CClinicalTrials.gg
RecruitingNCT06529744CRND TorCAUpdated Nov 20, 2025

Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling

An observational study in Dementia, Alzheimer Disease and Dementia With Lewy Bodies, sponsored by University Health Network, Toronto. Recruiting at 4 sites in Canada. Open to participants aged 30 Years to 95 Years. Per ClinicalTrials.gov, last updated 2025-11-20.

Sponsored by University Health Network, Toronto · Observational

From the registry’s dates

  • Started Nov 2023; still recruiting 2 years 10 months later.
Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
500
Ages
30 Years to 95 Years
Sex
All
01

Study summary

To develop a model to predict disease progression in a large cohort of patients across a variety of neurodegenerative diseases, including Mild Cognitive Impairment (MCI) and dementia due to any neurodegenerative disease, including Alzheimer's Disease (AD), Lewy Body Disease (LBD), Vascular Disease (VaD) and Frontotemporal lobar degeneration (FTLD).

Read the detailed description

The goal of this study is to create a model to predict disease progression in patients with mild cognitive impairments and forms of dementia. To accomplish this, the current study will evaluate different tests including: brain imaging (MRI), body fluid samples (blood and cerebrospinal fluid), skin biopsy, cognitive ability, and behavioural questionnaires. The study team hopes that this information can be used to guide diagnosis and better predict disease progression in patients with mild cognitive impairment and and early dementia.

02

Conditions studied

  • Dementia
  • Alzheimer Disease
  • Dementia With Lewy Bodies
  • Vascular Dementia
  • Frontotemporal Dementia
  • Mild Cognitive Impairment
  • Corticobasal Syndrome
  • Progressive Supranuclear Palsy
  • Parkinson Disease
  • Primary Progressive Aphasia

Keywords

  • alzheimer's disease
  • dementia
  • dementia with lewy bodies
  • vascular dementia
  • frontotemporal dementia
  • mild cognitive impairment
  • corticobasal syndrome
  • progressive supranuclear palsy
  • parkinson's disease
  • primary progressive aphasia
03

In context

Dementia

2,172 studies on the registry are indexed under Dementia; 540 are open to participants now.

This study's planned enrollment of 500 is above the median of 250 across 482 observational studies indexed under Dementia.

Browse Dementia studies →

Lead sponsor

University Health Network, Toronto is the lead sponsor of 1,411 studies on the registry; 292 are open to participants now.

Of its 17 completed or terminated interventional studies of FDA-regulated products, 3 (18%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
30 Years to 95 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Individuals who have been diagnosed with a mild cognitive impairment or early stage dementia that are between the ages of 30-95 can participate in the study as long as they have a study partner who can answer questionnaires at their 3 study visits and can complete a majority of assessments.

Inclusion criteria

  • Possible or probable diagnosis of MCI or early dementia
  • Age 30-95
  • Study partner who has some weekly contact with patient. Some of the neuropsychological assessment require collateral from close contacts to assess cognition and functioning. Since neurodegenerative diseases can be associated with reduced cognition, including reduced awareness of one's own impairments, participants will be assessed for their capacity to consent at all study visits.
  • Must, in the opinion of the site investigator, be able to complete most study procedures.

Exclusion criteria

Exclusion Criteria:

  • Participants who are not able to complete the majority of assessments in the opinion of the PI are excluded from the study. Exclusion criteria are evaluated at the site investigator's discretion; if the site investigator believes that the participant's symptoms are due to causes other than neurodegeneration, despite the presence of an exclusionary condition, the investigator may overrule the exclusion.
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
500 participants (estimated)
Target follow-up
1 Year
Patient registry
Yes
Biospecimen retention
Samples with dna
06

What researchers measure

Primary outcomes

  1. Cognitive phenotype

    Change in Toronto Cognitive Assessment (TorCA) scores out of 330, where lower scores indicate increasing cognitive impairments, and individual domains.

    Time frame: Baseline, 6-month follow-up, 1-year follow-up

Secondary outcomes

  1. Assessment of DNA methylation (DNAm) from bloodwork

    Biological age from DNA methylation (DNAm) collected via bloodwork compared to chronological age.

    Time frame: Baseline

  2. Neurodegenerative protein levels in biofluids and skin biopsy

    Differences in protein levels between neurodegenerative diagnoses and predictive ability for change in TorCA

    Time frame: Baseline, 6-month follow-up, 1-year follow-up

  3. Structural and Functional Differences between neurodegenerative diseases via MRI of the brain

    Brain volumes and white matter hyperintensity (WMH) load corresponding to Toronto Cognitive Assessment (TorCA) scores out of 330 where lower scores indicate increasing cognitive impairments.

