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Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias.
Hu, William T; Nayyar, Ashima; Kaluzova, Milota.
Afiliación
  • Hu WT; Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA. william.hu@rutgers.edu.
  • Nayyar A; Center for Innovation in Health and Aging Research, Institute for Health, Health Care Policy, and Aging Research, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA. william.hu@rutgers.edu.
  • Kaluzova M; Department of Neurology, Rutgers Biomedical and Health Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson Street, Suite 6200, New Brunswick, NJ, 08901, USA.
Neurotherapeutics ; 20(4): 955-974, 2023 07.
Article en En | MEDLINE | ID: mdl-37378862
Clinical prediction of underlying pathologic substrates in people with Alzheimer's disease (AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic biomarkers - including cerebrospinal fluid (CSF) levels of AD proteins and cerebral amyloid PET imaging - have greatly modernized disease-modifying clinical trials in AD, but their integration into medical practice has been slow. Beyond core CSF AD biomarkers (including beta-amyloid 1-42, total tau, and tau phosphorylated at threonine 181), novel biomarkers have been interrogated in single- and multi-centered studies with uneven rigor. Here, we review early expectations for ideal AD/ADRD biomarkers, assess these goals' future applicability, and propose study designs and performance thresholds for meeting these ideals with a focus on CSF biomarkers. We further propose three new characteristics: equity (oversampling of diverse populations in the design and testing of biomarkers), access (reasonable availability to 80% of people at risk for disease, along with pre- and post-biomarker processes), and reliability (thorough evaluation of pre-analytical and analytical factors influencing measurements and performance). Finally, we urge biomarker scientists to balance the desire and evidence for a biomarker to reflect its namesake function, indulge data- as well as theory-driven associations, re-visit the subset of rigorously measured CSF biomarkers in large datasets (such as Alzheimer's disease neuroimaging initiative), and resist the temptation to favor ease over fail-safe in the development phase. This shift from discovery to application, and from suspended disbelief to cogent ingenuity, should allow the AD/ADRD biomarker field to live up to its billing during the next phase of neurodegenerative disease research.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neurotherapeutics Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neurotherapeutics Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos