Blood‐based Biomarkers to Evaluate the Effectiveness of Individualized Alzheimer’s Risk Reduction Care: The Future of Preventive Neurology?
Abstract Background Alzheimer's disease (AD), Dementia with Lewy Bodies (DLB), and other neurodegenerative diseases (NDD) develop over an extended preclinical period, sharing common risk factors and underlying pathophysiological mechanisms. Plasma proteins, including Amyloid‐beta peptides (Aβ) and Tau isoforms, facilitate differential diagnosis of NDD in their earliest stages, allowing for timely delivery of targeted interventions. Blood‐based biomarkers may also serve as a reliable means of monitoring disease progression and evaluating the effectiveness of individualized interventions across the spectrum of disease. Method Participants (≥25 years) with a family history of AD/NDD with no or minimal neurological complaints, and those with a prior diagnosis of AD/NDD, are recruited for the Biomarker Repository for Alzheimer’s & Neurodegenerative Diseases (BioRAND) Study. Demographics, expanded medical history, APOE genotype, cognitive assessments, and NDD biomarkers including Aβ42/40 ratio, pTau217, Neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) (via venipuncture and/or at‐home finger prick card testing) are collected. Clinical and/or research biomarkers include the commercially‐available C 2 N liquid‐chromatography‐tandem mass spectrometry amyloid assay, AlzPath SIMOA pTau217 assay, and Quanterix SIMOA amyloid, NfL and GFAP assays, which are collected at baseline and longitudinally. Participants have the option of sharing clinical data pertaining to NDD risk reduction interventions prescribed by their physicians. Result Recruitment is ongoing (n=75) with 42 participants (56%) having biomarkers from ≥2 timepoints. Demographics and participant characteristics are summarized in Table 1. Fifteen (20%) participants provided clinical data with biomarkers measured before and after risk reduction interventions. Interventions included multi‐modal lifestyle recommendations (e.g., exercise, nutrition), FDA‐approved anti‐amyloid immunotherapies, pharmacological therapies to address modifiable risk factors (e.g., tirzepatide, rosuvastatin, escitalopram, hormone replacement therapy, suvorexant), and proposed geroprotective agents (e.g., rapamycin). Significant improvements (paired t‐test) were found on C 2 N Aβ42/40 ratio (p<0.05) and AlzPath pTau217 (p<0.005). Biomarker results in Table 2 Conclusion Evaluating the effectiveness of individualized AD/NDD risk reduction care is feasible with blood‐based biomarkers. Improvements in amyloid and tau were observed across the preclinical to clinical spectrum of NDD. Further study in a large diverse cohort is warranted to determine the clinical utility of blood‐based biomarkers in preventive neurology care.
Authors
- Guglielmo Di Molfetta (ORCID: https://orcid.org/0009-0001-5339-933X)
- Hanna Huber (ORCID: https://orcid.org/0009-0004-3080-6870)
- Richard Isaacson (ORCID: https://orcid.org/0000-0002-0949-6204)
- Praveen Parthasarathy (ORCID: https://orcid.org/0000-0002-5910-9452)
- Diana Saville
- Philip Sisser
- Alon Seifan (ORCID: https://orcid.org/0000-0001-6470-3600)
- Michael John McCullough (ORCID: https://orcid.org/0000-0001-7829-4684)
- Jessica P. Lakis
- Hollie Hristov
- Maia Mossé
- J. Andrés Melendez (ORCID: https://orcid.org/0000-0001-8021-3097)
- Kellyann Niotis
- Corey Saperia (ORCID: https://orcid.org/0009-0003-2598-1482)
- Helena Colvee
- Nicholas J. Ashton
- Christopher Janney
- Shannon Helfman
- Henrik Zetterberg (ORCID: https://orcid.org/0000-0002-4671-6763)
- Danny Angerbauer
Institutions
- University of Miami (US)
- University of California, San Francisco (US)
- Stony Brook School (US)
- Institute for Neurodegenerative Disorders (US)
- Stony Brook University (US)
- University of Gothenburg (SE)
- Stanford University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/alz.088292
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00