Evidence map›Paper›PMID 33827675›Full record

ArticleAlzheimer's research & therapy2021

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

Qiu-Yue Dong, Tao-Ran Li, Xue-Yan Jiang, Xiao-Ni Wang, Ying Han, Jie-Hui Jiang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03370744 (Prediction of Cognitive Decline by Neuroimaging Techniques and the Application in Diagnosis and Treatment of Preclinical AD), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03370744 completednot on this map

Prediction of Cognitive Decline by Neuroimaging Techniques and the Application in Diagnosis and Treatment of Preclinical AD (Sino Longitudinal Study on Cognitive Decline, SILCODE)

TypeobservationalSponsorXuanwuH 2Ran2017 to 2022Enrolled300ConditionsSubjective Cognitive Decline, Preclinical Alzheimer's DiseaseArmsNeuropsychological scale
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Multimodal neuroimaging insights into the neurobiology of healthy aging across the lifespan.European journal of nuclear medicine and molecular imaging · 2025
    Article
  6. Article
  7. Article
  8. Plasma biomarkers as core mediators in functional network abnormalities: Evidence from a two-cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Observational
  10. Brain [Brain communications · 2025
    Article
  11. Review
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Significant Acceleration of Regional Brain Aging and Atrophy After Mild Traumatic Brain Injury.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Qiu-Yue Dong *Key laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Information and Communication Engineering, Shanghai University, Shanghai, China.
Tao-Ran Li *Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xue-Yan JiangDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Xiao-Ni WangDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Ying HanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. hanying@xwh.ccmu.edu.cn.
Jie-Hui JiangKey laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, School of Information and Communication Engineering, Shanghai University, Shanghai, China. jiangjiehui@shu.edu.cn.ORCID http://orcid.org/0000-0003-4948-3683
Capital Medical University · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSubjective 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.

methodsThis 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.

resultsOnly 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.

conclusionsThese 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.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBiomarkersFluorodeoxyglucose F18GlucoseHumansMagnetic Resonance ImagingPositron-Emission TomographyTemporal LobeBiomarkersFluorodeoxyglucose F18GlucoseAlzheimer’s diseaseFDG-PETGlucose metabolic biomarkerMiddle temporal gyrusSubjective cognitive decline

Identifiers

PMID33827675
PMCPMC8028241
OpenAlexW3140110192

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.