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[Preprint]. 2025 Jul 23:2025.07.22.25331791.
doi: 10.1101/2025.07.22.25331791.

The PREVENT-AD cohort: accelerating Alzheimer's disease research and treatment in Canada and beyond

Affiliations

The PREVENT-AD cohort: accelerating Alzheimer's disease research and treatment in Canada and beyond

Sylvia Villeneuve et al. medRxiv. .

Update in

  • The PREVENT-AD cohort: Accelerating Alzheimer's disease research and treatment in Canada and beyond.
    Villeneuve S, Poirier J, Breitner JCS, Tremblay-Mercier J, Remz J, Raoult JM, Yakoub Y, Gallego-Rudolf J, Qiu T, Fajardo Valdez A, Mohammediyan B, Javanray M, Metz A, Sanami S, Ourry V, Wearn A, Pastor-Bernier A, Edde M, Gonneaud J, Strikwerda-Brown C, Tardif CL, Gauthier CJ, Descoteaux M, Dadar M, Vachon-Presseau É, Baril AA, Ducharme S, Montembeault M, Geddes MR, Soucy JP, Rajah N, Laforce R, Bocti C, Davatzikos C, Bellec L, Rosa-Neto P, Baillet S, Evans AC, Collins DL, Chakravarty MM, Blennow K, Zetterberg H, Spreng RN, Pichet Binette A; PREVENT‐AD Research Group. Villeneuve S, et al. Alzheimers Dement. 2025 Oct;21(10):e70653. doi: 10.1002/alz.70653. Alzheimers Dement. 2025. PMID: 41020412 Free PMC article.

Abstract

The PREVENT-AD is an investigator-driven study that was created in 2011 and enrolled cognitively normal older adults with a family history of sporadic AD. Participants are deeply phenotyped and have now been followed annually for more than 12 years [median follow-up 8.0 years,SD 3.1]. Multimodal MRI, genetic, neurosensory, clinical, cerebrospinal fluid and cognitive data collected until 2017 on 348 participants who agreed to open sharing with the neuroscience community were already available. We now share a new release including 6 years of additional follow-up cognitive data, and additional MRI follow-ups, clinical progression, new longitudinal behavioral and lifestyle measures (questionnaires, actigraphy), longitudinal AD plasma biomarkers, amyloid-beta and tau PET, magnetoencephalography, as well as neuroimaging analytic measures from all MRI modalities. We describe the PREVENT-AD study, the data shared with the global research community as well as the model we created to sustain longitudinal follow-ups while also allowing new innovative data collection.

Keywords: Biomarkers; clinical progression; cognition; data repository; neuroimaging; preclinical.

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Conflict of interest statement

CONFLICTS OF INTEREST KB has served as a consultant and at advisory boards for Abbvie, AC Immune, ALZPath, AriBio, Beckman-Coulter, BioArctic, Biogen, Eisai, Lilly, Moleac Pte. Ltd, Neurimmune, Novartis, Ono Pharma, Prothena, Quanterix, Roche Diagnostics, Sanofi and Siemens Healthineers; has served at data monitoring committees for Julius Clinical and Novartis; has given lectures, produced educational materials and participated in educational programs for AC Immune, Biogen, Celdara Medical, Eisai and Roche Diagnostics; and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program, outside the work presented in this paper. The other authors report no competing interests

Figures

Figure 1:
Figure 1:
Flow chart of PREVENT-AD parti 1
Figure 2:
Figure 2:. Main data available in the Data Shearing Repository.
Overview of all modalities available (A). Neuroimaging analytic measures (B). The cognitive assessment includes global and specific neuropsychological tests. Behavioral questionnaires (C). Fluid analytic measures (D). Abbreviations: Aβ, Amyloid-beta; PET, positron emission tomography; MEG, magnetoencephalography; CSF, cerebrospinal fluid; MRI, magnetic resonance imaging; PD, proton density; MTsat, magnetization transfer saturation; DTI, diffusion tensor imaging; FA, fractional anisotropy; MD, mean diffusivity; AD, axial diffusivity; RD, radial diffusivity; SUVR, standardized uptake value ratio; p, phosphorylated; NfL, neurofilament light; GFAP, glial fibrillary acidic protein; APOE, Apolipoprotein E; PCSK9, proprotein convertase subtilisin/kexin type 9; G-CSF, granulocyte colony stimulating factor; IL, interleukin; VEGF, vascular endothelial growth factor.
Figure 3:
Figure 3:. Main data collected over the years in the PREVENT-AD cohort.
Overview of the in-person data collected with PREVENT-AD participants at the StoP-AD Centre between 2012 and 2023 (A). The end of Phase 1 is identified by a dotted line. Summary of the baseline and follow-up visits performed on the 387 participants (B). The RBANS data collected between March 2020 and July 2021 were obtained virtually due to the COVID 19 pandemic and are not shared given that all tasks have not been completed, and we could not compute index scores. 2011 is not shown given that only enrolment visits were conducted that year. Abbreviations: RBANS, Repeatable Battery for the Assessment of Neuropsychological status; RAVLT, Rey Auditory Verbal Learning Test; TMT, Trail Making Test; MRI, magnetic resonance imaging; PET, positron emission tomography; MEG, magnetoencephalography; CSF, cerebrospinal fluid; EN, enrolment; BL, baseline.
Figure 4.
Figure 4.. Clinical status profiles and progression in the PREVENT-AD cohort
Percentage of clinical progression (mild cognitive impairment (MCI) or dementia) across Aβ and tau PET biomarker profiles. The first graph is data as reported in Strikwerda-Brown et al (2022), JAMA Neurology (left) and the second is after an additional 2.4 years of follow-up (right) (n=128). Abbreviations: CU: cognitively unimpaired older adults; MCI: mild cognitive impairment; A+T+: Aβ positive/tau positive; A+T-: Aβ positive/tau negative; A-T+: Aβ negative/tau positive; A-T-: Aβ negative/tau negative

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