Evidence map›Paper›PMID 40374876›Full record

ArticleScientific reports2025

Coupling relationship between glucose and oxygen metabolisms to serve as an imaging biomarker for Alzheimer's disease.

Ze Yang, Jinhua Sheng, Qiao Zhang, Jay Tsai Chien Chou, Yu Xin, Luyun Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Ze YangSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
Jinhua ShengSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China. j.sheng@ieee.org.
Qiao ZhangBeijing Hospital, Beijing, 100730, China.
Jay Tsai Chien ChouKey Laboratory of Intelligent Image Analysis for Sensory and Cognitive Health, Ministry of Industry and Information Technology of P. R. China, Hangzhou, 310018, Zhejiang, China.
Yu XinSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.
Luyun WangSchool of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China.

Funding

Key Program of the Natural Science Foundation of Zhejiang Province (CN) LZ24F010007National Natural Science Foundations of China (CN) 62271177
6 · The paper itself

Abstract

CD33 rs3865444 polymorphism is closely associated with the risk of Alzheimer's disease (AD), and CD33 is part of the sialic acid-binding Ig-superfamily of lectins (SIGLECs). Immunostaining experiments in previous studies have confirmed the expression of CD33 in human brain microglial cells, and an increase in CD33 mRNA expression in the brain microglial cells of patients with cognitive impairment has been observed. The minor allele CD33 rs3865444 (A) has a protective effect against Alzheimer's disease pathology and is associated with reduced CD33 expression and clearance of amyloid-beta plaques. The risk allele CD33 rs3865444 (C) can cause abnormal activation of microglial cells, thereby inducing neuroinflammation, accompanied by an increase in metabolic levels. We hypothesize that the CD33 rs3865444 polymorphism may affect the coupling between glucose metabolism and neuronal activity, thereby influencing individual cognitive trajectories and the progression of cognitive impairment. In this study, we included 107 patients with mild cognitive impairment, among whom the limbic-orbital frontal cortex glucose-oxygen coupling (G/O) coefficient of the CD33 rs3865444 CC group was significantly reduced. Additionally, the results of the mediation analysis showed that the glucose-oxygen coupling coefficient completely mediated the effect of the CD33 rs3865444 polymorphism on the rate of clinical dementia rating increase.

Indexed as

Alzheimer DiseaseGlucoseOxygenSialic Acid Binding Ig-like Lectin 3AgedAged, 80 and overBiomarkersBrainCognitive DysfunctionFemaleHumansMaleMicrogliaMiddle AgedPolymorphism, Single NucleotideBiomarkersCD33 protein, humanGlucoseOxygenSialic Acid Binding Ig-like Lectin 3CD33 rs3865444Cognitive trajectoryFunctional MRI (fMRI)GlycometabolismMild cognitive impairmentOxygen metabolism

Identifiers

PMID40374876
PMCPMC12081672

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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.