Benoît Jobin, Zigrand Coline, Johannes Frasnelli, Benjamin Boller, Mark W Albers
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引用次数: 0
Abstract
Introduction: Odor identification correlates with Alzheimer's disease (AD) biomarkers, and its decline may emerge before measurable cognitive deficits - as early as the subjective cognitive decline (SCD) stage. We aimed to compare odor identification between SCD and cognitively normal (CN) stages.
Methods: A systematic search of four databases identified studies assessing olfactory identification and cognitive screening in individuals aged 50+. A random-effects meta-analysis was performed on 11 studies (660 SCD, 574 CN).
Results: Individuals with SCD exhibited lower olfactory identification scores compared to CN participants (SMD = -0.67, 95% CI [-1.31, -0.03], p = 0.04). Meta-regression revealed a negative association (β = -1.79, p = 0.02) between cognitive and olfactory differences; lower olfactory identification scores in SCD occurred despite minimal cognitive differences across groups.
Discussion: Odor identification is lower in pre-mild cognitive impairment individuals reporting SCD. Olfactory decline may emerge prior to measurable general cognitive decline, supporting its role as a screen for AD.
Highlights: Individuals with SCD exhibit lower odor identification scores.Olfactory identification may serve as an early marker of neurodegeneration in preclinical AD.Heterogeneity highlights the need for multimodal biomarker approaches.
期刊介绍:
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.