    Time frame: Baseline

07

Study locations

1 of 4 sites recruiting
  • Baycrest
    North York, Ontario M6A 2E1, Canada
    Not yet recruiting
  • Sunnybrook Health Sciences Centre
    Toronto, Ontario M4N 3M5, Canada
    Not yet recruiting
  • Toronto Western Hospital, University Health Network
    Toronto, Ontario M5T 2S8, Canada
    • Claudia Clementi · Contact · claudia.clementi@uhn.ca · 416-603-5914
    • Maria C Tartaglia, MD · Principal investigator
    Recruiting
  • Centre for Addiction and Mental Health
    Toronto, Ontario M6J 1H1, Canada
    • Loreque Fearon, BASc · Contact · Loreque.Fearon@camh.ca · 416-535-8501
    • Tarek Rajji, MD · Sub investigator
    • Sanjeev Kumar, MD · Sub investigator
    Not yet recruiting
08

References and documents

Publications

  • Robinson JL, Lee EB, Xie SX, Rennert L, Suh E, Bredenberg C, Caswell C, Van Deerlin VM, Yan N, Yousef A, Hurtig HI, Siderowf A, Grossman M, McMillan CT, Miller B, Duda JE, Irwin DJ, Wolk D, Elman L, McCluskey L, Chen-Plotkin A, Weintraub D, Arnold SE, Brettschneider J, Lee VM, Trojanowski JQ. Neurodegenerative disease concomitant proteinopathies are prevalent, age-related and APOE4-associated. Brain. 2018 Jul 1;141(7):2181-2193. doi: 10.1093/brain/awy146. PubMed 29878075 ↗
  • Frost GR, Jonas LA, Li YM. Friend, Foe or Both? Immune Activity in Alzheimer's Disease. Front Aging Neurosci. 2019 Dec 10;11:337. doi: 10.3389/fnagi.2019.00337. eCollection 2019. PubMed 31920620 ↗
  • Bergsma T, Rogaeva E. DNA Methylation Clocks and Their Predictive Capacity for Aging Phenotypes and Healthspan. Neurosci Insights. 2020 Jul 21;15:2633105520942221. doi: 10.1177/2633105520942221. eCollection 2020. PubMed 32743556 ↗
  • Zhang M, Tartaglia MC, Moreno D, Sato C, McKeever P, Weichert A, Keith J, Robertson J, Zinman L, Rogaeva E. DNA methylation age-acceleration is associated with disease duration and age at onset in C9orf72 patients. Acta Neuropathol. 2017 Aug;134(2):271-279. doi: 10.1007/s00401-017-1713-y. Epub 2017 Apr 24. PubMed 28439722 ↗
  • Zhang M, McKeever PM, Xi Z, Moreno D, Sato C, Bergsma T, McGoldrick P, Keith J, Robertson J, Zinman L, Rogaeva E. DNA methylation age acceleration is associated with ALS age of onset and survival. Acta Neuropathol. 2020 May;139(5):943-946. doi: 10.1007/s00401-020-02131-z. Epub 2020 Mar 7. No abstract available. PubMed 32146547 ↗
  • Thijssen EH, La Joie R, Wolf A, Strom A, Wang P, Iaccarino L, Bourakova V, Cobigo Y, Heuer H, Spina S, VandeVrede L, Chai X, Proctor NK, Airey DC, Shcherbinin S, Duggan Evans C, Sims JR, Zetterberg H, Blennow K, Karydas AM, Teunissen CE, Kramer JH, Grinberg LT, Seeley WW, Rosen H, Boeve BF, Miller BL, Rabinovici GD, Dage JL, Rojas JC, Boxer AL; Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) investigators. Diagnostic value of plasma phosphorylated tau181 in Alzheimer's disease and frontotemporal lobar degeneration. Nat Med. 2020 Mar;26(3):387-397. doi: 10.1038/s41591-020-0762-2. Epub 2020 Mar 2. PubMed 32123386 ↗
  • Janelidze S, Berron D, Smith R, Strandberg O, Proctor NK, Dage JL, Stomrud E, Palmqvist S, Mattsson-Carlgren N, Hansson O. Associations of Plasma Phospho-Tau217 Levels With Tau Positron Emission Tomography in Early Alzheimer Disease. JAMA Neurol. 2021 Feb 1;78(2):149-156. doi: 10.1001/jamaneurol.2020.4201. PubMed 33165506 ↗
