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Glucose metabolism in the right middle temporal gyrus could be a potential biomarker for subjective cognitive decline: a study of a Han population

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机构: [1]Key laboratory of Specialty Fiber Optics and Optical Access Networks, JointInternational Research Laboratory of Specialty Fiber Optics and AdvancedCommunication, School of Information and Communication Engineering,Shanghai University, Shanghai, China [2]Department of Neurology, XuanwuHospital of Capital Medical University, Beijing, China [3]German Center forNeurodegenerative Diseases, Clinical Research group, Venusberg Campus 1,Building 99, Bonn, Germany [4]School of Biomedical Engineering, HainanUniversity, Haikou, China [5]Center of Alzheimer’s Disease, Beijing Institute forBrain Disorders, Beijing, China [6]National Clinical Research Center for GeriatricDisorders, Beijing, China
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关键词: Subjective cognitive decline Alzheimer’ s disease FDG-PET Glucose metabolic biomarker Middle temporal gyrus

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Introduction Subjective cognitive decline (SCD) represents a cognitively normal state but at an increased risk for developing Alzheimer's disease (AD). Recognizing the glucose metabolic biomarkers of SCD could facilitate the location of areas with metabolic changes at an ultra-early stage. The objective of this study was to explore glucose metabolic biomarkers of SCD at the region of interest (ROI) level. Methods This study was based on cohorts from two tertiary medical centers, and it was part of the SILCODE project (NCT03370744). Twenty-six normal control (NC) cases and 32 SCD cases were in cohort 1; 36 NCs, 23 cases of SCD, 32 cases of amnestic mild cognitive impairment (aMCIs), 32 cases of AD dementia (ADDs), and 22 cases of dementia with Lewy bodies (DLBs) were in cohort 2. Each subject underwent [18F]fluoro-2-deoxyglucose positron emission tomography (PET) imaging and magnetic resonance imaging (MRI), and subjects from cohort 1 additionally underwent amyloid-PET scanning. The ROI analysis was based on the Anatomical Automatic Labeling (AAL) template; multiple permutation tests and repeated cross-validations were conducted to determine the metabolic differences between NC and SCD cases. In addition, receiver operating characteristic curves were used to evaluate the capabilities of potential glucose metabolic biomarkers in distinguishing different groups. Pearson correlation analysis was also performed to explore the correlation between glucose metabolic biomarkers and neuropsychological scales or amyloid deposition. Results Only the right middle temporal gyrus (RMTG) passed the methodological verification, and its metabolic levels were correlated with the degrees of complaints (R = - 0.239, p = 0.009), depression (R = - 0.200, p = 0.030), and abilities of delayed memory (R = 0.207, p = 0.025), and were weakly correlated with cortical amyloid deposition (R = - 0.246, p = 0.066). Furthermore, RMTG metabolism gradually decreased across the cognitive continuum, and its diagnostic efficiency was comparable (NC vs. ADD, aMCI, or DLB) or even superior (NC vs. SCD) to that of the metabolism of the posterior cingulate cortex or precuneus. Conclusions These findings suggest that the hypometabolism of RMTG could be a typical feature of SCD, and the large-scale hypometabolism in patients with symptomatic stages of AD may start from the RMTG, which gradually progresses starting in the preclinical stage. The specificity of identifying SCD from the perspective of self-perceived symptoms is likely to be increased by the detection of RMTG metabolism.

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出版当年[2020]版:
大类 | 2 区 医学
小类 | 2 区 临床神经病学 2 区 神经科学
最新[2023]版:
大类 | 1 区 医学
小类 | 1 区 临床神经病学 1 区 神经科学
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出版当年[2019]版:
Q1 NEUROSCIENCES Q1 CLINICAL NEUROLOGY
最新[2023]版:
Q1 CLINICAL NEUROLOGY Q1 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者机构: [1]Key laboratory of Specialty Fiber Optics and Optical Access Networks, JointInternational Research Laboratory of Specialty Fiber Optics and AdvancedCommunication, School of Information and Communication Engineering,Shanghai University, Shanghai, China
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通讯机构: [2]Department of Neurology, XuanwuHospital of Capital Medical University, Beijing, China [4]School of Biomedical Engineering, HainanUniversity, Haikou, China [5]Center of Alzheimer’s Disease, Beijing Institute forBrain Disorders, Beijing, China [6]National Clinical Research Center for GeriatricDisorders, Beijing, China
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