated with amyloid PET/CSF results in diverse populations enrolled at clinical trial sites. Highlights: Amyloid beta (Aβ)42/Aβ40, phosphorylated tau (p‐tau)181, and p‐tau 217 blood‐based biomarkers predicted brain amyloid positivity. P‐tau 217 was the strongest predictor of brain amyloid positivity. Biomarkers from diverse ethnic, racial, and clinical cohorts predicted brain amyloid positivity. Community‐based populations have similar Alzheimer's disease (AD) biomarker levels as other populations. A prescreen process with blood‐based assays may reduce the number of AD trial screen failures.

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  • Previous studies have provided evidence that p-tau217 has excellent performance in different racial and ethnic groups.

    “While p-tau217 was not available in some cohorts, previous studies have provided evidence that this biomarker also has excellent performance in different racial and ethnic groups54,55.”

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  1. [3]Sperling RA, Donohue MC, Raman R, et al. Association of factors with elevated amyloid burden in clinically normal older individuals. JAMA Neurol. 2020; 77(6): 735‐ 745. doi: 10.1001/jamaneurol.2020.0387 32250387 PMC7136861 · DOI
  2. [4]Niemantsverdriet E, Valckx S, Bjerke M, Engelborghs S. Alzheimer's disease CSF biomarkers: clinical indications and rational use. Acta Neurol Belg. 2017; 117(3): 591‐ 602. doi: 10.1007/s13760-017-0816-5 28752420 PMC5565643 · DOI
  3. [5]Anand K, Sabbagh M. Amyloid imaging: poised for integration into medical practice. Neurotherapeutics. 2017; 14(1): 54‐ 61. doi: 10.1007/s13311-016-0474-y 27571940 PMC5233621 · DOI
  4. [6]Kantarci K. Molecular imaging of Alzheimer disease pathology. AJNR Am J Neuroradiol. 2014; 35(Suppl 6): S12‐ S17. doi: 10.3174/ajnr.A3847 24503555 PMC4259015 · DOI
  5. [7]Morris JC, Schindler SE, McCue LM, et al. Assessment of racial disparities in biomarkers for Alzheimer disease. JAMA Neurol. 2019; 76(3): 264‐ 273. doi: 10.1001/jamaneurol.2018.4249 30615028 PMC6439726 · DOI
  6. [8]Palmqvist S, Janelidze S, Quiroz YT, et al. Discriminative accuracy of plasma phospho‐tau217 for Alzheimer disease vs other neurodegenerative disorders. JAMA. 2020; 324(8): 772‐ 781. doi: 10.1001/jama.2020.12134 32722745 PMC7388060 · DOI · Paper page
  7. [10]Tosun D, Demir Z, Veitch DP, et al. Contribution of Alzheimer's biomarkers and risk factors to cognitive impairment and decline across the Alzheimer's disease continuum. Alzheimers Dement. 2022; 18(7): 1370‐ 1382. doi: 10.1002/alz.12480 34647694 PMC9014819 · DOI
  8. [11]Chatterjee P, Pedrini S, Doecke JD, et al. Plasma Aβ42/40 ratio, p‐tau181, GFAP, and NfL across the Alzheimer's disease continuum: a cross‐sectional and longitudinal study in the AIBL cohort. Alzheimers Dement. 2023; 19(4): 1117‐ 1134. doi: 10.1002/alz.12724 36574591 · DOI
  9. [12]Gonzalez‐Ortiz F, Kac PR, Brum WS, Zetterberg H, Blennow K, Karikari TK. Plasma phospho‐tau in Alzheimer's disease: towards diagnostic and therapeutic trial applications. Mol Neurodegeneration. 2023; 18(1): 18. doi: 10.1186/s13024-023-00605-8 PMC10022272 36927491 · DOI
  10. [13]Winder Z, Sudduth TL, Anderson S, et al. Examining the association between blood‐based biomarkers and human post mortem neuropathology in the University of Kentucky Alzheimer's Disease Research Center autopsy cohort. Alzheimers Dement. 2023; 19(1): 67‐ 78. doi: 10.1002/alz.12639 35266629 PMC9463400 · DOI
  11. [14]Morrison MS, Aparicio HJ, Blennow K, et al. Ante‐mortem plasma phosphorylated tau (181) predicts Alzheimer's disease neuropathology and regional tau at autopsy. Brain. 2022; 145(10): 3546‐ 3557. doi: 10.1093/brain/awac175 35554506 PMC10233293 · DOI
