The AHEAD 3‐45 Study: Design of a prevention trial for Alzheimer's disease
Open accessAbstract
INTRODUCTION: The Alzheimer's disease (AD) continuum begins with a long asymptomatic or preclinical stage, during which amyloid beta (Aβ) is accumulating for more than a decade prior to widespread cortical tauopathy, neurodegeneration, and manifestation of clinical symptoms. The AHEAD 3-45 Study (BAN2401-G000-303) is testing whether intervention with lecanemab (BAN2401), a humanized immunoglobulin 1 (IgG1) monoclonal antibody that preferentially targets soluble aggregated Aβ, initiated during this asymptomatic stage can slow biomarker changes and/or cognitive decline. The AHEAD 3-45 Study is conducted as a Public-Private Partnership of the Alzheimer's Clinical Trial Consortium (ACTC), funded by the National Institute on Aging, National Institutes of Health (NIH), and Eisai Inc. METHODS: The AHEAD 3-45 Study was launched on July 14, 2020, and consists of two sister trials (A3 and A45) in cognitively unimpaired (CU) individuals ages 55 to 80 with specific dosing regimens tailored to baseline brain amyloid levels on screening positron emission tomography (PET) scans: intermediate amyloid (≈20 to 40 Centiloids) for A3 and elevated amyloid (>40 Centiloids) for A45. Both trials are being conducted under a single protocol, with a shared screening process and common schedule of assessments. A3 is a Phase 2 trial with PET-imaging end points, whereas A45 is a Phase 3 trial with a cognitive composite primary end point. The treatment period is 4 years. The study utilizes innovative approaches to enriching the sample with individuals who have elevated brain amyloid. These include recruiting from the Trial-Ready Cohort for Preclinical and Prodromal Alzheimer's disease (TRC-PAD), the Australian Dementia Network (ADNeT) Registry, and the Japanese Trial Ready Cohort (J-TRC), as well as incorporation of plasma screening with the C2N mass spectrometry platform to quantitate the Aβ 42/40 ratio (Aβ 42/40), which has been shown previously to reliably identify cognitively normal participants not likely to have elevated brain amyloid levels. A blood sample collected at a brief first visit is utilized to "screen out" individuals who are less likely to have elevated brain amyloid, and to determine the participant's eligibility to proceed to PET imaging. Eligibility to randomize into the A3 Trial or A45 Trial is based on the screening PET imaging results. RESULT: The focus of this article is on the innovative design of the study. DISCUSSION: The AHEAD 3-45 Study will test whether with lecanemab (BAN2401) can slow the accumulation of tau and prevent the cognitive decline associated with AD during its preclinical stage. It is specifically targeting both the preclinical and the early preclinical (intermediate amyloid) stages of AD and is the first secondary prevention trial to employ plasma-based biomarkers to accelerate the screening process and potentially substantially reduce the number of screening PET scans.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Two drug studies (AHEAD and TRAILBRAZER-ALZ 3) employing lecanemab and donanemab have completed recruitment for preventive treatment of stage 1 and 2 Alzheimer's disease.
“Two drug studies (AHEAD study and TRAILBRAZER-ALZ 3 study), employing recently FDA-approved anti-amyloid drugs (lecanemab and donanemab), have completed the recruitment phase of preventive treatment for stage 1 and 2 AD.15,16”
From A 2025 update on treatment strategies for the Alzheimer’s disease spectrum (2025) · cites this paper as [15]
The Background and Methods (pages unavailable) identify AHEAD’s A3 and A45 trials as lecanemab studies in early preclinical and preclinical Alzheimer’s disease, supporting the trial and treatment description. The Background says both trials were enrolling, and the Discussion anticipates recruitment challenges; neither supports the claim that AHEAD had completed recruitment. This paper does not establish the claim about TRAILBLAZER-ALZ 3. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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
