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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.
Xiong, Min; You, Hongji; Liao, Wang; Mai, Yingren; Luo, Xiaoming; Liu, Yipei; Jiang, Sheng-Nan.
Affiliation
  • Xiong M; Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • You H; Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Liao W; Department of Neurology, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Mai Y; Department of Neurology, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Luo X; Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Liu Y; Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
  • Jiang SN; Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
J Alzheimers Dis Rep ; 8(1): 1229-1240, 2024.
Article in En | MEDLINE | ID: mdl-39247877
ABSTRACT

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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Alzheimers Dis Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Alzheimers Dis Rep Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos