Neurodegenerative Diseases: The Value of Early Predictive End Points
- PMID: 35234294
- DOI: 10.1002/cpt.2544
Neurodegenerative Diseases: The Value of Early Predictive End Points
Abstract
Use of early predictive biomarkers of neurodegenerative disease in phase I clinical trials may improve the translation of novel drug therapies from preclinical development through late-stage studies. This article provides a categorical summary of promising biomarker approaches or clinical end points in molecular, cellular, metabolic, electrophysiological, or clinical function that can be used to predict or quantify the progression of neurodegenerative disorders and guide program support.
© 2022 The Authors. Clinical Pharmacology & Therapeutics © 2022 American Society for Clinical Pharmacology and Therapeutics.
References
-
- Bos, I. et al. Cerebrospinal fluid biomarkers of neurodegeneration, synaptic integrity, and astroglial activation across the clinical Alzheimer’s disease spectrum. Alzheimers Dement. 15, 644-654 (2019).
-
- Mattsson, N., Cullen, N.C., Andreasson, U., Zetterberg, H. & Blennow, K. Association between longitudinal plasma neurofilament light and neurodegeneration in patients with Alzheimer disease. JAMA Neurol. 76, 791-799 (2019).
-
- Lorio, S., Sambataro, F., Bertolino, A., Draganski, B. & Dukart, J. The combination of DAT-SPECT, structural and diffusion MRI predicts clinical progression in Parkinson’s disease. Front. Aging Neurosci. 11, 57 (2019).
-
- Marek, K. et al. The Parkinson's progression markers initiative (PPMI) - establishing a PD biomarker cohort. Ann. Clin. Transl. Neurol. 5, 1460-1477 (2018).
-
- Iaccarino, L. et al. A cross validation of FDG- and amyloid-PET biomarkers in mild cognitive impairment for the risk prediction to dementia due to Alzheimer’s disease in a clinical setting. J. Alzheimers Dis. 59, 603-614 (2017).
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