Self-citationSwanson, C. J., Zhang, Y., Dhadda, S., Wang, J., Kaplow, J., Lai, R. Y. K., Lannfelt, L., Bradley, H., Rabe, M., Koyama, A., et al. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00813-8 · Cited by 847 · see citing works
He, Z., Guo, J. L., McBride, J. D., Narasimhan, S., Kim, H., Changolkar, L., Zhang, B., Gathagan, R. J., Yue, C., Dengler, C., et al. (2018) · Nature Medicine · doi:10.1038/nm.4443 · Cited by 645 · see citing works
La Joie, R., Ayakta, N., Seeley, W. W., Borys, E., Boxer, A. L., DeCarli, C., Doré, V., Grinberg, L. T., Huang, E., Hwang, J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.001 · Cited by 317 · see citing works
The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 26
- [1]Rafii MS, Aisen PS. The search for Alzheimer disease therapeutics—same targets, better trials?. Nat Rev Neurol. 2020; 16(11): 597– 598. 32963375
- [2]Sperling R, Aisen P, Becket L, Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzhemer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 2011; 7: 280– 292. 21514248 PMC3220946
- [3]FDA. Early Alzheimer’s disease: developing drugs for treatment guidance for industry draft guidance, 2018. PMC6804505 31650002
- [4]Sperling RA, Mormino E, Johnson K. The evolution of preclinical Alzheimer’s disease: implications for prevention trials. Neuron. 2014; 84: 608– 622. 25442939 PMC4285623
- [5]Johnson K, Schultz A, Betensky R, Tau positron emission tomographic imaging in aging and early Alzheimer disease. Ann Neurol. 2016; 79(1): 110– 119. 26505746 PMC4738026
- [8]Donohue MC, Sperling RA, Salmon DP, The preclinical Alzheimer cognitive composite: measuring amyloid-related decline. JAMA Neurol. 2014; 71(8): 961– 970. 24886908 PMC4439182
- [9]Weintraub S, Carrillo SC, Farias ST, Measuring cognition and function in the preclinical stage Alzheimer’s disease. Alzheimers Dement. 2018; 4: 64– 75. PMC6021264 29955653
- [10]Hanseeuw B, Betensky R, Jacobs H, Association of amyloid and tau with cognition in preclinical Alzheimer disease. JAMA Neurol. 2019; 76(8): 915– 924. 31157827 PMC6547132
- [11]Donohue M, Sperling R, Petersen R, Association between elevated brain amyloid and subsequent cognitive decline among cognitively normal persons. JAMA. 2017; 317(22): 2305– 2316. 28609533 PMC5736301
- [12]Mormino E, Papp K, Rentz D, Early and late change on the preclinical Alzheimer’s cognitive composite in clinically normal older individuals with elevated amyloid β. Alzheimers Dement. 2017; 13: 1004– 1012. 28253478 PMC5573651
- [13]Leonenko G, Shoai M, Bellou E, Genetic risk for Alzheimer disease is distinct from genetic risk for amyloid deposition. Ann Neurol. 2019; 86(3): 427– 435. 31199530 PMC6771864
- [14]Farrell ME, Jiang S, Schultz AP, Alzheimer’s disease neuroimaging initiative and the Harvard aging brain study. Neurology. 2021; 96(4): e619– e631. 33199430 PMC7905788
- [15]Bischof GN, Jacobs H. Subthreshold amyloid and its biological and clinical meaning. Neurology. 2019; 93(2): 72– 79. 31167933
- [16]Jack CR, Wiste HJ, Weigand SD, Defining imaging biomarker cut points for brain aging and Alzheimer’s disease. Alzheimers Dement. 2017; 13(3): 205– 216. 27697430 PMC5344738
- [17]Villeneuve S, Rabinovici GD, Cohn-Sheehy BI, Existing Pittsburgh Compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation. Brain. 2015; 138: 2020– 2033. 25953778 PMC4806716
- [18]Joie RL, Ayakta N, Seeley WW, Borys E, Multi-site study of the relationships between ante mortem [11C]PiB-PET Centiloid values and post mortem measures of Alzheimer’s disease neuropathology. Alzheimers Dement. 2019; 15(2): 205– 216. 30347188 PMC6368897
- [19]Papp KV, Rentz DM, Orlovsky I, Sperling RA, Mormino EC. Optimizing the preclinical Alzheimer’s cognitive composite with semantic processing: the PACC5. Alzheimers Dement (N Y). 2017; 3(4): 668– 677. 29264389 PMC5726754
- [21]Villain N, Chételat G, Grassiot B, Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer’s disease: a voxelwise PiB–PET longitudinal study. Brain. 2012; 135: 2126– 2139. 22628162
- [22]Philipson O, Lord A, Lalowski M, Neurobiol Aging. 2012; 33(5): 1010.e1– 13. 22118948
- [23]Swanson CJ, Zhang Y, Dhadda S, Clinical and biomarker updates from BAN2401 Study 201 in early AD. Clinical Trials on Alzheimer’s Disease Conference: 24–27 October 2018; Barcelona.
