- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06529744
Improving Prognostic Confidence in Neurodegenerative Diseases Causing Dementia Using Peripheral Biomarkers and Integrative Modeling (CRND TorCA)
November 17, 2025 updated by: Carmela Tartaglia, University Health Network, Toronto
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).
Study Overview
Status
Recruiting
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.
Study Type
Observational
Enrollment (Estimated)
500
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Claudia Clementi, HBSc
- Phone Number: 416-603-5914
- Email: claudia.clementi@uhn.ca
Study Locations
-
-
Ontario
-
North York, Ontario, Canada, M6A 2E1
- Not yet recruiting
- Baycrest
-
Contact:
- Aymin Mumtaz
- Phone Number: 6324 416-785-2500
- Email: amumtaz@research.baycrest.org
-
Sub-Investigator:
- Morris Freedman, MD
-
Toronto, Ontario, Canada, M4N 3M5
- Not yet recruiting
- Sunnybrook Health Sciences Centre
-
Contact:
- Ljubica Zotovic
- Phone Number: 3004 416-480-6100
- Email: ljubica.zotovic@sunnybrook.ca
-
Sub-Investigator:
- Sandra E Black, MD
-
Toronto, Ontario, Canada, M5T 2S8
- Recruiting
- Toronto Western Hospital, University Health Network
-
Contact:
- Claudia Clementi
- Phone Number: 416-603-5914
- Email: claudia.clementi@uhn.ca
-
Principal Investigator:
- Maria C Tartaglia, MD
-
Toronto, Ontario, Canada, M6J 1H1
- Not yet recruiting
- Centre for Addiction and Mental Health
-
Sub-Investigator:
- Sanjeev Kumar, MD
-
Sub-Investigator:
- Tarek Rajji, MD
-
Contact:
- Loreque Fearon, BASc
- Phone Number: 39589 416-535-8501
- Email: Loreque.Fearon@camh.ca
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
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.
Description
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:
- 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.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cognitive phenotype
Time Frame: Baseline, 6-month follow-up, 1-year follow-up
|
Change in Toronto Cognitive Assessment (TorCA) scores out of 330, where lower scores indicate increasing cognitive impairments, and individual domains.
|
Baseline, 6-month follow-up, 1-year follow-up
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Neurodegenerative protein levels in biofluids and skin biopsy
Time Frame: Baseline, 6-month follow-up, 1-year follow-up
|
Differences in protein levels between neurodegenerative diagnoses and predictive ability for change in TorCA
|
Baseline, 6-month follow-up, 1-year follow-up
|
|
Assessment of DNA methylation (DNAm) from bloodwork
Time Frame: Baseline
|
Biological age from DNA methylation (DNAm) collected via bloodwork compared to chronological age.
|
Baseline
|
|
Structural and Functional Differences between neurodegenerative diseases via MRI of the brain
Time Frame: Baseline
|
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.
|
Baseline
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Maria C Tartaglia, M.D., Toronto Western Hospital, UHN; Tanz CRND
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
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- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 11, 2023
Primary Completion (Estimated)
November 1, 2026
Study Completion (Estimated)
November 1, 2027
Study Registration Dates
First Submitted
April 29, 2024
First Submitted That Met QC Criteria
July 26, 2024
First Posted (Actual)
July 31, 2024
Study Record Updates
Last Update Posted (Actual)
November 20, 2025
Last Update Submitted That Met QC Criteria
November 17, 2025
Last Verified
November 1, 2025
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Synucleinopathies
- Neurologic Manifestations
- Cerebrovascular Disorders
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Mental Disorders
- Metabolic Diseases
- Neurobehavioral Manifestations
- Neurocognitive Disorders
- Eye Diseases
- Cognition Disorders
- Tauopathies
- Neurodegenerative Diseases
- Movement Disorders
- Parkinsonian Disorders
- Basal Ganglia Diseases
- Cranial Nerve Diseases
- TDP-43 Proteinopathies
- Proteostasis Deficiencies
- Arteriosclerosis
- Arterial Occlusive Diseases
- Leukoencephalopathies
- Intracranial Arteriosclerosis
- Intracranial Arterial Diseases
- Communication Disorders
- Ophthalmoplegia
- Ocular Motility Disorders
- Paralysis
- Language Disorders
- Aphasia
- Speech Disorders
- Frontotemporal Lobar Degeneration
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Corticobasal Degeneration
- Cognitive Dysfunction
- Alzheimer Disease
- Parkinson Disease
- Dementia
- Frontotemporal Dementia
- Aphasia, Primary Progressive
- Dementia, Vascular
- Supranuclear Palsy, Progressive
- Lewy Body Disease
Other Study ID Numbers
- 24-5283
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
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.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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