  12. [15]Stevenson‐Hoare J, Heslegrave A, Leonenko G, et al. Plasma biomarkers and genetics in the diagnosis and prediction of Alzheimer's disease. Brain. 2023; 146(2): 690‐ 699. doi: 10.1093/brain/awac128 35383826 PMC9924904 · DOI
  13. [16]Soares HD. Plasma biomarkers associated with the apolipoprotein E genotype and Alzheimer disease. Arch Neurol. 2012; 69(10): 1310. doi: 10.1001/archneurol.2012.1070 22801723 PMC3683865 · DOI · Paper page
  14. [17]Nabers A, Perna L, Lange J, et al. Amyloid blood biomarker detects Alzheimer's disease. EMBO Mol Med. 2018; 10(5). 10.15252/emmm.201708763 PMC5938617 29626112 · DOI · Paper page
  15. [18]Pase MP, Beiser AS, Himali JJ, et al. Assessment of plasma total tau level as a predictive biomarker for dementia and related endophenotypes. JAMA Neurol. 2019; 76(5): 598‐ 606. doi: 10.1001/jamaneurol.2018.4666 30830207 PMC6515589 · DOI
  16. [21]Wilkins CH, Windon CC, Dilworth‐Anderson P, et al. Racial and ethnic differences in amyloid PET positivity in individuals with mild cognitive impairment or dementia: a secondary analysis of the Imaging Dementia–Evidence for Amyloid Scanning (IDEAS) cohort study. JAMA Neurol. 2022; 79(11): 1139‐ 1147. doi: 10.1001/jamaneurol.2022.3157 36190710 PMC9531087 · DOI
  17. [22]Yesavage JA, Sheikh JI. 9/Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clinical Gerontologist. 1986; 5(1‐2): 165‐ 173. doi: 10.1300/J018v05n01_09 · DOI
  18. [23]Rosenberg SJ, Ryan JJ, Prifitera A. Rey auditory‐verbal learning test performance of patients with and without memory impairment. J Clin Psychol. 1984; 40(3): 785‐ 787. doi: 10.1002/1097-4679(198405)40:33C;785::AID-JCLP22704003253E;;3.0.CO;2-4 6746989 · DOI
  19. [24]Ferman TJ, Lucas JA, Ivnik RJ, et al. Mayo's older African American normative studies: auditory verbal learning test norms for African American elders. Clin Neuropsychol. 2005; 19(2): 214‐ 228. doi: 10.1080/13854040590945300 16019705 · DOI
  20. [25]Pfeffer RI, Kurosaki TT, Harrah CH, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982; 37(3): 323‐ 329. doi: 10.1093/geronj/37.3.323 7069156 · DOI
  21. [26]Kirmess KM, Meyer MR, Holubasch MS, et al. The PrecivityAD™ test: accurate and reliable LC‐MS/MS assays for quantifying plasma amyloid beta 40 and 42 and apolipoprotein E proteotype for the assessment of brain amyloidosis. Clinica Chimica Acta. 2021; 519: 267‐ 275. doi: 10.1016/j.cca.2021.05.011 PMC10292789 34015303 · DOI
  22. [27]Janelidze S, Berron D, Smith R, et al. Associations of plasma phospho‐tau217 levels with tau positron emission tomography in early Alzheimer disease. JAMA Neurol. 2021; 78(2): 149‐ 156. doi: 10.1001/jamaneurol.2020.4201 33165506 PMC7653537 · DOI
  23. [28]Ding X, Zhang S, Jiang L, Wang L, Li T, Lei P. Ultrasensitive assays for detection of plasma tau and phosphorylated tau 181 in Alzheimer's disease: a systematic review and meta‐analysis. Transl Neurodegener. 2021; 10(1): 1‐ 14. doi: 10.1186/s40035-021-00234-5 33712071 PMC7953695 · DOI
  24. [30]Chételat G, La Joie R, Villain N, et al. Amyloid imaging in cognitively normal individuals, at‐risk populations and preclinical Alzheimer's disease. NeuroImage: Clinical. 2013; 2: 356‐ 365. doi: 10.1016/j.nicl.2013.02.006 24179789 PMC3777672 · DOI
  25. [31]DeLong E, DeLong D, Clarke‐Pearson D. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988; 44(3): 837‐ 845. 3203132
