Beyond Alzheimer’s disease—translating biomarker insights across CNS diseases

Decades of research on biomarker identification and integration in Alzheimer's disease (AD) have helped to advance biologically driven disease models, disease subtypes, and disease-modifying treatments. Key lessons learned from AD biomarker development include the need for integration of new biological insights, investment in large cross-sectional and longitudinal studies, a multicomponent biomarker approach, and recruitment of clinical trial cohorts and biosamples that are representative of the target population. We describe how these lessons are being applied in Parkinson's disease, Huntington's disease, multiple sclerosis, and psychotic disorders as use cases to inform biomarker-based approaches across central nervous system disorders.

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Publication Details

Journal
Science Translational Medicine
Published
2025-11-05
DOI
https://doi.org/10.1126/scitranslmed.adr2511
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Alzheimer’s disease—translating biomarker insights across CNS diseases

Simin Mahinrad, Alan Anticevic, Clifford R. Jack, Rebecca M. Edelmayer et al.
Science Translational Medicine
Alzheimer's disease research and treatments
article

Beyond Alzheimer’s disease—translating biomarker insights across CNS diseases

Simin Mahinrad, Alan Anticevic, Clifford R. Jack, Rebecca M. Edelmayer, Samantha J. Hutten, Charisse N. Winston, Linda S. Brady, Timothy Coetzee, Carol Taylor‐Burds, Jane S. Paulsen, Valentina Mantua, Sudhir Sivakumaran, William J. Jagust, William Z. Potter, Hartmuth C. Kolb, Eva P. Childers, Leslie M. Shaw, John A. Wagner, Vikas Sharma
article en

Abstract

Decades of research on biomarker identification and integration in Alzheimer's disease (AD) have helped to advance biologically driven disease models, disease subtypes, and disease-modifying treatments. Key lessons learned from AD biomarker development include the need for integration of new biological insights, investment in large cross-sectional and longitudinal studies, a multicomponent biomarker approach, and recruitment of clinical trial cohorts and biosamples that are representative of the target population. We describe how these lessons are being applied in Parkinson's disease, Huntington's disease, multiple sclerosis, and psychotic disorders as use cases to inform biomarker-based approaches across central nervous system disorders.

Science Translational MedicineVol. 17(823)
University of Southern California (US), Alzheimer's Association (US), United States Food and Drug Administration (US), Mayo Clinic (US), National Multiple Sclerosis Society (US), University of Wisconsin–Madison (US), National Academies of Sciences, Engineering, and Medicine (US), WinnMed (US), Michael J. Fox Foundation (US), Knoxville College (US), Yale University (US), National Institute of Neurological Disorders and Stroke (US), Nia Association (US), ISO Arzneimittel (Germany) (DE), Bioinstitut (CZ), National Institute of Mental Health (US), University of Pennsylvania (US), Southern States University (US), Philadelphia University (US), University of California, Berkeley (US)
Openalex Percentile: Top 59%
Alzheimer's disease research and treatments
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