  • Ashton NJ, Pascoal TA, Karikari TK, Benedet AL, Lantero-Rodriguez J, Brinkmalm G, Snellman A, Scholl M, Troakes C, Hye A, Gauthier S, Vanmechelen E, Zetterberg H, Rosa-Neto P, Blennow K. Plasma p-tau231: a new biomarker for incipient Alzheimer's disease pathology. Acta Neuropathol. 2021 May;141(5):709-724. doi: 10.1007/s00401-021-02275-6. Epub 2021 Feb 14. PubMed 33585983 ↗
  • Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen F, Karlawish J, Liu E, Molinuevo JL, Montine T, Phelps C, Rankin KP, Rowe CC, Scheltens P, Siemers E, Snyder HM, Sperling R; Contributors. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018. PubMed 29653606 ↗
  • Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Feldman HH, Frisoni GB, Hampel H, Jagust WJ, Johnson KA, Knopman DS, Petersen RC, Scheltens P, Sperling RA, Dubois B. A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers. Neurology. 2016 Aug 2;87(5):539-47. doi: 10.1212/WNL.0000000000002923. Epub 2016 Jul 1. PubMed 27371494 ↗
  • Amor S, Puentes F, Baker D, van der Valk P. Inflammation in neurodegenerative diseases. Immunology. 2010 Feb;129(2):154-69. doi: 10.1111/j.1365-2567.2009.03225.x. PubMed 20561356 ↗
  • Cuyvers E, Sleegers K. Genetic variations underlying Alzheimer's disease: evidence from genome-wide association studies and beyond. Lancet Neurol. 2016 Jul;15(8):857-868. doi: 10.1016/S1474-4422(16)00127-7. PubMed 27302364 ↗
  • Woollacott IOC, Nicholas JM, Heller C, Foiani MS, Moore KM, Russell LL, Paterson RW, Keshavan A, Schott JM, Warren JD, Heslegrave A, Zetterberg H, Rohrer JD. Cerebrospinal Fluid YKL-40 and Chitotriosidase Levels in Frontotemporal Dementia Vary by Clinical, Genetic and Pathological Subtype. Dement Geriatr Cogn Disord. 2020;49(1):56-76. doi: 10.1159/000506282. Epub 2020 Apr 28. PubMed 32344399 ↗
  • Sims R, Hill M, Williams J. The multiplex model of the genetics of Alzheimer's disease. Nat Neurosci. 2020 Mar;23(3):311-322. doi: 10.1038/s41593-020-0599-5. Epub 2020 Feb 28. PubMed 32112059 ↗
  • Leonenko G, Baker E, Stevenson-Hoare J, Sierksma A, Fiers M, Williams J, de Strooper B, Escott-Price V. Identifying individuals with high risk of Alzheimer's disease using polygenic risk scores. Nat Commun. 2021 Jul 23;12(1):4506. doi: 10.1038/s41467-021-24082-z. PubMed 34301930 ↗
  • Silbert LC, Dodge HH, Perkins LG, Sherbakov L, Lahna D, Erten-Lyons D, Woltjer R, Shinto L, Kaye JA. Trajectory of white matter hyperintensity burden preceding mild cognitive impairment. Neurology. 2012 Aug 21;79(8):741-7. doi: 10.1212/WNL.0b013e3182661f2b. Epub 2012 Jul 25. PubMed 22843262 ↗
  • Gouw AA, Seewann A, van der Flier WM, Barkhof F, Rozemuller AM, Scheltens P, Geurts JJ. Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations. J Neurol Neurosurg Psychiatry. 2011 Feb;82(2):126-35. doi: 10.1136/jnnp.2009.204685. Epub 2010 Oct 9. PubMed 20935330 ↗
  • Shim YS, Yang DW, Roe CM, Coats MA, Benzinger TL, Xiong C, Galvin JE, Cairns NJ, Morris JC. Pathological correlates of white matter hyperintensities on magnetic resonance imaging. Dement Geriatr Cogn Disord. 2015;39(1-2):92-104. doi: 10.1159/000366411. Epub 2014 Nov 8. PubMed 25401390 ↗
