Key result
Proposed retinal biomarker framework for preclinical Alzheimer's emphasizes cross-disciplinary collaboration and shared imaging platforms.
Why the study?
Developing disease-modifying Alzheimer's disease therapeutics depends on developing clinical tools to detect high risk in the earliest phases of the disease at the population level.
Proposes a cross-disciplinary framework using retinal biomarkers to detect and track preclinical Alzheimer's disease, analogous to diabetes risk monitoring.
Retinal biomarkers for preclinical AD remain exploratory; leaves open the need for standardized platforms and prospective validation before clinical use.
There exists a public health imperative to discover and to develop disease-modifying Alzheimer's disease (AD) therapeutics to protect the health of millions of individuals facing AD. Achievement of this goal will be dependent on developing the clinical tools to detect high risk, in the earliest phases of the disease, and at the population level. This article describes the study of retinal biomarkers for the identification of, and tracking of change over time for, individuals in the preclinical stage of AD and substantiates the need for a major cross-disciplinary effort for comparison across labs and clinical sites using diabetes risk monitoring as a perfect analogy. Proposed framework would: (1) support AD working groups across disciplines; (2) establish common imaging platforms to develop and test basic standards, and minimum datasets to embrace and test novel innovations as they emerge; and (3) accelerate AD prevention and quality improvement in real-world care.
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Dueñas et al. (2020) conducted a review in Alzheimer's disease. Retinal biomarkers was evaluated. A proposed framework for retinal biomarkers in preclinical Alzheimer's disease emphasizes cross-disciplinary collaboration and common imaging platforms akin to diabetes risk monitoring.
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