  26. [32]Banzi R, Camaioni P, Tettamanti M, Bertele’ V, Lucca U. Older patients are still under‐represented in clinical trials of Alzheimer's disease. Alz Res Therapy. 2016; 8(1): 1‐ 10. doi: 10.1186/s13195-016-0201-2 PMC4982205 27520290 · DOI · Paper page
  27. [33]Pinho‐Gomes AC, Gong J, Harris K, Woodward M, Carcel C. Dementia clinical trials over the past decade: are women fairly represented? BMJ Neurol Open. 2022; 4(2): e000261. doi: 10.1136/bmjno-2021-000261 PMC9445798 36110923 · DOI
  28. [34]Varesi A, Carrara A, Pires VG, et al. Blood‐based biomarkers for Alzheimer's disease diagnosis and progression: an overview. Cells. 2022; 11(8): 1367. doi: 10.3390/cells11081367 35456047 PMC9044750 · DOI
  29. [35]Leuzy A, Mattsson‐Carlgren N, Palmqvist S, Janelidze S, Dage JL, Hansson O. Blood‐based biomarkers for Alzheimer's disease. EMBO Mol Med. 2022; 14(1): e14408. doi: 10.15252/emmm.202114408 34859598 PMC8749476 · DOI
  30. [36]Van Dyck CH, Swanson CJ, Aisen P, et al. Lecanemab in early Alzheimer's disease. N Engl J Med. 2023; 388(1): 9‐ 21. doi: 10.1056/NEJMoa2212948 36449413 · DOI · Paper page
  31. [37]Guthrie H, Honig LS, Lin H, et al. Safety, tolerability, and pharmacokinetics of crenezumab in patients with mild‐to‐moderate Alzheimer's disease treated with escalating doses for up to 133 weeks. JAD. 2020; 76(3): 967‐ 979. doi: 10.3233/JAD-200134 32568196 PMC7505005 · DOI
  32. [38]Brickman AM, Manly JJ, Honig LS, et al. Plasma p‐tau181, p‐tau217, and other blood‐based Alzheimer's disease biomarkers in a multi‐ethnic, community study. Alzheimers Dement. 2021; 17(8): 1353‐ 1364. doi: 10.1002/alz.12301 33580742 PMC8451860 · DOI · Paper page
  33. [39]Rajan KB, Weuve J, Barnes LL, McAninch EA, Wilson RS, Evans DA. Population estimate of people with clinical Alzheimer's disease and mild cognitive impairment in the United States (2020‐2060). Alzheimers Dement. 2021; 17(12): 1966‐ 1975. doi: 10.1002/alz.12362 34043283 PMC9013315 · DOI · Paper page
  34. [40]Arias E, Xu J. United States Life Tables, 2018. National vital statistics reports; vol 69, no 12. Hyattsville, MD: National Center for Health Statistics. Nov 17, 2020: 1‐ 45. Accessed September 14, 2023. https://www.cdc.gov/nchs/data/nvsr/nvsr69/nvsr69-12-508.pdf 33270553
  35. [41]Schindler SE, Karikari TK, Ashton NJ, et al. Effect of race on prediction of brain amyloidosis by plasma Aβ42/Aβ40, phosphorylated tau, and neurofilament light. Neurology. 2022; 99(3): e245‐ e257. doi: 10.1212/WNL.0000000000200358 35450967 PMC9302933 · DOI

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Authors
Mohs, R. C., Beauregard, D., Dwyer, J., Gaudioso, J., Bork, J., MaGee‐Rodgers, T., Key, M. N., Kerwin, D. R., Hughes, L., Cordell, C. B., & The Bio‐Hermes Collaborative Group
Affiliations
  • Global Alzheimer's Platform Foundation (US)
  • Global Alzheimer's Platform Foundation Washington District of Columbia USA
  • Kerwin Medical Center Dallas Texas USA
  • Advisor to the Global Alzheimer's Platform Foundation and IXICO plc London UK
Corresponding author
Mohs, Richard C.
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2024-02-28
Volume
20
Issue
4
Pages
2752-2765
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W4392239508
Cited by
60
References
4
Citations by year
2026: 22 · 2025: 23 · 2024: 15
FWCI
17.64
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Alzheimer's Drug Discovery Foundation
  • Eli Lilly and Company
  • Biogen
  • FONDATION ALZHEIMER
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, blood-based biomarkers
MeSH terms
Alzheimer Disease, Brain, Humans, Biomarkers, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography, Cognitive Dysfunction

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