A Precision Medicine Initiative for Alzheimer’s disease: the road ahead to biomarker-guided integrative disease modeling
Open accessAbstract
After intense scientific exploration and more than a decade of failed trials, Alzheimer's disease (AD) remains a fatal global epidemic. A traditional research and drug development paradigm continues to target heterogeneous late-stage clinically phenotyped patients with single 'magic bullet' drugs. Here, we propose that it is time for a paradigm shift towards the implementation of precision medicine (PM) for enhanced risk screening, detection, treatment, and prevention of AD. The overarching structure of how PM for AD can be achieved will be provided through the convergence of breakthrough technological advances, including big data science, systems biology, genomic sequencing, blood-based biomarkers, integrated disease modeling and P4 medicine. It is hypothesized that deconstructing AD into multiple genetic and biological subsets existing within this heterogeneous target population will provide an effective PM strategy for treating individual patients with the specific agent(s) that are likely to work best based on the specific individual biological make-up. The Alzheimer's Precision Medicine Initiative (APMI) is an international collaboration of leading interdisciplinary clinicians and scientists devoted towards the implementation of PM in Neurology, Psychiatry and Neuroscience. It is hypothesized that successful realization of PM in AD and other neurodegenerative diseases will result in breakthrough therapies, such as in oncology, with optimized safety profiles, better responder rates and treatment responses, particularly through biomarker-guided early preclinical disease-stage clinical trials.
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High-throughput omics data has been central to developing precision medicine biomarkers for Alzheimer's, diabetes, cancer, hypertension, cardiovascular and chronic respiratory diseases.
“High-throughput generated omics data (Lightbody et al., 2019) has played a pivotal role in developing precision medicine biomarkers for diseases such as Alzheimer's (Hampel et al., 2017(Hampel et al., , 2016;;Kovacs, 2016), diabetes (Capobianco, 2017;McCarthy, 2017;Mutie et al., 2017), cancer (Borad and LoRusso, 2017;Senft et al., 2017), hypertension (Barnes et al., 2016;Dominiczak et al., 2017),”
From Using machine learning approaches for multi-omics data analysis: A review (2021) · cites this paper as Hampel et al., 2017
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References 92 · Cited by 147
Research works printed but not linked: 2
- 15 National Research Council (US) Committee on a Framework for Developing a New Taxonomy of Disease. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease . Washington (DC): National Academies Press (US), 2011
- 91 Schiratti JB, Allassonniere S, Colliot O, Durrleman S. Learning spatiotemporal trajectories from manifold-valued longitudinal data. Presented at the Advances in Neural Information Processing Systems 28 (NIPS 2015) , 2015: 2404-12
- Authors
- Hampel, H., O’Bryant, S. E., Durrleman, S., Younesi, E., Rojkova, K., Escott-Price, V., Corvol, J.-C., Broich, K., Dubois, B., Lista, S., & Initiative, F. T. A. P. M.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- University of North Texas Health Science Center (US)
- European Society for Translational Medicine, Vienna, Austria;
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK;
- Federal Institute for Drugs and Medical Devices (DE)
- Corresponding author
- Hampel, H.
- Lista, S.
- Venue
- Climacteric
- Publisher
- Informa UK Limited
- Published
- 2017-02-09
- Volume
- 20
- Issue
- 2
- Pages
- 107-118
- ISSN
- 1369-7137 (ISSN-L)
- 1473-0804
- OpenAlex
- W2586074729
- Cited by
- 147
- References
- 92
- Citations by year
- 2026: 16 · 2025: 10 · 2024: 14 · 2023: 8 · 2022: 9 · 2021: 14 · 2020: 15 · 2019: 27 · 2018: 27 · 2017: 7
- FWCI
- 3.15
- Type
- journal article
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- other-oa
- Locations
- Climacteric (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- HAL (submittedVersion, other-oa)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- Fondation Université Pierre et Marie Curie
- Fondation pour la Recherche sur Alzheimer,
- National Institute on Aging of the National Institutes of Health
- European Research Council (678304, 666992)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, precision medicine, biomarkers, P4 medicine, blood-based biomarkers, genetic heterogeneity, preclinical disease detection, risk screening, neurodegenerative diseases, drug development, big data, systems biology, genome sequencing
- MeSH terms
- Alzheimer Disease, Health Services Needs and Demand, Humans, International Cooperation, Biomarkers, Precision Medicine
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