使用 18F-FDG 的脑代谢生物标记物与认知能力和血管风险因素之间的关联及其在阿尔茨海默病诊断和分期中的用途。

IF 2.8 Q2 NEUROSCIENCES Journal of Alzheimer's disease reports Pub Date : 2024-09-05 eCollection Date: 2024-01-01 DOI:10.3233/ADR-240104
Min Xiong, Hongji You, Wang Liao, Yingren Mai, Xiaoming Luo, Yipei Liu, Sheng-Nan Jiang
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引用次数: 0

摘要

背景:18F-氟脱氧葡萄糖(18F-FDG)正电子发射断层扫描(PET)在阿尔茨海默病(AD)检查中具有重要价值:目的:探讨18F-FDG正电子发射断层扫描在区分和分期AD方面的有效性,以及脑葡萄糖代谢与认知功能和血管风险因素之间的关联。方法:纳入107名参与者,包括19名轻度认知障碍患者(MCI)、38名轻度AD患者、24名中度AD患者、15名中度重度AD患者和11名额颞叶痴呆患者(FTD)。采用了视觉分析和基于体素的分析程序。将年龄作为协变量,将认知条件(包括 6 项认知功能评分和 7 项单域认知表现)以及与高血压、高脂血症、糖尿病和肥胖有关的血管风险因素与 AD 痴呆症患者的葡萄糖代谢相关联:结果:18F-FDG PET 能有效区分 AD 和 FTD,还能区分 MCI 和 AD 亚型,它们的糖代谢显著不同(轻度 AD 除外)(身高阈值 p puncorr p p 结论:18F-FDG PET 能有效区分 AD 和 FTD,还能区分 MCI 和 AD 亚型,它们的糖代谢显著不同(轻度 AD 除外):本研究强调了 18F-FDG PET 在识别和分期 AD 方面的重要作用。脑糖代谢与AD痴呆症的认知状态和MCI的血管风险因素相关,这表明18F-FDG PET有望预测认知功能衰退,并可作为研究影响MCI向AD转化的血管风险因素潜在机制的直观框架。
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The Association Between Brain Metabolic Biomarkers Using 18F-FDG and Cognition and Vascular Risk Factors, as well as Its Usefulness in the Diagnosis and Staging of Alzheimer's Disease.

Background: 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) is valuable in Alzheimer's disease (AD) workup.

Objective: To explore the effectiveness of 18F-FDG PET in differentiating and staging AD and associations between brain glucose metabolism and cognitive functions and vascular risk factors.

Methods: 107 participates including 19 mild cognitive impairment (MCI), 38 mild AD, 24 moderate AD, 15 moderate-severe AD, and 11 frontotemporal dementia (FTD) were enrolled. Visual and voxel-based analysis procedures were utilized. Cognitive conditions, including 6 cognitive function scores and 7 single-domain cognitive performances, and vascular risk factors linked to hypertension, hyperlipidemia, diabetes, and obesity were correlated with glucose metabolism in AD dementia using age as a covariate.

Results: 18F-FDG PET effectively differentiated AD from FTD and also differentiated MCI from AD subtypes with significantly different hypometabolism (except for mild AD) (height threshold p < 0.001, all puncorr < 0.05, the same below). The cognitive function scores, notably Mini-Mental State Examination and Montreal Cognitive Assessment, correlated significantly with regional glucose metabolism in AD participants (all p < 0.05), whereas the single-domain cognitive performance and vascular risk factors were significantly associated with regional glucose metabolism in MCI patients (all p < 0.05).

Conclusions: This study underlines the vital role of 18F-FDG PET in identifying and staging AD. Brain glucose metabolism is associated with cognitive status in AD dementia and vascular risk factors in MCI, indicating that 18F-FDG PET might be promising for predicting cognitive decline and serve as a visual framework for investigating underlying mechanism of vascular risk factors influencing the conversion from MCI to AD.

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