  • Snyder HM, Corriveau RA, Craft S, Faber JE, Greenberg SM, Knopman D, Lamb BT, Montine TJ, Nedergaard M, Schaffer CB, Schneider JA, Wellington C, Wilcock DM, Zipfel GJ, Zlokovic B, Bain LJ, Bosetti F, Galis ZS, Koroshetz W, Carrillo MC. Vascular contributions to cognitive impairment and dementia including Alzheimer's disease. Alzheimers Dement. 2015 Jun;11(6):710-7. doi: 10.1016/j.jalz.2014.10.008. Epub 2014 Dec 12. PubMed 25510382 ↗
  • Alosco ML, Sugarman MA, Besser LM, Tripodis Y, Martin B, Palmisano JN, Kowall NW, Au R, Mez J, DeCarli C, Stein TD, McKee AC, Killiany RJ, Stern RA. A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis. 2018;63(4):1347-1360. doi: 10.3233/JAD-180017. PubMed 29843242 ↗
  • Grimmer T, Faust M, Auer F, Alexopoulos P, Forstl H, Henriksen G, Perneczky R, Sorg C, Yousefi BH, Drzezga A, Kurz A. White matter hyperintensities predict amyloid increase in Alzheimer's disease. Neurobiol Aging. 2012 Dec;33(12):2766-73. doi: 10.1016/j.neurobiolaging.2012.01.016. Epub 2012 Mar 10. PubMed 22410648 ↗
  • Whitwell JL, Avula R, Senjem ML, Kantarci K, Weigand SD, Samikoglu A, Edmonson HA, Vemuri P, Knopman DS, Boeve BF, Petersen RC, Josephs KA, Jack CR Jr. Gray and white matter water diffusion in the syndromic variants of frontotemporal dementia. Neurology. 2010 Apr 20;74(16):1279-87. doi: 10.1212/WNL.0b013e3181d9edde. PubMed 20404309 ↗
  • Zhang Y, Schuff N, Du AT, Rosen HJ, Kramer JH, Gorno-Tempini ML, Miller BL, Weiner MW. White matter damage in frontotemporal dementia and Alzheimer's disease measured by diffusion MRI. Brain. 2009 Sep;132(Pt 9):2579-92. doi: 10.1093/brain/awp071. Epub 2009 May 12. PubMed 19439421 ↗
  • Freedman M, Leach L, Carmela Tartaglia M, Stokes KA, Goldberg Y, Spring R, Nourhaghighi N, Gee T, Strother SC, Alhaj MO, Borrie M, Darvesh S, Fernandez A, Fischer CE, Fogarty J, Greenberg BD, Gyenes M, Herrmann N, Keren R, Kirstein J, Kumar S, Lam B, Lena S, McAndrews MP, Naglie G, Partridge R, Rajji TK, Reichmann W, Uri Wolf M, Verhoeff NPLG, Waserman JL, Black SE, Tang-Wai DF. The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment. Alzheimers Res Ther. 2018 Jul 18;10(1):65. doi: 10.1186/s13195-018-0382-y. PubMed 30021658 ↗
  • Prive F, Vilhjalmsson BJ, Aschard H, Blum MGB. Making the Most of Clumping and Thresholding for Polygenic Scores. Am J Hum Genet. 2019 Dec 5;105(6):1213-1221. doi: 10.1016/j.ajhg.2019.11.001. Epub 2019 Nov 21. PubMed 31761295 ↗
  • Zhang M, Ferrari R, Tartaglia MC, Keith J, Surace EI, Wolf U, Sato C, Grinberg M, Liang Y, Xi Z, Dupont K, McGoldrick P, Weichert A, McKeever PM, Schneider R, McCorkindale MD, Manzoni C, Rademakers R, Graff-Radford NR, Dickson DW, Parisi JE, Boeve BF, Petersen RC, Miller BL, Seeley WW, van Swieten JC, van Rooij J, Pijnenburg Y, van der Zee J, Van Broeckhoven C, Le Ber I, Van Deerlin V, Suh E, Rohrer JD, Mead S, Graff C, Oijerstedt L, Pickering-Brown S, Rollinson S, Rossi G, Tagliavini F, Brooks WS, Dobson-Stone C, Halliday GM, Hodges JR, Piguet O, Binetti G, Benussi L, Ghidoni R, Nacmias B, Sorbi S, Bruni AC, Galimberti D, Scarpini E, Rainero I, Rubino E, Clarimon J, Lleo A, Ruiz A, Hernandez I, Pastor P, Diez-Fairen M, Borroni B, Pasquier F, Deramecourt V, Lebouvier T, Perneczky R, Diehl-Schmid J, Grafman J, Huey ED, Mayeux R, Nalls MA, Hernandez D, Singleton A, Momeni P, Zeng Z, Hardy J, Robertson J, Zinman L, Rogaeva E; International FTD-Genomics Consortium (IFGC). A C6orf10/LOC101929163 locus is associated with age of onset in C9orf72 carriers. Brain. 2018 Oct 1;141(10):2895-2907. doi: 10.1093/brain/awy238. PubMed 30252044 ↗
