Methods and Initial Data for A Massive Real‐World Deeply Phenotyped Cohort Study

Abstract Background Recent therapeutic successes in the treatment of Alzheimer’s disease (AD), and diagnostic tools such as blood‐based biomarkers, have energised the field to develop more specific diagnostics and therapies following the best principles of precision medicine. Large, ‘real‐world’ cohorts are needed to understand whether these, and other future breakthroughs, are valid when employed in the wider AD community. Methods Our cohort study will provide a well‐phenotyped (combining data on risk factors for neurodegenerative disease, cognitive assessment results, disease biomarkers and genetics) population aged 50 and above across the spectrum of risk for, and the earliest disease stages of, neurodegeneration (beginning in Scotland). Participants complete an innovative cognitive testing battery (combining elements of the ACE‐R (including MMSE), TICS, RBANS and digital cognitive tests), assessments of global functioning, questionnaires about risk factors for neurodegenerative disease, physical health assessments and collection of blood samples for clinical blood tests and storage for future research. A sub‐set of participants are invited to join the Enhanced Phenotyping cohort and additionally undergo brain MRIs and lumbar punctures. Cerebrospinal fluid will be analysed for amyloid beta‐42, phosphorylated tau‐181 and total tau, with additional aliquots stored for future research use. Participants will be followed up every 6 months to complete questionnaires, with more comprehensive visits annually. A minimum of 3000 participants will be recruited to the Enhanced Phenotype cohort with an estimated 7,000 in the cohort overall. Results A total of 11 participants have been recruited to the cohort to date (mean age: 69 years; 6 (55%) female). Mean ACE‐R and MMSE scores are 92 and 28 respectively. Data collection is ongoing with recruitment anticipated to continue throughout 2024 and 2025, with a minimum of 100 participants recruited by July 2024. Baseline data, including AD biomarker status where available, will be presented at AAIC 2024. Conclusion This an ambitious project aiming to recruit a deeply phenotyped, real‐world representative cohort of participants across the spectrum of risk for, and in the earliest stages of, neurodegenerative conditions. The data and samples collected as part of this cohort will be invaluable to better understanding disease trajectories, and developing and testing new diagnostics and therapeutics.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092172
Primary Topic
Health, Environment, Cognitive Aging
Type
article
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article

Methods and Initial Data for A Massive Real‐World Deeply Phenotyped Cohort Study

Alison Green, Aurora Poon, Craig Ritchie, Tanya van der Westhuizen et al.
Alzheimer s & Dementia
Health, Environment, Cognitive Aging
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Methods and Initial Data for A Massive Real‐World Deeply Phenotyped Cohort Study

Alison Green, Aurora Poon, Craig Ritchie, Tanya van der Westhuizen, Miles Welstead, Sarah Gregory, John Harrison, Kristiina Rannikmäe, Ayeda Nadeem, Zain S Hussain, Joseph Milne, Tara Noonan, Clara Doran, Laura Kaminioti‐Dumont, Andrew Lan
article en

Abstract

Abstract Background Recent therapeutic successes in the treatment of Alzheimer’s disease (AD), and diagnostic tools such as blood‐based biomarkers, have energised the field to develop more specific diagnostics and therapies following the best principles of precision medicine. Large, ‘real‐world’ cohorts are needed to understand whether these, and other future breakthroughs, are valid when employed in the wider AD community. Methods Our cohort study will provide a well‐phenotyped (combining data on risk factors for neurodegenerative disease, cognitive assessment results, disease biomarkers and genetics) population aged 50 and above across the spectrum of risk for, and the earliest disease stages of, neurodegeneration (beginning in Scotland). Participants complete an innovative cognitive testing battery (combining elements of the ACE‐R (including MMSE), TICS, RBANS and digital cognitive tests), assessments of global functioning, questionnaires about risk factors for neurodegenerative disease, physical health assessments and collection of blood samples for clinical blood tests and storage for future research. A sub‐set of participants are invited to join the Enhanced Phenotyping cohort and additionally undergo brain MRIs and lumbar punctures. Cerebrospinal fluid will be analysed for amyloid beta‐42, phosphorylated tau‐181 and total tau, with additional aliquots stored for future research use. Participants will be followed up every 6 months to complete questionnaires, with more comprehensive visits annually. A minimum of 3000 participants will be recruited to the Enhanced Phenotype cohort with an estimated 7,000 in the cohort overall. Results A total of 11 participants have been recruited to the cohort to date (mean age: 69 years; 6 (55%) female). Mean ACE‐R and MMSE scores are 92 and 28 respectively. Data collection is ongoing with recruitment anticipated to continue throughout 2024 and 2025, with a minimum of 100 participants recruited by July 2024. Baseline data, including AD biomarker status where available, will be presented at AAIC 2024. Conclusion This an ambitious project aiming to recruit a deeply phenotyped, real‐world representative cohort of participants across the spectrum of risk for, and in the earliest stages of, neurodegenerative conditions. The data and samples collected as part of this cohort will be invaluable to better understanding disease trajectories, and developing and testing new diagnostics and therapeutics.

Alzheimer s & DementiaVol. 20(S7)
King's College London (GB), NHS Forth Valley (GB), Amsterdam University Medical Centers (NL), University of Glasgow (GB), Vrije Universiteit Amsterdam (NL), University of Edinburgh (GB)
Openalex Percentile: Top 64%
Health, Environment, Cognitive Aging
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