- [25]Aisen PS, Sperling RA, Cummings J, The trial-ready cohort for preclinical/prodromal Alzheimer’s disease (TRC-PAD) project: an overview. J Prev Alzheimers Dis. 2020; 7(4): 208– 212. 32920621 PMC7735207
- [26]Langford O, Raman R, Sperling RA, Predicting amyloid burden to accelerate recruitment of secondary prevention clinical trials. J Prev Alzheimers Dis. 2020; 7(4): 213– 218. 32920622 PMC7745538
- [27]Schindler SE, Bollinger JG, Ovod V, High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis. Neurology. 2019; 93(17): e1647– e1659. 31371569 PMC6946467
- [28]Sperling RA, Jack CR Jr, Black SE, Amyloid-related imaging abnormalities in amyloid-modifying therapeutic trials: recommendations from the Alzheimer’s Association Research Roundtable Workgroup. Alzheimers Dement. 2011; 7(4): 367– 385. 21784348 PMC3693547
- [29]Sperling RA, Donohue MC, Raman R, Association of factors with elevated amyloid burden in clinically normal older individuals. JAMA Neurol. 2020; 77(6): 735– 745. 32250387 PMC7136861
- [30]Raman R, Quiroz YT, Langford O, Disparities by race and ethnicity among adults recruited for a preclinical Alzheimer disease trial. JAMA Netw Open. 2021; 4(7): e2114364. 34228129 PMC8261604
Cited by
Sorted by citations
Amyloid β-based therapy for Alzheimer’s disease: Challenges, successes and future
Zhang, Y., Chen, H., Li, R., Sterling, K., & Song, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01484-7 · Cited by 988 · see citing works
“In Feb 2020, it was announced that a large lecanemab study called AHEAD3-45 would run from July 2020 to October 2027 to measure the preventive effect of lecanemab treatment on amyloid and tau tangle formation.(353)”
BackgroundLecanemab: Appropriate Use Recommendations
Cummings, J., Apostolova, L., Rabinovici, G. D., Atri, A., Aisen, P., Greenberg, S., Hendrix, S., Selkoe, D., Weiner, M., Petersen, R. C., et al. (2023) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2023.30 · Cited by 961 · see citing works
Self-citationEmerging diagnostics and therapeutics for Alzheimer disease
Self, W. K., & Holtzman, D. M. (2023) · Nature Medicine · doi:10.1038/s41591-023-02505-2 · Cited by 381 · see citing works
Accelerating Alzheimer’s therapeutic development: The past and future of clinical trials
Boxer, A. L., & Sperling, R. (2023) · Cell · doi:10.1016/j.cell.2023.09.023 · Cited by 197 · see citing works
Self-citationLista, S., Imbimbo, B. P., Grasso, M., Fidilio, A., Emanuele, E., Minoretti, P., López-Ortiz, S., Martín-Hernández, J., Gabelle, A., Caruso, G., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03163-y · Cited by 81 · see citing works
A 2025 update on treatment strategies for the Alzheimer’s disease spectrum
Wu, C.-K., & Fuh, J.-L. (2025) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000001252 · Cited by 77 · see citing works
“15,16 With clinically proved effectiveness in A β clearance for AD stages 3 and 4, hopefully after a study period of 4 years these drugs can be applicable to stage 1 or stage 2 of AD.”
De Strooper, B., & Karran, E. (2024) · The EMBO Journal · doi:10.1038/s44318-024-00057-w · Cited by 36 · see citing works
Plasma ATN(I) classification and precision pharmacology in Alzheimer's disease
Imbimbo, B. P., Watling, M., Imbimbo, C., & Nisticò, R. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13084 · Cited by 34 · see citing works
Towards an AI biomedical scientist: Accelerating discoveries in neurodegenerative disease
Roberts, K. F., Landsness, E. C., Reese, J., Elbert, D., Strobel, G., Wu, E., Chen, Y., Lai, A., Abrams, Z. B., Zhu, M., et al. (2026) · The Journal of Prevention of Alzheimer's Disease · doi:10.1016/j.tjpad.2025.100398 · Cited by 1 · see citing works
- Authors
- Rafii, M. S., Sperling, R. A., Donohue, M. C., Zhou, J., Roberts, C., Irizarry, M. C., Dhadda, S., Sethuraman, G., Kramer, L. D., Swanson, C. J., Li, D., Krause, S., Rissman, R. A., Walter, S., Raman, R., Johnson, K. A., & Aisen, P. S.
- Affiliations
- University of Southern California (US)
- Brigham and Women's Hospital (US)
- Eisai (United States) (US)
- Eisai (United Kingdom) (GB)
- Corresponding author
- Rafii, Michael S.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2022-08-15
- Volume
- 19
- Issue
- 4
- Pages
- 1227-1233
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC9929028
- OpenAlex
- W4291824893
- Cited by
- 291
- References
- 5
- Citations by year
- 2026: 84 · 2025: 103 · 2024: 73 · 2023: 29 · 2022: 2
- FWCI
- 32.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by-nc)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- Funders
- Eisai
- National Institutes of Health
- National Institute on Aging (R01AG054029, U24AG057437, P30AG066530)
- 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, lecanemab
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Australia, Brain, Humans, Middle Aged, Biomarkers, Amyloid beta-Peptides, tau Proteins, Tauopathies, Positron-Emission Tomography, Cognitive Dysfunction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review