  • Zhang M, Xi Z, Saez-Atienzar S, Chia R, Moreno D, Sato C, Montazer Haghighi M, Traynor BJ, Zinman L, Rogaeva E. Combined epigenetic/genetic study identified an ALS age of onset modifier. Acta Neuropathol Commun. 2021 Apr 23;9(1):75. doi: 10.1186/s40478-021-01183-w. PubMed 33892821 ↗
  • Visanji NP, Ghani M, Yu E, Kakhki EG, Sato C, Moreno D, Naranian T, Poon YY, Abdollahi M, Naghibzadeh M, Rajalingam R, Lozano AM, Kalia SK, Hodaie M, Cohn M, Statucka M, Boutet A, Elias GJB, Germann J, Munhoz R, Lang AE, Gan-Or Z, Rogaeva E, Fasano A. Axial Impairment Following Deep Brain Stimulation in Parkinson's Disease: A Surgicogenomic Approach. J Parkinsons Dis. 2022;12(1):117-128. doi: 10.3233/JPD-212730. PubMed 34602499 ↗
  • Fischl B, van der Kouwe A, Destrieux C, Halgren E, Segonne F, Salat DH, Busa E, Seidman LJ, Goldstein J, Kennedy D, Caviness V, Makris N, Rosen B, Dale AM. Automatically parcellating the human cerebral cortex. Cereb Cortex. 2004 Jan;14(1):11-22. doi: 10.1093/cercor/bhg087. PubMed 14654453 ↗
  • Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 1999 Feb;9(2):179-94. doi: 10.1006/nimg.1998.0395. PubMed 9931268 ↗
  • Fischl B, Dale AM. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):11050-5. doi: 10.1073/pnas.200033797. PubMed 10984517 ↗
  • Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, Black SE, Brayne C, Breteler M, Chabriat H, Decarli C, de Leeuw FE, Doubal F, Duering M, Fox NC, Greenberg S, Hachinski V, Kilimann I, Mok V, Oostenbrugge Rv, Pantoni L, Speck O, Stephan BC, Teipel S, Viswanathan A, Werring D, Chen C, Smith C, van Buchem M, Norrving B, Gorelick PB, Dichgans M; STandards for ReportIng Vascular changes on nEuroimaging (STRIVE v1). Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013 Aug;12(8):822-38. doi: 10.1016/S1474-4422(13)70124-8. PubMed 23867200 ↗
  • Schmidt P, Gaser C, Arsic M, Buck D, Forschler A, Berthele A, Hoshi M, Ilg R, Schmid VJ, Zimmer C, Hemmer B, Muhlau M. An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. Neuroimage. 2012 Feb 15;59(4):3774-83. doi: 10.1016/j.neuroimage.2011.11.032. Epub 2011 Nov 18. PubMed 22119648 ↗

Individual participant data

Plan to share: No — Individual participant data will not be available to other researchers. Only anonymized responses to the cognitive assessment, clinical assessment, behavioural questionnaires and biofluid protein levels will be shared.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Nov 20, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06529744
Lead sponsor
University Health Network, Toronto
Collaborators
Sunnybrook Health Sciences Centre, Baycrest, Centre for Addiction and Mental Health, Toronto Dementia Research Alliance (TDRA), University of Toronto
Responsible party
Carmela Tartaglia (Principal Investigator, University Health Network, Toronto) — Principal investigator
First posted
Jul 31, 2024
Start date
Nov 11, 2023
Primary completion
Nov 2026 (estimated)
Completion
Nov 2027 (estimated)
Last update
Nov 20, 2025

Study contacts

Claudia Clementi, HBSc
Contact
claudia.clementi@uhn.ca
416-603-5914
Maria C Tartaglia, M.D.
principal investigator · Toronto Western Hospital, UHN; Tanz CRND

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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