Introduction: Alzheimer's disease consensus recommends biomarker dichotomization, a practice with well-described clinical strengths and methodological limitations. Although neuroimaging studies have explored alternative biomarker interpretation strategies, a formally defined three-range approach and its prognostic impact remains under-explored for cerebrospinal fluid (CSF) biomarkers .
Methods: With two-graph receiver-operating characteristics based on different reference schemes, we derived three-range cut-points for CSF Elecsys biomarkers. According to baseline CSF status, we assessed the prognostic utility of this in predicting risk of clinical progression and longitudinal trajectories of cognitive decline and amyloid-beta (Aβ) positron emission tomography (PET) accumulation in non-demented individuals (Alzheimer's Disease Neuroimaging Initiative [ADNI]; n = 1246). In all analyses, we compared herein-derived three-range CSF cut-points to previously described binary ones.
Results: In our main longitudinal analyses, we highlight CSF p-tau/Aβ three-range cut-points derived based on the cognitively normal Aβ-PET negative versus dementia Aβ-PET positive reference scheme for best depicting a prognostically relevant biomarker abnormality range. Longitudinally, our approach revealed a divergent intermediate cognitive trajectory undetected by dichotomization and a clearly abnormal group at higher risk for cognitive decline, with power analyses suggesting the latter group as potential trial enrichment candidates. Furthermore, we demonstrate that individuals with intermediate-range CSF status have similar rates of Aβ deposition to those in the clearly abnormal group.
Discussion: The proposed approach can refine clinico-biological prognostic assessment and potentially enhance trial recruitment, as it captures faster biomarker-related cognitive decline in comparison to binary cut-points. Although this approach has implications for trial recruitment and observational studies, further discussion is needed regarding clinical practice applications.
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http://dx.doi.org/10.1002/trc2.12270 | DOI Listing |
Alzheimers Dement
December 2024
7T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Introduction: The choroid plexus (CP) may play a crucial role in brain degeneration. We aim to assess whether CP cysts (CPCs), defined using ultra-high field magnetic resonance imaging (MRI), relate to aging and neurodegeneration.
Methods: We used multi-sequence 7T MRI to observe CPCs, characterizing their presence and characteristics in healthy younger controls, healthy older controls (OCs), patients with Alzheimer's disease (AD), patients with Parkinson's disease (PD), and patients with uremic encephalopathy.
Alzheimers Dement
December 2024
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Introduction: Type 2 diabetes increases the risk of Alzheimer's disease (AD) dementia. Insulin signaling dysfunction exacerbates tau protein phosphorylation, a hallmark of AD pathology. However, the comprehensive impact of diabetes on patterns of AD-related phosphoprotein in the human brain remains underexplored.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Introduction: Alzheimer's disease (AD) is now diagnosed biologically. Since subjective cognitive decline (SCD) may indicate preclinical AD, assessing AD-biomarkers is crucial. We investigated cognitive and neurodegenerative trajectories in SCD over 24 months based on biomarker positivity, and evaluated the predictive value of plasma biomarkers.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Alzheimers Dement
December 2024
Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Introduction: Subjective cognitive decline (SCD) is linked to memory complaints and disruptions in certain brain regions identified by molecular imaging and resting-state functional magnetic resonance imaging studies. However, it remains unclear how these regions interact to contribute to both subjective and potential objective memory issues in SCD.
Methods: To address this gap, task-based imaging studies are essential.
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