- July 8, 2026
Product:
CNS Disease Panel 120
Topic:
CNS
Disease Area:
Alzheimer's Disease, Cognitive Decline
Sample Type:
Plasma
Abstract
INTRODUCTION
Identifying individuals who undergo cognitive decline is vital to the success of prevention trials that aim to slow cognitive decline. Yet, the benefits of using blood-based biomarkers of neurodegeneration, as well as amyloid and tau, to enrich population-based prevention trials have not been quantified.
METHODS
The association of thresholds of Quanterix single molecule array (SiMoA) assays with subsequent change in cognition was estimated in the Atherosclerosis Risk in Communities cohort (N = 1826) using linear mixed effects models, validated in the Multi-Ethnic Study of Atherosclerosis cohort (N = 383), and extended to Alamar Nucleic acid Linked Immuno-Sandwich Assay (NULISA) assays in the Aging and Cognitive Health Evaluation in Elders cohort (N = 552).
RESULTS
Elevated plasma biomarker levels identified dementia-free older adults with faster cognitive decline. By selecting participants with Quanterix SiMoA measurements of neurofilament light > 30.65 pg/mL, the sample size needed to detect a 33% reduction in cognitive decline in a clinical trial decreased by 57%.
DISCUSSION
Clinical trials can use plasma biomarkers as a screening tool to increase statistical power.
Highlights
- Dementia prevention trials comprised of healthy volunteers with minimal cognitive decline are often underpowered.
- Randomized controlled trials can be enriched using plasma biomarkers.
- The effect of using plasma biomarkers to enrich trials was estimated in the Atherosclerosis Risk in Communities, Multi-Ethnic Study of Atherosclerosis, and Aging and Cognitive Health Evaluation in Elders cohorts.
- Plasma biomarkers identified dementia-free older adults with faster cognitive decline.
- Plasma biomarker enrichment decreased the sample needed to detect an intervention effect by 57%.
Authors and Affiliations
James Russell Pike¹, Yongmei Liu², Theresa Chisolm³, Jennifer Deal⁴˒⁵˒⁶, Jingzhong Ding⁷, Rebecca F. Gottesman⁸, Alison Huang¹, Timothy M. Hughes⁷, Kurt Lohman², Mason McCray², Thomas H. Mosley⁹, Anh Tram Nguyen², Priya Palta¹⁰, Nicholas Reed¹, Kevin J. Sullivan⁹, Bharat Thyagarajan¹¹, Keenan A. Walker¹², and Josef Coresh¹
¹ Optimal Aging Institute, New York University Grossman School of Medicine, New York, New York, USA
² Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina, USA
³ Department of Communication Sciences & Disorders, College of Behavioral & Community Sciences, University of South Florida, Tampa, Florida, USA
⁴ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
⁵ Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
⁶ Department of Otolaryngology-Head & Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
⁷ Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
⁸ National Institute of Neurological Disorders & Stroke Intramural Research Program, National Institutes of Health, Bethesda, Maryland, USA
⁹ The MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, USA
¹⁰ Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
¹¹ Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
¹² Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, Maryland, USA
